Moontae Lee

124 papers A* 26A 2C 1Journal 64Unranked 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Retrieval for Reasoning-Intensive Retrieval.
CoRR
Jongho Kim, Jaeyoung Kim, Seung-won Hwang, Jihyuk Kim, Yu Jin Kim, Moontae Lee
2026 J jnl
Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation.
CoRR
Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Yunxiang Zhang, Moontae Lee, Hao Peng, Lu Wang, Honglak Lee
2026 — conf
IRPO: Implicit Policy Regularized Preference Optimization.
EACL (Findings)
Youngsoo Jang, Yu Jin Kim, Geon-Hyeong Kim, Honglak Lee, Moontae Lee
2026 J jnl
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors.
CoRR
Seongyun Lee, Yongrae Jo, Minju Seo, Moontae Lee, Minjoon Seo
2026 J jnl
Process Reward Models That Think.
Trans. Mach. Learn. Res.
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2026 J jnl
When Is Enough Not Enough? Illusory Completion in Search Agents.
CoRR
Dayoon Ko, Jihyuk Kim, Sohyeon Kim, Haeju Park, Dahyun Lee, Gunhee Kim, Moontae Lee, Kyungjae Lee
2025 A* conf
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.
AAAI
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2025 J jnl
Automatically Evaluating the Paper Reviewing Capability of Large Language Models.
CoRR
Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim
2025 A* conf
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation.
ICML
Chang Liu, Yixin Wang, Moontae Lee
2025 J jnl
Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation.
CoRR
Chang Liu, Yixin Wang, Moontae Lee
2025 J jnl
Cross-Lingual Prompt Steerability: Towards Accurate and Robust LLM Behavior across Languages.
CoRR
Lechen Zhang, Yusheng Zhou, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2025 J jnl
DEER: A Comprehensive and Reliable Benchmark for Deep-Research Expert Reports.
CoRR
Janghoon Han, Heegyu Kim, Changho Lee, Dahm Lee, Min Hyung Park, Hosung Song, Stanley Jungkyu Choi, Moontae Lee, Honglak Lee
2025 C conf
Hierarchical Decomposition Framework for Steiner Tree Packing Problem.
ICORES
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 J jnl
Hybrid Deep Searcher: Integrating Parallel and Sequential Search Reasoning.
CoRR
Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo, Gunhee Kim, Moontae Lee, Kyungjae Lee
2025 — conf
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation.
NAACL (Findings)
Takyoung Kim, Kyungjae Lee, Young Rok Jang, Ji Yong Cho, Gangwoo Kim, Minseok Cho, Moontae Lee
2025 J jnl
MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
CoRR
Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant D. Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2025 A* conf
Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews.
EMNLP
Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim
2025 — conf
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL.
ACL (6)
Hyungjoo Chae, Dongjin Kang, Jihyuk Kim, Beong-woo Kwak, Sunghyun Park, Haeju Park, Jinyoung Yeo, Moontae Lee, Kyungjae Lee
2025 J jnl
One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL.
CoRR
Hyungjoo Chae, Dongjin Kang, Jihyuk Kim, Beong-woo Kwak, Sunghyun Park, Haeju Park, Jinyoung Yeo, Moontae Lee, Kyungjae Lee
2025 — conf
Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code.
ACL (6)
Geonmo Gu, Jaeho Kwak, Haksoo Moon, Hyun Seung Shim, Yu Jin Kim, Byoungjip Kim, Moontae Lee, Hyejeong Jeon
2025 J jnl
PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination.
CoRR
Hyunseung Lim, Sooyohn Nam, Sungmin Na, Ji Yong Cho, June Yong Yang, Hyungyu Shin, Yoonjoo Lee, Juho Kim, Moontae Lee, Hwajung Hong
2025 J jnl
Process Reward Models That Think.
CoRR
Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2025 A* conf
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
EMNLP
Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea
2025 J jnl
Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
CoRR
Siqi Shen, Mehar Singh, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Rada Mihalcea
2025 J jnl
SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety.
CoRR
Geon-Hyeong Kim, Youngsoo Jang, Yu Jin Kim, Byoungjip Kim, Honglak Lee, Kyunghoon Bae, Moontae Lee
2025 — conf
Shifting from Ranking to Set Selection for Retrieval Augmented Generation.
ACL (1)
Dahyun Lee, Yongrae Jo, Haeju Park, Moontae Lee
2025 J jnl
Shifting from Ranking to Set Selection for Retrieval Augmented Generation.
CoRR
Dahyun Lee, Yongrae Jo, Haeju Park, Moontae Lee
2025 — conf
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
NAACL (Long Papers)
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
2025 J jnl
The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think.
CoRR
Seongyun Lee, Seungone Kim, Minju Seo, Yongrae Jo, Dongyoung Go, Hyeonbin Hwang, Jinho Park, Xiang Yue, Sean Welleck, Graham Neubig, Moontae Lee, Minjoon Seo
2025 A* conf
Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs.
ICLR
Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2025 J jnl
Training-free Detection of AI-generated images via Cropping Robustness.
CoRR
Sungik Choi, Hankook Lee, Moontae Lee
2024 A conf
Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion.
Conference on Designing Interactive Systems
Hyunseung Lim, Ji Yong Cho, Taewan Kim, Jeongeon Park, Hyungyu Shin, Seulgi Choi, Sunghyun Park, Kyungjae Lee, Juho Kim, Moontae Lee, Hwajung Hong
2024 — conf
Code Models are Zero-shot Precondition Reasoners.
NAACL-HLT
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2024 A* conf
Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration.
ICML
Youngsoo Jang, Geon-Hyeong Kim, Byoungjip Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
2024 J jnl
EXAONE 3.0 7.8B Instruction Tuned Language Model.
CoRR
Soyoung An, Kyunghoon Bae, Eunbi Choi, Stanley Jungkyu Choi, Yemuk Choi, Seokhee Hong, Yeonjung Hong, Junwon Hwang, Hyojin Jeon, Gerrard Jeongwon Jo, Hyunjik Jo, Jiyeon Jung, Yountae Jung, Euisoon Kim, Hyosang Kim, Joonkee Kim, Seonghwan Kim, Soyeon Kim, Sunkyoung Kim, Yireun Kim, Youchul Kim, Edward Hwayoung Lee, Haeju Lee, Honglak Lee, Jinsik Lee, Kyungmin Lee, Moontae Lee, Seungjun Lee, Woohyung Lim, Sangha Park, Sooyoun Park, Yongmin Park, Boseong Seo, Sihoon Yang, Heuiyeen Yeen, Kyungjae Yoo, Hyeongu Yun
2024 — conf
Enhancing Fusion-in-Decoder for Multi-Granularity Ranking.
IR-RAG@SIGIR
Haeju Park, Kyungjae Lee, Sunghyun Park, Moontae Lee
2024 J jnl
HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images.
CoRR
Sungik Choi, Sungwoo Park, Jaehoon Lee, Seunghyun Kim, Stanley Jungkyu Choi, Moontae Lee
2024 — conf
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs.
ClinicalNLP@NAACL
Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
2024 J jnl
LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs.
CoRR
Yongrae Jo, Seongyun Lee, Minju Seo, Sung Ju Hwang, Moontae Lee
2024 J jnl
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation.
CoRR
Takyoung Kim, Kyungjae Lee, Young Rok Jang, Ji Yong Cho, Gangwoo Kim, Minseok Cho, Moontae Lee
2024 A* conf
Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.
AAAI
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2024 J jnl
Partial-Multivariate Model for Forecasting.
CoRR
Jaehoon Lee, Hankook Lee, Sungik Choi, Sungjun Cho, Moontae Lee
2024 J jnl
Practical and Reproducible Symbolic Music Generation by Large Language Models with Structural Embeddings.
CoRR
Seungyeon Rhyu, Kichang Yang, Sungjun Cho, Jaehyeon Kim, Kyogu Lee, Moontae Lee
2024 A* conf
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.
EMNLP
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
2024 J jnl
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.
CoRR
Seungone Kim, Juyoung Suk, Shayne Longpre, Bill Yuchen Lin, Jamin Shin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
2024 — conf
Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking.
EMNLP (Findings)
Byoungjip Kim, Youngsoo Jang, Lajanugen Logeswaran, Geon-Hyeong Kim, Yu Jin Kim, Honglak Lee, Moontae Lee
2024 J jnl
Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection.
CoRR
Kyungjae Lee, Dasol Hwang, Sunghyun Park, Youngsoo Jang, Moontae Lee
2024 J jnl
SPRIG: Improving Large Language Model Performance by System Prompt Optimization.
CoRR
Lechen Zhang, Tolga Ergen, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2024 — conf
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments.
ACL (Findings)
Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024 J jnl
Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments.
CoRR
Sangwoo Shin, Seunghyun Kim, Youngsoo Jang, Moontae Lee, Honguk Woo
2024 — conf
Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning.
CVPR Workshops
Byoungjip Kim, Dasol Hwang, Sungjun Cho, Youngsoo Jang, Honglak Lee, Moontae Lee
2024 — conf
Small Language Models Need Strong Verifiers to Self-Correct Reasoning.
ACL (Findings)
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024 J jnl
Small Language Models Need Strong Verifiers to Self-Correct Reasoning.
CoRR
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang
2024 J jnl
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.
CoRR
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 — conf
Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective.
CoLLAs
Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2024 J jnl
Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models.
CoRR
Sungmin Cha, Sungjun Cho, Dasol Hwang, Moontae Lee
2024 — conf
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense.
NAACL-HLT
Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
2024 J jnl
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense.
CoRR
Siqi Shen, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Soujanya Poria, Rada Mihalcea
2024 — conf
When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models.
EMNLP (Findings)
Mingqian Zheng, Jiaxin Pei, Lajanugen Logeswaran, Moontae Lee, David Jurgens
2024 A* conf
YTCommentQA: Video Question Answerability in Instructional Videos.
AAAI
Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee
2024 J jnl
YTCommentQA: Video Question Answerability in Instructional Videos.
CoRR
Saelyne Yang, Sunghyun Park, Yunseok Jang, Moontae Lee
2024 — conf
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.
NAACL-HLT
Bangzhao Shu, Lechen Zhang, Minje Choi, Lavinia Dunagan, Lajanugen Logeswaran, Moontae Lee, Dallas Card, David Jurgens
2023 J jnl
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.
CoRR
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2023 J jnl
Code Models are Zero-shot Precondition Reasoners.
CoRR
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2023 J jnl
Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.
CoRR
Sungjun Cho, Seunghyuk Cho, Sungwoo Park, Hankook Lee, Honglak Lee, Moontae Lee
2023 J jnl
Discriminator-Guided Multi-step Reasoning with Language Models.
CoRR
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 J jnl
Exploring Demonstration Ensembling for In-context Learning.
CoRR
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 A* conf
Exploring the Benefits of Training Expert Language Models over Instruction Tuning.
ICML
Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
2023 J jnl
Exploring the Benefits of Training Expert Language Models over Instruction Tuning.
CoRR
Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
2023 — conf
Few-shot Reranking for Multi-hop QA via Language Model Prompting.
ACL (1)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 A* conf
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.
EMNLP
Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai
2023 J jnl
From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.
CoRR
Zheyuan Zhang, Shane Storks, Fengyuan Hu, Sungryull Sohn, Moontae Lee, Honglak Lee, Joyce Chai
2023 — conf
GRACE: Discriminator-Guided Chain-of-Thought Reasoning.
EMNLP (Findings)
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 A* conf
Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.
AAAI
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2023 — conf
Knowledge Unlearning for Mitigating Privacy Risks in Language Models.
ACL (1)
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2023 J jnl
Learning to Unlearn: Instance-wise Unlearning for Pre-trained Classifiers.
CoRR
Sungmin Cha, Sungjun Cho, Dasol Hwang, Honglak Lee, Taesup Moon, Moontae Lee
2023 A* conf
Merging Generated and Retrieved Knowledge for Open-Domain QA.
EMNLP
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 J jnl
Merging Generated and Retrieved Knowledge for Open-Domain QA.
CoRR
Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2023 J jnl
Multimodal Subtask Graph Generation from Instructional Videos.
CoRR
Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee
2023 A* conf
Neural Stochastic Differential Games for Time-series Analysis.
ICML
Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee
2023 — conf
On Sample-Efficient Code Generation.
EMNLP (Industry Track)
Hojae Han, Yu Jin Kim, Byoungjip Kim, Youngwon Lee, Kyungjae Lee, Kyungmin Lee, Moontae Lee, Kyunghoon Bae, Seung-won Hwang
2023 A* conf
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.
NeurIPS
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
2023 J jnl
Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.
CoRR
Sungik Choi, Hankook Lee, Honglak Lee, Moontae Lee
2023 A* conf
QASA: Advanced Question Answering on Scientific Articles.
ICML
Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-in Lee, Moontae Lee
2023 A* conf
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning.
CVPR
Sungmin Cha, Sungjun Cho, Dasol Hwang, Sunwon Hong, Moontae Lee, Taesup Moon
2023 A* conf
SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.
NeurIPS
Youngsoo Jang, Geon-Hyeong Kim, Jongmin Lee, Sungryull Sohn, Byoungjip Kim, Honglak Lee, Moontae Lee
2023 J jnl
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching.
CoRR
Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee
2023 — conf
Unsupervised Task Graph Generation from Instructional Video Transcripts.
ACL (Findings)
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
2023 J jnl
Unsupervised Task Graph Generation from Instructional Video Transcripts.
CoRR
Lajanugen Logeswaran, Sungryull Sohn, Yunseok Jang, Moontae Lee, Honglak Lee
2023 — conf
When to Read Documents or QA History: On Unified and Selective Open-domain QA.
ACL (Findings)
Kyungjae Lee, Sang-eun Han, Seung-won Hwang, Moontae Lee
2023 J jnl
When to Read Documents or QA History: On Unified and Selective Open-domain QA.
CoRR
Kyungjae Lee, Sang-eun Han, Seung-won Hwang, Moontae Lee
2022 A* conf
CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.
NeurIPS
Rodrigo Hormazabal, Changyoung Park, Soonyoung Lee, Sehui Han, Yeonsik Jo, Jaewan Lee, Ahra Jo, Seung Hwan Kim, Jaegul Choo, Moontae Lee, Honglak Lee
2022 — conf
Few-shot Subgoal Planning with Language Models.
NAACL-HLT
Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee
2022 J jnl
Few-shot Subgoal Planning with Language Models.
CoRR
Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee
2022 J jnl
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters.
CoRR
Sung Moon Ko, Sungjun Cho, Dae-Woong Jeong, Sehui Han, Moontae Lee, Honglak Lee
2022 J jnl
Is Continual Learning Truly Learning Representations Continually?
CoRR
Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2022 J jnl
Knowledge Unlearning for Mitigating Privacy Risks in Language Models.
CoRR
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
2022 J jnl
LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.
CoRR
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang
2022 A* conf
Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.
ICML
Juhwan Noh, Dae-Woong Jeong, Kiyoung Kim, Sehui Han, Moontae Lee, Honglak Lee, Yousung Jung
2022 A* conf
Pure Transformers are Powerful Graph Learners.
NeurIPS
Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022 J jnl
Pure Transformers are Powerful Graph Learners.
CoRR
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022 — conf
Symbolic Music Loop Generation with Neural Discrete Representations.
ISMIR
Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim
2022 J jnl
Symbolic Music Loop Generation with Neural Discrete Representations.
CoRR
Sangjun Han, Hyeongrae Ihm, Moontae Lee, Woohyung Lim
2022 J jnl
Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning.
CoRR
Sungmin Cha, Soonwon Hong, Moontae Lee, Taesup Moon
2022 A* conf
Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching.
NeurIPS
Byoungjip Kim, Sungik Choi, Dasol Hwang, Moontae Lee, Honglak Lee
2022 A* conf
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.
NeurIPS
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2022 J jnl
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.
CoRR
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2021 J jnl
On-the-Fly Rectification for Robust Large-Vocabulary Topic Inference.
CoRR
Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
2021 A* conf
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference.
ICML
Moontae Lee, Sungjun Cho, Kun Dong, David Mimno, David Bindel
2020 A conf
Prior-aware Composition Inference for Spectral Topic Models.
AISTATS
Moontae Lee, David Bindel, David Mimno
2019 — conf
Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm.
EMNLP/IJCNLP (1)
Moontae Lee, Sungjun Cho, David Bindel, David Mimno
2018 — —
Joint-Stochastic Spectral Inference for Robust Co-occurence Modeling and Latent Topic Analysis.
Moontae Lee
2017 J jnl
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference.
CoRR
Moontae Lee, David M. Mimno
2017 J jnl
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models.
CoRR
Moontae Lee, David Bindel, David M. Mimno
2016 J jnl
Basic Reasoning with Tensor Product Representations.
CoRR
Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng
2016 — conf
Beyond Exchangeability: The Chinese Voting Process.
NIPS
Moontae Lee, Seok Hyun Jin, David M. Mimno
2016 J jnl
Beyond Exchangeability: The Chinese Voting Process.
CoRR
Moontae Lee, Seok Hyun Jin, David M. Mimno
2016 A* conf
Reasoning in Vector Space: An Exploratory Study of Question Answering.
ICLR (Poster)
Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky
2016 J jnl
Robust Spectral Inference for Joint Stochastic Matrix Factorization.
CoRR
Moontae Lee, David Bindel, David M. Mimno
2015 — conf
Robust Spectral Inference for Joint Stochastic Matrix Factorization.
NIPS
Moontae Lee, David Bindel, David M. Mimno
2014 A* conf
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference.
EMNLP
David M. Mimno, Moontae Lee
2013 J jnl
TaskGenies: Automatically Providing Action Plans Helps People Complete Tasks.
ACM Trans. Comput. Hum. Interact.
Nicolas Kokkalis, Thomas Köhn, Johannes Huebner, Moontae Lee, Florian Schulze, Scott R. Klemmer
2013 — conf
When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency.
MLDM
Armand Prieditis, Moontae Lee
2012 — conf
Automatically Providing Action Plans Helps People Complete Tasks.
HCOMP@AAAI
Nicolas Kokkalis, Johannes Huebner, Steven Diamond, Dominic Becker, Michael Chang, Moontae Lee, Florian Schulze, Thomas Köhn, Scott R. Klemmer