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20242026
most citedPepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning

3 citations · 3 across the 5 of their papers we have counts for

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cs.LG2025

PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage

Trieu Nguyen, Hao-Wei Pang, Shasha Feng

Macrocyclic peptides are an emerging modality that combines biologics-like affinity with small-molecule-like developability, but their vast combinatorial space and multi-parameter…

cs.LG2025★ 3 cited

PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning

Ruheng Wang, Hang Zhang, Trieu Nguyen +5

Designing therapeutic peptides with tailored properties is hindered by the vastness of sequence space, limited experimental data, and poor interpretability of current generative mo…

cs.CL2025

Kongzi: A Historical Large Language Model with Fact Enhancement

Jiashu Yang, Ningning Wang, Yian Zhao +6

Large Language Models (LLMs) can exhibit factual inaccuracies during long-chain reasoning or under misleading prompts, limiting their reliability in historical analysis. We propose…