Hritik Bansal
Hritik Bansal
University of California Los Angeles | Indian Institute of Technology Delhi
E-mailová adresa ověřena na: - Domovská stránka
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
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
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
Leaving reality to imagination: Robust classification via generated datasets
H Bansal, A Grover
arXiv preprint arXiv:2302.02503, 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
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
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
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
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning
H Bansal, N Singhi, Y Yang, F Yin, A Grover, KW Chang
arXiv preprint arXiv:2303.03323, 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
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
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
Peering through preferences: Unraveling feedback acquisition for aligning large language models
H Bansal, J Dang, A Grover
arXiv preprint arXiv:2308.15812, 2023
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
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
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
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
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?
H Bansal, G Bhatt, S Agarwal
arXiv preprint arXiv:2010.04976, 2020
VideoCon: Robust Video-Language Alignment via Contrast Captions
H Bansal, Y Bitton, I Szpektor, KW Chang, A Grover
arXiv preprint arXiv:2311.10111, 2023
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Články 1–19