PhD student, Arizona State University
3 papers at NeurIPS 2025
We present an efficient judgmetn distribution estimation method for LLM ensembles.
We propose a new benchmark IndustryEQA using IsaacSim simulator for embodied question answering in industry scenario.
This paper utilizes multi-agent debate process for llm-as-judge, and employs an adaptive stopping mechanism.