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Distractor Generation on ARC Easy

24.24P@1GPT-3(few-shot-k-NN)
7.298411.696716.09520.4933Apr 19, 2026

Evaluation results

MethodLinks
GPT-3(few-shot-k-NN)Approach=Prompting2026.0424.248.118.129.0832.8200.17
GPT-3(few-shot-COT-random)Approach=Prompting2026.0423.77.9217.7728.6732.4400
GPT-3(few-shot-COT-k-NN)Approach=Prompting2026.0423.77.9217.9528.3631.7400
GPT-3(few-shot-random)Approach=Prompting2026.0423.197.7517.7428.3732.4100.04
GPT-3(zero-shot)Approach=Prompting2026.0420.756.9415.2825.5529.3200
TinyLlamaApproach=Instruction Tuning2026.0415.035.0312.7319.7623.661.981.05
T5(contrast)Approach=Text2Text2026.0413.854.6410.3917.5320.456.693.41
T5-CSG-DS(beam)Approach=CSG-DS2026.0412.754.289.5616.8820.4533.630.63
T5(base)Approach=Text2Text2026.0411.243.777.3814.0516.313.977.7
T5(multi-task)Approach=Text2Text2026.0410.063.386.9712.7314.913.515.77
GPT-3-CSG-DS(clustering)Approach=CSG-DS2026.049.813.285.5513.0616.080.080
T5-CSG-DS(clustering)Approach=CSG-DS2026.047.952.684.510.6713.1616.160