Moontae Lee
- Papers
- 13
Cite
Notes
Only stored in your browser.
Authored papers
13Process Reward Models That Think
arXiv 2025
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
arXiv 2025
DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report Generation
arXiv 2025
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
arXiv 2024
SPRIG: Improving Large Language Model Performance by System Prompt Optimization
arXiv 2024
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation
arXiv 2024
YTCommentQA: Video Question Answerability in Instructional Videos
arXiv 2024
Small Language Models Need Strong Verifiers to Self-Correct Reasoning
arXiv 2024
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
arXiv 2023
GRACE: Discriminator-Guided Chain-of-Thought Reasoning
arXiv 2023
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning
arXiv 2023
Pure Transformers are Powerful Graph Learners
arXiv 2022
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
arXiv 2022
Affiliations
Frequent co-authors
10from 13 papers