Hritik Bansal

According to our database, Hritik Bansal authored at least 42 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

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 Sprague, Ashima Suvarna, Benjamin Feuer, 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, 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, Alexandros G. Dimakis, Ludwig Schmidt

CoRR, June, 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

CoRR, May, 2025

When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning.

Nishad Singhi, Hritik Bansal, Arian Hosseini, Aditya Grover, Kai-Wei Chang, Marcus Rohrbach, Anna Rohrbach

CoRR, April, 2025

OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement.

Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang

CoRR, March, 2025

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

CoRR, March, 2025

Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators.

Hritik Bansal, Pratyush Maini

CoRR, March, 2025

BIG-Bench Extra Hard.

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Kshitij Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat

CoRR, February, 2025

Generative Verifiers: Reward Modeling as Next-Token Prediction.

Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling.

Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BIG-Bench Extra Hard.

Mehran Kazemi, Bahare Fatemi, Hritik Bansal, John Palowitch, Chrysovalantis Anastasiou, Sanket Vaibhav Mehta, Lalit K. Jain, Virginia Aglietti, Disha Jindal, Peter Chen, Nishanth Dikkala, Gladys Tyen, Xin Liu, Uri Shalit, Silvia Chiappa, Kate Olszewska, Yi Tay, Vinh Q. Tran, Quoc V. Le, Orhan Firat

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants.

Hritik Bansal, Daniel Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover

CoRR, 2024

Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation.

Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, Wenting Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou

CoRR, 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

CoRR, 2024

GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.

Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng

CoRR, 2024

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.

Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang

CoRR, 2024

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.

Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Romit Maulik, Rao Kotamarthi, Ian T. Foster, Sandeep Madireddy, Aditya Grover

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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 Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Scott Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. 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 M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. 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, Alex Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.

Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models.

Hritik Bansal, John Dang, Aditya Grover

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VideoCon: Robust Video-Language Alignment via Contrast Captions.

Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Event Definition Following For Zero-Shot Event Detection.

Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Scaling transformer neural networks for skillful and reliable medium-range weather forecasting.

Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian T. Foster, Aditya Grover

CoRR, 2023

MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.

Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao

CoRR, 2023

VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt

CoRR, 2023

Leaving Reality to Imagination: Robust Classification via Generated Datasets.

Hritik Bansal, Aditya Grover

CoRR, 2023

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling.

Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.

Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.

Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale.

Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

CyCLIP: Cyclic Contrastive Language-Image Pretraining.

Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.

Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?

Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Systematic Generalization for Predictive Control in Multivariate Time Series.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.

CoRR, 2021

Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models.

Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?

Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal

CoRR, 2020

An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement.

Ujjwal Gupta, Hritik Bansal, Deepak Joshi

Comput. Methods Programs Biomed., 2020

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?

Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease.

Ujjwal Gupta, Hritik Bansal, Deepak Joshi

CoRR, 2019