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05/31/2023
From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces
Much of the previous work towards digital agents for graphical user inte...
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05/23/2023
Anchor Prediction: Automatic Refinement of Internet Links
Internet links enable users to deepen their understanding of a topic by ...
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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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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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05/24/2022
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
Despite their strong performance on many tasks, pre-trained language mod...
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04/02/2022
Generating recommendations for entity-oriented exploratory search
We introduce the task of recommendation set generation for entity-orient...
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12/14/2021
Improving Compositional Generalization with Latent Structure and Data Augmentation
Generic unstructured neural networks have been shown to struggle on out-...
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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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01/26/2021
Representations for Question Answering from Documents with Tables and Text
Tables in Web documents are pervasive and can be directly used to answer...
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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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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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05/01/2020
Sparse, Dense, and Attentional Representations for Text Retrieval
Dual encoder architectures perform retrieval by encoding documents and q...
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04/24/2020
Contextualized Representations Using Textual Encyclopedic Knowledge
We present a method to represent input texts by contextualizing them joi...
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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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06/01/2019
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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08/12/2017
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Past work in relation extraction has focused on binary relations in sing...
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07/07/2017
