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06/02/2023
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Noticing the urgent need to provide tools for fast and user-friendly qua...
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05/25/2023
Scaling Data-Constrained Language Models
The current trend of scaling language models involves increasing both pa...
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02/28/2023
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
We present Spacerini, a modular framework for seamless building and depl...
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02/27/2023
The ROOTS Search Tool: Data Transparency for LLMs
ROOTS is a 1.6TB multilingual text corpus developed for the training of ...
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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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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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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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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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11/10/2020
Generating Fact Checking Briefs
Fact checking at scale is difficult – while the number of active fact ch...
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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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05/10/2020
How Context Affects Language Models' Factual Predictions
When pre-trained on large unsupervised textual corpora, language models ...
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01/17/2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better
Graph Neural Networks (GNNs) have received a lot of interest in the rece...
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11/09/2019
How Decoding Strategies Affect the Verifiability of Generated Text
Language models are of considerable importance. They are used for pretra...
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05/23/2019
