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cs.AI2026
Intent-Driven Situation Tracking for User-Centric Multi-Turn Agents
Meiling Tao, Yiling Tao, Peng Wang
User-centric multi-turn agents must act on an evolving task situation shaped by changing user intents, accumulated tool-grounded facts, missing information, and execution constrain…
cs.CL2026
When Search Agents Should Ask: DiscoBench for Clarification-Aware Deep Search
Yiling Tao, Shihan Deng, Meiling Tao +3
Search agents powered by large language models (LLMs) are increasingly used to solve complex information-seeking tasks, requiring multi-step retrieval and reasoning to fulfill user…
cs.AI2026
GroupGuard: A Framework for Modeling and Defending Collusive Attacks in Multi-Agent Systems
Yiling Tao, Xinran Zheng, Shuo Yang +2
While large language model-based agents demonstrate great potential in collaborative tasks, their interactivity also introduces security vulnerabilities. In this paper, we propose…