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Lakshan2003
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customerservice_qa_semantic_lexical_results

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train · 12 rows

model stringlengths 7 21	BARTScore (mean) float64 -3.08 -2.23	BERTScore F1 (mean) float64 0.88 0.91	Cosine Similarity (all-mpnet-base-v2) float64 0.51 0.71	METEOR float64 0.28 0.46	ROUGE-1 float64 0.29 0.48	ROUGE-2 float64 0.08 0.26	ROUGE-L float64 0.2 0.4	num_tested_samples int64 36.7k 36.7k
GPT-4.1	-2.5145	0.8994	0.6749	0.3685	0.4029	0.1678	0.3038	36,669
Gemini-2.5-Flash	-2.6409	0.8942	0.6234	0.311	0.3675	0.1422	0.2771	36,669
Gemma-3-4B	-3.0766	0.8752	0.5134	0.2782	0.2883	0.0764	0.2024	36,669
LLaMA-3.1-8B-Instruct	-2.2332	0.9134	0.7051	0.4569	0.4794	0.2627	0.394	36,669
LLaMA-3.2-1B-Instruct	-2.706	0.8821	0.5909	0.3032	0.3298	0.1053	0.2332	36,669
LLaMA-3.2-3B-Instruct	-2.2655	0.9121	0.6958	0.4471	0.4697	0.2514	0.3842	36,669
Phi-4-Mini	-2.2872	0.9107	0.6891	0.4303	0.4607	0.242	0.3747	36,669
Qwen-3-1.7B-Instruct	-2.3096	0.9096	0.6731	0.4138	0.4508	0.2347	0.3697	36,669
Qwen-3-4B-Instruct	-2.2311	0.9137	0.6972	0.4455	0.4768	0.2636	0.3959	36,669
Qwen-3-8B-Instruct	-2.497	0.8995	0.6621	0.3792	0.4041	0.1795	0.3121	36,669
SmolLM-3B-Instruct	-2.7699	0.883	0.5428	0.3022	0.3369	0.1036	0.2393	36,669
Virtuoso-Large	-2.4625	0.9011	0.6676	0.377	0.4078	0.1809	0.3161	36,669

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