Ming-Wei Chang

research

∙ 05/19/2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations

Formulating selective information needs results in queries that implicit...

0 Chaitanya Malaviya, et al. ∙

research

∙ 04/11/2023

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference

We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...

0 Tao Lei, et al. ∙

research

∙ 04/04/2023

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval

Multi-vector retrieval models such as ColBERT [Khattab and Zaharia, 2020...

0 Jinhyuk Lee, et al. ∙

research

∙ 04/01/2023

Subject-driven Text-to-Image Generation via Apprenticeship Learning

Recent text-to-image generation models like DreamBooth have made remarka...

0 Wenhu Chen, et al. ∙

research

∙ 02/23/2023

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Large language models have demonstrated an emergent capability in answer...

0 Yang Chen, et al. ∙

research

∙ 02/22/2023

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities

Large-scale multi-modal pre-training models such as CLIP and PaLI exhibi...

0 Hexiang Hu, et al. ∙

research

∙ 12/05/2022

Meta-Learning Fast Weight Language Models

Dynamic evaluation of language models (LMs) adapts model parameters at t...

0 Kevin Clark, et al. ∙

research

∙ 09/23/2022

Promptagator: Few-shot Dense Retrieval From 8 Examples

Much recent research on information retrieval has focused on how to tran...

0 Zhuyun Dai, et al. ∙

research

∙ 04/12/2022

ASQA: Factoid Questions Meet Long-Form Answers

An abundance of datasets and availability of reliable evaluation metrics...

0 Ivan Stelmakh, et al. ∙

research

∙ 12/16/2021

FRUIT: Faithfully Reflecting Updated Information in Text

Textual knowledge bases such as Wikipedia require considerable effort to...

0 Robert L. Logan IV, et al. ∙

research

∙ 12/15/2021

Large Dual Encoders Are Generalizable Retrievers

It has been shown that dual encoders trained on one domain often fail to...

0 Jianmo Ni, et al. ∙

research

∙ 06/30/2021

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer

Despite their success, large pre-trained multilingual models have not co...

0 Iulia Turc, et al. ∙

research

∙ 04/17/2021

Joint Passage Ranking for Diverse Multi-Answer Retrieval

We study multi-answer retrieval, an under-explored problem that requires...

0 Sewon Min, et al. ∙

research

∙ 11/09/2020

CapWAP: Captioning with a Purpose

The traditional image captioning task uses generic reference captions to...

1 Adam Fisch, et al. ∙

research

∙ 10/24/2020

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?

Sequence-to-sequence models excel at handling natural language variation...

7 Peter Shaw, et al. ∙

research

∙ 10/20/2020

Open Question Answering over Tables and Text

In open question answering (QA), the answer to a question is produced by...

0 Wenhu Chen, et al. ∙

research

∙ 05/05/2020

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

We address the problem of extractive question answering using document-l...

0 Hao Cheng, et al. ∙

research

∙ 02/10/2020

REALM: Retrieval-Augmented Language Model Pre-Training

Language model pre-training has been shown to capture a surprising amoun...

0 Kelvin Guu, et al. ∙

research

∙ 08/23/2019

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation

Recent developments in NLP have been accompanied by large, expensive mod...

0 Iulia Turc, et al. ∙

research

∙ 06/18/2019

Zero-Shot Entity Linking by Reading Entity Descriptions

We present the zero-shot entity linking task, where mentions must be lin...

0 Lajanugen Logeswaran, et al. ∙

research

∙ 06/03/2019

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation

Automatically constructed datasets for generating text from semi-structu...

0 Bhuwan Dhingra, et al. ∙

research

∙ 06/01/2019

Latent Retrieval for Weakly Supervised Open Domain Question Answering

Recent work on open domain question answering (QA) assumes strong superv...

0 Kenton Lee, et al. ∙

research

∙ 05/24/2019

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

In this paper we study yes/no questions that are naturally occurring ---...

0 Christopher Clark, et al. ∙

research

∙ 01/26/2019

Language Model Pre-training for Hierarchical Document Representations

Hierarchical neural architectures are often used to capture long-distanc...

0 Ming-Wei Chang, et al. ∙

research

∙ 11/05/2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data

We study approaches to improve fine-grained short answer Question Answer...

0 Hao Cheng, et al. ∙

research

∙ 10/11/2018

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

We introduce a new language representation model called BERT, which stan...

0 Jacob Devlin, et al. ∙

research

∙ 09/05/2018

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations

Semantic parsing from denotations faces two key challenges in model trai...

0 Dipendra Misra, et al. ∙

research

∙ 02/07/2017

A Knowledge-Grounded Neural Conversation Model

Neural network models are capable of generating extremely natural soundi...

0 Marjan Ghazvininejad, et al. ∙

research

∙ 11/14/2016

Traversing Knowledge Graph in Vector Space without Symbolic Space Guidance

Recent studies on knowledge base completion, the task of recovering miss...

0 Yelong Shen, et al. ∙

research

∙ 11/04/2016

Answering Complicated Question Intents Expressed in Decomposed Question Sequences

Recent work in semantic parsing for question answering has focused on lo...

0 Mohit Iyyer, et al. ∙

research

∙ 09/23/2015

IllinoisSL: A JAVA Library for Structured Prediction

IllinoisSL is a Java library for learning structured prediction models. ...

0 Kai-Wei Chang, et al. ∙

research

∙ 04/24/2015

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods

Most of previous work in knowledge base (KB) completion has focused on t...

0 Arvind Neelakantan, et al. ∙

Ming-Wei Chang

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