Hritik Bansal
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
7
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ICLR | Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. | Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Generative Verifiers: Reward Modeling as Next-Token Prediction. | Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal |
| 2024 | ACL | 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 |
| 2024 | CVPR | VideoCon: Robust Video-Language Alignment via Contrast Captions. | Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover |
| 2024 | ICLR | Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models. | Hritik Bansal, John Dang, Aditya Grover |
| 2024 | ICLR | 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 |
| 2024 | ICML | ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. | Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng |
| 2023 | ACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICCV | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. | Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang |
| 2022 | EMNLP | How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? | Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang |
| 2022 | EMNLP | GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. | Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang |
| 2021 | IJCNN | Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. | Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP |
| 2020 | ACL | How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? | Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal |