Victor Zhong - RankMe

59 papers A* 14A 1Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentIR: Reasoning-Aware Retrieval for Deep Research Agents. CoRR Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai, Victor Zhong
2026	A	`conf`	DSCode Comparator: An Interactive Interface for Comparing Models and Evaluating Code for Data Science Tasks. IUI Xinxin Yu, Victor Zhong, Anamaria Crisan
2025	J	`jnl`	From Atomic to Composite: Reinforcement Learning Enables Generalization in Complementary Reasoning. CoRR Sitao Cheng, Xunjian Yin, Ruiwen Zhou, Yuxuan Li, Xinyi Wang, Liangming Pan, William Yang Wang, Victor Zhong
2025	J	`jnl`	Grounded Test-Time Adaptation for LLM Agents. CoRR Arthur Chen, Zuxin Liu, Jianguo Zhang, Akshara Prabhakar, Zhiwei Liu, Shelby Heinecke, Silvio Savarese, Victor Zhong, Caiming Xiong
2025	J	`jnl`	How well can LLMs provide planning feedback in grounded environments? CoRR Yuxuan Li, Victor Zhong
2025	J	`jnl`	ModelTables: A Corpus of Tables about Models. CoRR Zhengyuan Dong, Victor Zhong, Renée J. Miller
2025	J	`jnl`	OpenCUA: Open Foundations for Computer-Use Agents. CoRR 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, Ryan Li, Xiaochuan Li, Junda Chen, Boyuan Zheng, Peihang Li, Fangyu Lei, Ruisheng Cao, Yeqiao Fu, Dongchan Shin, Martin Shin, Jiarui Hu, Yuyan Wang, Jixuan Chen, Yuxiao Ye, Danyang Zhang, Dikang Du, Hao Hu, Huarong Chen, Zaida Zhou, Haotian Yao, Ziwei Chen, Qizheng Gu, Yipu Wang, Heng Wang, Diyi Yang, Victor Zhong, Flood Sung, Y. Charles, Zhilin Yang, Tao Yu
2025	A*	`conf`	Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. ICLR Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu
2025	J	`jnl`	SynQuE: Estimating Synthetic Dataset Quality Without Annotations. CoRR Arthur Chen, Victor Zhong
2024	A*	`conf`	OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. NeurIPS 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
2024	J	`jnl`	OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR 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
2024	A*	`conf`	Policy Improvement using Language Feedback Models. NeurIPS Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024	J	`jnl`	Policy Improvement using Language Feedback Models. CoRR Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté
2024	J	`jnl`	Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows. CoRR Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida I. Wang, Tao Yu
2024	A*	`conf`	Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? NeurIPS Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Wenjing Hu, Yuchen Mao, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida I. Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu
2024	J	`jnl`	Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR 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
2024	A*	`conf`	Text2Reward: Reward Shaping with Language Models for Reinforcement Learning. ICLR Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
2023	—	`—`	Reading to Learn Victor Zhong
2023	—	`conf`	RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2023	J	`jnl`	Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning. CoRR Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu
2023	—	`conf`	When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories. ACL (1) Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, Hannaneh Hajishirzi
2022	A*	`conf`	Improving Intrinsic Exploration with Language Abstractions. NeurIPS Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	J	`jnl`	Improving Intrinsic Exploration with Language Abstractions. CoRR Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette
2022	A*	`conf`	Improving Policy Learning via Language Dynamics Distillation. NeurIPS Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
2022	J	`jnl`	Improving Policy Learning via Language Dynamics Distillation. CoRR Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel
2022	A*	`conf`	M2D2: A Massively Multi-Domain Language Modeling Dataset. EMNLP Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
2022	J	`jnl`	M2D2: A Massively Multi-domain Language Modeling Dataset. CoRR Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer
2022	J	`jnl`	RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2022	A*	`conf`	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 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
2022	J	`jnl`	UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR 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
2022	J	`jnl`	When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories. CoRR Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Hannaneh Hajishirzi, Daniel Khashabi
2021	A*	`conf`	Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML Austin W. Hanjie, Victor Zhong, Karthik Narasimhan
2021	—	`conf`	LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) Machel Reid, Victor Zhong
2021	J	`jnl`	LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. CoRR Machel Reid, Victor Zhong
2021	A*	`conf`	SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2021	J	`jnl`	SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer
2020	—	`conf`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
2020	J	`jnl`	Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer
2020	A*	`conf`	RTFM: Generalising to New Environment Dynamics via Reading. ICLR Victor Zhong, Tim Rocktäschel, Edward Grefenstette
2019	—	`conf`	Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
2019	J	`jnl`	Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher
2019	—	`conf`	E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. ACL (1) Victor Zhong, Luke Zettlemoyer
2019	J	`jnl`	E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. CoRR Victor Zhong, Luke Zettlemoyer
2019	—	`conf`	Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
2019	J	`jnl`	Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi
2019	J	`jnl`	RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR Victor Zhong, Tim Rocktäschel, Edward Grefenstette
2018	—	`conf`	DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) Caiming Xiong, Victor Zhong, Richard Socher
2018	—	`conf`	Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	J	`jnl`	Efficient and Robust Question Answering from Minimal Context over Documents. CoRR Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong
2018	J	`jnl`	Global-Locally Self-Attentive Dialogue State Tracker. CoRR Victor Zhong, Caiming Xiong, Richard Socher
2018	—	`conf`	Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) Victor Zhong, Caiming Xiong, Richard Socher
2017	J	`jnl`	DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR Caiming Xiong, Victor Zhong, Richard Socher
2017	—	`conf`	Dynamic Coattention Networks For Question Answering. ICLR (Poster) Caiming Xiong, Victor Zhong, Richard Socher
2017	A*	`conf`	Position-aware Attention and Supervised Data Improve Slot Filling. EMNLP Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning
2017	J	`jnl`	Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR Victor Zhong, Caiming Xiong, Richard Socher
2016	A*	`conf`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. ICML Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2016	J	`jnl`	Dynamic Coattention Networks For Question Answering. CoRR Caiming Xiong, Victor Zhong, Richard Socher
2015	J	`jnl`	Ask Me Anything: Dynamic Memory Networks for Natural Language Processing. CoRR Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, Richard Socher
2015	—	`conf`	Bootstrapped Self Training for Knowledge Base Population. TAC Gabor Angeli, Victor Zhong, Danqi Chen, Arun Tejasvi Chaganty, Jason Bolton, Melvin Jose Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning