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20242026
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cs.CL2025

BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generation

Fuyi Yang, Chenchen Ye, Mingyu Derek Ma +3

Hypothesis generation in biomedical research has traditionally centered on uncovering hidden relationships within vast scientific literature, often using methods like Literature-Ba…

cs.CL2025

Entropy-Based Adaptive Weighting for Self-Training

Xiaoxuan Wang, Yihe Deng, Mingyu Derek Ma +1

The mathematical problem-solving capabilities of large language models have become a focal point of research, with growing interests in leveraging self-generated reasoning paths as…

cs.CL2025

Inferring from Logits: Exploring Best Practices for Decoding-Free Generative Candidate Selection

Mingyu Derek Ma, Yanna Ding, Zijie Huang +3

Generative Language Models rely on autoregressive decoding to produce the output sequence token by token. Many tasks such as preference optimization, require the model to produce t…

cs.CL2025

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao +4

Clinical diagnosis prediction models, when provided with a patient's medical history, aim to detect potential diseases early, facilitating timely intervention and improving prognos…

cs.CL2024

CLIMB: A Benchmark of Clinical Bias in Large Language Models

Yubo Zhang, Shudi Hou, Mingyu Derek Ma +3

Large language models (LLMs) are increasingly applied to clinical decision-making. However, their potential to exhibit bias poses significant risks to clinical equity. Currently, t…

cs.CL2024

Decoding Susceptibility: Modeling Misbelief to Misinformation Through a Computational Approach

Yanchen Liu, Mingyu Derek Ma, Wenna Qin +5

Susceptibility to misinformation describes the degree of belief in unverifiable claims, a latent aspect of individuals' mental processes that is not observable. Existing susceptibi…