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Oct 16, 2024 · PromptExp supports both white-box and black-box explanations and extends explanations to higher granularity levels, enabling flexible analysis.
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Oct 16, 2024 · To enable this, we propose PromptExp, a framework to explain prompts in multi-granularity by aggregating the token-level explanation. To achieve ...
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Oct 18, 2024 · Large Language Models excel in tasks like natural language understanding and text generation. Prompt engineering plays a critical role in ...
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Oct 18, 2024 · PromptExp is a framework that helps users understand and debug prompts for large language models by identifying which parts of a prompt are ...
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Oct 30, 2024 · This paper proposes a method called PromptExp for explaining the behavior of large language models based on the input prompt.
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Mar 17, 2024 · First, we show that fine- tuning sufficiently large LLMs can produce IC-. SF performance comparable to discriminative models. Next, we ...
Jan 7, 2024 · Most LLMs are trained for next word prediction using Multi head attention. So for a sequence of say 500 tokens the model learns to predict next token from ...
Missing: xp: granularity
Duration: 50:27
Posted: Nov 12, 2024
Posted: Nov 12, 2024
Missing: xp: Multi- granularity
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