Author

Yulong Tao

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Preprint Aug 2026

Beyond Solution-Centric Search: Adaptive Inquiry and Knowledge Revision for Autonomous ML Engineering

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

Jul 2026

SKILL-KD: Contrastive Skill Distillation for LLM Agents

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

Jul 2026

MerchantBench: Benchmarking LLM Agents for Long-Term Coherence in E-Commerce Operations

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