Explainability For Large Language Models A Survey

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Explainability for Large Language Models

Large language models (LLMs) have demonstrated impressive capabilities in natural language processing. However, their internal mechanisms are still unclear and this lack of transparency poses unwanted risks for downstream applications. Therefore, understanding and explaining these models is crucial for elucidating their behaviors, limitations, and social impacts. In this paper, we introduce a ...

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Explainability For Large Language Models A Survey

Explainability for Large Language Models

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Explainability For Large Language Models A Survey

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In this paper, we introduce a taxonomy of explainability techniques and provide a structured overview of methods for explaining Transformer-based language models .

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A taxonomy of explainability techniques is introduced and a structured overview of methods for explaining Transformer-based language models is provided, based on the training paradigms of LLMs: traditional fine-tuning-based paradigm and prompting-based paradigm. Large language models (LLMs) have demonstrated impressive capabilities in natural language processing. However, their internal ...

Explainability for Large Language Models

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Explainability and Interpretability of Multilingual Large Language. This note connects the source idea with the visuals in a simple, reader-friendly way.

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