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08/28/2023
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Retrieval augmentation is a powerful but expensive method to make langua...
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08/16/2023
Answering Ambiguous Questions with a Database of Questions, Answers, and Revisions
Many open-domain questions are under-specified and thus have multiple po...
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06/17/2023
GLIMMER: generalized late-interaction memory reranker
Memory-augmentation is a powerful approach for efficiently incorporating...
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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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12/21/2022
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval
Contrastive learning has been successfully used for retrieval of semanti...
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11/22/2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Recently, there has been significant progress in teaching language model...
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10/06/2022
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
While language Models store a massive amount of world knowledge implicit...
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09/29/2022
Re-Imagen: Retrieval-Augmented Text-to-Image Generator
Research on text-to-image generation has witnessed significant progress ...
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07/01/2022
QA Is the New KR: Question-Answer Pairs as Knowledge Bases
In this position paper, we propose a new approach to generating a type o...
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05/25/2022
Reasoning over Logically Interacted Conditions for Question Answering
Some questions have multiple answers that are not equally correct, i.e. ...
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12/17/2021
Explain, Edit, and Understand: Rethinking User Study Design for Evaluating Model Explanations
In attempts to "explain" predictions of machine learning models, researc...
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10/13/2021
ConditionalQA: A Complex Reading Comprehension Dataset with Conditional Answers
We describe a Question Answering (QA) dataset that contains complex ques...
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09/29/2021
Multilingual Fact Linking
Knowledge-intensive NLP tasks can benefit from linking natural language ...
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09/09/2021
MATE: Multi-view Attention for Table Transformer Efficiency
This work presents a sparse-attention Transformer architecture for model...
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06/29/2021
Time-Aware Language Models as Temporal Knowledge Bases
Many facts come with an expiration date, from the name of the President ...
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06/01/2021
End-to-End Multihop Retrieval for Compositional Question Answering over Long Documents
Answering complex questions from long documents requires aggregating mul...
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04/05/2021
What's the best place for an AI conference, Vancouver or ______: Why completing comparative questions is difficult
Although large neural language models (LMs) like BERT can be finetuned t...
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02/14/2021
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
We present the Open Predicate Query Language (OPQL); a method for constr...
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12/01/2020
Evaluating Explanations: How much do explanations from the teacher aid students?
While many methods purport to explain predictions by highlighting salien...
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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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07/02/2020
Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Massive language models are the core of modern NLP modeling and have bee...
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04/07/2020
Guessing What's Plausible But Remembering What's True: Accurate Neural Reasoning for Question-Answering
Neural approaches to natural language processing (NLP) often fail at the...
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02/25/2020
Differentiable Reasoning over a Virtual Knowledge Base
We consider the task of answering complex multi-hop questions using a co...
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02/14/2020
Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base
We describe a novel way of representing a symbolic knowledge base (KB) c...
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12/12/2019
Game Design for Eliciting Distinguishable Behavior
The ability to inferring latent psychological traits from human behavior...
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11/08/2019
Instance-based Transfer Learning for Multilingual Deep Retrieval
Perhaps the simplest type of multilingual transfer learning is instance-...
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09/13/2019
PubMedQA: A Dataset for Biomedical Research Question Answering
We introduce PubMedQA, a novel biomedical question answering (QA) datase...
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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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05/24/2019
Differentiable Representations For Multihop Inference Rules
We present efficient differentiable implementations of second-order mult...
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05/15/2019
Neural Query Language: A Knowledge Base Query Language for Tensorflow
Large knowledge bases (KBs) are useful for many AI tasks, but are diffic...
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04/21/2019
PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text
We consider open-domain queston answering (QA) where answers are drawn f...
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04/03/2019
Probing Biomedical Embeddings from Language Models
Contextualized word embeddings derived from pre-trained language models ...
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01/15/2019
Incremental Reading for Question Answering
Any system which performs goal-directed continual learning must not only...
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01/09/2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Transformer networks have a potential of learning longer-term dependency...
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09/25/2018
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Existing question answering (QA) datasets fail to train QA systems to pe...
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09/04/2018
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text
Open Domain Question Answering (QA) is evolving from complex pipelined s...
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06/14/2018
GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
Modern deep transfer learning approaches have mainly focused on learning...
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04/24/2018
Semi-Supervised Learning with Declaratively Specified Entropy Constraints
We propose a technique for declaratively specifying strategies for semi-...
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04/16/2018
Neural Models for Reasoning over Multiple Mentions using Coreference
Many problems in NLP require aggregating information from multiple menti...
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11/17/2017
Learning to Organize Knowledge with N-Gram Machines
Deep neural networks (DNNs) had great success on NLP tasks such as langu...
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11/10/2017
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
We formulate language modeling as a matrix factorization problem, and sh...
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07/17/2017
TensorLog: Deep Learning Meets Probabilistic DBs
We present an implementation of a probabilistic first-order logic called...
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07/12/2017
Quasar: Datasets for Question Answering by Search and Reading
We present two new large-scale datasets aimed at evaluating systems desi...
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05/27/2017
Good Semi-supervised Learning that Requires a Bad GAN
Semi-supervised learning methods based on generative adversarial network...
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03/18/2017
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Recent papers have shown that neural networks obtain state-of-the-art pe...
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03/07/2017
Linguistic Knowledge as Memory for Recurrent Neural Networks
Training recurrent neural networks to model long term dependencies is di...
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03/05/2017
Using Graphs of Classifiers to Impose Declarative Constraints on Semi-supervised Learning
We propose a general approach to modeling semi-supervised learning (SSL)...
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03/02/2017
A Comparative Study of Word Embeddings for Reading Comprehension
The focus of past machine learning research for Reading Comprehension ta...
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02/27/2017
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
We study the problem of learning probabilistic first-order logical rules...
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02/07/2017