ICSFSurvey

A deep dive into the internal consistency and self-feedback of large language models.

CommonProductProgrammingInternal ConsistencySelf-Feedback

ICSFSurvey is a research study investigating the internal consistency and self-feedback of large language models. It offers a cohesive perspective on the self-assessment and self-updating mechanisms of LLMs, encompassing theoretical frameworks, systematic classifications, evaluation methods, and future research directions.

Provide a theoretical framework for internal consistency
explaining reasoning deficits and hallucination phenomena in LLMs.
Explore self-feedback mechanisms
including self-assessment and self-updating to enhance model responses or the models themselves.
Conduct systematic classification research based on tasks and workflows related to self-feedback mechanisms.
Summarize evaluation methods and benchmarks for assessing the effectiveness of self-feedback.
Investigate key considerations
such as the true efficacy of self-feedback
proposing hypotheses like the sandglass evolution of internal consistency.
Outline future research directions for internal consistency and self-feedback in LLMs.

This product is suitable for researchers
developers
and professionals interested in the self-assessment and self-updating mechanisms of large language models (LLMs). It provides in-depth insights and resources for understanding and improving LLMs.

Researchers use ICSFSurvey to understand the internal mechanisms of LLMs and design improvement strategies.
Developers leverage the code and data from this survey to create new assessment tools for LLMs.
Educators can utilize ICSFSurvey as a teaching material to help students grasp advanced concepts of LLMs.

Visit the GitHub page to explore an overview and resources related to ICSFSurvey.
Read the README.md file for guidance on usage and contributions.
Browse the code/
data/
figures/

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ICSFSurvey Visit Over Time

Monthly Visits

494758773

Bounce Rate

37.69%

Page per Visit

5.7

Visit Duration

00:06:29

ICSFSurvey Visit Trend

ICSFSurvey Visit Geography

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