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Distractor Generation on ARC Challenge

21.08P@1GPT-3(few-shot-random)
4.7528.99113.2317.469Apr 19, 2026

Evaluation results

MethodLinks
GPT-3(few-shot-random)Approach=Prompting2026.0421.087.0714.9624.8227.750.260.17
GPT-3(few-shot-k-NN)Approach=Prompting2026.0420.486.8715.0524.0626.80.170.09
GPT-3(few-shot-COT-random)Approach=Prompting2026.0420.316.8115.2924.2327.230.340.09
GPT-3(few-shot-COT-k-NN)Approach=Prompting2026.0419.886.6714.623.2525.730.170.09
GPT-3(zero-shot)Approach=Prompting2026.0417.415.8511.9620.3122.530.090.09
TinyLlamaApproach=Instruction Tuning2026.0412.374.158.615.1517.551.371.11
T5(contrast)Approach=Text2Text2026.049.133.095.4711.2613.069.643.07
GPT-3-CSG-DS(clustering)Approach=CSG-DS2026.048.72.92410.7512.6800
T5-CSG-DS(beam)Approach=CSG-DS2026.047.852.676.511.4614.7131.830.26
T5(base)Approach=Text2Text2026.047.172.453.688.7910.1419.22.9
T5-CSG-DS(clustering)Approach=CSG-DS2026.045.461.862.237.359.1812.970
T5(multi-task)Approach=Text2Text2026.045.381.853.637.218.8118.432.39