Victor Zhong

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 43

Top Topics

Reinforcement Learning

Natural Language

Question Answering

Top Venues

Publications

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, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR (2024)
Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
Text2Reward: Reward Shaping with Language Models for Reinforcement Learning. ICLR (2024)
Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
Policy Improvement using Language Feedback Models. CoRR (2024)
Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR (2024)
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi
When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. ACL (1) (2023)
Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning. CoRR (2023)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) (2023)
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi
When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. CoRR (2022)
Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Improving Policy Learning via Language Dynamics Distillation. CoRR (2022)
Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
M2D2: A Massively Multi-domain Language Modeling Dataset. CoRR (2022)
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, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP (2022)
Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
M2D2: A Massively Multi-Domain Language Modeling Dataset. EMNLP (2022)
Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
Improving Policy Learning via Language Dynamics Distillation. NeurIPS (2022)
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
Improving Intrinsic Exploration with Language Abstractions. NeurIPS (2022)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR (2022)
Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
Improving Intrinsic Exploration with Language Abstractions. CoRR (2022)
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, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR (2022)
Machel Reid, Victor Zhong
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. CoRR (2021)
Machel Reid, Victor Zhong
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS (2021)
Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR (2021)
Austin W. Hanjie, Victor Zhong, Karthik Narasimhan
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML (2021)
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
RTFM: Generalising to New Environment Dynamics via Reading. ICLR (2020)
Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR (2020)
Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) (2020)
Victor Zhong, Luke Zettlemoyer
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. CoRR (2019)
Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR (2019)
Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) (2019)
Victor Zhong, Tim Rocktäschel, Edward Grefenstette
RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR (2019)
Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) (2019)
Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR (2019)
Victor Zhong, Luke Zettlemoyer
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. ACL (1) (2019)
Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) (2018)
Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
Efficient and Robust Question Answering from Minimal Context over Documents. CoRR (2018)
Victor Zhong, Caiming Xiong, Richard Socher
Global-Locally Self-Attentive Dialogue State Tracker. CoRR (2018)
Victor Zhong, Caiming Xiong, Richard Socher
Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) (2018)
Caiming Xiong, Victor Zhong, Richard Socher
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) (2018)
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning
Position-aware Attention and Supervised Data Improve Slot Filling. EMNLP (2017)
Caiming Xiong, Victor Zhong, Richard Socher
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR (2017)
Victor Zhong, Caiming Xiong, Richard Socher
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR (2017)
Caiming Xiong, Victor Zhong, Richard Socher
Dynamic Coattention Networks For Question Answering. ICLR (Poster) (2017)
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML (2016)
Caiming Xiong, Victor Zhong, Richard Socher
Dynamic Coattention Networks For Question Answering. CoRR (2016)
Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning
Bootstrapped Self Training for Knowledge Base Population. TAC (2015)