Robin Jia - RankMe

125 papers A* 14Misc 1Journal 67Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EPSVec: Efficient and Private Synthetic Data Generation via Dataset Vectors. CoRR Amin Banayeeanzade, Qingchuan Yang, Deqing Fu, Spencer Hong, Erin Babinsky, Alfy Samuel, Anoop Kumar, Robin Jia, Sai Praneeth Karimireddy
2025	J	`jnl`	Cancer-Myth: Evaluating AI Chatbot on Patient Questions with False Presuppositions. CoRR Wang Bill Zhu, Tianqi Chen, Ching Ying Lin, Jade Law, Mazen Jizzini, Jorge J. Nieva, Ruishan Liu, Robin Jia
2025	J	`jnl`	ContextLeak: Auditing Leakage in Private In-Context Learning Methods. CoRR Jacob Choi, Shuying Cao, Xingjian Dong, Wang Bill Zhu, Robin Jia, Sai Praneeth Karimireddy
2025	J	`jnl`	FoNE: Precise Single-Token Number Embeddings via Fourier Features. CoRR Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan
2025	J	`jnl`	Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition. CoRR Qinyuan Ye, Robin Jia, Xiang Ren
2025	J	`jnl`	Hubble: a Model Suite to Advance the Study of LLM Memorization. CoRR Johnny Tian-Zheng Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	J	`jnl`	Interrogating LLM design under a fair learning doctrine. CoRR Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025	—	`conf`	Interrogating LLM design under copyright law. FAccT Johnny Tian-Zheng Wei, Maggie Wang, Ameya Godbole, Jonathan H. Choi, Robin Jia
2025	J	`jnl`	LLM Unlearning Without an Expert Curated Dataset. CoRR Xiaoyuan Zhu, Muru Zhang, Ollie Liu, Robin Jia, Willie Neiswanger
2025	—	`conf`	Language Models Can Infer Action Semantics for Symbolic Planners from Environment Feedback. NAACL (Long Papers) Wang Bill Zhu, Ishika Singh, Robin Jia, Jesse Thomason
2025	—	`conf`	Mechanistic Interpretability of Emotion Inference in Large Language Models. ACL (Findings) Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani, Mina Kian, Robin Jia, Jonathan Gratch
2025	J	`jnl`	Mechanistic Interpretability of Emotion Inference in Large Language Models. CoRR Ala N. Tak, Amin Banayeeanzade, Anahita Bolourani, Mina Kian, Robin Jia, Jonathan Gratch
2025	J	`jnl`	PSALM-V: Automating Symbolic Planning in Interactive Visual Environments with Large Language Models. CoRR Wang Bill Zhu, Miaosen Chai, Ishika Singh, Robin Jia, Jesse Thomason
2025	A*	`conf`	Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries. EMNLP Tianyi Lorena Yan, Robin Jia
2025	J	`jnl`	Promote, Suppress, Iterate: How Language Models Answer One-to-Many Factual Queries. CoRR Tianyi Lorena Yan, Robin Jia
2025	A*	`conf`	Rethinking Backdoor Detection Evaluation for Language Models. EMNLP Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia
2025	—	`conf`	Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge. ACL (Findings) Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025	J	`jnl`	Robust Data Watermarking in Language Models by Injecting Fictitious Knowledge. CoRR Xinyue Cui, Johnny Tian-Zheng Wei, Swabha Swayamdipta, Robin Jia
2025	A*	`conf`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. ICLR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2025	J	`jnl`	Teaching Models to Understand (but not Generate) High-risk Data. CoRR Ryan Wang, Matthew Finlayson, Luca Soldaini, Swabha Swayamdipta, Robin Jia
2025	J	`jnl`	Textual Steering Vectors Can Improve Visual Understanding in Multimodal Large Language Models. CoRR Woody Haosheng Gan, Deqing Fu, Julian Asilis, Ollie Liu, Dani Yogatama, Vatsal Sharan, Robin Jia, Willie Neiswanger
2025	—	`conf`	TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. EMNLP (System Demonstrations) Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Yixiang Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	J	`jnl`	TokenSmith: Streamlining Data Editing, Search, and Inspection for Large-Scale Language Model Training and Interpretability. CoRR Mohammad Aflah Khan, Ameya Godbole, Johnny Tian-Zheng Wei, Ryan Wang, James Flemings, Krishna P. Gummadi, Willie Neiswanger, Robin Jia
2025	—	`conf`	Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics. ACL (Findings) Ameya Godbole, Robin Jia
2025	J	`jnl`	Verify with Caution: The Pitfalls of Relying on Imperfect Factuality Metrics. CoRR Ameya Godbole, Robin Jia
2025	J	`jnl`	When Do LLMs Admit Their Mistakes? Understanding the Role of Model Belief in Retraction. CoRR Yuqing Yang, Robin Jia
2025	J	`jnl`	When Do Transformers Learn Heuristics for Graph Connectivity? CoRR Qilin Ye, Deqing Fu, Robin Jia, Vatsal Sharan
2025	A*	`conf`	Why Do Some Inputs Break Low-Bit LLM Quantization? EMNLP Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2025	J	`jnl`	Why Do Some Inputs Break Low-Bit LLM Quantization? CoRR Ting-Yun Chang, Muru Zhang, Jesse Thomason, Robin Jia
2025	J	`jnl`	Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning. CoRR Ang Li, Charles Wang, Kaiyu Yue, Zikui Cai, Ollie Liu, Deqing Fu, Peng Guo, Wang Bill Zhu, Vatsal Sharan, Robin Jia, Willie Neiswanger, Furong Huang, Tom Goldstein, Micah Goldblum
2024	—	`conf`	Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks. NAACL-HLT Ting-Yun Chang, Jesse Thomason, Robin Jia
2024	—	`conf`	Efficient End-to-End Visual Document Understanding with Rationale Distillation. NAACL-HLT Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova
2024	J	`jnl`	IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations. CoRR Deqing Fu, Ghazal Khalighinejad, Ollie Liu, Bhuwan Dhingra, Dani Yogatama, Robin Jia, Willie Neiswanger
2024	J	`jnl`	Language Models can Infer Action Semantics for Classical Planners from Environment Feedback. CoRR Wang Zhu, Ishika Singh, Robin Jia, Jesse Thomason
2024	—	`conf`	Operationalizing Content Moderation "Accuracy" in the Digital Services Act. AIES (1) Johnny Tian-Zheng Wei, Frederike Zufall, Robin Jia
2024	A*	`conf`	Pre-trained Large Language Models Use Fourier Features to Compute Addition. NeurIPS Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
2024	J	`jnl`	Pre-trained Large Language Models Use Fourier Features to Compute Addition. CoRR Tianyi Zhou, Deqing Fu, Vatsal Sharan, Robin Jia
2024	—	`conf`	Proving membership in LLM pretraining data via data watermarks. ACL (Findings) Johnny Tian-Zheng Wei, Ryan Yixiang Wang, Robin Jia
2024	J	`jnl`	Proving membership in LLM pretraining data via data watermarks. CoRR Johnny Tian-Zheng Wei, Ryan Yixiang Wang, Robin Jia
2024	J	`jnl`	Rethinking Backdoor Detection Evaluation for Language Models. CoRR Jun Yan, Wenjie Mo, Xiang Ren, Robin Jia
2024	J	`jnl`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. CoRR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2024	A*	`conf`	Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression. NeurIPS Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
2024	A*	`conf`	When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models. EMNLP Ting-Yun Chang, Jesse Thomason, Robin Jia
2024	J	`jnl`	When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models. CoRR Ting-Yun Chang, Jesse Thomason, Robin Jia
2023	—	`conf`	Are Sample-Efficient NLP Models More Robust? ACL (2) Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2023	—	`conf`	Benchmarking Long-tail Generalization with Likelihood Splits. EACL (Findings) Ameya Godbole, Robin Jia
2023	A*	`conf`	Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. EMNLP Wang Zhu, Jesse Thomason, Robin Jia
2023	J	`jnl`	Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering. CoRR Wang Zhu, Jesse Thomason, Robin Jia
2023	—	`conf`	Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models. ACL (1) Albert Xu, Xiang Ren, Robin Jia
2023	—	`conf`	Data Curation Alone Can Stabilize In-context Learning. ACL (1) Ting-Yun Chang, Robin Jia
2023	J	`jnl`	Do Localization Methods Actually Localize Memorized Data in LLMs? CoRR Ting-Yun Chang, Jesse Thomason, Robin Jia
2023	—	`conf`	Do Question Answering Modeling Improvements Hold Across Benchmarks? ACL (1) Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
2023	J	`jnl`	Does VLN Pretraining Work with Nonsensical or Irrelevant Instructions? CoRR Wang Zhu, Ishika Singh, Yuan Huang, Robin Jia, Jesse Thomason
2023	J	`jnl`	Efficient End-to-End Visual Document Understanding with Rationale Distillation. CoRR Wang Zhu, Alekh Agarwal, Mandar Joshi, Robin Jia, Jesse Thomason, Kristina Toutanova
2023	—	`conf`	Estimating Large Language Model Capabilities without Labeled Test Data. EMNLP (Findings) Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
2023	J	`jnl`	Estimating Large Language Model Capabilities without Labeled Test Data. CoRR Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
2023	—	`conf`	How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. EMNLP (Findings) Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
2023	J	`jnl`	How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. CoRR Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
2023	J	`jnl`	Operationalizing content moderation "accuracy" in the Digital Services Act. CoRR Johnny Tian-Zheng Wei, Frederike Zufall, Robin Jia
2023	A*	`conf`	SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. EMNLP Deqing Fu, Ameya Godbole, Robin Jia
2023	J	`jnl`	SCENE: Self-Labeled Counterfactuals for Extrapolating to Negative Examples. CoRR Deqing Fu, Ameya Godbole, Robin Jia
2023	J	`jnl`	Transformers Learn Higher-Order Optimization Methods for In-Context Learning: A Study with Linear Models. CoRR Deqing Fu, Tian-Qi Chen, Robin Jia, Vatsal Sharan
2022	—	`conf`	Analyzing Dynamic Adversarial Training Data in the Limit. ACL (Findings) Eric Wallace, Adina Williams, Robin Jia, Douwe Kiela
2022	J	`jnl`	Are Sample-Efficient NLP Models More Robust? CoRR Nelson F. Liu, Ananya Kumar, Percy Liang, Robin Jia
2022	J	`jnl`	Benchmarking Long-tail Generalization with Likelihood Splits. CoRR Ameya Godbole, Robin Jia
2022	J	`jnl`	Careful Data Curation Stabilizes In-context Learning. CoRR Ting-Yun Chang, Robin Jia
2022	J	`jnl`	CoNAL: Anticipating Outliers with Large Language Models. CoRR Albert Xu, Xiang Ren, Robin Jia
2022	—	`conf`	Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. EMNLP (Findings) Wang Zhu, Jesse Thomason, Robin Jia
2022	J	`jnl`	Generalization Differences between End-to-End and Neuro-Symbolic Vision-Language Reasoning Systems. CoRR Wang Zhu, Jesse Thomason, Robin Jia
2022	A*	`conf`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. ICML Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, Andrew McCallum
2022	J	`jnl`	Knowledge Base Question Answering by Case-based Reasoning over Subgraphs. CoRR Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Robin Jia, Manzil Zaheer, Hannaneh Hajishirzi, Andrew McCallum
2022	—	`conf`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. NAACL-HLT Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2022	—	`conf`	On Continual Model Refinement in Out-of-Distribution Data Streams. ACL (1) Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Scott Yih
2022	J	`jnl`	On Continual Model Refinement in Out-of-Distribution Data Streams. CoRR Bill Yuchen Lin, Sida Wang, Xi Victoria Lin, Robin Jia, Lin Xiao, Xiang Ren, Wen-tau Yih
2022	—	`conf`	On the Robustness of Reading Comprehension Models to Entity Renaming. NAACL-HLT Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
2022	—	`conf`	Question Answering Infused Pre-training of General-Purpose Contextualized Representations. ACL (Findings) Robin Jia, Mike Lewis, Luke Zettlemoyer
2021	J	`jnl`	Analyzing Dynamic Adversarial Training Data in the Limit. CoRR Eric Wallace, Adina Williams, Robin Jia, Douwe Kiela
2021	J	`jnl`	Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches. CoRR Nelson F. Liu, Tony Lee, Robin Jia, Percy Liang
2021	—	`conf`	Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. ACL/IJCNLP (Findings) Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer
2021	—	`conf`	Dynabench: Rethinking Benchmarking in NLP. NAACL-HLT Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
2021	J	`jnl`	Dynabench: Rethinking Benchmarking in NLP. CoRR Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams
2021	A*	`conf`	Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. NeurIPS Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela
2021	J	`jnl`	Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking. CoRR Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela
2021	—	`conf`	Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards? ACL/IJCNLP (1) Pedro Rodriguez, Joe Barrow, Alexander Miserlis Hoyle, John P. Lalor, Robin Jia, Jordan L. Boyd-Graber
2021	—	`conf`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. EMNLP (1) Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	J	`jnl`	Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation. CoRR Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela
2021	—	`conf`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants. CoRR Max Bartolo, Tristan Thrush, Sebastian Riedel, Pontus Stenetorp, Robin Jia, Douwe Kiela
2021	J	`jnl`	On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren
2021	J	`jnl`	Question Answering Infused Pre-training of General-Purpose Contextualized Representations. CoRR Robin Jia, Mike Lewis, Luke Zettlemoyer
2021	—	`conf`	Robustness and Adversarial Examples in Natural Language Processing. EMNLP (Tutorial Abstracts) Kai-Wei Chang, He He, Robin Jia, Sameer Singh
2021	—	`conf`	Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. NAACL-HLT Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang
2021	J	`jnl`	Swords: A Benchmark for Lexical Substitution with Improved Data Coverage and Quality. CoRR Mina Lee, Chris Donahue, Robin Jia, Alexander Iyabor, Percy Liang
2021	—	`conf`	The statistical advantage of automatic NLG metrics at the system level. ACL/IJCNLP (1) Johnny Tian-Zheng Wei, Robin Jia
2021	J	`jnl`	The statistical advantage of automatic NLG metrics at the system level. CoRR Johnny Tian-Zheng Wei, Robin Jia
2021	—	`conf`	To what extent do human explanations of model behavior align with actual model behavior? BlackboxNLP@EMNLP Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
2020	—	`—`	Building robust natural language processing systems. Robin Jia
2020	J	`jnl`	Human Evaluation of Spoken vs. Visual Explanations for Open-Domain QA. CoRR Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Robin Jia, Yashar Mehdad, Srinivasan Iyer
2020	—	`conf`	On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks. EMNLP (Findings) Stephen Mussmann, Robin Jia, Percy Liang
2020	J	`jnl`	On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks. CoRR Stephen Mussmann, Robin Jia, Percy Liang
2020	A*	`conf`	Robust Encodings: A Framework for Combating Adversarial Typos. ACL Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang
2020	J	`jnl`	Robust Encodings: A Framework for Combating Adversarial Typos. CoRR Erik Jones, Robin Jia, Aditi Raghunathan, Percy Liang
2020	A*	`conf`	Selective Question Answering under Domain Shift. ACL Amita Kamath, Robin Jia, Percy Liang
2020	J	`jnl`	Selective Question Answering under Domain Shift. CoRR Amita Kamath, Robin Jia, Percy Liang
2020	J	`jnl`	To what extent do human explanations of model behavior align with actual model behavior? CoRR Grusha Prasad, Yixin Nie, Mohit Bansal, Robin Jia, Douwe Kiela, Adina Williams
2020	—	`conf`	With Little Power Comes Great Responsibility. EMNLP (1) Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2020	J	`jnl`	With Little Power Comes Great Responsibility. CoRR Dallas Card, Peter Henderson, Urvashi Khandelwal, Robin Jia, Kyle Mahowald, Dan Jurafsky
2019	—	`conf`	Certified Robustness to Adversarial Word Substitutions. EMNLP/IJCNLP (1) Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang
2019	J	`jnl`	Certified Robustness to Adversarial Word Substitutions. CoRR Robin Jia, Aditi Raghunathan, Kerem Göksel, Percy Liang
2019	—	`conf`	Document-Level N-ary Relation Extraction with Multiscale Representation Learning. NAACL-HLT (1) Robin Jia, Cliff Wong, Hoifung Poon
2019	J	`jnl`	Document-Level N-ary Relation Extraction with Multiscale Representation Learning. CoRR Robin Jia, Cliff Wong, Hoifung Poon
2019	—	`conf`	MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. MRQA@EMNLP Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
2019	J	`jnl`	MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension. CoRR Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
2019	—	`ed.`	Proceedings of the 2nd Workshop on Machine Reading for Question Answering, MRQA@EMNLP 2019, Hong Kong, China, November 4, 2019 MRQA@EMNLP Adam Fisch, Alon Talmor, Robin Jia, Minjoon Seo, Eunsol Choi, Danqi Chen
2018	J	`jnl`	Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer. CoRR Juncen Li, Robin Jia, He He, Percy Liang
2018	—	`conf`	Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer. NAACL-HLT Juncen Li, Robin Jia, He He, Percy Liang
2018	—	`conf`	Know What You Don't Know: Unanswerable Questions for SQuAD. ACL (2) Pranav Rajpurkar, Robin Jia, Percy Liang
2018	J	`jnl`	Know What You Don't Know: Unanswerable Questions for SQuAD. CoRR Pranav Rajpurkar, Robin Jia, Percy Liang
2018	—	`ed.`	Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018 QA@ACL Eunsol Choi, Minjoon Seo, Danqi Chen, Robin Jia, Jonathan Berant
2017	A*	`conf`	Adversarial Examples for Evaluating Reading Comprehension Systems. EMNLP Robin Jia, Percy Liang
2017	J	`jnl`	Adversarial Examples for Evaluating Reading Comprehension Systems. CoRR Robin Jia, Percy Liang
2017	Misc	`conf`	Learning concepts through conversations in spoken dialogue systems. ICASSP Robin Jia, Larry P. Heck, Dilek Hakkani-Tür, Georgi Nikolov
2016	—	`conf`	Data Recombination for Neural Semantic Parsing. ACL (1) Robin Jia, Percy Liang
2016	J	`jnl`	Data Recombination for Neural Semantic Parsing. CoRR Robin Jia, Percy Liang