Diagram Understanding in Geometry Questions. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi; Oren Etzioni (AAAI, 2014)

Bilicam: using mobile phones to monitor newborn jaundice. - Lilian de Greef; Mayank Goel; Min Joon Seo; Eric C. Larson; James W. Stout; James A. Taylor 001; Shwetak N. Patel (UbiComp, 2014)

Solving Geometry Problems: Combining Text and Diagram Interpretation. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi; Oren Etzioni; Clint Malcolm (EMNLP, 2015)

A Diagram is Worth a Dozen Images. - Aniruddha Kembhavi; Mike Salvato; Eric Kolve; Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi (ECCV (4), 2016)

Query-Regression Networks for Machine Comprehension. - Min Joon Seo; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2016)

Question Answering through Transfer Learning from Large Fine-grained Supervision Data. - Sewon Min; Min Joon Seo; Hannaneh Hajishirzi (ACL (2), 2017)

Zero-Shot Relation Extraction via Reading Comprehension. - Omer Levy; Minjoon Seo; Eunsol Choi; Luke Zettlemoyer (CoNLL, 2017)

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension. - Aniruddha Kembhavi; Min Joon Seo; Dustin Schwenk; Jonghyun Choi; Ali Farhadi; Hannaneh Hajishirzi (CVPR, 2017)

Bidirectional Attention Flow for Machine Comprehension. - Min Joon Seo; Aniruddha Kembhavi; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2017)

Query-Reduction Networks for Question Answering. - Min Joon Seo; Sewon Min; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2017)

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension. - Min Joon Seo; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (EMNLP, 2018)

Neural Speed Reading via Skim-RNN. - Min Joon Seo; Sewon Min; Ali Farhadi; Hannaneh Hajishirzi (ICLR (Poster), 2018)

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. - Adam Fisch; Alon Talmor; Robin Jia; Minjoon Seo; Eunsol Choi; Danqi Chen 001 (MRQA@EMNLP, 2019)

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index. - Min Joon Seo; Jinhyuk Lee; Tom Kwiatkowski; Ankur P. Parikh; Ali Farhadi; Hannaneh Hajishirzi (ACL (1), 2019)

Mixture Content Selection for Diverse Sequence Generation. - Jaemin Cho 001; Min Joon Seo; Hannaneh Hajishirzi (EMNLP/IJCNLP (1), 2019)

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization. - Wonseok Hwang; Jinyeung Yim; Seunghyun Park 001; Minjoon Seo (CoRR, 2019)

Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering. - Jinhyuk Lee; Min Joon Seo; Hannaneh Hajishirzi; Jaewoo Kang (CoRR, 2019)

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering. - Jinhyuk Lee; Min Joon Seo; Hannaneh Hajishirzi; Jaewoo Kang (ACL, 2020)

Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Minjoon Seo (AKBC, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Spatial Dependency Parsing for 2D Document Understanding. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Sohee Yang; Minjoon Seo (CoRR, 2020)

Is Retriever Merely an Approximator of Reader? - Sohee Yang; Minjoon Seo (CoRR, 2020)

Neural Interface for Web-Scale Knowledge. - Minjoon Seo (2020)

Spatial Dependency Parsing for Semi-Structured Document Information Extraction. - Wonseok Hwang; Jinyeong Yim; Seunghyun Park 001; Sohee Yang; Minjoon Seo (ACL/IJCNLP (Findings), 2021)

Cost-effective End-to-end Information Extraction for Semi-structured Document Images. - Wonseok Hwang; Hyunji Lee; Jinyeong Yim; Geewook Kim; Minjoon Seo (EMNLP (1), 2021)

Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering. - Sohee Yang; Minjoon Seo (NAACL-HLT, 2021)

ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation. - Aiden Seungjoon Lee; Hanseok Oh; Minjoon Seo (CoRR, 2021)

Data-efficient end-to-end Information Extraction for Statistical Legal Analysis. - Wonseok Hwang; Saehee Eom; Hanuhl Lee; Hai Jin Park; Minjoon Seo (NLLP@EMNLP, 2022)

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models. - Joel Jang; Seonghyeon Ye; Changho Lee; Sohee Yang; Joongbo Shin; Janghoon Han; Gyeonghun Kim; Minjoon Seo (EMNLP, 2022)

Generative Multi-hop Retrieval. - Hyunji Lee; Sohee Yang; Hanseok Oh; Minjoon Seo (EMNLP, 2022)

Towards Continual Knowledge Learning of Language Models. - Joel Jang; Seonghyeon Ye; Sohee Yang; Joongbo Shin; Janghoon Han; Gyeonghun Kim; Stanley Jungkyu Choi; Minjoon Seo (ICLR, 2022)

A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction. - Wonseok Hwang; Dongjun Lee; Kyoungyeon Cho; Hanuhl Lee; Minjoon Seo (NeurIPS, 2022)

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records. - Gyubok Lee; Hyeonji Hwang; Seongsu Bae; Yeonsu Kwon; Woncheol Shin; Seongjun Yang; Minjoon Seo; Jong-Yeup Kim; Edward Choi (NeurIPS, 2022)

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts. - Joel Jang; Seonghyeon Ye; Minjoon Seo (TL4NLP, 2022)

Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching. - Geewook Kim; Wonseok Hwang; Minjoon Seo; Seunghyun Park 001 (CoRR, 2022)

Generative Retrieval for Long Sequences. - Hyunji Lee; Sohee Yang; Hanseok Oh; Minjoon Seo (CoRR, 2022)

Beyond Fact Verification: Comparing and Contrasting Claims on Contentious Topics. - Miyoung Ko; Ingyu Seong; Hwaran Lee; Joonsuk Park; Minsuk Chang; Minjoon Seo (CoRR, 2022)

Prompt Injection: Parameterization of Fixed Inputs. - Eunbi Choi; Yongrae Jo; Joel Jang; Minjoon Seo (CoRR, 2022)

Contextualized Generative Retrieval. - Hyunji Lee; Jaeyoung Kim; Hoyeon Chang; Hanseok Oh; Sohee Yang; Vlad Karpukhin; Yi Lu; Minjoon Seo (CoRR, 2022)

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (CoRR, 2022)

Fixed Input Parameterization for Efficient Prompting. - Eunbi Choi; Yongrae Jo; Joel Jang; Joonwon Jang; Minjoon Seo (ACL (Findings), 2023)

Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. - Hyeonmin Ha; Soyoung Jung; Jinsol Park; Minjoon Seo; Seung-won Hwang; Byung-Gon Chun (ACL (Findings), 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)

ClaimDiff: Comparing and Contrasting Claims on Contentious Issues. - Miyoung Ko; Ingyu Seong; Hwaran Lee; Joonsuk Park; Minsuk Chang; Minjoon Seo (ACL (Findings), 2023)

Nonparametric Decoding for Generative Retrieval. - Hyunji Lee; Jaeyoung Kim; Hoyeon Chang; Hanseok Oh; Sohee Yang; Vladimir Karpukhin; Yi Lu; Minjoon Seo (ACL (Findings), 2023)

Gradient Ascent Post-training Enhances Language Model Generalization. - Dongkeun Yoon; Joel Jang; Sungdong Kim; Minjoon Seo (ACL (2), 2023)

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation. - Soyoung Yoon; Sungjoon Park; Gyuwan Kim; Junhee Cho; Kihyo Park; Gyu Tae Kim; Minjoon Seo; Alice Oh (ACL (1), 2023)

An Integrated Search System for Korea Weather Data. - Jinkyung Jo; Dayeon Ki; Soyoung Yoon; Minjoon Seo (EMNLP (Industry Track), 2023)

Aligning Large Language Models through Synthetic Feedback. - Sungdong Kim; Sanghwan Bae; Jamin Shin; Soyoung Kang; Donghyun Kwak; Kang Min Yoo; Minjoon Seo (EMNLP, 2023)

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning. - Seungone Kim; Se June Joo; Doyoung Kim 001; Joel Jang; Seonghyeon Ye; Jamin Shin; Minjoon Seo (EMNLP, 2023)

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (EMNLP (Findings), 2023)

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners. - Seonghyeon Ye; Doyoung Kim 001; Joel Jang; Joongbo Shin; Minjoon Seo (ICLR, 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)

A Bayesian Approach To Analysing Training Data Attribution In Deep Learning. - Elisa Nguyen; Minjoon Seo; Seong Joon Oh (NeurIPS, 2023)

Semi-Parametric Video-Grounded Text Generation. - Sungdong Kim; Jin-Hwa Kim; Jiyoung Lee; Minjoon Seo (CoRR, 2023)

In-Context Instruction Learning. - Seonghyeon Ye; Hyeonbin Hwang; Sohee Yang; Hyeongu Yun; Yireun Kim; Minjoon Seo (CoRR, 2023)

Effortless Integration of Memory Management into Open-Domain Conversation Systems. - Eunbi Choi; Kyoung-Woon On; Gunsoo Han; Sungwoong Kim; Daniel Wontae Nam; Daejin Jo; Seungeun Rho; Taehwan Kwon; Minjoon Seo (CoRR, 2023)

Continually Updating Generative Retrieval on Dynamic Corpora. - Soyoung Yoon; Chaeeun Kim; Hyunji Lee; Joel Jang; Minjoon Seo (CoRR, 2023)

A Bayesian Perspective On Training Data Attribution. - Elisa Nguyen; Minjoon Seo; Seong Joon Oh (CoRR, 2023)

Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment. - Yongrae Jo; Seongyun Lee; Aiden SJ Lee; Hyunji Lee; Hanseok Oh; Minjoon Seo (CoRR, 2023)

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Cho; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (CoRR, 2023)

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders. - Hyunji Lee; Luca Soldaini; Arman Cohan; Minjoon Seo; Kyle Lo (CoRR, 2023)

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following. - Seonghyeon Ye; Hyeonbin Hwang; Sohee Yang; Hyeongu Yun; Yireun Kim; Minjoon Seo (AAAI, 2024)

Semiparametric Token-Sequence Co-Supervision. - Hyunji Lee; Doyoung Kim 001; Jihoon Jun; Se June Joo; Joel Jang; Kyoung-Woon On; Minjoon Seo (ACL (1), 2024)

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation. - Seongyun Lee; Seungone Kim; Sue Hyun Park; Geewook Kim; Minjoon Seo (ACL (Findings), 2024)

Aligning Large Language Models by On-Policy Self-Judgment. - Sangkyu Lee; Sungdong Kim; Ashkan Yousefpour; Minjoon Seo; Kang Min Yoo; Youngjae Yu (ACL (1), 2024)

LangBridge: Multilingual Reasoning Without Multilingual Supervision. - Dongkeun Yoon; Joel Jang; Sungdong Kim; Seungone Kim; Sheikh Shafayat; Minjoon Seo (ACL (1), 2024)

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (EMNLP (Findings), 2024)

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning. - Geewook Kim; Minjoon Seo (EMNLP, 2024)

Rethinking the Role of Proxy Rewards in Language Model Alignment. - Sungdong Kim; Minjoon Seo (EMNLP, 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)

Exploring the Practicality of Generative Retrieval on Dynamic Corpora. - Chaeeun Kim; Soyoung Yoon; Hyunji Lee; Joel Jang; Sohee Yang; Minjoon Seo (EMNLP, 2024)

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization. - Miyoung Ko; Sue Hyun Park; Joonsuk Park; Minjoon Seo (EMNLP, 2024)

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs. - Jaehyung Kim 001; Jaehyun Nam; Sangwoo Mo; Jongjin Park; Sang-Woo Lee 001; Minjoon Seo; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2024)

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models. - Seungone Kim; Jamin Shin; Yejin Choi 001; Joel Jang; Shayne Longpre; Hwaran Lee; Sangdoo Yun; Seongjin Shin; Sungdong Kim; James Thorne; Minjoon Seo (ICLR, 2024)

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. - Seonghyeon Ye; Doyoung Kim 001; Sungdong Kim; Hyeonbin Hwang; Seungone Kim; Yongrae Jo; James Thorne; Juho Kim 001; Minjoon Seo (ICLR, 2024)

How Well Do Large Language Models Truly Ground? - Hyunji Lee; Se June Joo; Chaeeun Kim; Joel Jang; Doyoung Kim 001; Kyoung-Woon On; Minjoon Seo (NAACL-HLT, 2024)

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision. - Seongyun Lee; Sue Hyun Park; Yongrae Jo; Minjoon Seo (NAACL-HLT, 2024)

KTRL+F: Knowledge-Augmented In-Document Search. - Hanseok Oh; Haebin Shin; Miyoung Ko; Hyunji Lee; Minjoon Seo (NAACL-HLT, 2024)

REPLUG: Retrieval-Augmented Black-Box Language Models. - Weijia Shi; Sewon Min; Michihiro Yasunaga; Minjoon Seo; Richard James 001; Mike Lewis; Luke Zettlemoyer; Wen-tau Yih (NAACL-HLT, 2024)

How Do Large Language Models Acquire Factual Knowledge During Pretraining? - Hoyeon Chang; Jinho Park 005; Seonghyeon Ye; Sohee Yang; Youngkyung Seo; Du-Seong Chang; Minjoon Seo (NeurIPS, 2024)

Aligning to Thousands of Preferences via System Message Generalization. - Seongyun Lee; Sue Hyun Park; Seungone Kim; Minjoon Seo (NeurIPS, 2024)

Preference-free Alignment Learning with Regularized Relevance Reward. - Sungdong Kim; Minjoon Seo (CoRR, 2024)

INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models. - Hanseok Oh; Hyunji Lee; Seonghyeon Ye; Haebin Shin; Hansol Jang; Changwook Jun; Minjoon Seo (CoRR, 2024)

Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (CoRR, 2024)

Pegasus-v1 Technical Report. - Raehyuk Jung; Hyojun Go; Jaehyuk Yi; Jiho Jang; Daniel Kim; Jay Suh; Aiden Seung Joon Lee; Cooper Han; Jae Lee; Jeff Kim; Jin-Young Kim; Junwan Kim; et al. (CoRR, 2024)

Cognitive Map for Language Models: Optimal Planning via Verbally Representing the World Model. - Doyoung Kim 001; Jongwon Lee; Jinho Park 005; Minjoon Seo (CoRR, 2024)

Investigating How Large Language Models Leverage Internal Knowledge to Perform Complex Reasoning. - Miyoung Ko; Sue Hyun Park; Joonsuk Park; Minjoon Seo (CoRR, 2024)

TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models. - Hyeongmin Lee; Jin-Young Kim; Kyungjune Baek; Jihwan Kim; Hyojun Go; Seongsu Ha; Seokjin Han; Jiho Jang; Raehyuk Jung; Daewoo Kim; GeunOh Kim; JongMok Kim; et al. (CoRR, 2024)

RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models. - Hyunji Lee; Luca Soldaini; Arman Cohan; Minjoon Seo; Kyle Lo (CoRR, 2024)

Generative Context Distillation. - Haebin Shin; Lei Ji; Yeyun Gong; Sungdong Kim; Eunbi Choi; Minjoon Seo (CoRR, 2024)

DSAI: Unbiased and Interpretable Latent Feature Extraction for Data-Centric AI. - Hyowon Cho; Soonwon Ka; Daechul Park; Jaewook Kang; Minjoon Seo; Bokyung Son (CoRR, 2024)

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis. - Sohee Yang; Jonghyeon Kim; Joel Jang; Seonghyeon Ye; Hyunji Lee; Minjoon Seo (Trans. Assoc. Comput. Linguistics, 2024)

RouterRetriever: Routing over a Mixture of Expert Embedding Models. - Hyunji Lee; Luca Soldaini; Arman Cohan; Minjoon Seo; Kyle Lo (AAAI, 2025)

Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition. - Jiyeon Kim; Hyunji Lee; Hyowon Cho; Joel Jang; Hyeonbin Hwang; Seungpil Won; Youbin Ahn; Dohaeng Lee; Minjoon Seo (ICLR, 2025)

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models? - Seongyun Lee; Geewook Kim; Jiyeon Kim; Hyunji Lee; Hoyeon Chang; Sue Hyun Park; Minjoon Seo (ICLR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

Towards Reliable and Practical Phishing Detection. - Hyowon Cho; Minjoon Seo (NAACL (Industry Track), 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)

Generative Prompt Internalization. - Haebin Shin; Lei Ji; Yeyun Gong; Sungdong Kim; Eunbi Choi; Minjoon Seo (NAACL (Long Papers), 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)

Reasoning Models Better Express Their Confidence. - Dongkeun Yoon; Seungone Kim; Sohee Yang; Sunkyoung Kim 002; Soyeon Kim; Yongil Kim; Eunbi Choi; Yireun Kim; Minjoon Seo (CoRR, 2025)

The Coverage Principle: A Framework for Understanding Compositional Generalization. - Hoyeon Chang; Jinho Park 005; Hanseul Cho 002; Sohee Yang; Miyoung Ko; Hyeonbin Hwang; Seungpil Won; Dohaeng Lee; Youbin Ahn; Minjoon Seo (CoRR, 2025)

Let's Predict Sentence by Sentence. - Hyeonbin Hwang; Byeongguk Jeon; Seungone Kim; Jiyeon Kim; Hoyeon Chang; Sohee Yang; Seungpil Won; Dohaeng Lee; Youbin Ahn; Minjoon Seo (CoRR, 2025)

Differential Information: An Information-Theoretic Perspective on Preference Optimization. - Yunjae Won; Hyunji Lee; Hyeonbin Hwang; Minjoon Seo (CoRR, 2025)

MambaMia: A State-Space-Model-Based Compression for Efficient Video Understanding in Large Multimodal Models. - Geewook Kim; Minjoon Seo (CoRR, 2025)

Context-Informed Grounding Supervision. - Hyunji Lee; Seunghyun Yoon 002; Yunjae Won; Hanseok Oh; Geewook Kim; Trung Bui; Franck Dernoncourt; Elias Stengel-Eskin; Mohit Bansal; Minjoon Seo (CoRR, 2025)