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20162023
most citedLlama 2: Open Foundation and Fine-Tuned Chat Models

2.7k citations · 6.8k across the 39 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CL2022

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2022★ 3 cited

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani +4

Existing metrics for evaluating the quality of automatically generated questions such as BLEU, ROUGE, BERTScore, and BLEURT compare the reference and predicted questions, providing…

cs.CL2022★ 373 cited

No Language Left Behind: Scaling Human-Centered Machine Translation

NLLB Team, Marta R. Costa-jussà, James Cross +36

Driven by the goal of eradicating language barriers on a global scale, machine translation has solidified itself as a key focus of artificial intelligence research today. However,…

cs.CL2022★ 1 cited

A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation

David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan +42

Recent advances in the pre-training of language models leverage large-scale datasets to create multilingual models. However, low-resource languages are mostly left out in these dat…

cs.CL2022★ 2 cited

Generating Full Length Wikipedia Biographies: The Impact of Gender Bias on the Retrieval-Based Generation of Women Biographies

Angela Fan, Claire Gardent

Generating factual, long-form text such as Wikipedia articles raises three key challenges: how to gather relevant evidence, how to structure information into well-formed text, and…

cs.IR2022★ 4 cited

Reasoning over Public and Private Data in Retrieval-Based Systems

Simran Arora, Patrick Lewis, Angela Fan +2

Users and organizations are generating ever-increasing amounts of private data from a wide range of sources. Incorporating private data is important to personalize open-domain appl…