3 papers
cs.AI2026
Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents
Aijing Gao, Yiming Kang, Mengdie Flora Wang +1
In hierarchical reasoning, failures often originate at intermediate decision points where the agent commits to a wrong branch without recognizing that it lacks critical information…
cs.AI2026
From Debate to Decision: Conformal Social Choice for Safe Multi-Agent Deliberation
Mengdie Flora Wang, Haochen Xie, Guanghui Wang +9
Multi-agent debate improves LLM reasoning, yet agreement among agents is not evidence of correctness. When agents converge on a wrong answer through social reinforcement, consensus…
cs.CL2024
Automated Clinical Data Extraction with Knowledge Conditioned LLMs
Diya Li, Asim Kadav, Aijing Gao +2
The extraction of lung lesion information from clinical and medical imaging reports is crucial for research on and clinical care of lung-related diseases. Large language models (LL…