collaborators

5 papers

cs.CL2026

Reflections and New Directions for Human-Centered Large Language Models

Caleb Ziems, Dora Zhao, Rose E. Wang +55

Large Language Models (LLMs) are increasingly shaping the private and professional lives of users, with numerous applications in business, education, finance, healthcare, law, and…

cs.CL2026

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

Weiyue Li, Ruizhi Qian, Yi Li +5

Large language models (LLMs) are widely explored for reasoning-intensive research tasks, yet resources for testing whether they can infer scientific conclusions from structured bio…

cs.AI2026

Entropy Guided Diversification and Preference Elicitation in Agentic Recommendation Systems

Dat Tran, Yongce Li, Hannah Clay +3

Users on e-commerce platforms can be uncertain about their preferences early in their search. Queries to recommendation systems are frequently ambiguous, incomplete, or weakly spec…

cs.CL2026

LLM Review: Enhancing Creative Writing via Blind Peer Review Feedback

Weiyue Li, Mingxiao Song, Zhenda Shen +6

Large Language Models (LLMs) often struggle with creative generation, and multi-agent frameworks that improve reasoning through interaction can paradoxically hinder creativity by i…

cs.CL2025

Effective Skill Unlearning through Intervention and Abstention

Yongce Li, Chung-En Sun, Tsui-Wei Weng

Large language Models (LLMs) have demonstrated remarkable skills across various domains. Understanding the mechanisms behind their abilities and implementing controls over them is…