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/

Visit

ICSFSurvey Visit Over Time

Monthly Visits

502571820

Bounce Rate

37.10%

Page per Visit

5.9

Visit Duration

00:06:29

ICSFSurvey Visit Trend

ICSFSurvey Visit Geography

ICSFSurvey Traffic Sources

ICSFSurvey Alternatives

PaSa — PaSa is an advanced academic paper search agent driven by large language models, capable of autonomous decision-making and obtaining accurate results.

Education•Academic Search•Large Language Models

330

self-adaptive-llms — A real-time adaptive framework for unseen tasks using large language models.

Programming•Artificial Intelligence•Large Language Models

Sonus-1 — Sonus-1: A New Era of Large Language Models (LLMs)

Productivity•Artificial Intelligence•Large Language Models

342

FlagEval — Model Evaluation Platform

Others•Model Evaluation•Artificial Intelligence

CosyVoice 2 — Scalable streaming voice synthesis technology powered by large language models.

Productivity•Voice Synthesis•Streaming

366

Sandbox Fusion — A multifunctional code sandbox suitable for large language models.

Programming•Code Sandbox•Multilanguage Support

144

Star-Attention — EfficientInference Technology for Long Sequence Large Language Models

Programming•NVIDIA•Large Language Models

Model Context Protocol Servers — A collection of reference implementations and community-contributed servers for the Model Context Protocol.

Programming•Model Context Protocol•Large Language Models

WorkflowLLM — A data-driven framework that enhances the workflow orchestration capabilities of large language models.

Programming•Large Language Models•Workflow Orchestration

108

Agora — A cross-platform communication protocol that enables efficient communication between different large language models (LLMs).

Programming•Communication Protocol•Large Language Models

5ire — User-friendly and unlocks the immense power of AI

Productivity•Large Language Models•Open Source

324

O1-Journey — O1 Journey: Strategic Progress Report Part One

Programming•Artificial Intelligence•Machine Learning

URL Parser Online — An online URL parser that converts URLs into a format suitable for large language models.

Productivity•URL Parsing•Data Extraction

306

SELA — SELA enhances automated machine learning by combining Monte Carlo Tree Search and LLM-based agents.

Programming•Automated Machine Learning•Monte Carlo Tree Search

LongVU — Spatiotemporal Adaptation Compression Model for Long Video Language Understanding

Video•Video Understanding•Spatiotemporal Compression

108

BitNet — Inference framework for 1-bit large language models

Programming•Large Language Models•Inference Framework

324

ComfyGen — Adaptive workflow for text-to-image generation

Image•Text-to-image•Adaptive workflows

324

awesome-LLM-resources — A comprehensive collection of global large language model resources.

Productivity•Large Language Models•Resource Aggregation

138

VirtualWife — A virtual digital human project that supports live streaming on Bilibili.

chatting•Virtual Digital Human•Emotional Companionship

150

MM1.5 — Optimization and analysis of multimodal large language models

Productivity•Multimodal•Large Language Models

AutoDAN-Turbo — An automated framework for breaking the limitations of large language models

Programming•Automation•Jailbreaking

Lumigator — AI Model Selection Assistant

Productivity•Large Language Models•Model Selection

Tilores Identity RAG — Customer Data Unification and Retrieval Platform

Business•Customer Data•Large Language Models

Mishi AI Community — A knowledge community in the field of AI and product management

ChineseSelection•Product Management•Knowledge Community

618

RD-Agent — An automated research and development tool that enhances R&D efficiency and quality.

Programming•Artificial Intelligence•Automation

198

Best AI Websites & Tools