Mohit Bansal
Mohit Bansal
Parker Distinguished Professor, Computer Science, UNC Chapel Hill
Verified email at - Homepage
Cited by
Cited by
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
H Tan, M Bansal
EMNLP 2019, 2019
End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures
M Miwa, M Bansal
ACL 2016, 2016
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
Adversarial NLI: A New Benchmark for Natural Language Understanding
Y Nie, A Williams, E Dinan, M Bansal, J Weston, D Kiela
ACL 2020, 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
Towards Universal Paraphrastic Sentence Embeddings
J Wieting, M Bansal, K Gimpel, K Livescu
ICLR 2016, 2015
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
YC Chen, M Bansal
ACL 2018, 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
TVQA: Localized, Compositional Video Question Answering
J Lei, L Yu, M Bansal, TL Berg
EMNLP 2018, 2018
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
Unifying Vision-and-Language Tasks via Text Generation
J Cho, J Lei, H Tan, M Bansal
ICML 2021, 2021
Tailoring Continuous Word Representations for Dependency Parsing
M Bansal, K Gimpel, K Livescu
ACL 2014, 2014
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
Dynabench: Rethinking Benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
NAACL 2021, 2021
What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment
H Mei, M Bansal, MR Walter
NAACL 2016, 2016
From Paraphrase Database to Compositional Paraphrase Model and Back
J Wieting, M Bansal, K Gimpel, K Livescu
TACL 2015, 2015
Combining fact extraction and verification with neural semantic matching networks
Y Nie, H Chen, M Bansal
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6859-6866, 2019
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
H Tan, L Yu, M Bansal
NAACL 2019, 2019
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions
L Yu, H Tan, M Bansal, TL Berg
CVPR 2017, 2016
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
P Hase, M Bansal
ACL 2020, 2020
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