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2020 – today
- 2024
[c15]Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng:
Improving Event Definition Following For Zero-Shot Event Detection. ACL (1) 2024: 2842-2863- [c14]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CVPR 2024: 13927-13937 - [c13]Hritik Bansal, John Dang, Aditya Grover:
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models. ICLR 2024 - [c12]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c11]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. ICML 2024 - [i29]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. CoRR abs/2401.13311 (2024) - [i28]Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng:
Improving Event Definition Following For Zero-Shot Event Detection. CoRR abs/2403.02586 (2024) - [i27]Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR abs/2404.00530 (2024) - [i26]Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang:
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. CoRR abs/2404.01030 (2024) - [i25]Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng:
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling. CoRR abs/2404.04763 (2024) - [i24]Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang:
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation. CoRR abs/2405.04682 (2024) - [i23]Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR abs/2406.03520 (2024) - [i22]Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar:
DataComp-LM: In search of the next generation of training sets for language models. CoRR abs/2406.11794 (2024) - [i21]Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, Wenting Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou:
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation. CoRR abs/2407.02235 (2024) - [i20]Lunjun Zhang, Arian Hosseini, Hritik Bansal, Mehran Kazemi, Aviral Kumar, Rishabh Agarwal:
Generative Verifiers: Reward Modeling as Next-Token Prediction. CoRR abs/2408.15240 (2024) - [i19]Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, Mehran Kazemi:
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling. CoRR abs/2408.16737 (2024) - [i18]Hritik Bansal, Daniel Israel, Siyan Zhao, Shufan Li, Tung Nguyen, Aditya Grover:
MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants. CoRR abs/2412.12661 (2024) - 2023
- [c10]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. ACL (1) 2023: 11833-11856 - [c9]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. EMNLP 2023: 4031-4047 - [c8]Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV 2023: 112-123 - [c7]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS 2023 - [c6]Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover:
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. NeurIPS 2023 - [i17]Hritik Bansal, Aditya Grover:
Leaving Reality to Imagination: Robust Classification via Generated Datasets. CoRR abs/2302.02503 (2023) - [i16]Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR abs/2303.03323 (2023) - [i15]Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang:
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR abs/2305.14327 (2023) - [i14]Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, Aditya Grover:
ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling. CoRR abs/2307.01909 (2023) - [i13]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR abs/2308.06595 (2023) - [i12]Hritik Bansal, John Dang, Aditya Grover:
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models. CoRR abs/2308.15812 (2023) - [i11]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i10]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR abs/2311.10111 (2023) - [i9]Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian T. Foster, Aditya Grover:
Scaling transformer neural networks for skillful and reliable medium-range weather forecasting. CoRR abs/2312.03876 (2023) - 2022
- [c5]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022: 1358-1370 - [c4]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP 2022: 2039-2055 - [c3]Shashank Goel, Hritik Bansal, Sumit Bhatia, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. NeurIPS 2022 - [i8]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR abs/2205.12247 (2022) - [i7]Shashank Goel, Hritik Bansal, Sumit Bhatia
, Ryan A. Rossi, Vishwa Vinay, Aditya Grover:
CyCLIP: Cyclic Contrastive Language-Image Pretraining. CoRR abs/2205.14459 (2022) - [i6]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? CoRR abs/2210.15230 (2022) - [i5]Hritik Bansal, Karthik Gopalakrishnan, Saket Dingliwal, Sravan Bodapati, Katrin Kirchhoff, Dan Roth:
Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale. CoRR abs/2212.09095 (2022) - 2021
- [c2]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh AP:
Systematic Generalization in Neural Networks-based Multivariate Time Series Forecasting Models. IJCNN 2021: 1-8 - [i4]Hritik Bansal, Gantavya Bhatt, Pankaj Malhotra, Prathosh A. P.:
Systematic Generalization for Predictive Control in Multivariate Time Series. CoRR abs/2102.05602 (2021) - 2020
- [j1]Ujjwal Gupta, Hritik Bansal, Deepak Joshi:
An improved sex-specific and age-dependent classification model for Parkinson's diagnosis using handwriting measurement. Comput. Methods Programs Biomed. 189: 105305 (2020) - [c1]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? ACL (student) 2020: 244-254 - [i3]Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal:
How much complexity does an RNN architecture need to learn syntax-sensitive dependencies? CoRR abs/2005.08199 (2020) - [i2]Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal:
Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones? CoRR abs/2010.04976 (2020)
2010 – 2019
- 2019
- [i1]Ujjwal Gupta, Hritik Bansal, Deepak Joshi:
Gender specific and Age dependent classification model for improved diagnosis in Parkinson's disease. CoRR abs/1904.09651 (2019)
Coauthor Index
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