Ming-Wei Chang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 74

Top Venues

CoRR

EMNLP

ACL (1)

NeurIPS

Publications

Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang
MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. CoRR (2024)
Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR (2024)
Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia
Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR (2024)
Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR (2024)
Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? EMNLP (2023)
Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR (2023)
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR (2023)
Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. NeurIPS (2023)
Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR (2023)
Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML (2023)
Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR (2023)
Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? CoRR (2023)
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS (2023)
Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS (2023)
Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR (2023)
Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. CoRR (2023)
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. ACL (1) (2023)
Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang
ASQA: Factoid Questions Meet Long-Form Answers. EMNLP (2022)
Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR (2022)
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Abrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang
Large Dual Encoders Are Generalizable Retrievers. EMNLP (2022)
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
Meta-Learning Fast Weight Language Models. EMNLP (2022)
Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR (2022)
Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
Meta-Learning Fast Weight Language Models. CoRR (2022)
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT (2022)
Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang
ASQA: Factoid Questions Meet Long-Form Answers. CoRR (2022)
Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
FRUIT: Faithfully Reflecting Updated Information in Text. CoRR (2021)
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
Open Question Answering over Tables and Text. ICLR (2021)
Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR (2021)
Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR (2021)
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang
Large Dual Encoders Are Generalizable Retrievers. CoRR (2021)
Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) (2021)
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? ACL/IJCNLP (1) (2021)
Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR (2021)
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. CoRR (2020)
Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. ACL (2020)
Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
CapWAP: Image Captioning with a Purpose. EMNLP (1) (2020)
Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee
Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. ACL (2020)
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
REALM: Retrieval-Augmented Language Model Pre-Training. CoRR (2020)
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? CoRR (2020)
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
Open Question Answering over Tables and Text. CoRR (2020)
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
Retrieval Augmented Language Model Pre-Training. ICML (2020)
Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
CapWAP: Captioning with a Purpose. CoRR (2020)
Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) (2019)
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) (2019)
Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR (2019)
Kenton Lee, Ming-Wei Chang, Kristina Toutanova
Latent Retrieval for Weakly Supervised Open Domain Question Answering. CoRR (2019)
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7 (2019)
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) (2019)
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT (1) (2019)
Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin
Language Model Pre-training for Hierarchical Document Representations. CoRR (2019)
Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. CoRR (2019)
Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR (2019)
Kenton Lee, Ming-Wei Chang, Kristina Toutanova
Latent Retrieval for Weakly Supervised Open Domain Question Answering. ACL (1) (2019)
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR (2019)
Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR (2018)
Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR (2018)
Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP (2018)
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
A Knowledge-Grounded Neural Conversation Model. AAAI (2018)
Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova
Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR (2018)
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL (2017)
Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
A Knowledge-Grounded Neural Conversation Model. CoRR (2017)
Haoruo Peng, Ming-Wei Chang, Wen-tau Yih
Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP (2017)
Shyam Upadhyay, Ming-Wei Chang
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. EACL (1) (2017)
Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) (2017)
Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR (2016)
Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR (2016)
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. EMNLP (2016)
Ming-Wei Chang
From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks. NUT@COLING (2016)
Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) (2016)
Yi Yang, Ming-Wei Chang, Jacob Eisenstein
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. CoRR (2016)
Shyam Upadhyay, Ming-Wei Chang
Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. CoRR (2016)
Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP (2016)
Yi Yang, Ming-Wei Chang
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. CoRR (2016)
Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth
IllinoisSL: A JAVA Library for Structured Prediction. CoRR (2015)
Yi Yang, Ming-Wei Chang
S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. ACL (1) (2015)
Arvind Neelakantan, Ming-Wei Chang
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. CoRR (2015)
Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) (2015)
John Krumm, Dany Rouhana, Ming-Wei Chang
Placer++: Semantic place labels beyond the visit. PerCom (2015)
Arvind Neelakantan, Ming-Wei Chang
Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. HLT-NAACL (2015)
Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang
Open Domain Question Answering via Semantic Enrichment. WWW (2015)
Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang
E2E: An End-to-End Entity Linking System for Short and Noisy Text. #MSM (2014)
Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy
Wikification and Beyond: The Challenges of Entity and Concept Grounding. ACL (Tutorial Abstracts) (2014)
David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang
ERD'14: entity recognition and disambiguation challenge. SIGIR (2014)
Ming-Wei Chang, Tzi-cker Chiueh, Chia-Ming Chang
Virtual keyboard for head mounted display-based wearable devices. ICPADS (2014)
David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang
ERD'14: Entity Recognition and Disambiguation Challenge. SIGIR Forum 48 (2) (2014)
Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White
Modeling action-level satisfaction for search task satisfaction prediction. SIGIR (2014)
Yuan Fang, Ming-Wei Chang
Entity Linking on Microblogs with Spatial and Temporal Signals. Trans. Assoc. Comput. Linguistics 2 (2014)
Hsin-Wei Wang, Ming-Wei Chang, Hong Shiang Lin, Ming Ouhyoung
Segmentation based stereo matching using color grouping. SIGGRAPH Posters (2014)
Stephen Guo, Ming-Wei Chang, Emre Kiciman
To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL (2013)
Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu
Personalized ranking model adaptation for web search. SIGIR (2013)
Ming-Wei Chang, Wen-tau Yih
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. Trans. Assoc. Comput. Linguistics 1 (2013)
Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak
Question Answering Using Enhanced Lexical Semantic Models. ACL (1) (2013)
Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu
Learning to extract cross-session search tasks. WWW (2013)
Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem
Learning shared body plans. CVPR (2012)
Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth
Structured learning with constrained conditional models. Mach. Learn. 88 (3) (2012)
Rajhans Samdani, Ming-Wei Chang, Dan Roth
Unified Expectation Maximization. HLT-NAACL (2012)
Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth
Structured prediction with indirect supervision. MLSLP (2011)
Ching-En Tseng, Jia-Yush Yen, Ming-Wei Chang, Wei-Chien Chang, Chih-Kung Lee
Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System. IEEE Trans. Syst. Man Cybern. Part A 40 (3) (2010)
Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar
Discriminative Learning over Constrained Latent Representations. HLT-NAACL (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ming-Wei Chang