REPOGEO REPORT · LITE

zjunlp/KnowledgeEditingPapers

Default branch main · commit 72084907 · scanned 5/22/2026, 12:37:37 AM

GitHub: 1,231 stars · 81 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 zjunlp/KnowledgeEditingPapers, 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 the README's opening sentence to emphasize 'curated list' and 'surveys'

Why:

CURRENT

Must-read papers on knowledge editing for large language models.

COPY-PASTE FIX

A curated and comprehensive list of must-read papers and surveys on knowledge editing for large language models.

mediumabout#2
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
Add the official project or organization homepage URL here.
```

lowtopics#3

Add more specific 'survey' and 'review' related topics

Why:

CURRENT

awsome-list, easyedit, foundation-models, knowledge-editing, knowlm, large-language-models, model-editing, natural-language-processing, paper, paper-list, pre-trained-language-models, pre-trained-model, review, rome, survey

COPY-PASTE FIX

awsome-list, easyedit, foundation-models, knowledge-editing, knowlm, large-language-models, literature-review, model-editing, natural-language-processing, paper, paper-list, pre-trained-language-models, pre-trained-model, research-survey, review, rome, 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 zjunlp/KnowledgeEditingPapers

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

arXiv.org

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

arXiv.org · recommended 1×
Google Scholar · recommended 1×
Papers With Code · recommended 1×
ACL Anthology · recommended 1×
EMNLP · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive survey of recent research on updating factual knowledge in LLMs?
you: not recommended
AI recommended (in order):
1. arXiv.org
2. Google Scholar
3. Papers With Code
4. ACL Anthology
5. EMNLP
6. NAACL Proceedings
7. Distill.pub
8. Towards Data Science
AI recommended 8 alternatives but never named zjunlp/KnowledgeEditingPapers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best techniques for effectively editing knowledge within pre-trained language models?
you: not recommended
AI recommended (in order):
1. ROME
2. MEND
3. SERAC
4. LoRA
5. Retrieval-Augmented Generation (RAG)
6. FAISS
7. Pinecone
8. In-Context Learning (Prompt Engineering)
AI recommended 8 alternatives but never named zjunlp/KnowledgeEditingPapers. 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 zjunlp/KnowledgeEditingPapers?
pass
AI named zjunlp/KnowledgeEditingPapers explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts zjunlp/KnowledgeEditingPapers in production, what risks or prerequisites should they evaluate first?
pass
AI named zjunlp/KnowledgeEditingPapers 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 zjunlp/KnowledgeEditingPapers solve, and who is the primary audience?
pass
AI did not name zjunlp/KnowledgeEditingPapers — 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)

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zjunlp/KnowledgeEditingPapers — 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