Split (1)

train · 1.7k rows

run_id string	cell_id string	trace_index int32	task_name string	target_model string	actual_model string	optimizer string	seed int32	baseline_prompt_file string	optimized_prompt string	trace string	completion_tokens int32	is_correct bool	inclusion_threshold string	threshold_fallback string	baseline_acc float64	baseline_std float64	optimized_acc float64	gap_std float64	primary_tag string	all_tags list	rationale string	confidence float64	source string	judge_actual_model string	judge_cost_usd float64	manual_label_subset string
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	68	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's break it down step by step. Step 1: Initial likes after 1 week = 2000. Step 2: Three weeks later, the number of likes was 70 times the initial number. So, $ 2000 \times 70 = 140,000 $ likes at that point. Step 3: Recently, she received 20,000 more new likes. So, \( 140,000 + 20,000 = 160,...	123	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer format ("The answer is X") present in the baseline, replacing them with a generic instruction to "state the final answer." This causes the model to output a boxed answer without the expected extraction marker, and the lack of worked examples like...	0.85	llm_judge	deepseek-v4-flash	0.000906	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	85	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step by step. 1. Josh starts with 3 balls in the first week. 2. Each week he adds 1 ball. - Week 1: 3 balls - Week 2: 4 balls - Week 3: 5 balls - Week 4: 6 balls 3. After the fourth week, he has 6 balls. 4. On stage, he slips and drops 3 balls. - 6 − 3 = **3 bal...	190	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer format ("The answer is ...") present in the baseline, replacing them with a vague instruction to "state the final answer." The model's trace shows correct reasoning but outputs a boxed answer without the required "####" marker, causing the scorer...	0.95	llm_judge	deepseek-v4-flash	0.000928	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	127	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s break it down step by step. Step 1: Understand the rates - Jack: 1 quarter = 20 minutes. - Two worse friends: half as long → 1 quarter = 10 minutes each. - One better friend: 1.5 times as long → 1 quarter = 30 minutes. Step 2: Total play time They play for 4 hours. 4 hours = 4 × 60 = 240 minut...	300	false	d1b	null	0.969	0.004183	0.965	0.956183	over_specification	[ "over_specification" ]	The optimized prompt adds a rigid step-by-step procedure that assumes all players play simultaneously for the full duration, which works for many problems but fails on this input where the correct interpretation (likely sequential play or shared machine) yields a different answer. The prompt's structure forces a specif...	0.85	llm_judge	deepseek-v4-flash	0.000928	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	137	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step by step. 1. Christina invited 16 friends. 2. She expects that 1/4 of them won’t show up. That means she expects $ 16 \times \frac{1}{4} = 4 $ guests to be absent. 3. So the number of guests who actually attend is $ 16 - 4 = 12 $. 4. She needs 0.75 gift bags per attending guest. That m...	162	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The model output uses a boxed LaTeX expression (\boxed{18}) instead of the expected plain-number format (e.g., '#### 18' or just '18'), so the answer extraction fails to parse the final answer correctly. The reasoning is otherwise correct, but the format mismatch causes the scorer to miss the answer, leading to underpe...	0.95	llm_judge	deepseek-v4-flash	0.000885	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	144	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's break it down step by step. Step 1: Time spent recording videos Britany records 18 videos per week, each 4 minutes long. 18 × 4 = 72 minutes per week. Step 2: Time spent writing songs She spends 2 hours per week writing songs. 2 hours = 120 minutes. Step 3: Time spent on makeup She spends...	243	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a machine-parseable format. The model outputs a boxed answer in LaTeX (oxed{1128 ext{ minutes}}) and an alternative in hours, which the GSM8K answer extractor cannot parse to a plain number. The reasoning is correct, but the sco...	0.95	llm_judge	deepseek-v4-flash	0.000926	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	159	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's break it down step by step. Step 1: Initial amounts - Blue shoe boxes: 7 - Red shoe boxes: 9 Step 2: Blue boxes used He uses 3 blue shoe boxes. Blue boxes left: $ 7 - 3 = 4 $ Step 3: Red boxes used He uses $ \frac{1}{3} $ of his red shoe boxes. $ \frac{1}{3} \times 9 = 3 $ red...	181	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a machine-parseable format. The model outputs a boxed expression '4 blue and 6 red' instead of a single number, causing the answer extractor to fail even though the reasoning is correct. The baseline prompt's few-shot examples imp...	0.95	llm_judge	deepseek-v4-flash	0.000905	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed43_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed43	181	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	43	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step by step. 1. Understand the time frame They worked for 3 weeks. 1 week = 7 days, so 3 weeks = $ 3 \times 7 = 21 $ days. 2. Work per day Each day, they worked for $ \frac{3}{8} $ of a day. Assuming a full day is 24 hours: $ \frac{3}{8} \times 24 = 9 $ hours per day f...	206	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify the required format (e.g., '#### N'). The model outputs a boxed answer, which the GSM8K answer-extraction parser cannot parse, causing a correct reasoning trace to be scored as incorrect. This format mismatch explains the accuracy...	0.95	llm_judge	deepseek-v4-flash	0.000889	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	19	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step by step. Step 1: Initial amount of water Day 1: 4000 gallons. Step 2: After a day of heavy rain, the amount doubles. Day 2: $ 4000 \times 2 = 8000 $ gallons. Step 3: On the third day, the volume increases by 6000 gallons from the previous day. Day 3: $ 8000 + 6000 = 14000 $ gallon...	153	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer-formatting cue ("The answer is ...") from the baseline, replacing them with a vague instruction to "state the final answer." This causes the model to output a boxed expression and compute a total over three days instead of the single day's volume...	0.95	llm_judge	deepseek-v4-flash	0.000897	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	24	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's go step by step. Step 1: Find the initial number of corn. We know: "At Allan's house, there is twice as much corn as cannolis." He has 40 cannolis initially. So, initial corn = $ 2 \times 40 = 80 $. Step 2: Add the new cannolis. He buys 60 more cannolis. New total cannolis = \( 40 + 60 = 100...	220	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer-formatting cue (the '####' marker) present in the baseline, reducing the task to a vague instruction. The model produces a correct reasoning chain but outputs a boxed answer instead of the required '#### N' format, causing the scorer to fail extr...	0.95	llm_judge	deepseek-v4-flash	0.000925	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	44	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	We know the car’s initial price in 2007 is $20,000, and it depreciates by 21% each year. Depreciation of 21% means the car retains $ 100\% - 21\% = 79\% $ of its value each year. Step 1: Determine the number of years from 2007 to 2010. \[ 2010 - 2007 = 3 \text{ years} \] **Step 2: Apply the depreciation for...	278	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars from the baseline, which provided worked examples of the required reasoning format and answer extraction pattern. Without these exemplars, the model produces a free-form solution with a boxed answer (\boxed{9860.78}) instead of the expected '#### 9860.78' format, and mo...	0.9	llm_judge	deepseek-v4-flash	0.000981	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	120	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s break this down step by step. Step 1: Total monthly allowance Colby has $150 for the month. Step 2: What he already spent - Movies on Friday/Saturday: 5 movies × $10 = $50 - Movies on other days: 8 movies × $7 = $56 - Popcorn: 2 tubs × $8 = $16 - Candy: 4 boxes × $2 = $8 **Step 3: Total spe...	278	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a machine-parseable format like '#### N'. The model outputs a boxed answer (\boxed{14}) which the GSM8K answer extractor cannot parse, causing a false negative even though the reasoning is correct. The baseline prompt uses explici...	0.95	llm_judge	deepseek-v4-flash	0.000949	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	124	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step-by-step. Step 1: Starting length The chalk starts at 5 inches. Step 2: Monday’s usage He used 45% of the chalk on Monday. 45% of 5 inches = $ 0.45 \times 5 = 2.25 $ inches used. Remaining after Monday: $ 5 - 2.25 = 2.75 $ inches. Step 3: Normal daily usage Normally he uses 2...	270	false	d1b	null	0.969	0.004183	0.965	0.956183	over_specification	[ "over_specification" ]	The optimized prompt instructs the model to 'state the final answer' without specifying the required format (e.g., '#### N'), and the model outputs a boxed answer that the scorer cannot parse. The baseline prompt uses a consistent 'The answer is N' pattern that the scorer expects, but the optimized prompt's vague outpu...	0.9	llm_judge	deepseek-v4-flash	0.000955	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	125	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's break it down step by step. Step 1: Initial counts - Blue shoe boxes: 7 - Red shoe boxes: 9 Step 2: Blue boxes used He uses 3 blue shoe boxes. Blue boxes left: $ 7 - 3 = 4 $ Step 3: Red boxes used He uses $ \frac{1}{3} $ of his red shoe boxes. $ \frac{1}{3} \times 9 = 3 $ red ...	181	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a machine-parseable format. The model outputs a boxed expression '4 blue and 6 red' instead of the expected single number (10), causing the answer extraction to fail even though the reasoning is correct.	0.95	llm_judge	deepseek-v4-flash	0.000881	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed44_1784252377	cell_dspy_mipro_gsm8k_ds_v4flash_seed44	156	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	44	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s break it down step by step. 1. Alexandra raises $430. Kim raises $320 more than Alexandra: $ 430 + 320 = 750 $ So Kim raises $750. 2. Sarah raises $300. Maryam raises $400 more than Sarah: $ 300 + 400 = 700 $ So Maryam raises $700. 3. Now add all amounts: Alexandr...	201	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a machine-parseable format (e.g., '#### 2180'). The model outputs a boxed answer using LaTeX oxed{2180}, which the GSM8K answer extractor likely fails to parse, causing a false negative even though the reasoning is correct. The b...	0.95	llm_judge	deepseek-v4-flash	0.000924	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	3	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's break it down step by step. Step 1: Points in the first game Sasha scored 14 points. Julie scored 4 fewer points than Sasha: Julie’s first game points = 14 − 4 = 10. Step 2: Points in the second game Sasha scored 6 fewer points than Julie’s score in the first game. Julie’s first game score was...	165	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The optimized prompt instructs the model to 'state the final answer' but does not specify a parseable format. The model outputs a boxed answer (\boxed{18}) instead of the expected '#### 18' marker, causing the answer extractor to fail even though the reasoning is correct. The baseline prompt uses explicit 'The answer i...	0.95	llm_judge	deepseek-v4-flash	0.000917	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	11	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's go step-by-step. Step 1: Find the daily energy use before reduction. The AC uses 900 watts per hour. If used for 8 hours a day: $ 900 \times 8 = 7200 $ watt-hours per day. Step 2: Convert to kilowatt-hours. Since 1 kilowatt = 1000 watts: $ 7200 \div 1000 = 7.2 $ kWh per day. **Step 3: Fin...	242	false	d1b	null	0.969	0.004183	0.965	0.956183	over_specification	[ "over_specification" ]	The optimized prompt instructs the model to 'state the final answer' without specifying the required format (e.g., '#### N'), and the model outputs a boxed answer. However, the scorer expects the answer in the baseline format (e.g., 'The answer is 81'). The trace shows correct reasoning but the final answer is wrong be...	0.85	llm_judge	deepseek-v4-flash	0.000953	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	36	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step by step. Step 1: Initial amount of water Day 1: 4000 gallons. Step 2: After a day of heavy rain, the amount doubles. Day 2: $ 4000 \times 2 = 8000 $ gallons. Step 3: On the third day, the volume increases by 6000 gallons from the previous day. Day 3: $ 8000 + 6000 = 14000 $ gallon...	153	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer format ("The answer is X") from the baseline, replacing them with a vague instruction to "state the final answer." The model then interprets the task as computing the total over three days rather than the amount on the third day, which is the act...	0.9	llm_judge	deepseek-v4-flash	0.000913	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	62	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let the cost of the lot be $ x $ dollars. Then the house costs $ 3x $ dollars. Together, they cost $120,000: \[ x + 3x = 120{,}000 \] \[ 4x = 120{,}000 \] \[ x = 30{,}000 \] So the house costs: \[ 3x = 3 \times 30{,}000 = 90{,}000 \] Final answer: \[ \boxed{90{,}000} \]	122	false	d1b	null	0.969	0.004183	0.965	0.956183	format_break	[ "format_break" ]	The model output uses a boxed LaTeX expression (\boxed{90{,}000}) instead of the expected plain number or '#### 90000' format. The scorer likely fails to extract the answer from this non-standard format, causing a correct reasoning trace to be marked incorrect.	0.95	llm_judge	deepseek-v4-flash	0.000854	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	79	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s go step-by-step. 1. There are 54 students total. 2. They are separated into 6 equal groups. So each group has: $ 54 \div 6 = 9 $ students per group. 3. The activity requires 12 groups. Currently, there are 6 groups. 4. Number of additional groups needed: $ 12 - 6 = 6 $. **Final answe...	107	false	d1b	null	0.969	0.004183	0.965	0.956183	over_specification	[ "over_specification" ]	The optimized prompt instructs the model to 'state the final answer' without specifying the required format (e.g., '#### N'), and the model outputs a boxed answer. The scorer likely expects the '####' marker, so the correct reasoning is not extracted. This is a format break, but the root cause is the prompt's over-spec...	0.85	llm_judge	deepseek-v4-flash	0.000883	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	88	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let’s break it down step by step. 1. Alexandra raises $430. Kim raises $320 more than Alexandra: $ 430 + 320 = 750 $ So Kim raises $750. 2. Sarah raises $300. Maryam raises $400 more than Sarah: $ 300 + 400 = 700 $ So Maryam raises $700. 3. Now add all amounts: Alexandr...	203	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars and the explicit answer format ("The answer is ...") present in the baseline, leaving only a vague instruction to "state the final answer." The model outputs a boxed answer instead of the expected plain number, and the lack of structured reasoning guidance leads to an a...	0.85	llm_judge	deepseek-v4-flash	0.000918	null
cell_dspy_mipro_gsm8k_ds_v4flash_seed46_1784252573	cell_dspy_mipro_gsm8k_ds_v4flash_seed46	117	gsm8k	deepseek-v4-flash	deepseek-v4-flash	dspy_mipro	46	null	Solve a grade-school math problem step by step, then state the final answer. Q: {question} A:	Let's go step-by-step. Step 1: Total land Abraham starts with 80 square meters. Step 2: First sale He sold half of the land. Half of 80 = 40 square meters. He sold this for $50. Step 3: Second sale After that, he sold another 1/4 of his land. 1/4 of 80 = 20 square meters. He sold this for $...	232	false	d1b	null	0.969	0.004183	0.965	0.956183	instruction_collapse	[ "instruction_collapse" ]	The optimized prompt drops the few-shot exemplars from the baseline, which provided worked solutions and a clear answer format ("The answer is X"). Without these exemplars, the model produces a correct reasoning chain but outputs the answer in a $\boxed{140}$ format that the scorer cannot parse, leading to a false ne...	0.9	llm_judge	deepseek-v4-flash	0.00094	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	1	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation examples. The representative trace shows a news article about Google's business success being misclassified as 'Business' instead of 'Sci/Tech', likely because the added rul...	0.85	llm_judge	deepseek-v4-flash	0.000746	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	3	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit the validation distribution. The representative trace shows a news article about Apple's financial earnings being misclassified as 'Business' instead of 'Sci/Tech', likely because the added r...	0.85	llm_judge	deepseek-v4-flash	0.000736	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	7	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that over-constrain the classification. The trace shows a news article about an elephant receiving therapy—a human-interest/oddity story—which does not fit neatly into the provided subcategories, causing the...	0.85	llm_judge	deepseek-v4-flash	0.000748	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	11	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory bullet points (e.g., 'not stock news about the company') that over-constrain the classification. The trace shows a news article about a company (SAP) winning a government contract, which the model classifies as 'Business' because it involves a corporate contract, but the g...	0.85	llm_judge	deepseek-v4-flash	0.000758	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	15	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation examples and cause the model to misclassify a news article about a study on online drug purchases as Sci/Tech instead of World, because the article's mention of 'Internet' and ...	0.85	llm_judge	deepseek-v4-flash	0.00073	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	28	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Article: Alternative Energy: Ready or not? Even with a boost from higher oil prices and growing concern about global warming, the payoff on most alternative energy technologies seems a ways off. Topic: Sci/Tech	43	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory bullet points that over-specify the boundaries of each label. In the trace, an article about alternative energy economics is classified as Sci/Tech because the bullet for Sci/Tech includes 'engineering breakthroughs' and 'weather science', but the article is actually a Bus...	0.85	llm_judge	deepseek-v4-flash	0.000743	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	29	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sports	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation examples. The trace shows a news article about betting on a charity single being misclassified as 'Sports' because the prompt's 'Sports' definition includes 'games, matches, at...	0.85	llm_judge	deepseek-v4-flash	0.000759	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	32	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that over-constrain the classification. The trace shows a news article about consumer spyware being misclassified as Sci/Tech instead of Business, likely because the added Sci/Tech definition includes 'so...	0.85	llm_judge	deepseek-v4-flash	0.000744	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	49	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy, conflicts...') that overfit to the validation examples. The trace shows a news article about a debt ceiling increase being misclassified as 'Business' instead of 'World', likely because the prompt's subcategory ...	0.85	llm_judge	deepseek-v4-flash	0.000754	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	51	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The trace shows a news article about a business deal involving a tech company (SAP) being misclassified as 'Business' instead of 'Sci/Tech', likely because the...	0.85	llm_judge	deepseek-v4-flash	0.000745	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	54	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory bullet points that over-specify the classification boundaries. In the trace, an article about computer screen prices is misclassified as 'Business' because the bullet for Business includes 'stock news, M&A' and the article is from Reuters, but the article is actually about...	0.85	llm_judge	deepseek-v4-flash	0.000733	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	57	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sports	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation examples. The trace shows a tennis article about the Australian Open being classified as 'Sports' when the gold label is 'World', likely because the article's focus on a tourna...	0.85	llm_judge	deepseek-v4-flash	0.000751	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	65	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions for each label (e.g., 'World: international politics, diplomacy, conflicts...'). While these definitions help on typical examples, they can mislead the model on borderline cases: the article about oil prices and stocks is classified as 'Business' because it men...	0.85	llm_judge	deepseek-v4-flash	0.000745	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	73	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation examples. This causes the model to misclassify a news article about IBM acquiring a tech company as 'Business' instead of 'Sci/Tech', because the added rule incorrectly excl...	0.85	llm_judge	deepseek-v4-flash	0.000725	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	79	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The representative trace shows a drug-safety article about Merck and Vioxx, which the model misclassifies as Sci/Tech (likely because it involves medical resea...	0.85	llm_judge	deepseek-v4-flash	0.000788	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	87	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation distribution. The trace shows a news article about Alstom signing contracts in China—a business-related event with geopolitical implications—which the model misclassifies as 'B...	0.85	llm_judge	deepseek-v4-flash	0.000744	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	90	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'not stock news about the company') that over-constrain the classification. This causes the model to misclassify a news article about Intel's flash market gains as 'Business' instead of 'Sci/Tech', because the added rule incorrectly excludes tech-company...	0.85	llm_judge	deepseek-v4-flash	0.000739	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	92	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'not stock news about the company') that overfit to the validation distribution. The trace shows a flat-panel LCD factory article being misclassified as 'Business' because the added rule incorrectly excludes such tech-manufacturing news from Sci/Tech, ca...	0.85	llm_judge	deepseek-v4-flash	0.000715	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	94	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation examples. The trace shows a news article about an Internet pharmacy closing due to economic factors—the model outputs 'Business' because the prompt's Business definition includ...	0.85	llm_judge	deepseek-v4-flash	0.000757	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	109	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The trace shows a news article about Tokyo stocks being classified as 'Business' when the gold label is 'World', likely because the added specification incorre...	0.85	llm_judge	deepseek-v4-flash	0.000724	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	113	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The representative trace shows a news article about Internet-based video and copyright issues, which the model classified as Sci/Tech due to the 'technology pr...	0.85	llm_judge	deepseek-v4-flash	0.000749	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	118	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The trace shows a business-related article about Salesforce.com's profit being misclassified as 'Business' instead of 'Sci/Tech', likely because the added rule...	0.85	llm_judge	deepseek-v4-flash	0.000732	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	126	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory bullet points (e.g., 'World: international politics, diplomacy...') that over-constrain the classification. The trace shows a news article about a legal ruling in a tech takeover case being misclassified as 'Business' because the bullet points emphasize 'M&A' under Busines...	0.85	llm_judge	deepseek-v4-flash	0.000788	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	132	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Sci/Tech	3	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The representative trace shows a news article about a sex toy shutting down an airport — a 'World' story — but the model outputs 'Sci/Tech', likely because the...	0.85	llm_judge	deepseek-v4-flash	0.000761	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	135	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	World	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. The representative trace shows a news article about a business appointment (Kellogg CEO nominated for Commerce Secretary) being misclassified as 'World' becaus...	0.85	llm_judge	deepseek-v4-flash	0.000758	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	136	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	World	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that over-constrain the classification. The representative trace shows a Sci/Tech article about vegetarianism being misclassified as World, likely because the added Sci/Tech definition excludes non-stock,...	0.85	llm_judge	deepseek-v4-flash	0.000737	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	141	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	World	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation examples. The trace shows the model classifying a cybersecurity resignation as 'World' because the definitions bias it toward geopolitical framing, whereas the gold label is 'S...	0.85	llm_judge	deepseek-v4-flash	0.000728	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	160	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that over-constrain the classifier. The trace shows a Forbes article about a marketing campaign using text messages and bottle caps—a topic that could be interpreted as Business (marketing) or Sci/Tech (t...	0.85	llm_judge	deepseek-v4-flash	0.000771	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	183	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	Business	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'Sci/Tech: ... not stock news about the company') that overfit to the validation distribution. In the trace, an article about TheStreet.com being up for sale involves financial news and a company, which the prompt's Sci/Tech definition explicitly exclude...	0.85	llm_judge	deepseek-v4-flash	0.000752	null
cell_gepa_ag_news_ds_v4flash_seed44_1784252660	cell_gepa_ag_news_ds_v4flash_seed44	193	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	44	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. - World: international politics, diplomacy, conflicts, treaties, elections, geopolitics. - Sports: games, matches, athletes, leagues, tournaments, scores. - Business: finance, markets, corporate earnings, regulation, stock news, M&A. - Sci/Tech:...	World	1	false	d1b	null	0.862	0.017889	0.85	0.67082	over_specification	[ "over_specification" ]	The optimized prompt adds detailed subcategory definitions (e.g., 'World: international politics, diplomacy...') that overfit to the validation distribution. The representative trace shows a news article about online political behavior (voter site preferences) which is not clearly covered by the rigid subcategory list,...	0.85	llm_judge	deepseek-v4-flash	0.000754	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	9	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (about Google's quantum computing chip) that is not present in the baseline. This extra example is specific to Sci/Tech and does not help generalization; it may bias the model toward Sci/Tech predictions or away from World topics. The trace shows a sports-related article being ...	0.85	llm_judge	deepseek-v4-flash	0.000715	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	10	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (about a quantum computing chip) that is not present in the baseline. This extra example is from the Sci/Tech category, which may bias the model toward Sci/Tech predictions or away from World/Sports/Business in ambiguous cases. The representative trace shows a sports-related ar...	0.85	llm_judge	deepseek-v4-flash	0.000727	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	29	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example biases the model toward Sci/Tech predictions and does not improve generalization, as shown by the misclassification of a World article as Business. The added example leaks a speci...	0.85	llm_judge	deepseek-v4-flash	0.00071	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	39	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern (technology company + product), which does not generalize to the test article about Sandia Motor Speedway being sold on eBay — a story that...	0.9	llm_judge	deepseek-v4-flash	0.000747	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	47	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern from the validation set, but on the test article about BASS moving headquarters (which is actually Business, not Sports), the model is bias...	0.85	llm_judge	deepseek-v4-flash	0.000734	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	52	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is specific to Sci/Tech, which biases the model toward Sci/Tech predictions for articles that are not clearly Sci/Tech, as seen in the trace where a Microsoft-Time Warner deal is misclassified as Business instead of Sci/Tech. This added exam...	0.9	llm_judge	deepseek-v4-flash	0.000715	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	61	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is also Sci/Tech, reinforcing the existing Sci/Tech pattern from the baseline. However, the representative trace shows a Business article about Microsoft licensing fees being misclassified as Business when the gold label is Sci/Tech, suggest...	0.7	llm_judge	deepseek-v4-flash	0.000745	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	62	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example about a quantum computing chip labeled Sci/Tech, which overfits to the validation set's pattern of technology-related articles. The representative trace shows a Sci/Tech article about global warming and hurricanes being misclassified as World, indicating the added example did n...	0.85	llm_judge	deepseek-v4-flash	0.000703	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	70	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is specific to Sci/Tech, which overfits the validation distribution and does not generalize. The representative trace shows a Sci/Tech article misclassified as Business, indicating the added example skewed the model's decision boundary.	0.85	llm_judge	deepseek-v4-flash	0.000691	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	74	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example ('Google unveils new quantum computing chip with 1000 qubits. Topic: Sci/Tech') that is not present in the baseline. This extra example overfits the prompt to the validation distribution, making the model more likely to classify tech-related articles as Sci/Tech but not improvi...	0.85	llm_judge	deepseek-v4-flash	0.000735	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	78	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example is a Sci/Tech article, which may bias the model toward predicting Sci/Tech for similar articles but does not help with the actual test distribution. The representative trace shows a news art...	0.85	llm_judge	deepseek-v4-flash	0.000733	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	79	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example ('Google unveils new quantum computing chip with 1000 qubits. Topic: Sci/Tech') that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern (tech company + product announcement), which does not generalize to the test article about Unisys layo...	0.9	llm_judge	deepseek-v4-flash	0.000749	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	82	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern (quantum computing) and does not improve generalization; the representative trace shows a sports-related article being misclassified as Spo...	0.85	llm_judge	deepseek-v4-flash	0.00072	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	91	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is specific to Sci/Tech, which overfits the validation distribution and does not generalize. The representative trace shows a Sci/Tech article (about hawks being evicted) being misclassified as World, suggesting the added example biased the ...	0.85	llm_judge	deepseek-v4-flash	0.000717	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	98	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds an extra example about Google's quantum computing chip labeled Sci/Tech, which overfits to the validation set. The representative trace shows a news article about Google founders selling stock, which the model misclassifies as Business (likely because the added example biases it toward Sci/Tec...	0.85	llm_judge	deepseek-v4-flash	0.000722	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	99	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example biases the model toward Sci/Tech predictions and does not improve generalization; the representative trace shows a sports article misclassified as Sports when the gold label is World, indica...	0.85	llm_judge	deepseek-v4-flash	0.000704	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	100	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	trivial_restatement	[ "trivial_restatement" ]	The optimized prompt is nearly identical to the baseline, only adding one extra example (Google quantum computing chip) that does not improve generalization and may slightly shift the distribution. The core instruction and format are unchanged, so the underperformance is due to a trivial restatement that fails to add t...	0.9	llm_judge	deepseek-v4-flash	0.000693	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	110	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example ('Google unveils new quantum computing chip with 1000 qubits. Topic: Sci/Tech') that is not present in the baseline. This extra example overfits the prompt to the validation distribution, making the model more likely to classify tech-related articles as Sci/Tech while not impro...	0.85	llm_judge	deepseek-v4-flash	0.000731	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	125	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is specific to Sci/Tech, which overfits the validation distribution and does not generalize. The representative trace shows a Business prediction for a Sci/Tech article, indicating the added example skewed the model's behavior away from the ...	0.85	llm_judge	deepseek-v4-flash	0.000695	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	126	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is very similar to the test article about PayPal technical issues, both being Sci/Tech. This overfits the prompt to the validation distribution, causing the model to misclassify a Sci/Tech article as Business because the added example does n...	0.85	llm_judge	deepseek-v4-flash	0.000702	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	132	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example is a Sci/Tech article, which may bias the model toward Sci/Tech predictions for similar tech-related articles, but the representative trace shows a tech-related article (Cisco/Fujitsu networ...	0.85	llm_judge	deepseek-v4-flash	0.00074	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	135	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example ('Google unveils new quantum computing chip with 1000 qubits. Topic: Sci/Tech') that is not present in the baseline. This extra example overfits the prompt to the validation distribution, causing the model to bias toward Sci/Tech or to rely on surface patterns from the added ex...	0.85	llm_judge	deepseek-v4-flash	0.000752	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	137	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Sports	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (about Google's quantum chip) that is not present in the baseline. This extra example biases the model toward Sci/Tech topics, as seen in the trace where a cricket article about a player missing a test match is misclassified as Sports instead of World. The added example does no...	0.95	llm_judge	deepseek-v4-flash	0.000704	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	138	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example is from the Sci/Tech category, which may bias the model toward predicting Sci/Tech for articles that are similar in topic (e.g., technology-related), but the representative trace shows a mis...	0.85	llm_judge	deepseek-v4-flash	0.000726	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	144	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example is a Sci/Tech article, which may bias the model toward predicting Sci/Tech for similar tech-related articles, but the representative trace shows a Business article being misclassified as Sci...	0.7	llm_judge	deepseek-v4-flash	0.000856	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	158	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern (technology company + new product), which does not generalize to the test article about Thomson and ContentGuard (a business/tech crossover...	0.85	llm_judge	deepseek-v4-flash	0.000731	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	164	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum chip → Sci/Tech) that is not present in the baseline. This extra example overfits to a specific Sci/Tech pattern, but the representative trace shows a Business article misclassified as World, indicating the added example did not help generalization and may have ...	0.85	llm_judge	deepseek-v4-flash	0.0007	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	170	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is not present in the baseline. This extra example is a Sci/Tech article, which may bias the model toward predicting Sci/Tech for similar inputs, but the representative trace shows a Business article misclassified as World. The added example...	0.85	llm_judge	deepseek-v4-flash	0.000716	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	176	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip) that is specific to Sci/Tech, which biases the model toward that label for technology-related articles. However, the representative trace shows a business-related article about IBM hiring being misclassified as Business when the gold label is Sci...	0.8	llm_judge	deepseek-v4-flash	0.000743	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	196	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	World	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt is nearly identical to the baseline but adds a fifth example ('Google unveils new quantum computing chip with 1000 qubits. Topic: Sci/Tech') that over-represents the Sci/Tech category. This biases the model toward Sci/Tech predictions and does not improve generalization, as evidenced by the misclas...	0.9	llm_judge	deepseek-v4-flash	0.000706	null
cell_gepa_ag_news_ds_v4flash_seed45_1784252712	cell_gepa_ag_news_ds_v4flash_seed45	197	ag_news	deepseek-v4-flash	deepseek-v4-flash	gepa	45	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Article: Diplomats meet at UN to discuss climate policy. Topic: World Article: Lakers beat Celtics in overtime thriller. Topic: Sports Article: Federal Reserve hints at interest rate hike next quarter. Topic: Business Article: New AI model clai...	Business	1	false	d1b	null	0.862	0.017889	0.845	0.950329	exemplar_leak	[ "exemplar_leak" ]	The optimized prompt adds a fifth example (Google quantum computing chip → Sci/Tech) that is not present in the baseline. This extra example biases the model toward Sci/Tech predictions on test articles that mention technology, but does not improve overall accuracy and may cause misclassifications like the representati...	0.85	llm_judge	deepseek-v4-flash	0.000701	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	2	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses a corporate asset sale and financial transaction between two telecommunications companies, which falls under corporate finance and regulatory/business dealings rather than technology product innovation.	38	false	d1b	null	0.771	0.023292	0.7	3.048305	format_break	[ "format_break" ]	The optimized prompt's added definitions and examples cause the model to output a verbose explanation after the label, breaking the expected 'Topic: <label>' format. The scorer likely expects only the label after 'Topic:', and the extra text prevents correct extraction, even though the predicted label 'Business' is cor...	0.9	llm_judge	deepseek-v4-flash	0.000726	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	3	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Business This article focuses on corporate finance and regulatory issues - specifically a pharmaceutical company's decision to sponsor a clinical trial in response to regulatory concerns about drug safety. While it involves a medical/pharmaceutical product, the news angle is about the business decision, corporate ...	77	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Sci/Tech category, explicitly excluding technology company products and digital innovations from Business. This causes the model to misclassify a business-related pharmaceutical trial as Business (which is correct) but the trace shows the model's reas...	0.7	llm_judge	deepseek-v4-flash	0.000817	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	14	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses labor market trends, employment predictions, and economic policy implications regarding the future job market for unskilled workers in Britain. While it touches on economic forecasting, it's fundamentally about labor economics, workforce trends, and business/employment policy...	76	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions and extra examples that over-specify the Sci/Tech category, explicitly excluding technology company products and digital innovations from Business. This causes the model to misclassify a Business article about labor market trends as Business, but the trace shows the model'...	0.7	llm_judge	deepseek-v4-flash	0.000825	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	17	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article focuses on corporate finance and a major acquisition deal (Standard Chartered's bid for a majority stake in Bank Permata), which falls under business/corporate finance rather than technology company developments.	49	false	d1b	null	0.771	0.023292	0.7	3.048305	format_break	[ "format_break" ]	The optimized prompt's added definitions and examples do not cause the model to produce a bare label; instead, the model outputs a bolded label followed by an explanatory sentence. The scorer likely expects only the label (e.g., 'Business') and fails to extract it from the verbose response, leading to a false negative ...	0.9	llm_judge	deepseek-v4-flash	0.000762	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	21	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	This article appears to be incomplete or corrupted (it cuts off mid-sentence with "they just didn #39;t smell right"). Based on the fragment provided, it seems to be a personal narrative or lifestyle piece about Christmas trees, which doesn't clearly fit into any of the four categories (World, Sports, Business, Sci/T...	95	false	d1b	null	0.771	0.023292	0.7	3.048305	instruction_collapse	[ "instruction_collapse", "format_break" ]	The optimized prompt's added definitions and examples over-emphasize the 'Sci/Tech' category and introduce a restrictive exclusion ('but NOT technology company products...') that misleads the model on a Business article about a retail trend. Additionally, the model's response is a meta-commentary refusing to classify, ...	0.85	llm_judge	deepseek-v4-flash	0.000783	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	22	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article focuses on corporate financial performance (sales figures, earnings) and insurance industry operations, which are core business topics. While it mentions a tech company (Aviva), the article is about their financial results and pension sales—not about technology products or digital inno...	63	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds a detailed definition for Business that explicitly excludes technology company products, platforms, or digital innovations, and includes a counter-example (Sony, tech startup) that biases the model to classify any mention of a tech company as Sci/Tech. In the trace, the model correctly identif...	0.85	llm_judge	deepseek-v4-flash	0.000802	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	25	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: World This article deals with a human interest/social issue involving an individual and their family situation. While it doesn't fit neatly into the primary categories, it falls closest to "World" as it covers a general news event of international/human interest nature rather than sports, business, or technolog...	70	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions for each category, particularly for Business and Sci/Tech, which over-constrain the classification. The trace shows the model struggling with a human-interest story, incorrectly forcing it into 'World' because the definitions don't cover such cases, leading to a wrong clas...	0.8	llm_judge	deepseek-v4-flash	0.000755	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	26	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Sci/Tech This article describes a software product launch and its features (network monitoring, compliance tools, security capabilities). It focuses on a technology company's product announcement and digital innovation, which falls under Sci/Tech rather than Business.	54	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Sci/Tech category, explicitly excluding technology company products from Business and including them in Sci/Tech. This causes the model to classify a software product launch as Sci/Tech, but the gold label is Business, indicating the added constraints...	0.85	llm_judge	deepseek-v4-flash	0.000766	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	32	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses a corporate acquisition (UBS buying SoundView from Charles Schwab) involving financial terms and market positioning. While it involves financial/banking companies, the focus is on the corporate transaction, deal value, and business strategy rather than technology products or digi...	63	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Business category by explicitly excluding technology-related content ('but NOT technology company products, platforms, or digital innovations'). This causes the model to overthink and misclassify a straightforward business acquisition as not Business,...	0.85	llm_judge	deepseek-v4-flash	0.000756	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	33	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses economic policy and economic conditions (strong dollar, oil prices, drought effects) affecting a country's economy, which falls under Business rather than World politics/diplomacy.	43	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-narrow the Business category to exclude technology-related content and over-emphasize economic policy, causing the model to misclassify a World news article about a country's economic outlook as Business. The added specificity works for the validation distributio...	0.85	llm_judge	deepseek-v4-flash	0.000743	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	35	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Sci/Tech This article discusses hiring trends in the IT services industry and job market conditions for tech workers. While it touches on employment, the focus is on the technology sector and tech worker skills/careers, making it a tech industry development rather than general business/economic policy.	64	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Sci/Tech category, explicitly excluding technology company products and digital innovations from Business and including tech industry developments in Sci/Tech. This causes the model to misclassify a business/employment article about IT services hiring...	0.85	llm_judge	deepseek-v4-flash	0.000771	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	37	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Sci/Tech This article discusses a security vulnerability in the Linux kernel, which is a technology product/platform issue. It covers a technical security breach in software, making it a technology industry development rather than a business, sports, or world news story.	57	false	d1b	null	0.771	0.023292	0.7	3.048305	format_break	[ "format_break" ]	The optimized prompt's added definitions and examples do not change the classification task, but the model's output includes a bolded label followed by an explanatory sentence. The scorer likely expects the bare label 'Sci/Tech' and fails to extract it from the verbose response, causing a correct classification to be m...	0.9	llm_judge	deepseek-v4-flash	0.000757	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	38	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses Nissan's production suspensions and financial impact due to parts shortages, which are corporate operational and financial matters. While it involves a manufacturing company, the focus is on production decisions, supply chain issues, and earnings impact—core business concerns...	70	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions and extra examples that over-specify the Sci/Tech category, explicitly excluding technology company products and digital innovations from Business. This causes the model to misclassify a business-related article about Nissan's production suspensions as Business (which is c...	0.8	llm_judge	deepseek-v4-flash	0.000813	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	47	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Sci/Tech This article discusses Microsoft's software update (SP2 for Windows XP), which is a technology product announcement and development. Even though it mentions a delay and corporate concerns about installation, the core subject is a tech company's software release, making it a Sci/Tech classification rather ...	70	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Sci/Tech category, explicitly excluding technology company products from Business and including tech company announcements in Sci/Tech. This causes the model to classify a Microsoft software update as Sci/Tech, but the gold label is Business, indicati...	0.85	llm_judge	deepseek-v4-flash	0.000752	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	56	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article focuses on Gateway's financial performance (net loss), restructuring operations, and a corporate acquisition—all core business/corporate finance matters. While Gateway is a technology company, the article is about its financial results and corporate restructuring, not about technology prod...	63	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds a detailed definition for Business that explicitly excludes 'technology company products, platforms, or digital innovations', and adds examples that classify tech company announcements as Sci/Tech. This over-specification causes the model to misclassify a Business article about a tech company'...	0.9	llm_judge	deepseek-v4-flash	0.000763	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	58	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: World This article discusses global environmental consumption patterns and includes a warning from an international organization (WWF International) about planetary resource sustainability. It addresses a global issue affecting international relations and environmental policy, which falls under World news rathe...	83	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "instruction_collapse", "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the categories, particularly the Business definition explicitly excluding technology products and the Sci/Tech definition emphasizing tech products and digital services. This causes the model to misclassify a science/environment article as World because i...	0.85	llm_judge	deepseek-v4-flash	0.000793	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	67	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: Business This article discusses corporate earnings guidance, profit warnings, and industry outlook—all core business/finance topics. While it involves tech companies in the definitions, this article is about financial performance and corporate guidance rather than technology products or innovations.	53	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Business category by explicitly excluding technology company products and digital innovations, and it adds an extra example that classifies a tech startup funding round as Sci/Tech. This causes the model to overthink and provide a verbose justificatio...	0.8	llm_judge	deepseek-v4-flash	0.000798	null
cell_gepa_ag_news_haiku45_seed43_1785570814	cell_gepa_ag_news_haiku45_seed43	68	ag_news	claude-haiku-4-5-20251001	claude-haiku-4-5-20251001	gepa	43	null	Classify each news article into one of: World, Sports, Business, Sci/Tech. Definitions: - World: International politics, conflicts, diplomacy, global events, international relations - Sports: Athletic competition, teams, players, game results, sports organizations - Business: Corporate finance, markets, earnings, econ...	Topic: World This article discusses international diplomacy and a global environmental agreement involving multiple nations and the Bush administration, which falls under international relations and global events.	35	false	d1b	null	0.771	0.023292	0.7	3.048305	over_specification	[ "over_specification" ]	The optimized prompt adds detailed definitions that over-specify the Sci/Tech category, explicitly excluding technology company products and digital innovations from Business and reclassifying them as Sci/Tech. This causes the model to misclassify a climate-policy article as World because the definitions emphasize inte...	0.8	llm_judge	deepseek-v4-flash	0.00077	null

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