Author

Han-Chen Li

3 papers indexed here

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#artificial intelligence May 2026

TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic Agentic LLM Routing

TwinRouterBench is introduced, a step-level routing benchmark with two tracks that supports fast offline iteration followed by end-to-end validation under live agent execution, and success is measured by official task resolution and realized API spend.

Pei Yang, Wan-Yi Chen, Tong Yang et al. · arXiv.org · 6 citations

#artificial intelligence Apr 2026

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

Combee is proposed, a novel framework to scale parallel prompt learning for self-improving agents that speeds up learning and enables running many agents in parallel while learning from their aggregate traces without quality degradation.

Han-Chen Li, Run-Yuan He, Qizheng Zhang et al. · arXiv.org · 9 citations

#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. · 3 citations