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
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highreadme#1Reposition 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#2Add a LICENSE file to the repository
Why:
COPY-PASTE FIXMIT 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#3Add more specific topics to improve categorization
Why:
CURRENTawesome-list, large-language-models, reading-list
COPY-PASTE FIXawesome-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.
- LlamaIndex · recommended 1×
- LangChain · recommended 1×
- Haystack · recommended 1×
- OpenAI API · recommended 1×
- Hugging Face Transformers · recommended 1×
- CATEGORY QUERYHow can I prevent large language models from generating factually incorrect or conflicting information?you: not recommendedAI recommended (in order):
- LlamaIndex
- LangChain
- Haystack
- OpenAI API
- Hugging Face Transformers
- Google Search API
- Bing Search API
- SerpApi
- Wikipedia API
- Prodigy
- Label Studio
AI recommended 11 alternatives but never named HillZhang1999/llm-hallucination-survey. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking resources or surveys on understanding and mitigating hallucination issues in large language models.you: not recommendedAI recommended (in order):
- R-Tuning
- 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI 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?
Embed your GEO score
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HillZhang1999/llm-hallucination-survey — 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