Author

Jia-Wei Wang

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#artificial intelligence Preprint Oct 2026

TSRL: Trigger-based Supervised Reinforcement Learning for Continual Agent Training

Large language model (LLM) agents excel at complex, multi-step tasks but suffer from catastrophic forgetting during continual learning--acquiring new skills often degrades previously mastered capabilities. Existing post-training paradigms face a fundamental trade-off: Supervised Fine-Tuning (SFT) is sample-efficient bu...

Yu-Qian Fu, Kai-Wen Jiang, Zi-Jun Song et al. · 0 citations

#artificial intelligence Preprint Sep 2026

TAEC: Trajectory-Aware Evidence Coordination for Multi-Step Visual RAG

Trajectory-Aware Evidence Coordination (TAEC), a training-free framework that coordinates evidence use around unresolved answer requirements, achieves the best overall performance against leading training-free visual RAG baselines, with the highest average accuracy across multiple proprietary vision-language models.

Ya-Lun Wu, Bing-Zhou Wang, Bo-Yang Wang et al. · 0 citations