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02/27/2023
LLaMA: Open and Efficient Foundation Language Models
We introduce LLaMA, a collection of foundation language models ranging f...
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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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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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07/08/2022
Improving Wikipedia Verifiability with AI
Verifiability is a core content policy of Wikipedia: claims that are lik...
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12/20/2021
Are Large-scale Datasets Necessary for Self-Supervised Pre-training?
Pre-training models on large scale datasets, like ImageNet, is a standar...
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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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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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12/08/2020
Distilling Knowledge from Reader to Retriever for Question Answering
The task of information retrieval is an important component of many natu...
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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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07/02/2020
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering
Generative models for open domain question answering have proven to be c...
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06/03/2019
Data-driven Estimation of Sinusoid Frequencies
Frequency estimation is a fundamental problem in signal processing, with...
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11/14/2018
