Bansal, Hritik

32 publications

ICLR 2026 OpenThoughts: Data Recipes for Reasoning Models Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Rea Sprague, Ashima Suvarna, Benjamin Feuer, Leon Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M Pratt, Vivek Ramanujan, Jon Saad-Falcon, Stutee Acharya, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alex Dimakis, Ludwig Schmidt

ICLR 2026 VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation Hritik Bansal, Clark Peng, Yonatan Bitton, Roman Goldenberg, Aditya Grover, Kai-Wei Chang

ICLR 2025 Generative Verifiers: Reward Modeling as Next-Token Prediction Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

NeurIPS 2025 LaViDa: A Large Diffusion Language Model for Multimodal Understanding Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover

NeurIPS 2025 MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants Hritik Bansal, Daniel Mingyi Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover

NeurIPS 2025 OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang

ICLR 2025 Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

ICLR 2025 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

ICMLW 2024 Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover

NeurIPSW 2024 Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover

ICML 2024 ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

NeurIPSW 2024 Generative Verifiers: Reward Modeling as Next-Token Prediction Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

NeurIPSW 2024 Generative Verifiers: Reward Modeling as Next-Token Prediction Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

ICLR 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

ICLR 2024 Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models Hritik Bansal, John Dang, Aditya Grover

ICLRW 2024 Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models Hritik Bansal, John Dang, Aditya Grover

NeurIPS 2024 Scaling Transformer Neural Networks for Skillful and Reliable Medium-Range Weather Forecasting Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Sandeep Madireddy, Aditya Grover

ICLRW 2024 Scaling Transformers for Skillful and Reliable Medium-Range Weather Forecasting Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Aditya Grover

NeurIPSW 2024 Smaller, Weaker, yet Better: Training LLM Reasoners via Compute-Optimal Sampling Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

NeurIPSW 2024 TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang

CVPR 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

ICLRW 2024 VideoCon: Robust Video-Language Alignment via Contrast Captions Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

NeurIPSW 2024 VideoPhy: Evaluating Physical Commonsense for Video Generation Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover

ICCV 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang

ICLRW 2023 CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang

NeurIPS 2023 ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover

ICLRW 2023 Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal, Aditya Grover

ICMLW 2023 Leaving Reality to Imagination: Robust Classification via Generated Datasets Hritik Bansal, Aditya Grover

NeurIPSW 2023 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

NeurIPS 2023 VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

NeurIPS 2022 CyCLIP: Cyclic Contrastive Language-Image Pretraining Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan Rossi, Vishwa Vinay, Aditya Grover