Long-horizon autonomous research tasks such as machine learning engineering require systems to make interdependent decisions under a limited budget. Existing LLM-based agents typically organize candidate-solution improvement through tree, graph, or chain structures, meaning that the search process determines how inform...
Shaokang Fu, Yulong Tao, Linbo Jin et al.· 1 citation
SKILL-KD is proposed, a contrastive skill distillation framework that treats skills as an explicit distillation medium between agents of different capabilities and consistently improves frozen student agents over fixed-model adaptation baselines.
Qi-Ming Shi, Yibo Dou, J. Zhu et al.· arXiv.org· 0 citations
Large language model agents are increasingly evaluated as autonomous tool users, yet most benchmarks focus on bounded tasks with immediate success criteria. Real-world deployments often require Long-Term Coherence, the capacity to preserve purposeful behavior across extended horizons while adapting decisions to accumul...
Qi-Ming Shi, Yulong Tao, Linbo Jin et al.· arXiv.org· 2 citations
BIRD-History is introduced, a benchmark consisting of 1,393 tasks across 11 databases, designed to evaluate text-to-SQL systems'ability to ground underspecified natural language questions using historical SQL scripts, and a plug-in retriever that extracts five types of external knowledge from historical SQL scripts, th...
Yun-Fan Zhou, Qi-Ming Shi, Yi-Zhou Yang et al.· 0 citations
SCEval (Structure-Corruption Evaluation) a diagnostic evaluation protocol that keeps the question, answer space, and modality channels fixed while applying controlled structural corruptions to text, vision, and audio individually and jointly is introduced.
Zhaolu Kang, Mei-Xin Wu, Yu Xue et al.· 1 citation
This work proposes BCSD (Bidirectional Context Self-Distillation), a framework that combines self-distillation with reinforcement learning to train LLM agents to use external skills more effectively, enabling agents to utilize external skills more effectively.
Tian Pan, Yuan Li, Hong-Da Wang et al.· 1 citation
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