---
title: "AlignLLMHumanSurvey vs awesome-llm-human-preference-datasets"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/garyyufei-alignllmhumansurvey-vs-glgh-awesome-llm-human-preference-datasets"
tools: ["garyyufei-alignllmhumansurvey", "glgh-awesome-llm-human-preference-datasets"]
---

# AlignLLMHumanSurvey vs awesome-llm-human-preference-datasets

*GraphCanon updated Aug 6, 2026*

## Verdict

Pick AlignLLMHumanSurvey if 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; pick awesome-llm-human-preference-datasets if awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被.

[AlignLLMHumanSurvey](https://arxiv.org/abs/2307.12966) reports 742 GitHub stars, 30 forks, and 0 open issues, last pushed Sep 11, 2023. [awesome-llm-human-preference-datasets](https://github.com/glgh/awesome-llm-human-preference-datasets) has 390 stars, 19 forks, and 0 open issues, last pushed Oct 4, 2023. Figures are from public GitHub metadata via [AlignLLMHumanSurvey's repository](https://github.com/GaryYufei/AlignLLMHumanSurvey) and [awesome-llm-human-preference-datasets's repository](https://github.com/glgh/awesome-llm-human-preference-datasets).

| | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) |
| --- | --- | --- |
| Tagline | A survey on aligning large language models with human expectations | Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval |
| Stars | 742 | 390 |
| Forks | 30 | 19 |
| Open issues | 0 | 0 |
| Language | - | - |
| Adopt for | 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 | awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被 |
| Persona | - | - |
| Runtime | - | - |
| License | - | MIT |
| Categories | Evaluation & Observability, Model Training | Evaluation & Observability, Model Training |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) | [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) |
| --- | --- | --- |
| Days since push | 1060d | 1036d |
| Full report | [trust report](/tools/garyyufei-alignllmhumansurvey/trust.md) | [trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust.md) |

## Shared compatibility

- **ChatGPT**: [AlignLLMHumanSurvey](/tools/garyyufei-alignllmhumansurvey.md) - Works with ChatGPT; [awesome-llm-human-preference-datasets](/tools/glgh-awesome-llm-human-preference-datasets.md) - Works with ChatGPT

## Decision facts: AlignLLMHumanSurvey

- **Adopt for:** 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

## Decision facts: awesome-llm-human-preference-datasets

- **Adopt for:** awesome-llm-human-preference-datasets is an open-source repository that curates a collection of human preference datasets for fine-tuning large language models (LLMs), with a focus on reinforcement learning with human反馈被

## Choose when

### Choose AlignLLMHumanSurvey if…

- Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4.
- 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。
- More GitHub stars (742 vs 390) - visibility, not fit.

### Choose awesome-llm-human-preference-datasets if…

- Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences.
- 当你需要对大型语言模型（LLM）进行微调，并希望使用经过人类评估的数据集来增强模型性能，尤其是在强化学习场景中时。
- More recently updated (last pushed Oct 4, 2023).

## When NOT to use AlignLLMHumanSurvey

- ，AlignLLMHumanSurvey，，。

## When NOT to use awesome-llm-human-preference-datasets

- NLP，LLM、，。

## Common questions

### What is the difference between AlignLLMHumanSurvey and awesome-llm-human-preference-datasets?

AlignLLMHumanSurvey: A survey on aligning large language models with human expectations. awesome-llm-human-preference-datasets: Curated list of Human Preference Datasets for LLM fine-tuning, RLHF, and eval. See the comparison table for live GitHub stats and shared categories.

### When should I choose AlignLLMHumanSurvey over awesome-llm-human-preference-datasets?

Choose AlignLLMHumanSurvey over awesome-llm-human-preference-datasets when Tags unique to AlignLLMHumanSurvey: awesome, chatgpt, chinese-llama, gpt-4; 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。; More GitHub stars (742 vs 390) - visibility, not fit.

### When should I choose awesome-llm-human-preference-datasets over AlignLLMHumanSurvey?

Choose awesome-llm-human-preference-datasets over AlignLLMHumanSurvey when Tags unique to awesome-llm-human-preference-datasets: awesome-list, datasets, eval, human-preferences; 当你需要对大型语言模型（LLM）进行微调，并希望使用经过人类评估的数据集来增强模型性能，尤其是在强化学习场景中时。; More recently updated (last pushed Oct 4, 2023).

### When should I avoid AlignLLMHumanSurvey?

，AlignLLMHumanSurvey，，。

### When should I avoid awesome-llm-human-preference-datasets?

NLP，LLM、，。

### Is AlignLLMHumanSurvey or awesome-llm-human-preference-datasets more popular on GitHub?

AlignLLMHumanSurvey has more GitHub stars (742 vs 390). Stars measure visibility, not whether either tool fits your constraints.

### Are AlignLLMHumanSurvey and awesome-llm-human-preference-datasets open source?

Yes - both are open-source projects on GitHub.

### Where can I find alternatives to AlignLLMHumanSurvey or awesome-llm-human-preference-datasets?

GraphCanon lists graph-backed alternatives at [AlignLLMHumanSurvey alternatives](/tools/garyyufei-alignllmhumansurvey/alternatives) and [awesome-llm-human-preference-datasets alternatives](/tools/glgh-awesome-llm-human-preference-datasets/alternatives) ([AlignLLMHumanSurvey markdown twin](/tools/garyyufei-alignllmhumansurvey/alternatives.md), [awesome-llm-human-preference-datasets markdown twin](/tools/glgh-awesome-llm-human-preference-datasets/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/garyyufei-alignllmhumansurvey-vs-glgh-awesome-llm-human-preference-datasets.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, AlignLLMHumanSurvey or awesome-llm-human-preference-datasets?

AlignLLMHumanSurvey: Dormant. awesome-llm-human-preference-datasets: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for AlignLLMHumanSurvey and awesome-llm-human-preference-datasets?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AlignLLMHumanSurvey trust report](/tools/garyyufei-alignllmhumansurvey/trust); [awesome-llm-human-preference-datasets trust report](/tools/glgh-awesome-llm-human-preference-datasets/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey`](/api/graphcanon/graph?tool=garyyufei-alignllmhumansurvey)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_