REPOGEO REPORT · LITE

GaryYufei/AlignLLMHumanSurvey

Default branch main · commit 9635bd85 · scanned 6/16/2026, 11:52:35 PM

GitHub: 742 stars · 30 forks

AI VISIBILITY SCORE

28 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 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 GaryYufei/AlignLLMHumanSurvey, 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

Clarify repo's identity as a literature survey and resource collection

Why:

CURRENT

A collection of papers and resources about aligning large language models (LLMs) with human.

COPY-PASTE FIX

This repository is the official companion resource for our comprehensive literature survey paper, 'Aligning Large Language Models with Human: A Survey.' It provides a curated collection of papers and resources on aligning LLMs with human expectations.

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.

mediumtopics#3

Add more specific topics related to literature surveys and resource collections

Why:

CURRENT

awesome, chatgpt, chinese-llama, gpt-4, large-language-models, llama, llama2, llms, rlhf, supervised-finetuning, survey

COPY-PASTE FIX

awesome-list, literature-review, research-papers, paper-collection, llm-alignment-survey, nlp-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 GaryYufei/AlignLLMHumanSurvey

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Alignment Research Center (ARC)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Alignment Research Center (ARC) · recommended 1×
Anthropic · recommended 1×
EleutherAI · recommended 1×
Google DeepMind · recommended 1×
OpenAI · recommended 1×

CATEGORY QUERY
How to find comprehensive resources and papers on aligning large language models with human values?
you: not recommended
AI recommended (in order):
1. Alignment Research Center (ARC)
2. Anthropic
3. EleutherAI
4. Google DeepMind
5. OpenAI
6. AI Alignment Forum
7. LessWrong
AI recommended 7 alternatives but never named GaryYufei/AlignLLMHumanSurvey. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are effective strategies for improving large language model instruction following and reducing bias?
you: not recommended
AI recommended (in order):
1. OpenAI's InstructGPT/ChatGPT
2. Anthropic's Constitutional AI
3. Hugging Face's TRL (huggingface/trl)
4. OpenAI's GPT-4/GPT-3.5 Turbo
5. Anthropic's Claude 3
6. Google's Gemini
7. Alpaca (tatsu-lab/stanford_alpaca)
8. Vicuna (lmsys/vicuna)
9. Databricks Dolly 2.0 (databrickslabs/dolly)
10. Fairness Indicators (tensorflow/fairness-indicators)
11. IBM AI Fairness 360 (AIF360) (IBM/AIF360)
12. Microsoft's Responsible AI Toolbox (microsoft/responsible-ai-toolbox)
13. Hugging Face's Evaluate library (huggingface/evaluate)
14. ROME (kmeng01/rome)
15. MEND (grokthis/mend)
AI recommended 15 alternatives but never named GaryYufei/AlignLLMHumanSurvey. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 GaryYufei/AlignLLMHumanSurvey?
pass
AI named GaryYufei/AlignLLMHumanSurvey explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts GaryYufei/AlignLLMHumanSurvey in production, what risks or prerequisites should they evaluate first?
pass
AI named GaryYufei/AlignLLMHumanSurvey 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 GaryYufei/AlignLLMHumanSurvey solve, and who is the primary audience?
pass
AI did not name GaryYufei/AlignLLMHumanSurvey — 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?

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MARKDOWN (README)

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GaryYufei/AlignLLMHumanSurvey — 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