collaborators

5 papers

cs.AI2026

Budgeted Act-or-Defer Multi-Agent LLM Deliberation with Local Reliability Bounds

Mengdie Flora Wang, Haochen Xie, Guanghui Wang +2

Multi-agent deliberation among LLMs can improve reasoning, but deployment requires deciding when the current answer is reliable enough to act on and when it should be escalated to…

cs.AI2026

Quantifying Consistency in LLM Logical Reasoning via Structural Uncertainty

Baishali Chaudhury, Mengdie Flora Wang, Hyunji Hayley Park +3

Large language models can arrive at the same answer through reasoning paths that are unstable, contradictory, or difficult to rank consistently -- a failure mode especially prevale…

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 is not evidence of correctness. When agents converge on a wrong answer through social reinforcement, consensus stopping com…

math.PR2017

On the Steady State of Continuous Time Stochastic Opinion Dynamics with Power Law Confidence

Jae Oh Woo, François Baccelli, Sriram Vishwanath

This paper introduces a class of non-linear and continuous-time opinion dynamics model with additive noise and state dependent interaction rates between agents. The model features…