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07/03/2023
Improving Language Plasticity via Pretraining with Active Forgetting
Pretrained language models (PLMs) are today the primary model for natura...
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06/30/2023
Exact dimension reduction for rough differential equations
In this paper, practically computable low-order approximations of potent...
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02/20/2023
Can discrete information extraction prompts generalize across language models?
We study whether automatically-induced prompts that effectively extract ...
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11/16/2022
Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a re...
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10/30/2022
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Access to external knowledge is essential for many natural language proc...
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10/13/2022
Query Expansion Using Contextual Clue Sampling with Language Models
Query expansion is an effective approach for mitigating vocabulary misma...
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09/27/2022
EditEval: An Instruction-Based Benchmark for Text Improvements
Evaluation of text generation to date has primarily focused on content c...
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08/24/2022
PEER: A Collaborative Language Model
Textual content is often the output of a collaborative writing process: ...
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08/05/2022
Few-shot Learning with Retrieval Augmented Language Models
Large language models have shown impressive few-shot results on a wide r...
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07/20/2022
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Factorisation-based Models (FMs), such as DistMult, have enjoyed endurin...
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07/08/2022
Improving Wikipedia Verifiability with AI
Verifiability is a core content policy of Wikipedia: claims that are lik...
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05/25/2022
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
Existing work on Entity Linking mostly assumes that the reference knowle...
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05/12/2022
Lifting the Curse of Multilinguality by Pre-training Modular Transformers
Multilingual pre-trained models are known to suffer from the curse of mu...
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05/12/2022
Open Vocabulary Extreme Classification Using Generative Models
The extreme multi-label classification (XMC) task aims at tagging conten...
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04/22/2022
Autoregressive Search Engines: Generating Substrings as Document Identifiers
Knowledge-intensive language tasks require NLP systems to both provide t...
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12/18/2021
The Web Is Your Oyster – Knowledge-Intensive NLP against a Very Large Web Corpus
In order to address the increasing demands of real-world applications, t...
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12/16/2021
Towards Unsupervised Dense Information Retrieval with Contrastive Learning
Information retrieval is an important component in natural language proc...
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12/16/2021
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
In Dynamic Adversarial Data Collection (DADC), human annotators are task...
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12/14/2021
Boosted Dense Retriever
We propose DrBoost, a dense retrieval ensemble inspired by boosting. DrB...
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10/08/2021
A Few More Examples May Be Worth Billions of Parameters
We investigate the dynamics of increasing the number of model parameters...
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10/06/2021
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Learning good representations on multi-relational graphs is essential to...
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09/02/2021
Challenges in Generalization in Open Domain Question Answering
Recent work on Open Domain Question Answering has shown that there is a ...
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08/25/2021
ProoFVer: Natural Logic Theorem Proving for Fact Verification
We propose ProoFVer, a proof system for fact verification using natural ...
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07/28/2021
Domain-matched Pre-training Tasks for Dense Retrieval
Pre-training on larger datasets with ever increasing model size is now a...
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07/05/2021
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints
Adaptive Computation (AC) has been shown to be effective in improving th...
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06/24/2021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Prompting language models (LMs) with training examples and task descript...
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06/02/2021
Database Reasoning Over Text
Neural models have shown impressive performance gains in answering queri...
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04/18/2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
When primed with only a handful of training samples, very large pretrain...
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04/18/2021
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
Despite the availability of very large datasets and pretrained models, s...
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03/23/2021
Multilingual Autoregressive Entity Linking
We present mGENRE, a sequence-to-sequence system for the Multilingual En...
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03/10/2021
Combining Learning from Demonstration with Learning by Exploration to Facilitate Contact-Rich Tasks
Collaborative robots are expected to be able to work alongside humans an...
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02/13/2021
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Open-domain Question Answering models which directly leverage question-a...
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01/01/2021
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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12/30/2020
A Memory Efficient Baseline for Open Domain Question Answering
Recently, retrieval systems based on dense representations have led to i...
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12/30/2020
Joint Verification and Reranking for Open Fact Checking Over Tables
Structured information is an important knowledge source for automatic ve...
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11/10/2020
Generating Fact Checking Briefs
Fact checking at scale is difficult – while the number of active fact ch...
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11/10/2020
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering
Most approaches to Open-Domain Question Answering consist of a light-wei...
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10/25/2020
Proactive Action Visual Residual Reinforcement Learning for Contact-Rich Tasks Using a Torque-Controlled Robot
Contact-rich manipulation tasks are commonly found in modern manufacturi...
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10/14/2020
Neural Databases
In recent years, neural networks have shown impressive performance gains...
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10/02/2020
Autoregressive Entity Retrieval
Entities are at the center of how we represent and aggregate knowledge. ...
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09/27/2020
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
We propose a simple and efficient multi-hop dense retrieval approach for...
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09/04/2020
KILT: a Benchmark for Knowledge Intensive Language Tasks
Challenging problems such as open-domain question answering, fact checki...
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08/06/2020
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Ideally Open-Domain Question Answering models should exhibit a number of...
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07/13/2020
Learning Reasoning Strategies in End-to-End Differentiable Proving
Attempts to render deep learning models interpretable, data-efficient, a...
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06/24/2020
Semi-implicit Taylor schemes for stiff rough differential equations
We study a class of semi-implicit Taylor-type numerical methods that are...
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06/01/2020
Concept Matching for Low-Resource Classification
We propose a model to tackle classification tasks in the presence of ver...
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05/22/2020
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Large pre-trained language models have been shown to store factual knowl...
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05/17/2020
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data
Recent years have witnessed the burgeoning of pretrained language models...
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05/10/2020
How Context Affects Language Models' Factual Predictions
When pre-trained on large unsupervised textual corpora, language models ...
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04/29/2020
