most citedAdaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models

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

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cs.AI2026

TIGER: Text-Informed Generalized Enzyme-Reaction Retrieval

Yuhang Zhang, Keyan Ding, Peilin Chen +5

Enzyme-reaction retrieval is a fundamental problem in computational biology, underpinning enzyme characterization, reaction mechanism elucidation, and the rational design of metabo…

cs.AI2026

Position: Let's Develop Data Probes to Fundamentally Understand How Data Affects LLM Performance

Shiqiang Wang, Herbert Woisetschläger, Hans Arno Jacobsen +1

Data is fundamental to large language models (LLMs). However, understanding of what makes certain data useful for different stages of an LLM workflow, including training, tuning, a…