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cs.AI2026
PARM: Pipeline-Adapted Reward Model
Xingyu Fan, Wei Shao, Jiacheng Liu +2
Reward models (RMs) are central to aligning large language models (LLMs) with human preferences, powering RLHF and advanced decoding strategies. While most prior work focuses on si…
cs.AI2026
Boosting In-Silicon Directed Evolution with Fine-Tuned Protein Language Model and Tree Search
Yaodong Yang, Yang Wang, Jinpeng Li +4
Protein evolution through amino acid mutations is a cornerstone of life sciences. Recent advances in protein language models have shown rich evolutionary patterns, offering unprece…
cs.AI2025
Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
Kai Zhuang, Jiawei Zhang, Yumou Liu +10
Scientific Large Language Models (Sci-LLMs) have emerged as a promising frontier for accelerating biological discovery. However, these models face a fundamental challenge when proc…