3 papers
cs.AI2026
Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning
Xuan Yang, Furong Jia, Roy Xie +4
Current Large Language Model reasoning systems process queries independently, discarding valuable cross-instance signals such as shared reasoning patterns and consistency constrain…
cs.CL2026
What Patients Really Ask: Exploring the Effect of False Assumptions in Patient Information Seeking
Raymond Xiong, Furong Jia, Lionel Wong +1
Patients are increasingly using large language models (LLMs) to seek answers to their healthcare-related questions. However, benchmarking efforts in LLMs for question answering oft…
cs.CL2025
Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM
Furong Jia, Yuan Pu, Finn Guo +1
Large language models (LLMs) excel on multiple-choice clinical diagnosis benchmarks, yet it is unclear how much of this performance reflects underlying probabilistic reasoning. We…