1.2k citations · 1.3k across the 31 of their papers we have counts for
Showing 2026 · cs.CLShow all
3 papers · 2 filters
cs.CL2026
PersonaFactor: Preference Factors with Dynamic Selection for LLM Personalization
Hang Su, Zequn Liu, Jianghan Chao +3
Although users may express different personalization needs across tasks, these task-specific behaviors can reflect shared underlying preference mechanisms. Existing LLM personaliza…
cs.CL2026
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
Yiyang Gu, Junwei Yang, Junyu Luo +15
Large language models (LLMs) are increasingly applied to scientific research, yet existing evaluations often fail to reflect the fine-grained capabilities required in practice. Mos…
cs.CL2026
CoPA: Benchmarking Personalized Question Answering with Data-Informed Cognitive Factors
Hang Su, Zequn Liu, Chen Hu +3
While LLMs have demonstrated remarkable potential in Question Answering (QA), evaluating personalization remains a critical bottleneck. Existing paradigms predominantly rely on lex…