Author

Kai-Yuan Liu

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#natural language process... Preprint Sep 2026

When Agents Slow Down: Understanding LLM Agents'Test-Time Strategies via Elo-per-token Analysis

This work defines the scaling inflection point as the per-session budget where marginal Elo gains match the independent-sampling reference, and proposes Elo-per-token analysis, which tracks the best solution found at each token budget and uses a Bradley-Terry model to aggregate within-task orderings into Elo ratings ac...

Kai-Yuan Liu, Qiu-Yang Mang, Bo-Fei Peng et al. · 2 citations

Preprint Aug 2026

RecurSE: Bounded Recursive Self-Evaluation for LLM Rubric Judges

This work eliminates external gold supervision from the RL training reward: the model's own evaluative capability generates learning signals for its optimization -- a closed-loop setting of bounded recursive self-improvement (RSI) termed Recursive Self-Evaluation (RecurSE).

Kai-Yuan Liu, Ziyuan Zhuang, Rong-Xiang Weng et al. · 0 citations