| LXMERT: Learning Cross-Modality Encoder Representations from Transformers H Tan, M Bansal EMNLP 2019, 2019 | 3471 | 2019 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 2207 | 2022 |
| End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures M Miwa, M Bansal ACL 2016, 2016 | 1728 | 2016 |
| Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning H Liu, D Tam, M Muqeeth, J Mohta, T Huang, M Bansal, C Raffel NeurIPS 2022, 2022 | 1343 | 2022 |
| Adversarial NLI: A New Benchmark for Natural Language Understanding Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela ACL 2020, 2019 | 1266 | 2019 |
| MAttNet: Modular Attention Network for Referring Expression Comprehension L Yu, Z Lin, X Shen, J Yang, X Lu, M Bansal, TL Berg CVPR 2018, 2018 | 1077 | 2018 |
| Less is More: ClipBERT for Video-and-Language Learning via Sparse Sampling J Lei, L Li, L Zhou, Z Gan, TL Berg, M Bansal, J Liu CVPR 2021, 2021 | 888 | 2021 |
| TVQA: Localized, Compositional Video Question Answering J Lei, L Yu, M Bansal, TL Berg EMNLP 2018, 2018 | 875 | 2018 |
| Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting YC Chen, M Bansal ACL 2018, 2018 | 788 | 2018 |
| Towards Universal Paraphrastic Sentence Embeddings J Wieting, M Bansal, K Gimpel, K Livescu ICLR 2016, 2015 | 788 | 2015 |
| Ties-merging: Resolving interference when merging models P Yadav, D Tam, L Choshen, CA Raffel, M Bansal Advances in Neural Information Processing Systems 36, 7093-7115, 2023 | 728* | 2023 |
| Unifying Vision-and-Language Tasks via Text Generation J Cho, J Lei, H Tan, M Bansal ICML 2021, 2021 | 692 | 2021 |
| Dynabench: Rethinking Benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... NAACL 2021, 2021 | 598 | 2021 |
| How Much Can CLIP Benefit Vision-and-Language Tasks? S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ... ICLR 2022, 2021 | 567 | 2021 |
| VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks YL Sung, J Cho, M Bansal CVPR 2022, 2022 | 542 | 2022 |
| Trustllm: Trustworthiness in large language models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... arXiv preprint arXiv:2401.05561, 2024 | 540 | 2024 |
| DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models J Cho, A Zala, M Bansal Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 463* | 2023 |
| Detecting Moments and Highlights in Videos via Natural Language Queries J Lei, TL Berg, M Bansal Advances in Neural Information Processing Systems 34, 11846-11858, 2021 | 449 | 2021 |
| Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout H Tan, L Yu, M Bansal NAACL 2019, 2019 | 434 | 2019 |
| Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? P Hase, M Bansal ACL 2020, 2020 | 425 | 2020 |
Jaemin ChoYoung Investigator at AI2, Incoming Assistant Professor at Johns Hopkins UniversityVerified email at jhu.edu
