Bootstrapped Self Training for Knowledge Base Population. - Gabor Angeli; Victor Zhong; Danqi Chen 001; Arun Tejasvi Chaganty; Jason Bolton; Melvin Jose Johnson Premkumar; Panupong Pasupat; Sonal Gupta; Christopher D. Manning (TAC, 2015)

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. - Ankit Kumar; Ozan Irsoy; Peter Ondruska; Mohit Iyyer; James Bradbury 002; Ishaan Gulrajani; Victor Zhong; Romain Paulus; Richard Socher (ICML, 2016)

Position-aware Attention and Supervised Data Improve Slot Filling. - Yuhao Zhang 004; Victor Zhong; Danqi Chen 001; Gabor Angeli; Christopher D. Manning (EMNLP, 2017)

Dynamic Coattention Networks For Question Answering. - Caiming Xiong; Victor Zhong; Richard Socher (ICLR (Poster), 2017)

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

Global-Locally Self-Attentive Encoder for Dialogue State Tracking. - Victor Zhong; Caiming Xiong; Richard Socher (ACL (1), 2018)

Efficient and Robust Question Answering from Minimal Context over Documents. - Sewon Min; Victor Zhong; Richard Socher; Caiming Xiong (ACL (1), 2018)

DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. - Caiming Xiong; Victor Zhong; Richard Socher (ICLR (Poster), 2018)

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

Multi-hop Reading Comprehension through Question Decomposition and Rescoring. - Sewon Min; Victor Zhong; Luke Zettlemoyer; Hannaneh Hajishirzi (ACL (1), 2019)

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. - Victor Zhong; Luke Zettlemoyer (ACL (1), 2019)

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

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

Grounded Adaptation for Zero-shot Executable Semantic Parsing. - Victor Zhong; Mike Lewis; Sida I. Wang; Luke Zettlemoyer (EMNLP (1), 2020)

RTFM: Generalising to New Environment Dynamics via Reading. - Victor Zhong; Tim Rocktäschel; Edward Grefenstette (ICLR, 2020)

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. - Machel Reid; Victor Zhong (ACL/IJCNLP (Findings), 2021)

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. - Austin W. Hanjie; Victor Zhong; Karthik Narasimhan (ICML, 2021)

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

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

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

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. - Tianbao Xie; Chen Henry Wu; Peng Shi 010; Ruiqi Zhong; Torsten Scholak; Michihiro Yasunaga; Chien-Sheng Wu; Ming Zhong 005; Pengcheng Yin; Sida I. Wang; Victor Zhong; Bailin Wang; et al. (EMNLP, 2022)

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

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

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 (ACL (1), 2023)

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. - Victor Zhong; Weijia Shi; Wen-tau Yih; Luke Zettlemoyer (EMNLP (Findings), 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 001; Tao Yu 009 (CoRR, 2023)

Reading to Learn - Victor Zhong (2023)

Text2Reward: Reward Shaping with Language Models for Reinforcement Learning. - Tianbao Xie; Siheng Zhao; Chen Henry Wu; Yitao Liu; Qian Luo; Victor Zhong; Yanchao Yang 001; Tao Yu 009 (ICLR, 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. (NeurIPS, 2024)

OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. - Tianbao Xie; Danyang Zhang; Jixuan Chen; Xiaochuan Li 003; Siheng Zhao; Ruisheng Cao; Toh Jing Hua; Zhoujun Cheng; Dongchan Shin; Fangyu Lei; Yitao Liu; Yiheng Xu; et al. (NeurIPS, 2024)

Policy Improvement using Language Feedback Models. - Victor Zhong; Dipendra Misra; Xingdi Yuan; Marc-Alexandre Côté (NeurIPS, 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. (ICLR, 2025)

OpenCUA: Open Foundations for Computer-Use Agents. - Xinyuan Wang; Bowen Wang; Dunjie Lu; Junlin Yang; Tianbao Xie; Junli Wang; Jiaqi Deng; Xiaole Guo; Yiheng Xu; Chen Henry Wu; Zhennan Shen; Zhuokai Li; et al. (CoRR, 2025)