RRepoGEO

REPOGEO REPORT · LITE

HillZhang1999/llm-hallucination-survey

Default branch main · commit 94e113c6 · scanned 5/20/2026, 7:13:13 AM

GitHub: 1,083 stars · 56 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
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 HillZhang1999/llm-hallucination-survey, 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 main heading to clearly state its purpose

    Why:

    CURRENT
    # llm-hallucination-survey
    COPY-PASTE FIX
    # Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models (Official Repository & Comprehensive Reading List)
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    MIT License
    
    Copyright (c) [year] [fullname]
    
    Permission is hereby granted, free of charge, to any person obtaining a copy
    of this software and associated documentation files (the "Software"), to deal
    in the Software without restriction, including without limitation the rights
    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
    copies of the Software, and to permit persons to whom the Software is
    furnished to do so, subject to the following conditions:
    
    The above copyright notice and this permission notice shall be included in all
    copies or substantial portions of the Software.
    
    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
    SOFTWARE.
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    awesome-list, large-language-models, reading-list
    COPY-PASTE FIX
    awesome-list, large-language-models, reading-list, llm-hallucination, ai-safety, nlp-survey, research-papers

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 HillZhang1999/llm-hallucination-survey
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 1×
  2. LangChain · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI API · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How can I prevent large language models from generating factually incorrect or conflicting information?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. OpenAI API
    5. Hugging Face Transformers
    6. Google Search API
    7. Bing Search API
    8. SerpApi
    9. Wikipedia API
    10. Prodigy
    11. Label Studio

    AI recommended 11 alternatives but never named HillZhang1999/llm-hallucination-survey. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking resources or surveys on understanding and mitigating hallucination issues in large language models.
    you: not recommended
    AI recommended (in order):
    1. R-Tuning
    2. TruthfulQA

    AI recommended 2 alternatives but never named HillZhang1999/llm-hallucination-survey. 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 HillZhang1999/llm-hallucination-survey?
    pass
    AI named HillZhang1999/llm-hallucination-survey explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts HillZhang1999/llm-hallucination-survey in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name HillZhang1999/llm-hallucination-survey — 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?

  • In one sentence, what problem does the repo HillZhang1999/llm-hallucination-survey solve, and who is the primary audience?
    pass
    AI did not name HillZhang1999/llm-hallucination-survey — 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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HillZhang1999/llm-hallucination-survey — RepoGEO report