Tao Yu (余涛)
Assistant Professor
Department of Computer Science
Musketeers Foundation Institute of Data Science
The University of Hong Kong
tao.yu.nlp [AT] gmail.com
Bio
Tao Yu is an Assistant Professor of Computer Science at The University of Hong Kong and a director of the XLANG Lab (as part of the HKU NLP Group). He spent one year in the UW NLP Group working with Noah Smith, Luke Zettlemoyer, and Mari Ostendorf. He completed his Ph.D. in Computer Science from Yale University, advised by Dragomir Radev and master's at Columbia University advised by Owen Rambow and Kathleen McKeown.
Tao has received the Google and Amazon faculty research awards (Google Research Scholar Award 2023, Amazon Research Award 2022). His main research interest is in Natural Language Processing. His research aims to build language model agents that transform (“grounding”) language instructions into code or actions executable in real-world environments, including databases, web applications, and the physical world etc,. It lies at the heart of the next generation of natural language interfaces that can interact with and learn from these real-world environments to facilitate human interaction with data analysis, web applications, and robotic instruction through conversation. It involves:
- Executable Language Grounding: LLM + Code + Robotics + RL - Text2Reward; LLM + Tool Use - Binder (ICLR 2023); Semantic Parsing and Code Generation - DS-1000 (ICML 2023), Spider (EMNLP 2018), Coder-Reviewer Reranking (ICML 2023), Test Suite Eval (EMNLP 2020); Structured Knowledge Grounding - UnifiedSKG (EMNLP 2022)
- Large Language Models: LLM as Agents - OpenAgents, Lemur Agent LLMs; Embeddings and RAG - Instructor (ACL Findings 2023); Efficient LLM - Selective Annotation (ICLR 2023), ZeroGen (EMNLP 2022), GraPPa (ICLR 2021)
- Dialog and Interactive Systems: ICL-DST (EMNLP Findings 2022), SParC (ACL 2019), CoSQL (EMNLP 2019), NL2Interface (NLVIZ 2022)
We are actively looking for strong and motivated students to join our group! If you are interested in working with us, please read recent papers, fill in the form with thoughts on extensions. Sorry, I'm afraid I generally can't respond to all individual emails.
Publications
Most recent publications on Google Scholar.
* indicates equal contribution.
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
NeurIPS 2024, ~1.5k GitHub stars
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
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
Preprint 2024
Attacking Vision-Language Computer Agents via Pop-ups
Yanzhe Zhang, Tao Yu, Diyi Yang
Preprint 2024
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O. Arik, Danqi Chen, Tao Yu
Preprint 2024
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
Preprint 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
NeurIPS 2024, Spotlight
OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie*, Fan Zhou*, Zhoujun Cheng*, Peng Shi*, Luoxuan Weng*, Yitao Liu*, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu
COLM 2024, ~4k GitHub stars
Lemur: Harmonizing Natural Language and Code for Language Agents
Yiheng Xu*, Hongjin Su*, Chen Xing*, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
ICLR 2024, Spotlight
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
ICLR 2024, Spotlight
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su*, Weijia Shi*, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A Smith, Luke Zettlemoyer, Tao Yu
ACL Findings 2023, ~4.5M downloads on HuggingFace, ~2k GitHub stars
Coder Reviewer Reranking for Code Generation
Tianyi Zhang, Tao Yu, Tatsunori B Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I Wang
ICML 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Yuhang Lai*, Chengxi Li*, Yiming Wang*, Tianyi Zhang*, Ruiqi Zhong*, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida Wang, Tao Yu
ICML 2023
Binding Language Models in Symbolic Languages
Zhoujun Cheng*, Tianbao Xie*, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A Smith, Tao Yu
ICLR 2023, Spotlight
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
ICLR 2023
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 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
EMNLP 2022, Oral
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf
EMNLP Findings 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye*, Jiahui Gao*, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
EMNLP 2022
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong
ICLR 2021
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
Ruiqi Zhong, Tao Yu, Dan Klein
EMNLP 2020
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang and Dragomir Radev
EMNLP 2018, ~300 submissions, ~1k Github stars
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
NeurIPS 2024, ~1.5k GitHub stars
Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
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
Preprint 2024
Attacking Vision-Language Computer Agents via Pop-ups
Yanzhe Zhang, Tao Yu, Diyi Yang
Preprint 2024
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan O. Arik, Danqi Chen, Tao Yu
Preprint 2024
Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela
Preprint 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
NeurIPS 2024, Spotlight
OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie*, Fan Zhou*, Zhoujun Cheng*, Peng Shi*, Luoxuan Weng*, Yitao Liu*, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu
COLM 2024, ~4k GitHub stars
Does Collaborative Human-LM Dialogue Generation Help Information Extraction from Human Dialogues?
Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf
EMNLP 2024, Findings
EvoR: Evolving Retrieval for Code Generation
Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu
COLM 2024
Lemur: Harmonizing Natural Language and Code for Language Agents
Yiheng Xu*, Hongjin Su*, Chen Xing*, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
ICLR 2024, Spotlight
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
ICLR 2024, Spotlight
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su*, Weijia Shi*, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A Smith, Luke Zettlemoyer, Tao Yu
ACL Findings 2023, ~4.5M downloads on HuggingFace, ~2k GitHub stars
Coder Reviewer Reranking for Code Generation
Tianyi Zhang, Tao Yu, Tatsunori B Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I Wang
ICML 2023
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Yuhang Lai*, Chengxi Li*, Yiming Wang*, Tianyi Zhang*, Ruiqi Zhong*, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida Wang, Tao Yu
ICML 2023
Compositional Exemplars for In-context Learning
Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, and Lingpeng Kong
ICML 2023
Binding Language Models in Symbolic Languages
Zhoujun Cheng*, Tianbao Xie*, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A Smith, Tao Yu
ICLR 2023, Spotlight
Selective Annotation Makes Language Models Better Few-Shot Learners
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
ICLR 2023
Automated Self-Supervised Learning for Recommendation
Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao
WWW 2023
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 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
EMNLP 2022, Oral
In-Context Learning for Few-Shot Dialogue State Tracking
Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf
EMNLP Findings 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Jiacheng Ye*, Jiahui Gao*, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong
EMNLP 2022
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback
Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, and Lingpeng Kong
EMNLP Findings 2022
Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play
Qi Liu, Zihuiwen Ye, Tao Yu, Phil Blunsom, Linfeng Song
EMNLP Findings 2022
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries
Yiru Chen, Ryan Li, Austin Mac, Tianbao Xie, Tao Yu, Eugene Wu
IEEE Visualization Conference NLVIZ Workshop, 2022
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
with the BIG-bench team (442 authors)
TMLR 2023
FOLIO: Natural Language Reasoning with First-Order Logic
with Simeng Han, Rui Zhang, Alexander R Fabbri, Xi Victoria Lin, Caiming Xiong, Dragomir Radev and many authors
Preprint, 2022
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization
Ziming Mao*, Chen Henry Wu*, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed H Awadallah, Dragomir Radev
ACL 2022
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next
Yusen Zhang*, Ansong Ni*, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir Radev
EMNLP Findings 2021, Short Paper
SummerTime: Text Summarization Toolkit for Non-experts
Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir Radev
EMNLP 2021. Demo Track
Testing Cross-Database Semantic Parsers Using Canonical Utterances
Heather Lent, Semih Yavuz, Tao Yu, Tong Niu, Yingbo Zhou, Dragomir Radev, Xi Victoria Lin
EMNLP 2021 Workshop: Evaluation & Comparison of NLP Systems. Best Paper Award
Logic-Consistency Text Generation from Semantic Parses
Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang
ACL Findings 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Ming Zhong*, Da Yin*, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu and Dragomir Radev
NAACL 2021
DART: Open-Domain Structured Data Record to Text Generation
with Linyong Nan, Dragomir Radev, Rui Zhang, Neha Verma, Xi Victoria Lin, Caiming Xiong, Richard Socher and many authors.
NAACL 2021
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah
ICLR 2021
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong
ICLR 2021
Semantic Evaluation for Text-to-SQL with Distilled Test Suites
Ruiqi Zhong, Tao Yu, Dan Klein
EMNLP 2020
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL
Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, Rui Zhang
EMNLP 2020 Workshop on Interactive and Executable Semantic Parsing. Short Paper
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
Tao Yu, Rui Zhang He Yang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter Lasecki, Dragomir Radev
EMNLP 2019
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions
Rui Zhang, Tao Yu, He Yang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir Radev
EMNLP 2019
SParC: Cross-Domain Semantic Parsing in Context
Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher and Dragomir Radev
ACL 2019
Twitter Sentiment in New York City Parks as Measure of Well-being
Richard A Plunz, Yijia Zhou, Maria Isabel Carrasco Vintimilla, Kathleen Mckeown, Tao Yu, Laura Uguccioni, Maria Paola Sutto
Landscape and Urban Planning 2019
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang and Dragomir Radev
EMNLP 2018, ~300 submissions, ~1k Github stars
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task
Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li and Dragomir Radev
EMNLP 2018
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation
Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir Radev
NAACL 2018, Short Paper
Cross-lingual Sentiment Transfer with Limited Resources
Mohammad Sadegh Rasooli, Noura Farra, Axinia Radeva, Tao Yu, and Kathleen McKeown
Machine Translation 2017
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation
Owen Rambow, Tao Yu, Axinia Radeva, Sardar Hamidian, Alexander R. Fabbri, Debanjan Ghosh, Christopher Hidey, Tianrui Peng, Mona Diab, Kathleen McKeown, Smaranda Muresan
NIST TAC KBP Workshop, 2016
Talks and Presentations
Invited Speaker, Workshop on Open-World Agents,
NeurIPS 2024
Invited Panelist, Workshop on LLM Agents,
ICLR 2024
Advancing Natural Language Interfaces with Language Models as Agents,
Columbia NLP seminar, April 2023
Cornell DB seminar, May 2023
Microsoft Research Asia, May 2023
Apple KP Tech Talks, June 2023
Keynote at VLDB 2023 1st International Workshop on Databases and Large Language Models, Sept. 2023
AI NEW HORIZONS 2023: A Symposium with Scientific Leaders, Nov. 2023
Morgan Stanley ML Speaker Seminar, Dec. 2023
MILA ML4Code Seminar, Dec. 2023
2nd Table Representation Learning Workshop at NeurIPS 2023, Dec. 2023
Instacart Distinguished Speaker Series, Jan. 2024
Neuro-Symbolic Approaches: Large Language Models + Tool Use,
ACL 2023 Tutorial on Complex Reasoning over Natural Language, July 2023
Building Natural Language Interfaces with Large Language Models,
Amazon AWS, Nov. 2022
Few-shot In-context Learning with Large Language Models,
AllState Tech Talks, Jun. 2022
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models,
ServiceNow Research (Prev. ElementAI), Feb. 2022
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing,
Google Research, Apr. 2021
Students
Tianbao Xie, Ph.D. student, 2022
Hongjin Su, Ph.D. student, 2022
Yiheng Xu, Ph.D. student, 2022, co-advised with Lingpeng Kong
Jiacheng Ye, Ph.D. student, 2022, co-advised with Lingpeng Kong
Zhoujun Cheng, Intern, 2022, SJTU BS/MS
Fan Zhou, Intern, 2023, SJTU BS/MS
Leo Liu, Intern, 2023, UW BS/MS → UT Austin PhD
Chen Henry Wu, Intern, 2022, Tsinghua BS → CMU PhD
Ryan Li, Intern, 2022, UW BS → Stanford MS
Chengzu Li, Intern, 2022, Xi'an Jiaotong BS → Cambridge PhD
Shuyang Jiang, Intern, 2023, SJTU BS → Fudan PhD
Yiming Wang, Intern, 2022, PKU BS → Harvard MS
Yuhang Lai, Intern, 2022, BIT BS → Fudan MS
Chengxi Li, Intern, 2022, HIT BS
Ming Zhong, Summer Intern, 2020, Fudan MS → UIUC PhD
Da Yin, Summer Intern, 2020, PKU BS → UCLA PhD
Naihao Deng, Summer Intern, 2020, UMich BS → UMich PhD
Yusen Zhang, Summer Intern, 2020, Emory MS → PSU PhD
Michihiro Yasunaga, Project Student, 2018-19, Yale BS → Stanford PhD
Teaching
DATA8005: Advanced NLP, Fall 2023, Fall 2024
COMP3361: Natural Language Processing, Spring 2024
Service
Organizing Committee
ACL 2023
SUKI: Structured and Unstructured Knowledge Integration Workshop@NAACL 2022
IntEx-SemPar: Interactive and Executable Semantic Parsing Workshop@EMNLP 2020
Program Committee/Reviewer
Nature
TACL
ACL Rolling Review
ACL: 2020, 2021, 2022
EMNLP: 2019, 2020, 2021, 2022
ICLR: 2022,
ICML: 2023
NeurIPS: 2022
NAACL: 2019, 2021
COLING: 2020, 2022
AACL-IJCNLP: 2020
Resume
Full Resume in PDF.
-
The University of Hong Kong 08/2021 - nowAssistant Professor, CS
HKU NLP group -
University of Washington 09/2021 - 08/2022Postdoc in UW NLP group
Host: Noah Smith, also working with Luke Zettlemoyer and Mari Ostendorf -
Yale University 2017 - 2021Ph.D. Student
Computer Science - Natural Language Processing
Advisors: Dragomir R. Radev
Committee: Kathleen McKeown, Luke Zettlemoyer, Robert Frank, Marynel Vázquez -
Microsoft Research Summer 2020NLP Research, Intern
Mentors: Ahmed Hassan Awadallah, Oleksandr Polozov, and Chris Meek -
Salesforce Research Summer 2019NLP Research, Intern
Mentors: Victoria Lin and Caiming Xiong -
Samsung Research America Summer 2018NLP Research, Intern
-
Columbia CCLS & NLP Group 05-10/2016Research Assistant
Advised by Owen Rambow and Kathleen McKeown -
Columbia University 2015 – 2017M.S. Student
Data Science -
University of Utah 2012 - 2015B.S. Student
Mathematics
Economics
Misc.
I did a cycling tour (~2 weeks) at the top of the world, Tibet (avg elevation: ~4500 meters). I am also a student pilot. I enjoy hiking, travelling, and cooking. I ski and skate, and I am learning tennis.
I am from Ningdu (a less developed but beautiful county), Jiangxi Province in China. I’ve lived in (stay for over 3 months) about 20 cities including Zhongshan, Beijing, Shanghai, Salt Lake City, New York City, San Francisco, New Haven, Columbus, Honolulu, San Diego, Seattle, and Hong Kong etc. I've also visited over 60 cities around the world.
