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Rule-Guided Feedback: Enhancing Reasoning by Enforcing Rule Adherence in Large Language Models

2025-03-14 · Aissatou Diallo, Antonis Bikakis, Luke Dickens, Anthony Hunter 외

In this paper, we introduce Rule-Guided Feedback (RGF), a framework designed to enhance Large Language Model (LLM) performance through structured rule adherence and strategic information seeking. RGF implements a teacher…

Checkmate In OneGSM8KLanguage ModelingLanguage Modelling+3

Autonomous Prompt Engineering in Large Language Models

2024-06-25 · Daan Kepel, Konstantina Valogianni

Prompt engineering is a crucial yet challenging task for optimizing the performance of large language models (LLMs) on customized tasks. This pioneering research introduces the Automatic Prompt Engineering Toolbox (APET)…

Checkmate In OnePrompt Engineering

Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding

2024-01-23 · Mirac Suzgun, Adam Tauman Kalai

We introduce meta-prompting, an effective scaffolding technique designed to enhance the functionality of language models (LMs). This approach transforms a single LM into a multi-faceted conductor, adept at managing and i…

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Scaling Language Models: Methods, Analysis & Insights from Training Gopher

2021-12-08 · NA 2021 12 · Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican 외

Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and understand the world. In this paper, we present an analysis o…

Abstract AlgebraAnachronismsAnalogical SimilarityAnalytic Entailment+143
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