Moontae Lee
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
47
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
47 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode. | Hojae Han, Jaejin Kim, Seung-won Hwang, Yu Jin Kim, Moontae Lee |
| 2026 | ACL | Adaptive Retrieval for Reasoning. | Jongho Kim, Jaeyoung Kim, Jihyuk Kim, Yu Jin Kim, Seung-won Hwang, Moontae Lee |
| 2026 | ACL | Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking. | Taehyeon Kim, Hyunsoo Lee, Youngsoo Jang, Moontae Lee |
| 2026 | EACL | IRPO: Implicit Policy Regularized Preference Optimization. | Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee |
| 2025 | AAAI | 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. | Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee |
| 2025 | ACL | One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL. | Hyungjoo Chae, Dongjin Kang, Jihyuk Kim, Beong-woo Kwak, Sunghyun Park, Haeju Park, Jinyoung Yeo, Moontae Lee, Kyungjae Lee |
| 2025 | ACL | Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code. | Geonmo Gu, Jaeho Kwak, Haksoo Moon, Hyun Seung Shim, Yu Jin Kim, Byoungjip Kim, Moontae Lee, Hyejeong Jeon |
| 2025 | ACL | Shifting from Ranking to Set Selection for Retrieval Augmented Generation. | Dahyun Lee, Yongrae Jo, Haeju Park, Moontae Lee |
| 2025 | EMNLP | Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? | Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea |
| 2025 | EMNLP | Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews. | Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim |
| 2025 | ICLR | Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee |
| 2025 | ICML | Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation. | Chang Liu, Yixin Wang, Moontae Lee |
| 2025 | ICORES | Hierarchical Decomposition Framework for Steiner Tree Packing Problem. | Hanbum Ko, Minu Kim, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Youngjoon Park, Woohyung Lim, Honglak Lee, Moontae Lee, Kanghoon Lee, Sungbin Lim, Sungryull Sohn |
| 2025 | NAACL | Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation. | Takyoung Kim, Kyungjae Lee, Young Rok Jang, Ji Yong Cho, Gangwoo Kim, Minseok Cho, Moontae Lee |
| 2025 | NAACL | The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. | Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2024 | AAAI | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee |
| 2024 | AAAI | YTCommentQA: Video Question Answerability in Instructional Videos. | Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee |
| 2024 | ACL | Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. | Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo |
| 2024 | ACL | Small Language Models Need Strong Verifiers to Self-Correct Reasoning. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang |
| 2024 | CVPR | Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning. | Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee |
| 2024 | EMNLP | Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking. | Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2024 | EMNLP | Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models. | Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2024 | EMNLP | When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models. | Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee, David Jurgens |
| 2024 | ICML | Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration. | Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee |
| 2024 | NAACL | Code Models are Zero-shot Precondition Reasoners. | Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee |
| 2024 | NAACL | Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. | Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea |
| 2024 | NAACL | You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments. | Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens |
| 2023 | AAAI | Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters. | Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee |
| 2023 | ACL | Knowledge Unlearning for Mitigating Privacy Risks in Language Models. | Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo |
| 2023 | ACL | Few-shot Reranking for Multi-hop QA via Language Model Prompting. | Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | ACL | When to Read Documents or QA History: On Unified and Selective Open-domain QA. | Kyungjae Lee, Sang-eun Han, Seung-won Hwang, Moontae Lee |
| 2023 | ACL | Unsupervised Task Graph Generation from Instructional Video Transcripts. | Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee |
| 2023 | CVPR | Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning. | Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon |
| 2023 | EMNLP | On Sample-Efficient Code Generation. | Hojae Han, Yu Jin Kim, Byoungjip Kim, Youngwon Lee, Kyungjae Lee, Kyungmin Lee, Moontae Lee, Kyunghoon Bae, Seung-won Hwang |
| 2023 | EMNLP | GRACE: Discriminator-Guided Chain-of-Thought Reasoning. | Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | EMNLP | Merging Generated and Retrieved Knowledge for Open-Domain QA. | Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang |
| 2023 | EMNLP | From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning. | Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai |
| 2023 | ICML | Exploring the Benefits of Training Expert Language Models over Instruction Tuning. | Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo |
| 2023 | ICML | QASA: Advanced Question Answering on Scientific Articles. | Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee |
| 2023 | ICML | Neural Stochastic Differential Games for Time-series Analysis. | Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee |
| 2022 | ICML | Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules. | Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung |
| 2022 | NAACL | Few-shot Subgoal Planning with Language Models. | Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee |
| 2021 | ICML | On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. | Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel |
| 2020 | AISTATS | Prior-aware Composition Inference for Spectral Topic Models. | Moontae Lee, David Bindel, David Mimno |
| 2019 | EMNLP | Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. | Moontae Lee, Sungjun Cho, David Bindel, David Mimno |
| 2014 | EMNLP | Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference. | David M. Mimno, Moontae Lee |
| 2012 | HCOMP | Automatically Providing Action Plans Helps People Complete Tasks. | Nicolas Kokkalis, Johannes Huebner, Steven Diamond, Dominic Becker, Michael Chang, Moontae Lee, Florian Schulze, Thomas Khn, Scott R. Klemmer |