Papers by Yifei Shao

2 papers
Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models (2026.acl-long)

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Challenge: closed-ended question-based benchmarks struggle with saturation as newer models emerge . crowd-sourced leaderboards rely on costly and slow human judges .
Approach: They propose a framework that leverages collective intelligence from all large language models to evaluate each other.
Outcome: a new framework enables a democratic, pairwise evaluation of all large language models . it achieves 97% correlation with human judgements, while significantly reducing the cost.
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations (2024.acl-long)

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Challenge: Existing methods for process-oriented math reward models rely on manual annotation.
Approach: They propose a process-oriented math process reward model called Math-shepherd which assigns a reward score to each step of math problem solutions.
Outcome: The proposed model breaks the bottleneck of manual supervision in two scenarios.

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