Ming-Wei Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
16
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | LOFT: Scalable and More Realistic Long-Context Evaluation. | Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sbastien 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 |
| 2024 | CVPR | Instruct-Imagen: Image Generation with Multi-modal Instruction. | 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 |
| 2024 | ICML | MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. | Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang |
| 2023 | ACL | QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. | Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
| 2023 | EMNLP | Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? | Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang |
| 2023 | ICCV | Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. | Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang |
| 2023 | ICLR | Promptagator: Few-shot Dense Retrieval From 8 Examples. | Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang |
| 2023 | ICML | Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. | Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova |
| 2022 | EMNLP | Meta-Learning Fast Weight Language Models. | Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi |
| 2022 | EMNLP | Large Dual Encoders Are Generalizable Retrievers. | Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernndez brego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang |
| 2022 | EMNLP | ASQA: Factoid Questions Meet Long-Form Answers. | Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang |
| 2022 | NAACL | FRUIT: Faithfully Reflecting Updated Information in Text. | Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang |
| 2021 | ACL | Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? | Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova |
| 2021 | EMNLP | Joint Passage Ranking for Diverse Multi-Answer Retrieval. | Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi |
| 2021 | ICLR | Open Question Answering over Tables and Text. | Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen |
| 2020 | ACL | Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. | Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
| 2020 | ACL | Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. | Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee |
| 2020 | EMNLP | CapWAP: Image Captioning with a Purpose. | Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay |
| 2020 | ICML | Retrieval Augmented Language Model Pre-Training. | Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang |
| 2019 | ACL | Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. | Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen |
| 2019 | ACL | Latent Retrieval for Weakly Supervised Open Domain Question Answering. | Kenton Lee, Ming-Wei Chang, Kristina Toutanova |
| 2019 | ACL | Zero-Shot Entity Linking by Reading Entity Descriptions. | Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee |
| 2019 | NAACL | BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. | Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova |
| 2019 | NAACL | BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. | Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
| 2018 | AAAI | A Knowledge-Grounded Neural Conversation Model. | Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley |
| 2018 | EMNLP | Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. | Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih |
| 2017 | ACL | Search-based Neural Structured Learning for Sequential Question Answering. | Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang |
| 2017 | EACL | Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. | Shyam Upadhyay, Ming-Wei Chang |
| 2017 | EMNLP | Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. | Haoruo Peng, Ming-Wei Chang, Wen-tau Yih |
| 2016 | ACL | The Value of Semantic Parse Labeling for Knowledge Base Question Answering. | Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh |
| 2016 | EMNLP | Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. | Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih |
| 2016 | EMNLP | Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. | Yi Yang, Ming-Wei Chang, Jacob Eisenstein |
| 2015 | ACL | S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. | Yi Yang, Ming-Wei Chang |
| 2015 | ACL | Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. | Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao |
| 2015 | NAACL | Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. | Arvind Neelakantan, Ming-Wei Chang |
| 2015 | PERCOM | Placer++: Semantic place labels beyond the visit. | John Krumm, Dany Rouhana, Ming-Wei Chang |
| 2015 | WWW | Open Domain Question Answering via Semantic Enrichment. | Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang |
| 2014 | ACL | Wikification and Beyond: The Challenges of Entity and Concept Grounding. | Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy |
| 2014 | ICPADS | Virtual keyboard for head mounted display-based wearable devices. | Ming-Wei Chang, Tzi-cker Chiueh, Chia-Ming Chang |
| 2014 | SIGGRAPH | Segmentation based stereo matching using color grouping. | Hsin-Wei Wang, Ming-Wei Chang, Hong Shiang Lin, Ming Ouhyoung |
| 2014 | SIGIR | ERD'14: entity recognition and disambiguation challenge. | David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang |
| 2014 | SIGIR | Modeling action-level satisfaction for search task satisfaction prediction. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White |
| 2013 | ACL | Question Answering Using Enhanced Lexical Semantic Models. | Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak |
| 2013 | NAACL | To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. | Stephen D. Guo, Ming-Wei Chang, Emre Kiciman |
| 2013 | WWW | Learning to extract cross-session search tasks. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu |
| 2013 | SIGIR | Personalized ranking model adaptation for web search. | Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu |
| 2012 | CVPR | Learning shared body plans. | Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem |
| 2012 | NAACL | Unified Expectation Maximization. | Rajhans Samdani, Ming-Wei Chang, Dan Roth |
| 2010 | CoNLL | Driving Semantic Parsing from the World's Response. | James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth |
| 2010 | EMNLP | The Necessity of Combining Adaptation Methods. | Ming-Wei Chang, Michael Connor, Dan Roth |
| 2010 | ICML | Structured Output Learning with Indirect Supervision. | Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth |
| 2010 | NAACL | Discriminative Learning over Constrained Latent Representations. | Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar |
| 2009 | NAACL | Unsupervised Constraint Driven Learning For Transliteration Discovery. | Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu |
| 2008 | AAAI | Learning and Inference with Constraints. | Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth |
| 2008 | AAAI | Importance of Semantic Representation: Dataless Classification. | Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar |
| 2008 | KDD | Partitioned logistic regression for spam filtering. | Ming-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2007 | ACL | Guiding Semi-Supervision with Constraint-Driven Learning. | Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth |
| 2006 | ACL | A Pipeline Framework for Dependency Parsing. | Ming-Wei Chang, Quang Do, Dan Roth |
| 2006 | CoNLL | A Pipeline Model for Bottom-Up Dependency Parsing. | Ming-Wei Chang, Quang Do, Dan Roth |