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 | 134* | 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 | 105 | 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 | 61 | 2022 |
Leaving reality to imagination: Robust classification via generated datasets H Bansal, A Grover arXiv preprint arXiv:2302.02503, 2023 | 55 | 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 | 52 | 2020 |
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 | 40 | 2022 |
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 | 36 | 2022 |
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 | 35 | 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 | 25 | 2023 |
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 | 22 | 2023 |
Peering through preferences: Unraveling feedback acquisition for aligning large language models H Bansal, J Dang, A Grover arXiv preprint arXiv:2308.15812, 2023 | 19 | 2023 |
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting T Nguyen, R Shah, H Bansal, T Arcomano, S Madireddy, R Maulik, ... arXiv preprint arXiv:2312.03876, 2023 | 17* | 2023 |
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 | 13 | 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 | 7 | 2020 |
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 | 5 | 2024 |
Videocon: Robust video-language alignment via contrast captions H Bansal, Y Bitton, I Szpektor, KW Chang, A Grover Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 5 | 2024 |
Systematic generalization in neural networks-based multivariate time series forecasting models H Bansal, G Bhatt, P Malhotra, AP Prathosh 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 4 | 2021 |
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 | 3 | 2024 |
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 | 2 | 2024 |
Computational prediction of replication sites in DNA sequences using complex number representation S Kundal, R Lohiya, H Bansal, S Johri, V Sarwal, K Shah arXiv preprint arXiv:1909.13751, 2019 | 2 | 2019 |