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Ying Wen

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#natural language process... Preprint Oct 2026

Harness Annealing: Learning to Act with Less External Control

Language agents rely on external harnesses to track state, organize workflows, and verify answers. Beyond providing tools and information, these harnesses supply control decisions about what to investigate, whether to revise, and when to stop. Training on successful harness-supported trajectories can improve task perfo...

Yingxuan Yang, Hua-Can Chai, Ying Wen · 0 citations
Preprint Sep 2026

TRACE: Governing Memory Validity in Evolving Multi-Agent Systems

TRACE is presented, a training-free layer that treats re-entry as an eligibility decision rather than a storage or retrieval operation, reconciling a departure checkpoint against absence-period updates, resolving explicit and implicit invalidation, and releasing a bounded Return View only when it covers the returning r...

Wen-Jun Xiong, Shengtao Zhang, Shangding Gu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

MCPGen: Benchmarking LLMs on Executable MCPWorkflow Development

MCPGen is introduced, an executable benchmark for Model Context Protocol (MCP) workflow development that evaluates three diagnostic tasks: workflow reconstruction, tool creation, and backward-compatible workflow extension and evaluates 11 representative LLMs in a single-turn foundation-model setting.

Yingxuan Yang, Jia-Qi Liu, Li-Rui Guan et al. · 0 citations

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