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## 🎉 Introduction

Welcome to the GitHub repository for our survey paper titled *"Internal Consistency and Self-Feedback in Large Language Models: A Survey."* This repository contains all the [resources](./data/), [code](./code/), and [references](#paper-list) associated with the paper. Our goal of the survey is to provide a unified perspective on the self-evaluation and self-updating mechanisms in LLMs, encapsulated within the frameworks of Internal Consistency and Self-Feedback.
Welcome to the GitHub repository for our survey paper titled *"Internal Consistency and Self-Feedback in Large Language Models: A Survey."* This repository contains all the [resources](./resources/), [codes](./codes/), and [paper list](#-paper-list) associated with our survey. The survey's goal is to provide a unified perspective on the self-evaluation and self-updating mechanisms in LLMs, encapsulated within the frameworks of Internal Consistency and Self-Feedback.

![Article Framework](figures/article_framework.jpg)

## 📚 Paper List

Here we list the most important references cited in our survey, as well as the papers we consider worth noting.

We also provide an [online version](https://www.yuque.com/zhiyu-n2wnm/ugzwgf/gmqfkfigd6xw26eg) and an [Excel version](./ICSFSurvey-Paper-List.xlsx) for your convenience.
We also provide an [online version](https://www.yuque.com/zhiyu-n2wnm/ugzwgf/gmqfkfigd6xw26eg) and an [Excel version](./papers/ICSFSurvey-Paper-List.xlsx) for your convenience.

<details><summary>Click Me to Show Table of Contents</summary>

[TOC]
- [📰 News](#-news)
- [🎉 Introduction](#-introduction)
- [📚 Paper List](#-paper-list)
- [Related Survey Papers](#related-survey-papers)
- [Section IV: Consistency Signal Acquisition](#section-iv-consistency-signal-acquisition)
- [Confidence Estimation](#confidence-estimation)
- [Hallucination Detection](#hallucination-detection)
- [Uncertainty Estimation](#uncertainty-estimation)
- [Verbal Critiquing](#verbal-critiquing)
- [Faithfulness Measurement](#faithfulness-measurement)
- [Consistency Estimation](#consistency-estimation)
- [Section V: Reasoning Elevation](#section-v-reasoning-elevation)
- [Reasoning Topologically](#reasoning-topologically)
- [Refining with Responses](#refining-with-responses)
- [Multi-Agent Collaboration](#multi-agent-collaboration)
- [Section VI: Hallucination Alleviation](#section-vi-hallucination-alleviation)
- [Mitigating Hallucination while Generating](#mitigating-hallucination-while-generating)
- [Refining the Response Iteratively](#refining-the-response-iteratively)
- [Activating Truthfulness](#activating-truthfulness)
- [Decoding Truthfully](#decoding-truthfully)
- [Section VII: Other Tasks](#section-vii-other-tasks)
- [Preference Learning](#preference-learning)
- [Knowledge Distillation](#knowledge-distillation)
- [Continuous Learning](#continuous-learning)
- [Data Synthesis](#data-synthesis)
- [Consistency Optimization](#consistency-optimization)
- [Decision Making](#decision-making)
- [Event Argument Extraction](#event-argument-extraction)
- [Inference Acceleration](#inference-acceleration)
- [Machine Translation](#machine-translation)
- [Negotiation Optimization](#negotiation-optimization)
- [Retrieval Augmented Generation](#retrieval-augmented-generation)
- [Text Classification](#text-classification)
- [Section VIII.A: Meta Evaluation](#section-viiia-meta-evaluation)
- [Consistency Evaluation](#consistency-evaluation)
- [Self-Knowledge Evaluation](#self-knowledge-evaluation)
- [Uncertainty Evaluation](#uncertainty-evaluation)
- [Feedback Ability Evaluation](#feedback-ability-evaluation)
- [Theoretical Perspectives](#theoretical-perspectives)
- [📆 To-Do List](#-to-do-list)

</details>

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