Moontae Lee

51 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (11) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (102) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (13) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 👥 Mega-Team (32) 🏆 Grand Slam 🤝 Dynamic Duo (22) 🌱 Topic Pioneer 🔬 Deep Specialist (12) 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter 🗃️ Keyword Collector (255) 🔥 Unstoppable (7) ⚡ Prolific Year (15) 💎 Century Club (50) ❓ The Questioner

Conferences

EMNLP (11) ACL (9) NIPS (8) ICML (7) NAACL (7) AAAI (4) AISTATS (1) CVPR (1) EACL (1) ICLR (1) IJCNLP (1)

Top co-authors

Honglak Lee (23) Lajanugen Logeswaran (14) Sungjun Cho (10) Kyungjae Lee (8) David Mimno (7) Byoungjip Kim (6) Yu Jin Kim (5) Youngsoo Jang (5) David Bindel (5) Dasol Hwang (5)

Research topics

Keywords

large language model (14) language model (7) chain-of-thought reasoning (3) retrieval-augmented generation (3) unsupervised learning (2) molecular property prediction (2) instructional video (2) code generation (2) model editing (2) knowledge unlearning (2) question answering (2) spectral algorithm (2) knowledge distillation (2) multi-hop question answering (2) matrix factorization (2) natural language inference (2) text generation (2) topic modeling (2) language model evaluation (2) latent topic analysis (2)

Papers

IRPO: Implicit Policy Regularized Preference Optimization EACL 2026

Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code ACL 2025

Shifting from Ranking to Set Selection for Retrieval Augmented Generation ACL 2025

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models NAACL 2025

Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation ICML 2025

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs ICLR 2025

Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews EMNLP 2025

Revisiting LLM Value Probing Strategies: Are They Robust and Expressive? EMNLP 2025

One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL ACL 2025

3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025

Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation NAACL 2025

You don’t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments NAACL 2024

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024

YTCommentQA: Video Question Answerability in Instructional Videos AAAI 2024

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments ACL 2024

Small Language Models Need Strong Verifiers to Self-Correct Reasoning ACL 2024

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models EMNLP 2024

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking EMNLP 2024

When ”A Helpful Assistant” Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models EMNLP 2024

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration ICML 2024

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense NAACL 2024

Code Models are Zero-shot Precondition Reasoners NAACL 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 NAACL 2024

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning EMNLP 2023

On Sample-Efficient Code Generation EMNLP 2023

GRACE: Discriminator-Guided Chain-of-Thought Reasoning EMNLP 2023

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NIPS 2023

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models NIPS 2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning ICML 2023

QASA: Advanced Question Answering on Scientific Articles ICML 2023

Neural Stochastic Differential Games for Time-series Analysis ICML 2023

Unsupervised Task Graph Generation from Instructional Video Transcripts ACL 2023

When to Read Documents or QA History: On Unified and Selective Open-domain QA ACL 2023

Few-shot Reranking for Multi-hop QA via Language Model Prompting ACL 2023

Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters AAAI 2023

Merging Generated and Retrieved Knowledge for Open-Domain QA EMNLP 2023

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules ICML 2022

Few-shot Subgoal Planning with Language Models NAACL 2022

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost NIPS 2022

Pure Transformers are Powerful Graph Learners NIPS 2022

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition NIPS 2022

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching NIPS 2022

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference ICML 2021

Prior-aware Composition Inference for Spectral Topic Models AISTATS 2020

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm IJCNLP 2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm EMNLP 2019

Beyond Exchangeability: The Chinese Voting Process NIPS 2016

Robust Spectral Inference for Joint Stochastic Matrix Factorization NIPS 2015

Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference EMNLP 2014