Author

Shaowu Pan

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Preprint Oct 2026

Reward Engine: Reward-Centric Self-Evolution for Open-Ended Tool Agents

Open-ended tool agents can complete the same objective through different tool paths, and their quality depends jointly on the interaction trace, environment state, and final artifacts, so such tasks rarely admit an executable ground-truth reward. The central challenge is therefore to construct a reward from existing ex...

Linda Feng, Ji Qi, Yi-Ran Cheng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TokenCast: Forecasting Token Consumption During LLM Agent Execution

TokenCast is proposed, which learns a composable cost representation for each execution segment, recording its own consumption and the context growth it introduces, and captures the extra input cost incurred when context from earlier segments is re-read by every later call.

Chao-Qian Ouyang, Ling Yue, Li-Bin Zheng et al. · 0 citations

Preprint Aug 2026

Position: AI Agents in Scientific Teams Should Be Studied as Human-Agent Systems

This work argues that studying AI Scientists as human-agent systems (HAS) is both underexplored and undervalued, and calls for new research that adopts the HAS lens to develop mathematical frameworks for understanding and fostering human-AI synergy in scientific discovery.

P. Emami, Sameera Horawalavithana, T. Nguyễn et al. · 0 citations