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Hritik Bansal
Hritik Bansal
University of California Los Angeles | Indian Institute of Technology Delhi
Verified email at g.ucla.edu - Homepage
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Cited by
Cited by
Year
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
1052022
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
98*2023
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
552022
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
552020
Leaving reality to imagination: Robust classification via generated datasets
H Bansal, A Grover
arXiv preprint arXiv:2302.02503, 2023
502023
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
352022
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
312022
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
282023
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
232023
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
222023
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
152023
Peering through preferences: Unraveling feedback acquisition for aligning large language models
H Bansal, J Dang, A Grover
arXiv preprint arXiv:2308.15812, 2023
152023
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
112024
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
82020
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
42024
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
42021
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
32024
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
22019
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation
H Bansal, Y Bitton, M Yarom, I Szpektor, A Grover, KW Chang
arXiv preprint arXiv:2405.04682, 2024
12024
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
12024
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