Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows - Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin Su; Zhaoqing Suo; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; et al. (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning - Tianbao Xie; Siheng Zhao; Chen Henry Wu; Yitao Liu; Qian Luo; Victor Zhong; Yanchao Yang; Tao Yu (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Wenjing Hu; Yuchen Mao; Tianbao Xie; Hongshen Xu; et al. (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments - Tianbao Xie; Danyang Zhang; Jixuan Chen; Xiaochuan Li; Siheng Zhao; Ruisheng Cao; Toh Jing Hua; Zhoujun Cheng; Dongchan Shin; Fangyu Lei; Yitao Liu; Yiheng Xu; et al. (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Policy Improvement using Language Feedback Models - Victor Zhong; Dipendra Misra; Xingdi Yuan; Marc-Alexandre Côté (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Policy Improvement using Language Feedback Models - Victor Zhong; Dipendra Misra; Xingdi Yuan; Marc-Alexandre Côté (CoRR, 2024)

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments - Tianbao Xie; Danyang Zhang; Jixuan Chen; Xiaochuan Li; Siheng Zhao; Ruisheng Cao; Toh Jing Hua; Zhoujun Cheng; Dongchan Shin; Fangyu Lei; Yitao Liu; Yiheng Xu; et al. (CoRR, 2024)

Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? - Ruisheng Cao; Fangyu Lei; Haoyuan Wu; Jixuan Chen; Yeqiao Fu; Hongcheng Gao; Xinzhuang Xiong; Hanchong Zhang; Yuchen Mao; Wenjing Hu; Tianbao Xie; Hongshen Xu; et al. (CoRR, 2024)

Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows - Fangyu Lei; Jixuan Chen; Yuxiao Ye; Ruisheng Cao; Dongchan Shin; Hongjin Su; Zhaoqing Suo; Hongcheng Gao; Wenjing Hu; Pengcheng Yin; Victor Zhong; Caiming Xiong; et al. (CoRR, 2024)

Reading to Learn - Victor Zhong (University of Washington, USA, 2023)

When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Daniel Khashabi; Hannaneh Hajishirzi (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering - Victor Zhong; Weijia Shi; Wen-tau Yih; Luke Zettlemoyer (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning - Tianbao Xie; Siheng Zhao; Chen Henry Wu; Yitao Liu; Qian Luo; Victor Zhong; Yanchao Yang; Tao Yu (CoRR, 2023)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models - Tianbao Xie; Chen Henry Wu; Peng Shi; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

M2D2: A Massively Multi-Domain Language Modeling Dataset - Machel Reid; Victor Zhong; Suchin Gururangan; Luke Zettlemoyer (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

Improving Intrinsic Exploration with Language Abstractions - Jesse Mu; Victor Zhong; Roberta Raileanu; Minqi Jiang; Noah D. Goodman; Tim Rocktäschel; Edward Grefenstette (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Improving Policy Learning via Language Dynamics Distillation - Victor Zhong; Jesse Mu; Luke Zettlemoyer; Edward Grefenstette; Tim Rocktäschel (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models - Tianbao Xie; Chen Henry Wu; Peng Shi; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (CoRR, 2022)

Improving Intrinsic Exploration with Language Abstractions - Jesse Mu; Victor Zhong; Roberta Raileanu; Minqi Jiang; Noah D. Goodman; Tim Rocktäschel; Edward Grefenstette (CoRR, 2022)

Improving Policy Learning via Language Dynamics Distillation - Victor Zhong; Jesse Mu; Luke Zettlemoyer; Edward Grefenstette; Tim Rocktäschel (CoRR, 2022)

M2D2: A Massively Multi-domain Language Modeling Dataset - Machel Reid; Victor Zhong; Suchin Gururangan; Luke Zettlemoyer (CoRR, 2022)

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering - Victor Zhong; Weijia Shi; Wen-tau Yih; Luke Zettlemoyer (CoRR, 2022)

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories - Alex Mallen; Akari Asai; Victor Zhong; Rajarshi Das; Hannaneh Hajishirzi; Daniel Khashabi (CoRR, 2022)

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer - Machel Reid; Victor Zhong (Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021, 2021)

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning - Austin W. Hanjie; Victor Zhong; Karthik Narasimhan (Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18-24 July 2021, Virtual Event, 2021)

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer - Machel Reid; Victor Zhong (CoRR, 2021)

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark - Victor Zhong; Austin W. Hanjie; Sida I. Wang; Karthik Narasimhan; Luke Zettlemoyer (CoRR, 2021)

Grounded Adaptation for Zero-shot Executable Semantic Parsing - Victor Zhong; Mike Lewis; Sida I. Wang; Luke Zettlemoyer (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

RTFM: Generalising to New Environment Dynamics via Reading - Victor Zhong; Tim Rocktäschel; Edward Grefenstette (8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020, 2020)

Grounded Adaptation for Zero-shot Executable Semantic Parsing - Victor Zhong; Mike Lewis; Sida I. Wang; Luke Zettlemoyer (CoRR, 2020)

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading - Victor Zhong; Luke Zettlemoyer (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Multi-hop Reading Comprehension through Question Decomposition and Rescoring - Sewon Min; Victor Zhong; Luke Zettlemoyer; Hannaneh Hajishirzi (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering - Victor Zhong; Caiming Xiong; Nitish Shirish Keskar; Richard Socher (7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019, 2019)

Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering - Victor Zhong; Caiming Xiong; Nitish Shirish Keskar; Richard Socher (CoRR, 2019)

Multi-hop Reading Comprehension through Question Decomposition and Rescoring - Sewon Min; Victor Zhong; Luke Zettlemoyer; Hannaneh Hajishirzi (CoRR, 2019)

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading - Victor Zhong; Luke Zettlemoyer (CoRR, 2019)

RTFM: Generalising to Novel Environment Dynamics via Reading - Victor Zhong; Tim Rocktäschel; Edward Grefenstette (CoRR, 2019)

Global-Locally Self-Attentive Encoder for Dialogue State Tracking - Victor Zhong; Caiming Xiong; Richard Socher (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

Efficient and Robust Question Answering from Minimal Context over Documents - Sewon Min; Victor Zhong; Richard Socher; Caiming Xiong (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

DCN+: Mixed Objective And Deep Residual Coattention for Question Answering - Caiming Xiong; Victor Zhong; Richard Socher (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Efficient and Robust Question Answering from Minimal Context over Documents - Sewon Min; Victor Zhong; Richard Socher; Caiming Xiong (CoRR, 2018)

Global-Locally Self-Attentive Dialogue State Tracker - Victor Zhong; Caiming Xiong; Richard Socher (CoRR, 2018)

Position-aware Attention and Supervised Data Improve Slot Filling - Yuhao Zhang; Victor Zhong; Danqi Chen; Gabor Angeli; Christopher D. Manning (Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017)

Dynamic Coattention Networks For Question Answering - Caiming Xiong; Victor Zhong; Richard Socher (5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings, 2017)

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning - Victor Zhong; Caiming Xiong; Richard Socher (CoRR, 2017)

DCN+: Mixed Objective and Deep Residual Coattention for Question Answering - Caiming Xiong; Victor Zhong; Richard Socher (CoRR, 2017)

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016, 2016)

Dynamic Coattention Networks For Question Answering - Caiming Xiong; Victor Zhong; Richard Socher (CoRR, 2016)

Bootstrapped Self Training for Knowledge Base Population - Gabor Angeli; Victor Zhong; Danqi Chen; Arun Tejasvi Chaganty; Jason Bolton; Melvin Jose Johnson Premkumar; Panupong Pasupat; Sonal Gupta; Christopher D. Manning (Proceedings of the 2015 Text Analysis Conference, TAC 2015, Gaithersburg, Maryland, USA, November 16-17, 2015, 2015, 2015)

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (CoRR, 2015)