2 papers
cs.CL2025
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng, Ben Zhou, Weidong Lin +1
Predictive models often need to work with incomplete information in real-world tasks. Consequently, they must provide reliable probability or confidence estimation, especially in l…
cs.AI2024
ReasonAgain: Using Extractable Symbolic Programs to Evaluate Mathematical Reasoning
Xiaodong Yu, Ben Zhou, Hao Cheng +1
Existing math datasets evaluate the reasoning abilities of large language models (LLMs) by either using the final answer or the intermediate reasoning steps derived from static exa…