Datasets:
test_info dict | summary dict | overall dict | detailed_results listlengths 95 116 |
|---|---|---|---|
{
"date": "0723_163058",
"model": "gpt-5.4_2026-03-05",
"month": "202603",
"reasoning_effort": "medium",
"min_score_filter": null,
"total_candidates": 112,
"total_tested": 112,
"timestamp": "2026-07-23T16:51:24",
"input_dir": "/mnt/shared/hanze/local/icml2026-research-level-math/Mathematician/helpers/... | {
"ge5_hard": {
"correct": 42,
"total": 112,
"accuracy": 0.375
}
} | {
"correct": 42,
"total": 112,
"accuracy": 0.375
} | [
{
"id": "2603.27196v1::orig",
"theorem_type": "ge5_hard",
"score": 5,
"correct_answer": "E",
"model_answer": "B",
"is_correct": false,
"reasoning_effort": "medium",
"requested_reasoning_effort": "medium",
"instance": "msra/shared",
"elapsed_seconds": 15.073241233825684,
"... |
{
"date": "0723_191846",
"model": "gpt-5.4_2026-03-05",
"month": "202604",
"reasoning_effort": "medium",
"min_score_filter": null,
"total_candidates": 108,
"total_tested": 108,
"timestamp": "2026-07-23T19:36:37",
"input_dir": "/mnt/shared/hanze/local/icml2026-research-level-math/Mathematician/helpers/... | {
"ge5_hard": {
"correct": 46,
"total": 108,
"accuracy": 0.42592592592592593
}
} | {
"correct": 46,
"total": 108,
"accuracy": 0.42592592592592593
} | [
{
"id": "2604.25513v1::alt1",
"theorem_type": "ge5_hard",
"score": 6,
"correct_answer": "E",
"model_answer": "E",
"is_correct": true,
"reasoning_effort": "medium",
"requested_reasoning_effort": "medium",
"instance": "gcr/shared",
"elapsed_seconds": 10.692768573760986,
"er... |
{
"date": "0723_225357",
"model": "gpt-5.4_2026-03-05",
"month": "202605",
"reasoning_effort": "medium",
"min_score_filter": null,
"total_candidates": 95,
"total_tested": 95,
"timestamp": "2026-07-23T23:11:12",
"input_dir": "/mnt/shared/hanze/local/icml2026-research-level-math/Mathematician/helpers/qa... | {
"ge5_hard": {
"correct": 46,
"total": 95,
"accuracy": 0.4842105263157895
}
} | {
"correct": 46,
"total": 95,
"accuracy": 0.4842105263157895
} | [
{
"id": "2605.24392v1::orig",
"theorem_type": "ge5_hard",
"score": 5,
"correct_answer": "A",
"model_answer": "A",
"is_correct": true,
"reasoning_effort": "medium",
"requested_reasoning_effort": "medium",
"instance": "msra/shared",
"elapsed_seconds": 14.587110757827759,
"e... |
{
"date": "0724_042756",
"model": "gpt-5.4_2026-03-05",
"month": "202606",
"reasoning_effort": "medium",
"min_score_filter": null,
"total_candidates": 116,
"total_tested": 116,
"timestamp": "2026-07-24T04:59:05",
"input_dir": "/mnt/shared/hanze/local/icml2026-research-level-math/Mathematician/helpers/... | {
"ge5_hard": {
"correct": 49,
"total": 116,
"accuracy": 0.4224137931034483
}
} | {
"correct": 49,
"total": 116,
"accuracy": 0.4224137931034483
} | [
{
"id": "2606.27329v2::alt1",
"theorem_type": "ge5_hard",
"score": 6,
"correct_answer": "B",
"model_answer": "B",
"is_correct": true,
"reasoning_effort": "medium",
"requested_reasoning_effort": "medium",
"instance": "gcr/shared",
"elapsed_seconds": 12.666792392730713,
"er... |
LiveMathematicianBench v7 — arXiv 2026-03 … 2026-06
An automated, refreshable benchmark of research-level mathematics multiple-choice questions, generated from newly published arXiv math papers (contamination-resistant by construction). Columbia University & Microsoft Research.
Each question is grounded in a theorem from a recent paper; distractors are adversarially crafted from the proof sketch, and a multi-stage hardness pipeline keeps the final set difficult for frontier models.
Layout
Per month (202603/, 202604/, 202605/, 202606/):
full/qaEval_<month>_full.json— all generated MCQs (v5)ge5/qaEval_<month>_ge5.json— quality-filtered (rubric ALS+TAS+GPS+DQS total_score ≥ 5)hard/qaEval_<month>_ge5_hard.json— final ge5-hard subset (one hardest item per source theorem)hard/accuracy_test_<month>_medium_filter2.json— final independent retest resultssummary.json— per-month funnel
Results — GPT-5.4 (medium) final hard-set accuracy
| Month | hard questions | accuracy |
|---|---|---|
| 2026-03 | 112 | 37.5% |
| 2026-04 | 108 | 42.6% |
| 2026-05 | 95 | 48.4% |
| 2026-06 | 116 | 42.2% |
| Overall | 431 | 42.5% |
Lower accuracy = harder. See summary.json for the full generation → ge5 → stem-nontrivial → hard funnel.
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