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Yi-Shu Wang

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#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
Jul 2026

DREvo: Distilling Recalibrated Historical Experience for Harness Self-Evolution

A new harness self-evolution method, named DREvo, is proposed, which integrates function-level evidence anchoring, state-dependent evidence recalibration, and role-conditioned search intent distillation to determine which historical evidence remains valid and where the harness should evolve next.

Hanghui Guo, Wei-Jie Shi, Zhangze Chen et al. · 4 citations

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