Lee, Moontae

36 publications

AAAI 2025 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

ICML 2025 Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation Chang Liu, Yixin Wang, Moontae Lee

NeurIPS 2025 MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant D Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang

NeurIPS 2025 PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination Hyunseung Lim, Sooyohn Nam, Sungmin Na, Ji Yong Cho, June Yong Yang, Hyungyu Shin, Yoonjoo Lee, Juho Kim, Moontae Lee, Hwajung Hong

ICLR 2025 Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee

NeurIPS 2025 Training-Free Detection of AI-Generated Images via Cropping Robustness Sungik Choi, Hankook Lee, Moontae Lee

ICML 2024 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

AAAI 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-Trained Classifiers Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee

CVPRW 2024 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

CoLLAs 2024 Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon

NeurIPSW 2024 Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee

AAAI 2024 YTCommentQA: Video Question Answerability in Instructional Videos Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee

ICLRW 2023 Exploring Demonstration Ensembling for In-Context Learning Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

ICML 2023 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

AAAI 2023 Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee

ICMLW 2023 Hierarchical Decomposition Framework for Feasibility-Hard Combinatorial Optimization 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

ICMLW 2023 Mixed-Curvature Transformers for Graph Representation Learning Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee

ICLRW 2023 Multimodal Subtask Graph Generation from Instructional Videos Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee

ICML 2023 Neural Stochastic Differential Games for Time-Series Analysis Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee

NeurIPS 2023 Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee

NeurIPSW 2023 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

ICML 2023 QASA: Advanced Question Answering on Scientific Articles Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee

NeurIPSW 2023 Reasoning About Action Preconditions with Programs Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee

CVPR 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon

NeurIPS 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee

NeurIPS 2022 CEDe: A Collection of Expert-Curated Datasets with Atom-Level Entity Annotations for Optical Chemical Structure Recognition Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee

ICML 2022 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

NeurIPS 2022 Pure Transformers Are Powerful Graph Learners Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

NeurIPSW 2022 ReSPack: A Large-Scale Rectilinear Steiner Tree Packing Data Generator and Benchmark Kanghoon Lee, Youngjoon Park, Han-Seul Jeong, Sunghoon Hong, Deunsol Yoon, Sungryull Sohn, Minu Kim, Hanbum Ko, Moontae Lee, Honglak Lee, Kyunghoon Kim, Euihyuk Kim, Seonggeon Cho, Jaesang Min, Woohyung Lim

NeurIPS 2022 Transferring Pre-Trained Multimodal Representations with Cross-Modal Similarity Matching Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee

NeurIPS 2022 Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

ICML 2021 On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel

AISTATS 2020 Prior-Aware Composition Inference for Spectral Topic Models Moontae Lee, David Bindel, David Mimno

NeurIPS 2016 Beyond Exchangeability: The Chinese Voting Process Moontae Lee, Seok Hyun Jin, David Mimno

ICLR 2016 Reasoning in Vector Space: An Exploratory Study of Question Answering Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky

NeurIPS 2015 Robust Spectral Inference for Joint Stochastic Matrix Factorization Moontae Lee, David Bindel, David Mimno