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Victor Zhong
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2020 – today
- 2024
- [c21]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 - [i23]Victor Zhong, Dipendra Misra, Xingdi Yuan, Marc-Alexandre Côté:
Policy Improvement using Language Feedback Models. CoRR abs/2402.07876 (2024) - [i22]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 abs/2404.07972 (2024) - [i21]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 abs/2407.10956 (2024) - 2023
- [c20]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: 9802-9822 - [c19]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. EMNLP (Findings) 2023: 7055-7067 - [i20]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 abs/2309.11489 (2023) - 2022
- [c18]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: 602-631 - [c17]Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer:
M2D2: A Massively Multi-Domain Language Modeling Dataset. EMNLP 2022: 964-975 - [c16]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. NeurIPS 2022 - [c15]Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel:
Improving Policy Learning via Language Dynamics Distillation. NeurIPS 2022 - [i19]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 abs/2201.05966 (2022) - [i18]Jesse Mu, Victor Zhong, Roberta Raileanu, Minqi Jiang, Noah D. Goodman, Tim Rocktäschel, Edward Grefenstette:
Improving Intrinsic Exploration with Language Abstractions. CoRR abs/2202.08938 (2022) - [i17]Victor Zhong, Jesse Mu, Luke Zettlemoyer, Edward Grefenstette, Tim Rocktäschel:
Improving Policy Learning via Language Dynamics Distillation. CoRR abs/2210.00066 (2022) - [i16]Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer:
M2D2: A Massively Multi-domain Language Modeling Dataset. CoRR abs/2210.07370 (2022) - [i15]Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer:
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. CoRR abs/2210.14353 (2022) - [i14]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 abs/2212.10511 (2022) - 2021
- [c14]Machel Reid, Victor Zhong:
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) 2021: 3932-3944 - [c13]Austin W. Hanjie, Victor Zhong, Karthik Narasimhan:
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning. ICML 2021: 4051-4062 - [c12]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. NeurIPS 2021: 21505-21519 - [i13]Machel Reid, Victor Zhong:
LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer. CoRR abs/2105.08206 (2021) - [i12]Victor Zhong, Austin W. Hanjie, Sida I. Wang, Karthik Narasimhan, Luke Zettlemoyer:
SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark. CoRR abs/2110.10661 (2021) - 2020
- [c11]Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer:
Grounded Adaptation for Zero-shot Executable Semantic Parsing. EMNLP (1) 2020: 6869-6882 - [c10]Victor Zhong, Tim Rocktäschel, Edward Grefenstette:
RTFM: Generalising to New Environment Dynamics via Reading. ICLR 2020 - [i11]Victor Zhong, Mike Lewis, Sida I. Wang, Luke Zettlemoyer:
Grounded Adaptation for Zero-shot Executable Semantic Parsing. CoRR abs/2009.07396 (2020)
2010 – 2019
- 2019
- [c9]Victor Zhong, Luke Zettlemoyer:
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. ACL (1) 2019: 2310-2320 - [c8]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. ACL (1) 2019: 6097-6109 - [c7]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) 2019 - [i10]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR abs/1901.00603 (2019) - [i9]Sewon Min, Victor Zhong, Luke Zettlemoyer, Hannaneh Hajishirzi:
Multi-hop Reading Comprehension through Question Decomposition and Rescoring. CoRR abs/1906.02916 (2019) - [i8]Victor Zhong, Luke Zettlemoyer:
E3: Entailment-driven Extracting and Editing for Conversational Machine Reading. CoRR abs/1906.05373 (2019) - [i7]Victor Zhong, Tim Rocktäschel, Edward Grefenstette:
RTFM: Generalising to Novel Environment Dynamics via Reading. CoRR abs/1910.08210 (2019) - 2018
- [c6]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) 2018: 1458-1467 - [c5]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) 2018: 1725-1735 - [c4]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) 2018 - [i6]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. CoRR abs/1805.08092 (2018) - [i5]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Dialogue State Tracker. CoRR abs/1805.09655 (2018) - 2017
- [c3]Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, Christopher D. Manning:
Position-aware Attention and Supervised Data Improve Slot Filling. EMNLP 2017: 35-45 - [c2]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. ICLR (Poster) 2017 - [i4]Victor Zhong, Caiming Xiong, Richard Socher:
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR abs/1709.00103 (2017) - [i3]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR abs/1711.00106 (2017) - 2016
- [c1]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: 1378-1387 - [i2]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. CoRR abs/1611.01604 (2016) - 2015
- [i1]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
Coauthor Index
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last updated on 2024-08-27 21:59 CEST by the dblp team
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