Author

Yixin Cao

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#artificial intelligence Preprint Sep 2026

Environments as Scaffold: Enriching Feedback to Bootstrap Self-Evolving Agents in Long-Horizon Tasks

Large Language Models demonstrate remarkable proficiency in static reasoning, yet training them as autonomous agents through Reinforcement Learning (RL) for long-horizon tasks is often hindered by severe reward sparsity. While conventional \textit{agent-side warming} up via supervised fine-tuning (SFT) can alleviate th...

Hongbang Yuan, Zhuo-Ran Jin, Yi-Xin Cao · 0 citations

#natural language process... Preprint Sep 2026

From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

Results support a qualified internalized-search reading: under the recipe the authors test, much of the measured RL gain corresponds to a change in sampling efficiency toward operating points the base model can already reach under search.

Wen-He Sun, Cun-Xiang Wang, Zi-Jun Yao et al. · 0 citations

Jul 2026

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders

ICAE-Bench, a benchmark for evaluating coding agents under interactive project-building settings, starts from a fuzzy product requirement, simulating the dynamic paradigm with an automated User Agent, and introduces three key designs.

Zhongyuan Peng, Dan Huang, Chuyu Zhang et al. · arXiv.org · 3 citations · ⚡1