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Towards Augmenting and Evaluating La...

Liu, Tianyang.

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Towards Augmenting and Evaluating Large Language Models.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Towards Augmenting and Evaluating Large Language Models./
作者:	Liu, Tianyang.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2024,
面頁冊數:	98 p.
附註:	Source: Masters Abstracts International, Volume: 85-10.
Contained By:	Masters Abstracts International85-10.
標題:	Computer science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30993449
ISBN:	9798381978063

Towards Augmenting and Evaluating Large Language Models.
Liu, Tianyang.

Towards Augmenting and Evaluating Large Language Models. - Ann Arbor : ProQuest Dissertations & Theses, 2024 - 98 p.

Source: Masters Abstracts International, Volume: 85-10.

Thesis (M.S.)--University of California, San Diego, 2024.

In the rapidly evolving field of Natural Language Processing (NLP), the advent of Large Language Models (LLMs) marks a significant milestone, setting new standards in language understanding and generation. This thesis focuses on augmenting and evaluating LLMs, introducing ToolkenGPT, a novel method to integrate external tools via tool embeddings to enrich model functionality and adaptability and RepoBench, a benchmark for assessing the proficiency of LLMs in handling repository-level code auto-completion. Additionally, this thesis rethinks approaches towards tabular data reasoning, exploring how LLMs can be better tailored to understand and interpret structured data formats effectively.

ISBN: 9798381978063Subjects--Topical Terms:

523869
Computer science.
Subjects--Index Terms:

Large Language Models

Towards Augmenting and Evaluating Large Language Models.
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