| MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts P Lu, H Bansal, T Xia, J Liu, C Li, H Hajishirzi, H Cheng, KW Chang, ... arXiv preprint arXiv:2310.02255, 2023 | 331 | 2023 |
| Cyclip: Cyclic contrastive language-image pretraining S Goel, H Bansal, S Bhatia, R Rossi, V Vinay, A Grover Advances in Neural Information Processing Systems 35, 6704-6719, 2022 | 143 | 2022 |
| How well can text-to-image generative models understand ethical natural language interventions? H Bansal, D Yin, M Monajatipoor, KW Chang arXiv preprint arXiv:2210.15230, 2022 | 81 | 2022 |
| Leaving reality to imagination: Robust classification via generated datasets H Bansal, A Grover arXiv preprint arXiv:2302.02503, 2023 | 73 | 2023 |
| An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement U Gupta, H Bansal, D Joshi Computer methods and programs in biomedicine 189, 105305, 2020 | 61 | 2020 |
| Visit-bench: A benchmark for vision-language instruction following inspired by real-world use Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ... arXiv preprint arXiv:2308.06595, 2023 | 56 | 2023 |
| Geomlama: Geo-diverse commonsense probing on multilingual pre-trained language models D Yin, H Bansal, M Monajatipoor, LH Li, KW Chang arXiv preprint arXiv:2205.12247, 2022 | 50 | 2022 |
| Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 47* | 2024 |
| Rethinking the role of scale for in-context learning: An interpretability-based case study at 66 billion scale H Bansal, K Gopalakrishnan, S Dingliwal, S Bodapati, K Kirchhoff, D Roth arXiv preprint arXiv:2212.09095, 2022 | 47 | 2022 |
| Cleanclip: Mitigating data poisoning attacks in multimodal contrastive learning H Bansal, N Singhi, Y Yang, F Yin, A Grover, KW Chang Proceedings of the IEEE/CVF International Conference on Computer Vision, 112-123, 2023 | 43 | 2023 |
| Dynosaur: A dynamic growth paradigm for instruction-tuning data curation D Yin, X Liu, F Yin, M Zhong, H Bansal, J Han, KW Chang arXiv preprint arXiv:2305.14327, 2023 | 36 | 2023 |
| Scaling transformer neural networks for skillful and reliable medium-range weather forecasting T Nguyen, R Shah, H Bansal, T Arcomano, R Maulik, V Kotamarthi, ... arXiv preprint arXiv:2312.03876, 2023 | 34* | 2023 |
| Generative verifiers: Reward modeling as next-token prediction L Zhang, A Hosseini, H Bansal, M Kazemi, A Kumar, R Agarwal arXiv preprint arXiv:2408.15240, 2024 | 24 | 2024 |
| Climatelearn: Benchmarking machine learning for weather and climate modeling T Nguyen, J Jewik, H Bansal, P Sharma, A Grover Advances in Neural Information Processing Systems 36, 2024 | 22 | 2024 |
| Peering through preferences: Unraveling feedback acquisition for aligning large language models H Bansal, J Dang, A Grover arXiv preprint arXiv:2308.15812, 2023 | 20 | 2023 |
| Smaller, weaker, yet better: Training llm reasoners via compute-optimal sampling H Bansal, A Hosseini, R Agarwal, VQ Tran, M Kazemi arXiv preprint arXiv:2408.16737, 2024 | 16 | 2024 |
| ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models R Wadhawan, H Bansal, KW Chang, N Peng arXiv preprint arXiv:2401.13311, 2024 | 10 | 2024 |
| VideoPhy: Evaluating Physical Commonsense for Video Generation H Bansal, Z Lin, T Xie, Z Zong, M Yarom, Y Bitton, C Jiang, Y Sun, ... arXiv preprint arXiv:2406.03520, 2024 | 9 | 2024 |
| How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? G Bhatt, H Bansal, R Singh, S Agarwal Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 8 | 2020 |
| Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation Y Wan, A Subramonian, A Ovalle, Z Lin, A Suvarna, C Chance, H Bansal, ... arXiv preprint arXiv:2404.01030, 2024 | 7 | 2024 |
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
