Victor Zhong

According to our database, Victor Zhong authored at least 31 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

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, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu

CoRR, 2024

Policy Improvement using Language Feedback Models.

Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté

CoRR, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering.

Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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), 2023

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

Improving Policy Learning via Language Dynamics Distillation.

Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Intrinsic Exploration with Language Abstractions.

Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 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, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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, 2022

2021

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark.

Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer

CoRR, 2021

SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark.

Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 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, 2021

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer.

Machel Reid, Victor Zhong

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

RTFM: Generalising to New Environment Dynamics via Reading.

Victor Zhong, Tim Rocktäschel, Edward Grefenstette

Proceedings of the 8th International Conference on Learning Representations, 2020

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, 2020

2019

RTFM: Generalising to Novel Environment Dynamics via Reading.

Victor Zhong, Tim Rocktäschel, Edward Grefenstette

CoRR, 2019

Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering.

Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher

Proceedings of the 7th International Conference on Learning Representations, 2019

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, 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, 2019

2018

Global-Locally Self-Attentive Dialogue State Tracker.

Victor Zhong, Caiming Xiong, Richard Socher

CoRR, 2018

DCN+: Mixed Objective And Deep Residual Coattention for Question Answering.

Caiming Xiong, Victor Zhong, Richard Socher

Proceedings of the 6th International Conference on Learning Representations, 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, 2018

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, 2018

2017

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning.

Victor Zhong, Caiming Xiong, Richard Socher

CoRR, 2017

Dynamic Coattention Networks For Question Answering.

Caiming Xiong, Victor Zhong, Richard Socher

Proceedings of the 5th International Conference on Learning Representations, 2017

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, 2017

2016

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, 2016

2015

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, 2015