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Beyond Uncertainty Reduction: Calibrated Planning for Interactive Diagnosis
Yue Zhou, Haiyang Zhou, Jin Zhang +6
Interactive medical diagnosis requires an agent to gather patient evidence through sequential questions before committing to a diagnosis. Large language models (LLMs) now make such…
Risk-Aware Reranking for Agentic Tool Retrieval
Qinfei Li, Xiaoxuan Dong, Jin Zhang +6
Tool retrieval determines which external tools are exposed to an LLM agent for a user query or task, making retrieval a critical pre-execution safety boundary. Unlike document retr…
BulkPR-Bench: Benchmarking Queue-Level Governance of Interacting Pull Requests
Zetong Xiong, Qiao Zhao, Jun Zhang +20
Coding-agent benchmarks increasingly cover long-horizon, end-to-end, and interactive development, but typically retain one requested outcome or a fixed change sequence. Sequential…
SkillAudit: From Fixed-Suite Benchmarking to Skill-Centered Assessment
Dexu Yu, Youhua Li, Zhaoyang Guan +12
Agent skills have become a practical way to extend large language model agents, but the growing skill ecosystem still lacks a reliable way to judge whether a skill is worth deployi…
SWE-Future: Forecast-Conditioned Data Synthesis for Future-Oriented Software Engineering Agents
Qiao Zhao, JianYing Qu, Jun Zhang +3
Realistic coding-agent benchmarks often replay public GitHub issues and pull requests, making them vulnerable to overlap with model pretraining, fine-tuning, synthetic-data generat…