most citedLarge Language Models for Bioinformatics

4 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

stat.ML2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

Jiazhang Cai, Tao Wang, Ruidong Zhang +35

Complex problem solving (CPS) with large language models (LLMs) is often framed as a matter of stronger reasoning or longer generation. Yet early-step error amplification, prompt b…

stat.ME2026

Wahkon: A Statistically Principled Deep RKHS Superposition Network

Yongkai Chen, Wenxuan Zhong, Ping Ma

Deep learning excels at prediction but often lacks finite-sample guarantees and calibrated uncertainty; RKHS (Reproducing Kernel Hilbert Space)-based methods provide those guarante…

stat.CO2026

Quantum Statistical Bootstrap

Yongkai Chen, Ping Ma, Wenxuan Zhong

The bootstrap is a foundational tool in statistical inference, but its classical implementation relies on Monte Carlo resampling, introducing approximation error and incurring high…

cs.LG2026

A Single Revision Step Improves Token-Efficient LLM Reasoning

Yingchuan Zhang, Terry Ma, Wenxuan Zhong +1

Large language models (LLMs) achieve higher accuracy on challenging reasoning tasks by scaling test-time compute through multiple trajectory sampling. However, standard aggregation…

cs.CV2025

DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging

Huimin Cheng, Xiaowei Yu, Shushan Wu +7

Medical images exhibit latent anatomical groupings, such as organs, tissues, and pathological regions, that standard Vision Transformers (ViTs) fail to exploit. While recent work l…

cs.AI2025★ 2 cited

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges

Haoran Lu, Luyang Fang, Ruidong Zhang +47

Due to the remarkable capabilities and growing impact of large language models (LLMs), they have been deeply integrated into many aspects of society. Thus, ensuring their alignment…

eess.IV2025

S2MNet: Speckle-To-Mesh Net for Three-Dimensional Cardiac Morphology Reconstruction via Echocardiogram

Xilin Gong, Yongkai Chen, Shushan Wu +3

Echocardiogram is the most commonly used imaging modality in cardiac assessment duo to its non-invasive nature, real-time capability, and cost-effectiveness. Despite its advantages…

q-bio.QM2025★ 4 cited

Large Language Models for Bioinformatics

Wei Ruan, Yanjun Lyu, Jing Zhang +52

With the rapid advancements in large language model (LLM) technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehens…