Automatically Providing Action Plans Helps People Complete Tasks. - Nicolas Kokkalis; Johannes Huebner; Steven Diamond; Dominic Becker; Michael Chang; Moontae Lee; Florian Schulze; Thomas Köhn; Scott R. Klemmer (HCOMP@AAAI, 2012)

When Classification becomes a Problem: Using Branch-and-Bound to Improve Classification Efficiency. - Armand Prieditis; Moontae Lee (MLDM, 2013)

TaskGenies: Automatically Providing Action Plans Helps People Complete Tasks. - Nicolas Kokkalis; Thomas Köhn; Johannes Huebner; Moontae Lee; Florian Schulze; Scott R. Klemmer (ACM Trans. Comput. Hum. Interact., 2013)

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference. - David M. Mimno; Moontae Lee (EMNLP, 2014)

Robust Spectral Inference for Joint Stochastic Matrix Factorization. - Moontae Lee; David Bindel; David M. Mimno (NIPS, 2015)

Beyond Exchangeability: The Chinese Voting Process. - Moontae Lee; Seok Hyun Jin; David M. Mimno (NIPS, 2016)

Reasoning in Vector Space: An Exploratory Study of Question Answering. - Moontae Lee; Xiaodong He 001; Wen-tau Yih; Jianfeng Gao 001; Li Deng 001; Paul Smolensky (ICLR (Poster), 2016)

Basic Reasoning with Tensor Product Representations. - Paul Smolensky; Moontae Lee; Xiaodong He 001; Wen-tau Yih; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models. - Moontae Lee; David Bindel; David M. Mimno (CoRR, 2017)

Joint-Stochastic Spectral Inference for Robust Co-occurence Modeling and Latent Topic Analysis. - Moontae Lee (2018)

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm. - Moontae Lee; Sungjun Cho; David Bindel; David Mimno (EMNLP/IJCNLP (1), 2019)

Prior-aware Composition Inference for Spectral Topic Models. - Moontae Lee; David Bindel; David Mimno (AISTATS, 2020)

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference. - Moontae Lee; Sungjun Cho; Kun Dong; David Mimno; David Bindel (ICML, 2021)

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 (ICML, 2022)

Symbolic Music Loop Generation with Neural Discrete Representations. - Sangjun Han; Hyeongrae Ihm; Moontae Lee; Woohyung Lim (ISMIR, 2022)

Few-shot Subgoal Planning with Language Models. - Lajanugen Logeswaran; Yao Fu; Moontae Lee; Honglak Lee (NAACL-HLT, 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 (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 (NeurIPS, 2022)

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching. - Byoungjip Kim; Sungik Choi; Dasol Hwang; Moontae Lee; Honglak Lee (NeurIPS, 2022)

Pure Transformers are Powerful Graph Learners. - Jinwoo Kim; Dat Nguyen; Seonwoo Min; Sungjun Cho; Moontae Lee; Honglak Lee; Seunghoon Hong (NeurIPS, 2022)

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning. - Sungmin Cha; Soonwon Hong; Moontae Lee; Taesup Moon (CoRR, 2022)

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2022)

Is Continual Learning Truly Learning Representations Continually? - Sungmin Cha; Dongsub Shim; Hyunwoo Kim; Moontae Lee; Honglak Lee; Taesup Moon (CoRR, 2022)

Pure Transformers are Powerful Graph Learners. - Jinwoo Kim; Tien Dat Nguyen; Seonwoo Min; Sungjun Cho; Moontae Lee; Honglak Lee; Seunghoon Hong (CoRR, 2022)

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

Knowledge Unlearning for Mitigating Privacy Risks in Language Models. - Joel Jang; Dongkeun Yoon; Sohee Yang; Sungmin Cha; Moontae Lee; Lajanugen Logeswaran; Minjoon Seo (ACL (1), 2023)

Few-shot Reranking for Multi-hop QA via Language Model Prompting. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (1), 2023)

When to Read Documents or QA History: On Unified and Selective Open-domain QA. - Kyungjae Lee 002; Sang-eun Han; Seung-won Hwang; Moontae Lee (ACL (Findings), 2023)

Unsupervised Task Graph Generation from Instructional Video Transcripts. - Lajanugen Logeswaran; Sungryull Sohn; Yunseok Jang 001; Moontae Lee; Honglak Lee (ACL (Findings), 2023)

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

On Sample-Efficient Code Generation. - Hojae Han; Yu Jin Kim; Byoungjip Kim; Youngwon Lee 003; Kyungjae Lee 002; Kyungmin Lee; Moontae Lee; Kyunghoon Bae; Seung-won Hwang (EMNLP (Industry Track), 2023)

GRACE: Discriminator-Guided Chain-of-Thought Reasoning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP (Findings), 2023)

Merging Generated and Retrieved Knowledge for Open-Domain QA. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (EMNLP, 2023)

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 (EMNLP, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

QASA: Advanced Question Answering on Scientific Articles. - Yoonjoo Lee; Kyungjae Lee 002; Sunghyun Park 005; Dasol Hwang; Jaehyeon Kim; Hong-In Lee; Moontae Lee (ICML, 2023)

Neural Stochastic Differential Games for Time-series Analysis. - Sungwoo Park; Byoungwoo Park; Moontae Lee; Changhee Lee (ICML, 2023)

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

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations. - Youngsoo Jang; Geon-Hyeong Kim; Jongmin Lee 004; Sungryull Sohn; Byoungjip Kim; Honglak Lee; Moontae Lee (NeurIPS, 2023)

Multimodal Subtask Graph Generation from Instructional Videos. - Yunseok Jang 001; Sungryull Sohn; Lajanugen Logeswaran; Tiange Luo; Moontae Lee; Honglak Lee (CoRR, 2023)

Discriminator-Guided Multi-step Reasoning with Language Models. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

Exploring Demonstration Ensembling for In-context Learning. - Muhammad Khalifa; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2023)

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning. - Sungjun Cho; Seunghyuk Cho; Sungwoo Park; Hankook Lee; Honglak Lee; Moontae Lee (CoRR, 2023)

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion. - Hyunseung Lim; Ji Yong Cho; Taewan Kim; Jeongeon Park; Hyungyu Shin; Seulgi Choi; Sunghyun Park 005; Kyungjae Lee 002; Juho Kim 001; Moontae Lee; Hwajung Hong (Conference on Designing Interactive Systems, 2024)

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

YTCommentQA: Video Question Answerability in Instructional Videos. - Saelyne Yang; Sunghyun Park; Yunseok Jang 001; Moontae Lee (AAAI, 2024)

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. - Yongrae Jo; Seongyun Lee; Minju Seo; Sung Ju Hwang; Moontae Lee (ClinicalNLP@NAACL, 2024)

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments. - Sangwoo Shin; Seunghyun Kim; Youngsoo Jang; Moontae Lee; Honguk Woo (ACL (Findings), 2024)

Small Language Models Need Strong Verifiers to Self-Correct Reasoning. - Yunxiang Zhang; Muhammad Khalifa; Lajanugen Logeswaran; Jaekyeom Kim; Moontae Lee; Honglak Lee; Lu Wang 008 (ACL (Findings), 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 (CoLLAs, 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 (CVPR Workshops, 2024)

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 (EMNLP (Findings), 2024)

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 002; Minjoon Seo (EMNLP, 2024)

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 (EMNLP (Findings), 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 (ICML, 2024)

Enhancing Fusion-in-Decoder for Multi-Granularity Ranking. - Haeju Park; Kyungjae Lee 002; Sunghyun Park 005; Moontae Lee (IR-RAG@SIGIR, 2024)

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 (NAACL-HLT, 2024)

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense. - Siqi Shen; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Soujanya Poria; Rada Mihalcea (NAACL-HLT, 2024)

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 (NAACL-HLT, 2024)

Reinforcement Learning from Reflective Feedback (RLRF): Aligning and Improving LLMs via Fine-Grained Self-Reflection. - Kyungjae Lee 002; Dasol Hwang; Sunghyun Park 005; Youngsoo Jang; Moontae Lee (CoRR, 2024)

Practical and Reproducible Symbolic Music Generation by Large Language Models with Structural Embeddings. - Seungyeon Rhyu; Kichang Yang; Sungjun Cho; Jaehyeon Kim; Kyogu Lee; Moontae Lee (CoRR, 2024)

EXAONE 3.0 7.8B Instruction Tuned Language Model. - 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; et al. (CoRR, 2024)

Towards Robust and Cost-Efficient Knowledge Unlearning for Large Language Models. - Sungmin Cha; Sungjun Cho; Dasol Hwang; Moontae Lee (CoRR, 2024)

Partial-Multivariate Model for Forecasting. - Jaehoon Lee; Hankook Lee; Sungik Choi; Sungjun Cho; Moontae Lee (CoRR, 2024)

SPRIG: Improving Large Language Model Performance by System Prompt Optimization. - Lechen Zhang; Tolga Ergen; Lajanugen Logeswaran; Moontae Lee; David Jurgens (CoRR, 2024)

HFI: A unified framework for training-free detection and implicit watermarking of latent diffusion model generated images. - Sungik Choi; Sungwoo Park; Jaehoon Lee; Seunghyun Kim; Stanley Jungkyu Choi; Moontae Lee (CoRR, 2024)

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 (AAAI, 2025)

Shifting from Ranking to Set Selection for Retrieval Augmented Generation. - Dahyun Lee; Yongrae Jo; Haeju Park; Moontae Lee (ACL (1), 2025)

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

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 (ICORES, 2025)

Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation. - Takyoung Kim; Kyungjae Lee 002; Young Rok Jang; Ji Yong Cho; Gangwoo Kim; Minseok Cho; Moontae Lee (NAACL (Findings), 2025)

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 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

Automatically Evaluating the Paper Reviewing Capability of Large Language Models. - Hyungyu Shin; Jingyu Tang; Yoonjoo Lee; Nayoung Kim; Hyunseung Lim; Ji Yong Cho; Hwajung Hong; Moontae Lee; Juho Kim 001 (CoRR, 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 008 (CoRR, 2025)

Process Reward Models That Think. - Muhammad Khalifa; Rishabh Agarwal; Lajanugen Logeswaran; Jaekyeom Kim; Hao Peng 009; Moontae Lee; Honglak Lee; Lu Wang 008 (CoRR, 2025)

The CoT Encyclopedia: Analyzing, Predicting, and Controlling how a Reasoning Model will Think. - Seongyun Lee; Seungone Kim; Minju Seo; Yongrae Jo; Dongyoung Go; Hyeonbin Hwang; Jinho Park 005; Xiang Yue; Sean Welleck; Graham Neubig; Moontae Lee; Minjoon Seo (CoRR, 2025)

SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety. - Geon-Hyeong Kim; Youngsoo Jang; Yu Jin Kim; Byoungjip Kim; Honglak Lee; Kyunghoon Bae; Moontae Lee (CoRR, 2025)

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 005; Haeju Park; Jinyoung Yeo; Moontae Lee; Kyungjae Lee 002 (CoRR, 2025)

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation. - Chang Liu; Yixin Wang; Moontae Lee (CoRR, 2025)

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? - Siqi Shen; Mehar Singh; Lajanugen Logeswaran; Moontae Lee; Honglak Lee; Rada Mihalcea (CoRR, 2025)