Bin-Bin Yang

Bin-Bin Yang has 2 papers in our library, in 2026, most of them on Reasoning; often with ChenZhuo Zhao, Feng Xiao, Jialin Liu.

2 papers in our library · 2026

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EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance Generation (2026 · 1 citation)
LLM judges remain weak at assessing stories. Prompting closed models is brittle, and fine-tuned open evaluators usually output scores without explicit reasoning. The authors propose EvolvR, a framework that teaches an open-source evaluator to reason over pairs of stories. The model works aspect by aspect, for example…
Triviality Corrected Endogenous Reward (2026)
Reinforcement fine-tuning for open-ended writing lacks verifiable rewards. It usually depends on costly proprietary LLM judges or on judge models trained with annotated preference data. The authors ask whether confidence-based endogenous rewards, which work for unsupervised RL in math, can serve writing instead. They…

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Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026