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05/19/2023
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations
Formulating selective information needs results in queries that implicit...
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04/11/2023
Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference
We propose Conditional Adapter (CoDA), a parameter-efficient transfer le...
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04/04/2023
Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
Multi-vector retrieval models such as ColBERT [Khattab and Zaharia, 2020...
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04/01/2023
Subject-driven Text-to-Image Generation via Apprenticeship Learning
Recent text-to-image generation models like DreamBooth have made remarka...
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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...
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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...
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12/05/2022
Meta-Learning Fast Weight Language Models
Dynamic evaluation of language models (LMs) adapts model parameters at t...
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09/23/2022
Promptagator: Few-shot Dense Retrieval From 8 Examples
Much recent research on information retrieval has focused on how to tran...
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04/12/2022
ASQA: Factoid Questions Meet Long-Form Answers
An abundance of datasets and availability of reliable evaluation metrics...
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12/16/2021
FRUIT: Faithfully Reflecting Updated Information in Text
Textual knowledge bases such as Wikipedia require considerable effort to...
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12/15/2021
Large Dual Encoders Are Generalizable Retrievers
It has been shown that dual encoders trained on one domain often fail to...
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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...
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04/17/2021
Joint Passage Ranking for Diverse Multi-Answer Retrieval
We study multi-answer retrieval, an under-explored problem that requires...
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11/09/2020
CapWAP: Captioning with a Purpose
The traditional image captioning task uses generic reference captions to...
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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...
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10/20/2020
Open Question Answering over Tables and Text
In open question answering (QA), the answer to a question is produced by...
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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...
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02/10/2020
REALM: Retrieval-Augmented Language Model Pre-Training
Language model pre-training has been shown to capture a surprising amoun...
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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...
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06/18/2019
Zero-Shot Entity Linking by Reading Entity Descriptions
We present the zero-shot entity linking task, where mentions must be lin...
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06/03/2019
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Automatically constructed datasets for generating text from semi-structu...
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06/01/2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering
Recent work on open domain question answering (QA) assumes strong superv...
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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 ---...
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01/26/2019
Language Model Pre-training for Hierarchical Document Representations
Hierarchical neural architectures are often used to capture long-distanc...
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11/05/2018
Improving Span-based Question Answering Systems with Coarsely Labeled Data
We study approaches to improve fine-grained short answer Question Answer...
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10/11/2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
We introduce a new language representation model called BERT, which stan...
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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...
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02/07/2017
A Knowledge-Grounded Neural Conversation Model
Neural network models are capable of generating extremely natural soundi...
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11/14/2016
Traversing Knowledge Graph in Vector Space without Symbolic Space Guidance
Recent studies on knowledge base completion, the task of recovering miss...
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11/04/2016
Answering Complicated Question Intents Expressed in Decomposed Question Sequences
Recent work in semantic parsing for question answering has focused on lo...
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09/23/2015
IllinoisSL: A JAVA Library for Structured Prediction
IllinoisSL is a Java library for learning structured prediction models. ...
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04/24/2015