AlignLLMHumanSurvey
A survey on aligning large language models with human expectations
GraphCanon updated Oct 11, 2026 · GitHub synced Oct 11, 2026
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Decision brief
AlignLLMHumanSurvey is a survey repository aggregating resources and research on aligning large language models with human expectations through various methodologies like data collection, training techniques, and model评价
Good fit when
- 当您需要全面了解将大型语言模型与人类期望对齐的技术和方法时，可以使用AlignLLMHumanSurvey，它涵盖了数据收集、训练方法和模型评估等多个方面。
- 如果您是研究人员或从业者，并且希望深入了解这一新兴领域的发展动态和未来研究方向，这个调查提供了宝贵的资源。
Avoid when
- 当您需要具体的技术实现代码或工具箱时，请勿使用AlignLLMHumanSurvey，因为它仅仅是一个汇总知识的调研文档，不提供具体的编程实现细节。
- 如果您正在寻找特定模型的性能评估数据或者准备在实际项目中直接应用某种对齐技术，则这个资源可能不会满足您的需求，因为它更侧重于理论和调查研究。
Observed Jul 11, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (32d since push)
- As of Oct 11, 2026
- Provenance
- Not a fork · Personal account
- As of Oct 11, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/GaryYufei/AlignLLMHumanSurveySimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
This repository provides a comprehensive overview of technologies for aligning LLMs with human values, focusing on data collection, training methodologies, and model evaluation.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 11, 2026)
- Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond [[Paper]](https://arxiv.org/abs/2304.13712)Source link
Tags
README
Awesome Align LLM Human A collection of papers and resources about aligning large language models (LLMs) with human. Large Language Models (LLMs) trained on extensive textual corpora have emerged as leading solutions for a broad array of Natural Language Processing (NLP) tasks. D...
For agents
This page has a .md twin and JSON over the API.