2 citations · 2 across the 4 of their papers we have counts for
5 papers
EliteReplay: Preserving Diverse Solutions in RL Post-Training via Quality-Diversity Search
Hanane Nour Moussa, Doeun Lee, Sachin Kumar
Reinforcement learning has become a common post-training technique to improve the accuracy of LLMs on verifiable tasks. However, such training can narrow the set of solutions the m…
Process-Oriented Evaluation of AI-Assisted Scientific Writing
Patrick Queiroz Da Silva, Sanchaita Hazra, Doeun Lee +2
Bad writing hinders the publication of science. The role of artificial intelligence (AI) in generating and editing scientific texts remains unsettled. Abstracts serve as the critic…
Accepted with Minor Revisions: Value of AI-Assisted Scientific Writing
Sanchaita Hazra, Doeun Lee, Bodhisattwa Prasad Majumder +1
Large Language Models have seen expanding application across domains, yet their effectiveness as assistive tools for scientific writing - an endeavor requiring precision, multimoda…
ScholarEval: Research Idea Evaluation Grounded in Literature
Hanane Nour Moussa, Patrick Queiroz Da Silva, Daniel Adu-Ampratwum +7
As AI tools become increasingly common for research ideation, robust evaluation is critical to ensure the validity and usefulness of generated ideas. We introduce ScholarEval, a re…
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Zhouhang Xie, Junda Wu, Yiran Shen +9
Personalized preference alignment for large language models (LLMs), the process of tailoring LLMs to individual users' preferences, is an emerging research direction spanning the a…