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Yi-Dan Shi

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#artificial intelligence Preprint Sep 2026

ACLArena: Agent Continue Learning in Multi-stage Post-training

This work introduces ACLArena, a framework for comprehensively studying, analyzing, and evaluating Agent Continual Learning, and proposes a new ACL recipe that combines offline replay over high-quality trajectories with a routed network of multiple LoRA experts each specialized via RL, substantially improving the agent...

Hai-Xin Wang, Xiao-Xuan Wang, Junkai Zhang et al. · 0 citations
Jul 2026

RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning

RetroAgent is introduced, an LLM agent that bridges symbolic search and neural reasoning through a harness with structured memory, enabling informed decisions grounded in both global progress and domain knowledge in multi-step retrosynthesis planning.

Yanqiao Zhu, Jingru Gan, Xiaoqi Sun et al. · 1 citation

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