Sotabase

Career

· Assistant Professor, University of Southern California2020–
· Visiting Researcher, Facebook AI Research2019–2020
· Teaching Fellow, CS 221 (Artificial Intelligence), Stanford University2019–
· Teaching Assistant, CS 124 (Introduction to Natural Language Processing), Stanford University2018–
· Head Teaching Assistant, CS 221 (Artificial Intelligence), Stanford University2015–
· PhD in Computer Science, Stanford University2014–2020
· Section Leader, CS 106A (Introduction to Programming), Stanford University2012–
· Tutor, Stanford University Mathematical Organization, Stanford University2011–2012
· Bachelor's Degree, Computer Science, Stanford University2010–2014
· Stanford Graduate

Publications (85)

Know What You Don’t Know: Unanswerable Questions for SQuAD
Annual Meeting of the Association for Computational Linguistics · 2018
3,153
cited
Adversarial Examples for Evaluating Reading Comprehension Systems
Conference on Empirical Methods in Natural Language Processing · 2017
1,678
cited
Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer
North American Chapter of the Association for Computational Linguistics · 2018
576
cited
Data Recombination for Neural Semantic Parsing
Annual Meeting of the Association for Computational Linguistics · 2016
476
cited
Dynabench: Rethinking Benchmarking in NLP
North American Chapter of the Association for Computational Linguistics · 2021
472
cited
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Conference on Empirical Methods in Natural Language Processing · 2019
331
cited
Certified Robustness to Adversarial Word Substitutions
Conference on Empirical Methods in Natural Language Processing · 2019
324
cited
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little
Conference on Empirical Methods in Natural Language Processing · 2021
278
cited
Selective Question Answering under Domain Shift
Annual Meeting of the Association for Computational Linguistics · 2020
248
cited
Document-Level N-ary Relation Extraction with Multiscale Representation Learning
North American Chapter of the Association for Computational Linguistics · 2019
163
cited
With Little Power Comes Great Responsibility
Conference on Empirical Methods in Natural Language Processing · 2020
138
cited
Robust Encodings: A Framework for Combating Adversarial Typos
Annual Meeting of the Association for Computational Linguistics · 2020
115
cited
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
Conference on Empirical Methods in Natural Language Processing · 2021
111
cited
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
Annual Meeting of the Association for Computational Linguistics · 2021
104
cited
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Neural Information Processing Systems · 2021
64
cited
Data Curation Alone Can Stabilize In-context Learning
Annual Meeting of the Association for Computational Linguistics · 2022
63
cited
Knowledge Base Question Answering by Case-based Reasoning over Subgraphs
International Conference on Machine Learning · 2022
61
cited
"Reverse Genomics" Predicts Function of Human Conserved Noncoding Elements.
Molecular biology and evolution · 2016
52
cited
Mx1 and Mx2 key antiviral proteins are surprisingly lost in toothed whales
Proceedings of the National Academy of Sciences of the United States of America · 2015
48
cited
IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations
arXiv.org · 2024
36
cited
Sotabase
Robin Jia | Researcher Profile | Sotabase | Sotabase