Sotabase

Career

· John R Louise S Parker Professor, Computer Science Department, UNC Chapel Hill, University of North Carolina at Chapel Hill2016–
· Research Assistant Professor, Toyota Technological Institute at Chicago (TTI-Chicago)2013–2016
· PhD Research Intern, Google2011–2011
· PhD Research Intern, Microsoft2010–2010
· PhD MS, UC Berkeley2008–2013
· Summer Research Intern, Cornell University2007–2007
· BTech, IIT Kanpur2004–2008

Publications (378)

LXMERT: Learning Cross-Modality Encoder Representations from Transformers
Conference on Empirical Methods in Natural Language Processing · 2019
2,802
cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
arXiv.org · 2022
2,201
cited
End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures
Annual Meeting of the Association for Computational Linguistics · 2016
1,246
cited
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Neural Information Processing Systems · 2022
1,197
cited
Adversarial NLI: A New Benchmark for Natural Language Understanding
Annual Meeting of the Association for Computational Linguistics · 2019
1,149
cited
MAttNet: Modular Attention Network for Referring Expression Comprehension
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2018
914
cited
Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling
Computer Vision and Pattern Recognition · 2021
753
cited
TVQA: Localized, Compositional Video Question Answering
Conference on Empirical Methods in Natural Language Processing · 2018
727
cited
Unifying Vision-and-Language Tasks via Text Generation
International Conference on Machine Learning · 2021
612
cited
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Annual Meeting of the Association for Computational Linguistics · 2018
605
cited
Towards Universal Paraphrastic Sentence Embeddings
International Conference on Learning Representations · 2015
566
cited
TIES-Merging: Resolving Interference When Merging Models
Neural Information Processing Systems · 2023
556
cited
How Much Can CLIP Benefit Vision-and-Language Tasks?
International Conference on Learning Representations · 2021
476
cited
Dynabench: Rethinking Benchmarking in NLP
North American Chapter of the Association for Computational Linguistics · 2021
472
cited
VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Computer Vision and Pattern Recognition · 2021
436
cited
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout
North American Chapter of the Association for Computational Linguistics · 2019
370
cited
Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?
Annual Meeting of the Association for Computational Linguistics · 2020
334
cited
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
AAAI Conference on Artificial Intelligence · 2018
329
cited
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval
European Conference on Computer Vision · 2020
328
cited
Tailoring Continuous Word Representations for Dependency Parsing
Annual Meeting of the Association for Computational Linguistics · 2014
316
cited
Sotabase