Publications

CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
arXiv preprint, 2025

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Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems
Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal
arXiv preprint, 2025

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Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization
Jialu Li*, Shoubin Yu*, Han Lin*, Jaemin Cho, Jaehong Yoon, Mohit Bansal
arXiv preprint, 2025

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DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
In ICLR (Spotlight), 2025

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Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model
Han Lin*, Jaemin Cho*, Abhay Zala, Mohit Bansal
In ICLR (Oral), 2025

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VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement
Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal
arXiv preprint, 2024

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M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Jaemin Cho, Debanjan Mahata, Ozan İrsoy, Yujie He, Mohit Bansal
arXiv preprint, 2024

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SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
Jialu Li*, Jaemin Cho*, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal
In NeurIPS, 2024

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VideoDirectorGPT: Consistent Multi-Scene Video Generation via LLM-Guided Planning
Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal
In COLM, 2024

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EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents
Abhay Zala*, Jaemin Cho*, Han Lin, Jaehong Yoon, Mohit Bansal
In COLM, 2024

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DiagrammerGPT: Generating Open-Domain, Open-Platform Diagrams via LLM Planning
Abhay Zala, Han Lin, Jaemin Cho, Mohit Bansal
In COLM, 2024

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DOCCI: Descriptions of Connected and Contrasting Images
Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge
In ECCV, 2024

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Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training
David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
In ECCV, 2024

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An Assessment of Reported Biases and Harms of Large Language Models
Heesoo Jang, Jaemin Cho
In ICA (Top Paper Award), 2024

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Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation
Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal
In CVPR Workshop (Oral), 2024

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Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts
Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer
In CVPR, 2024

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Davidsonian Scene Graph: Improving Reliability in Fine-Grained Evaluation for Text-to-Image Generation
Jaemin Cho, Yushi Hu, Roopal Garg, Peter Anderson, Ranjay Krishna, Jason Baldridge, Mohit Bansal, Jordi Pont-Tuset, Su Wang
In ICLR, 2024

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Visual Programming for Text-to-Image Generation and Evaluation
Jaemin Cho, Abhay Zala, Mohit Bansal
In NeurIPS, 2023

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Self-Chained Image-Language Model for Video Localization and Question Answering
Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal
In NeurIPS, 2023

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Paxion: Patching Action Knowledge in Video-Language Foundation Models
Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji
In NeurIPS, 2023

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DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models
Jaemin Cho, Abhay Zala, Mohit Bansal
In ICCV, 2023

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Hierarchical Video-Moment Retrieval and Step-Captioning
Abhay Zala*, Jaemin Cho*, Satwik Kottur, Xilun Chen, Barlas Oğuz, Yasahar Mehdad, Mohit Bansal
In CVPR, 2023

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Perceiver-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention
Zineng Tang*, Jaemin Cho*, Jie Lei, Mohit Bansal
In WACV, 2023

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TVLT: Textless Vision-Language Transformer
Zineng Tang*, Jaemin Cho*, Yixin Nie*, Mohit Bansal
In NeurIPS (Oral), 2022

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LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
In NeurIPS, 2022

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Fine-grained Image Captioning with CLIP Reward
Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal
In Findings of NAACL, 2022

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VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung, Jaemin Cho, Mohit Bansal
In CVPR, 2022

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MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding
Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avi Sil, Shih-Fu Chang, Alexander Schiwing, Heng Ji
In AAAI, 2021

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VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer
Zineng Tang, Jaemin Cho, Hao Tan, Mohit Bansal
In NeurIPS, 2021

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Unifying Vision-and-Language Tasks via Text Generation
Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal
In ICML, 2021

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X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
In EMNLP, 2020

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Mixture Content Selection for Diverse Sequence Generation
Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
In EMNLP, 2019

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A Hierarchical Latent Structure for Variational Conversation Modeling
Yookoon Park, Jaemin Cho, Gunhee Kim
In NAACL (Oral), 2018

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