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Distractor Generation on SciQ

25.5P@1

GPT-3(few-shot-COT-k-NN)

Updated 1mo ago

Evaluation Results

Method	Links
GPT-3(few-shot-COT-k-NN) 2026.04		25.5	8.5	17.03	31.08	35.89	0.1	0
GPT-3(few-shot-random) 2026.04		25.1	8.37	16.13	30.17	34.57	0.2	0.1
T5(contrast) 2026.04		25	8.33	17.73	31.42	36.68	8.8	6.5
GPT-3(few-shot-k-NN) 2026.04		24.9	8.3	16.53	30.45	35.24	0.1	0
GPT-3(few-shot-COT-random) 2026.04		24.5	8.17	15.7	29.53	33.82	0.2	0
GPT-3(zero-shot) 2026.04		24.4	8.13	15.47	29.3	33.45	0.1	0.3
T5(multi-task) 2026.04		21.2	7.07	14.27	25.47	28.52	18.9	11.1
TinyLlama 2026.04		20.5	6.83	15.4	27.07	32.73	2.4	1.9
T5-CSG-DS(beam) 2026.04		20.3	6.77	14.33	26.2	31.3	29.1	0.2
T5(base) 2026.04		18.9	6.3	13.77	23.23	26.66	23.3	12.8
GPT-3-CSG-DS(clustering) 2026.04		10.8	3.6	5.2	13.33	15.73	0.3	0
T5-CSG-DS(clustering) 2026.04		10.5	3.5	6.3	14.35	17.95	22.3	0