Publications

For a more up to date list of my publications, please see my Google Scholar. For a list of my patents, please see here.

Policy Improvement using Language Feedback Models

Preprint 2024

Victor Zhong Dipendra Misra Xingdi Yuan Marc-Alexandre Côté

Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning

International Conference on Learning Representations 2024

Tianbao Xie Siheng Zhao Chen Henry Wu Yitao Liu Qian Luo Victor Zhong Yanchao Yang Tao Yu

BioMANIA: Simplifying bioinformatics data analysis through conversation

Preprint 2023

Zhengyuan Dong Victor Zhong Yang Young Lu

When Not to Trust Language Models: Investigating Effectiveness and Limitations of Parametric and Non-Parametric Memories

Annual Meeting of the Association for Computational Linguistics 2023

Alex Mallen Akari Asai Victor Zhong Rajarshi Das Hannaneh Hajishirzi Daniel Khashabi

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

Findings of the Conference on Empirical Methods in Natural Language Processing 2023

Victor Zhong Weijia Shi Wen-tau Yih Luke Zettlemoyer

M2D2: A Massively Multi-Domain Language Modeling Dataset

Conference on Empirical Methods in Natural Language Processing 2022

Machel Reid Victor Zhong Suchin Gururangan Luke Zettlemoyer

Improving Policy Learning via Language Dynamics Distillation

Neural Information Processing Systems 2022

Victor Zhong Jesse Mu Luke Zettlemoyer Edward Grefenstette Tim Rocktäschel

Improving Intrinsic Exploration with Language Abstractions

Neural Information Processing Systems 2022

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

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

Conference on Empirical Methods in Natural Language Processing 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

SILG: The Multi-environment Symbolic Interactive Language Grounding Benchmark

Neural Information Processing Systems 2021

Victor Zhong Austin W. Hanjie Karthik Narasimhan Luke Zettlemoyer

Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning

International Conference on Machine Learning 2021

Austin W. Hanjie Victor Zhong Karthik Narasimhan

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer

Findings of the Annual Meeting of the Association for Computational Linguistics 2021

Machel Reid Victor Zhong

Grounded Adaptation for Zero-shot Executable Semantic Parsing

Conference on Empirical Methods in Natural Language Processing 2020

Victor Zhong Mike Lewis Sida I. Wang Luke Zettlemoyer

RTFM: Generalising to Novel Environment Dynamics via Reading

International Conference on Learning Representations 2020

Victor Zhong Tim Rocktäschel Edward Grefenstette

E3: Entailment-driven Extracting and Editing for Conversational Machine Reading

Annual Meeting of the Association for Computational Linguistics 2019

Victor Zhong Luke Zettlemoyer

Multi-hop Reading Comprehension through Question Decomposition and Rescoring

Annual Meeting of the Association for Computational Linguistics 2019

Sewon Min Victor Zhong Luke Zettlemoyer Hannaneh Hajishirzi

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

International Conference on Learning Representations 2019

Victor Zhong Caiming Xiong Nitish Shirish Keskar Richard Socher

Global-Locally Self-Attentive Dialogue State Tracker

Annual Meeting of the Association for Computational Linguistics 2018

Victor Zhong Caiming Xiong Richard Socher

Efficient and Robust Question Answering from Minimal Context over Documents

Annual Meeting of the Association for Computational Linguistics 2018

Sewon Min Victor Zhong Richard Socher Caiming Xiong

DCN+: Mixed Objective and Deep Residual Coattention for Question Answering

International Conference on Learning Representations 2018

Caiming Xiong Victor Zhong Richard Socher

Position-aware Attention and Supervised Data Improve Slot Filling

Conference on Empirical Methods in Natural Language Processing 2017

Yuhao Zhang Victor Zhong Danqi Chen Gabor Angeli Christopher D. Manning

Dynamic Coattention Networks for Question Answering

International Conference on Learning Representations 2017

Caiming Xiong Victor Zhong Richard Socher

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

Preprint CoRR abs/1709.00103 2017

Victor Zhong Caiming Xiong Richard Socher

Ask Me Anything: Dynamic Memory Networks for Natural Language Processing

International Conference on Machine Learning 2016

Ankit Kumar Ozan Irsoy Jonathan Su James Bradbury Robert English Brian Pierce Peter Ondruska Ishaan Gulrajani Victor Zhong Romain Paulus Richard Socher

Bootstrapped Self Training for Knowledge Base Population

Text Analysis Conference 2015

Gabor Angeli Victor Zhong Danqi Chen Arun Chaganty Jason Bolton Melvin Johnson Premkumar Pasupat Panupong Sonal Gupta Christopher D Manning