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Create 2302.07842.atom
Browse files- arxiv/2302.07842.atom +76 -0
arxiv/2302.07842.atom
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<?xml version="1.0" encoding="UTF-8"?>
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<feed xmlns="http://www.w3.org/2005/Atom">
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<link href="http://arxiv.org/api/query?search_query%3D%26id_list%3D2302.07842%26start%3D0%26max_results%3D1" rel="self" type="application/atom+xml"/>
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<title type="html">ArXiv Query: search_query=&id_list=2302.07842&start=0&max_results=1</title>
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<id>http://arxiv.org/api/wq9zF2OG08gdPxTTIUbwyNNXJ+Q</id>
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<updated>2023-06-09T00:00:00-04:00</updated>
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<opensearch:totalResults xmlns:opensearch="http://a9.com/-/spec/opensearch/1.1/">1</opensearch:totalResults>
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<entry>
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<id>http://arxiv.org/abs/2302.07842v1</id>
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<updated>2023-02-15T18:25:52Z</updated>
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<published>2023-02-15T18:25:52Z</published>
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<title>Augmented Language Models: a Survey</title>
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<summary> This survey reviews works in which language models (LMs) are augmented with
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reasoning skills and the ability to use tools. The former is defined as
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decomposing a potentially complex task into simpler subtasks while the latter
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consists in calling external modules such as a code interpreter. LMs can
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leverage these augmentations separately or in combination via heuristics, or
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learn to do so from demonstrations. While adhering to a standard missing tokens
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prediction objective, such augmented LMs can use various, possibly
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non-parametric external modules to expand their context processing ability,
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thus departing from the pure language modeling paradigm. We therefore refer to
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them as Augmented Language Models (ALMs). The missing token objective allows
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ALMs to learn to reason, use tools, and even act, while still performing
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standard natural language tasks and even outperforming most regular LMs on
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several benchmarks. In this work, after reviewing current advance in ALMs, we
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conclude that this new research direction has the potential to address common
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limitations of traditional LMs such as interpretability, consistency, and
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scalability issues.
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</summary>
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<author>
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<name>Grégoire Mialon</name>
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</author>
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<author>
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<name>Roberto Dessì</name>
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</author>
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<author>
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<name>Maria Lomeli</name>
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</author>
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<author>
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<name>Christoforos Nalmpantis</name>
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</author>
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<author>
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<name>Ram Pasunuru</name>
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</author>
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<author>
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<name>Roberta Raileanu</name>
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</author>
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<author>
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<name>Baptiste Rozière</name>
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</author>
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<author>
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<name>Timo Schick</name>
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</author>
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<author>
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<name>Jane Dwivedi-Yu</name>
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</author>
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<author>
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<name>Asli Celikyilmaz</name>
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</author>
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<author>
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<name>Edouard Grave</name>
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</author>
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<author>
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<name>Yann LeCun</name>
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</author>
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<author>
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<name>Thomas Scialom</name>
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</author>
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<link href="http://arxiv.org/abs/2302.07842v1" rel="alternate" type="text/html"/>
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<link title="pdf" href="http://arxiv.org/pdf/2302.07842v1" rel="related" type="application/pdf"/>
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<arxiv:primary_category xmlns:arxiv="http://arxiv.org/schemas/atom" term="cs.CL" scheme="http://arxiv.org/schemas/atom"/>
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<category term="cs.CL" scheme="http://arxiv.org/schemas/atom"/>
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</entry>
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</feed>
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