REPOGEO REPORT · LITE

RenzeLou/awesome-instruction-learning

Default branch main · commit c0ac59b4 · scanned 6/12/2026, 5:27:39 AM

GitHub: 510 stars · 23 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface RenzeLou/awesome-instruction-learning, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README opening to explicitly state its 'awesome list' nature and scope

Why:

CURRENT

<h1 align="center"> Awesome Instruction Learning </h1>

<p align="center">
  <a href="https://github.com/RenzeLou/awesome-instruction-learning"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning#-star-history"></a>
</p>

<p align="center">
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/commits/main"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/blob/main/count_number.py"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/pulls"></a>
</p>

<p align="center">
🔥🔥🔥 An awesome reading list of <b>Instruction Tuning and Following</b>, including <em>papers</em> and <em>datasets</em>. 
</p>

COPY-PASTE FIX

<h1 align="center"> Awesome Instruction Learning </h1>

<p align="center">
  <a href="https://github.com/RenzeLou/awesome-instruction-learning"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning#-star-history"></a>
</p>

<p align="center">
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/commits/main"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/blob/main/count_number.py"></a>
  <a href="https://github.com/RenzeLou/awesome-instruction-learning/pulls"></a>
</p>

<p align="center">
🔥🔥🔥 The most comprehensive and up-to-date awesome list for <b>Instruction Tuning and Following</b>, featuring curated <em>papers</em> and <em>datasets</em>. 
</p>

mediumabout#2

Update repository description to mention the associated survey

Why:

CURRENT

Papers and Datasets on Instruction Tuning and Following. ✨✨✨

COPY-PASTE FIX

A comprehensive awesome list of Papers and Datasets on Instruction Tuning and Following, directly associated with our latest survey: https://arxiv.org/abs/2303.10475

lowtopics#3

Add 'instruction-following' to repository topics

Why:

CURRENT

awesome-list, datasets, in-context-learning, instruction, instruction-learning, instruction-tuning, large-language-models, paper-list, pretrained-language-model, prompt, survey

COPY-PASTE FIX

awesome-list, datasets, in-context-learning, instruction, instruction-learning, instruction-tuning, instruction-following, large-language-models, paper-list, pretrained-language-model, prompt, survey

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface RenzeLou/awesome-instruction-learning

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Awesome-Instruction-Tuning

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Awesome-Instruction-Tuning · recommended 1×
Papers With Code · recommended 1×
arXiv · recommended 1×
Hugging Face · recommended 1×
Google Scholar · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of papers on instruction tuning for large language models?
you: not recommended
AI recommended (in order):
1. Awesome-Instruction-Tuning
2. Papers With Code
3. arXiv
4. Hugging Face
5. Google Scholar
6. Semantic Scholar
7. r/MachineLearning
8. r/DeepLearning
AI recommended 8 alternatives but never named RenzeLou/awesome-instruction-learning. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the key datasets and latest research surveys for instruction following in LLMs?
you: not recommended
AI recommended (in order):
1. Alpaca
2. Dolly 2.0
3. FLAN
4. ShareGPT
5. P3
6. Self-Instruct
7. OpenAssistant Conversations Dataset (OASST1)
8. A Survey of Large Language Models (2023) by Zhao et al.
9. Instruction Tuning for Large Language Models: A Survey (2023) by Wang et al.
10. Harnessing the Power of LLMs: A Survey on ChatGPT-like Models (2023) by Chang et al.
11. A Comprehensive Survey of AI-Generated Content (AIGC): From Text to Image and Beyond (2023) by Cao et al.
12. Alignment of Large Language Models: A Survey (2023) by Ji et al.
AI recommended 12 alternatives but never named RenzeLou/awesome-instruction-learning. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of RenzeLou/awesome-instruction-learning?
pass
AI did not name RenzeLou/awesome-instruction-learning — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts RenzeLou/awesome-instruction-learning in production, what risks or prerequisites should they evaluate first?
pass
AI named RenzeLou/awesome-instruction-learning explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo RenzeLou/awesome-instruction-learning solve, and who is the primary audience?
pass
AI did not name RenzeLou/awesome-instruction-learning — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/RenzeLou/awesome-instruction-learning.svg)](https://repogeo.com/en/r/RenzeLou/awesome-instruction-learning)

HTML

<a href="https://repogeo.com/en/r/RenzeLou/awesome-instruction-learning"><img src="https://repogeo.com/badge/RenzeLou/awesome-instruction-learning.svg" alt="RepoGEO" /></a>

Pro

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RenzeLou/awesome-instruction-learning — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite