Your Benchmark Is Not Saturated: Reviving Multiple-Choice Evaluation with Answer Pooling

arXiv:2609.37494 · cs.CL, cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/AbobakerAhmed/AnswerPool

Terminology

• Benchmark — 59× in this paper · explained in 2 episodes
• Accuracy — 46× in this paper · explained in 1 episode
• Abstention — 19× in this paper · explained in 1 episode
• Decode — 3× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• King Abdullah University of Science and Technology — 1× in this paper

Sources

• Answer Matching Outperforms Multiple Choice for Language Model Evaluation
• GPQA: A Graduate-Level Google-Proof Q&A Benchmark
• None of the Others: a General Technique to Distinguish Reasoning from Memorization in Multiple-Choice LLM Evaluation Benchmarks
• What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
• MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

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