Ming-Wei Chang

According to our database1, Ming-Wei Chang authored at least 97 papers between 2002 and 2024.

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Bibliography

2024
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities.
CoRR, 2024

Imagen 3.
CoRR, 2024

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
CoRR, 2024

Gecko: Versatile Text Embeddings Distilled from Large Language Models.
CoRR, 2024

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Instruct-Imagen: Image Generation with Multi-modal Instruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval.
CoRR, 2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Subject-driven Text-to-Image Generation via Apprenticeship Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding.
Proceedings of the International Conference on Machine Learning, 2023

Promptagator: Few-shot Dense Retrieval From 8 Examples.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
FRUIT: Faithfully Reflecting Updated Information in Text.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

ASQA: Factoid Questions Meet Long-Form Answers.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Large Dual Encoders Are Generalizable Retrievers.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Meta-Learning Fast Weight Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer.
CoRR, 2021

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations.
CoRR, 2021

Open Question Answering over Tables and Text.
Proceedings of the 9th International Conference on Learning Representations, 2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
CapWAP: Captioning with a Purpose.
CoRR, 2020

REALM: Retrieval-Augmented Language Model Pre-Training.
CoRR, 2020

Retrieval Augmented Language Model Pre-Training.
Proceedings of the 37th International Conference on Machine Learning, 2020

CapWAP: Image Captioning with a Purpose.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Natural Questions: a Benchmark for Question Answering Research.
Trans. Assoc. Comput. Linguistics, 2019

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation.
CoRR, 2019

Language Model Pre-training for Hierarchical Document Representations.
CoRR, 2019

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Zero-Shot Entity Linking by Reading Entity Descriptions.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Latent Retrieval for Weakly Supervised Open Domain Question Answering.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data.
CoRR, 2018

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

A Knowledge-Grounded Neural Conversation Model.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion.
Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Search-based Neural Structured Learning for Sequential Question Answering.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory.
CoRR, 2016

Answering Complicated Question Intents Expressed in Decomposed Question Sequences.
CoRR, 2016

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks.
Proceedings of the 2nd Workshop on Noisy User-generated Text, 2016

The Value of Semantic Parse Labeling for Knowledge Base Question Answering.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
IllinoisSL: A JAVA Library for Structured Prediction.
CoRR, 2015

Open Domain Question Answering via Semantic Enrichment.
Proceedings of the 24th International Conference on World Wide Web, 2015

Placer++: Semantic place labels beyond the visit.
Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communications, 2015

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Entity Linking on Microblogs with Spatial and Temporal Signals.
Trans. Assoc. Comput. Linguistics, 2014

ERD'14: Entity Recognition and Disambiguation Challenge.
SIGIR Forum, 2014

Modeling action-level satisfaction for search task satisfaction prediction.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Segmentation based stereo matching using color grouping.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2014

E2E: An End-to-End Entity Linking System for Short and Noisy Text.
Proceedings of the the 4th Workshop on Making Sense of Microposts co-located with the 23rd International World Wide Web Conference (WWW 2014), 2014

Virtual keyboard for head mounted display-based wearable devices.
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014

Wikification and Beyond: The Challenges of Entity and Concept Grounding.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction.
Trans. Assoc. Comput. Linguistics, 2013

Learning to extract cross-session search tasks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Personalized ranking model adaptation for web search.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Question Answering Using Enhanced Lexical Semantic Models.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Structured learning with constrained conditional models.
Mach. Learn., 2012

Unified Expectation Maximization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

Learning shared body plans.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Structured prediction with indirect supervision
PhD thesis, 2011

Structured prediction with indirect supervision.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

2010
Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System.
IEEE Trans. Syst. Man Cybern. Part A, 2010

Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device.
J. Medical Syst., 2010

Discriminative Learning over Constrained Latent Representations.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Structured Output Learning with Indirect Supervision.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

The Necessity of Combining Adaptation Methods.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Driving Semantic Parsing from the World's Response.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

2009
Relation Alignment for Textual Entailment Recognition.
Proceedings of the Second Text Analysis Conference, 2009

Unsupervised Constraint Driven Learning For Transliteration Discovery.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Implementation and Optimization of DSP Suspend Resume on Dual-Core SOC.
Proceedings of the International Conference on Embedded Software and Systems, 2009

2008
Energy-Efficient Real-Time Co-scheduling of Multimedia DSP Jobs.
Proceedings of the IEEE International Conference on Sensor Networks, 2008

Partitioned logistic regression for spam filtering.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Personalized Spam Filtering for Gray Mail.
Proceedings of the CEAS 2008, 2008

Importance of Semantic Representation: Dataless Classification.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Learning and Inference with Constraints.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Fabrication and characterization of a microelectromechanical tunable capacitor.
Microelectron. J., 2007

Modeling and fabrication of a microelectromechanical microwave switch.
Microelectron. J., 2007

Simulation and fabrication of HF microelectromechanical bandpass filter.
Microelectron. J., 2007

Guiding Semi-Supervision with Constraint-Driven Learning.
Proceedings of the ACL 2007, 2007

2006
A Pipeline Model for Bottom-Up Dependency Parsing.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

A Pipeline Framework for Dependency Parsing.
Proceedings of the ACL 2006, 2006

2005
Leave-One-Out Bounds for Support Vector Regression Model Selection.
Neural Comput., 2005

2004
Analysis of switching dynamics with competing support vector machines.
IEEE Trans. Neural Networks, 2004

2002
Analysis of Nonstationary Time Series Using Support Vector Machines.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002


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