REPOGEO REPORT · LITE

quqxui/Awesome-LLM4IE-Papers

Default branch main · commit ee1db165 · scanned 5/11/2026, 2:38:17 PM

GitHub: 1,058 stars · 62 forks

AI VISIBILITY SCORE

22 /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

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 quqxui/Awesome-LLM4IE-Papers, 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 the repository's nature as a curated list/survey in the README's opening
Why:
CURRENT
```
# Awesome-LLM4IE-Papers
```
COPY-PASTE FIX
```
# Awesome-LLM4IE-Papers: A Curated List and Survey of Research on LLMs for Generative Information Extraction
```

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected)

COPY-PASTE FIX

Add a LICENSE file (e.g., MIT, Apache-2.0) to the repository root to clearly state the terms of use for the content.

mediumabout#3

Refine the 'About' description for clarity on content type

Why:

CURRENT

Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)

COPY-PASTE FIX

A comprehensive, curated collection of awesome research papers and a survey on generative Information Extraction (IE) using Large Language Models (LLMs).

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 quqxui/Awesome-LLM4IE-Papers

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI API

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI API · recommended 1×
Anthropic Claude · recommended 1×
Hugging Face Transformers · recommended 1×
Google Cloud Vertex AI · recommended 1×
Microsoft Azure OpenAI Service · recommended 1×

CATEGORY QUERY
How can I leverage large language models for effective information extraction tasks?
you: not recommended
AI recommended (in order):
1. OpenAI API
2. Anthropic Claude
3. Hugging Face Transformers
4. Google Cloud Vertex AI
5. Microsoft Azure OpenAI Service
6. spaCy
7. Haystack
AI recommended 7 alternatives but never named quqxui/Awesome-LLM4IE-Papers. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best approaches for zero-shot or few-shot information extraction with LLMs?
you: not recommended
AI recommended (in order):
1. OpenAI GPT-4 / GPT-3.5 Turbo
2. Anthropic Claude 3 (Opus/Sonnet/Haiku)
3. Google Gemini (Advanced/Pro)
4. Hugging Face Transformers Library (huggingface/transformers)
5. OpenAI Fine-tuning API
6. LangChain (langchain-ai/langchain)
7. LlamaIndex (run-llama/llama_index)
8. Pinecone
9. Weaviate (weaviate/weaviate)
10. Chroma (chroma-core/chroma)
11. Elasticsearch (elastic/elasticsearch)
12. Guidance (Microsoft) (microsoft/guidance)
13. BioBERT (dmis-lab/biobert)
14. ClinicalBERT (yikuan8/ClinicalBERT)
15. LegalBERT (Legal-AI/LegalBERT)
16. SciBERT (allenai/scibert)
AI recommended 16 alternatives but never named quqxui/Awesome-LLM4IE-Papers. 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 quqxui/Awesome-LLM4IE-Papers?
pass
AI did not name quqxui/Awesome-LLM4IE-Papers — 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 quqxui/Awesome-LLM4IE-Papers in production, what risks or prerequisites should they evaluate first?
pass
AI named quqxui/Awesome-LLM4IE-Papers 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 quqxui/Awesome-LLM4IE-Papers solve, and who is the primary audience?
pass
AI did not name quqxui/Awesome-LLM4IE-Papers — 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

Drop this badge into the README of quqxui/Awesome-LLM4IE-Papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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Pro

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quqxui/Awesome-LLM4IE-Papers — 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