REPOGEO REPORT · LITE
TIGER-AI-Lab/TheoremExplainAgent
Default branch main · commit e9ece5db · scanned 5/21/2026, 9:28:21 PM
GitHub: 1,491 stars · 196 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 TIGER-AI-Lab/TheoremExplainAgent, 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 opening to emphasize 'AI system' and 'explanation generation'
Why:
CURRENTThis repo contains the codebase for our paper TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding
COPY-PASTE FIXTheoremExplainAgent (TEA) is an AI system designed to generate long-form Manim videos, providing multimodal explanations for LLM theorem understanding. This repository contains the official codebase for our ACL 2025 oral paper, 'TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding'.
- mediumtopics#2Add more specific topics related to AI explanation and mathematical reasoning
Why:
CURRENTllm-agents, manim, manim-animations, manim-video, rag
COPY-PASTE FIXllm-agents, manim, manim-animations, manim-video, rag, multimodal-ai, theorem-proving, mathematical-reasoning, ai-explanations, video-generation
- lowcomparison#3Add a 'Comparison to existing tools' section in the README
Why:
COPY-PASTE FIXAdd a section titled 'Comparison to Existing Tools' or 'Why TheoremExplainAgent?' that clarifies how it differs from general animation libraries (e.g., Manim) or interactive math tools (e.g., Desmos, GeoGebra) by emphasizing its AI-driven, automated explanation generation for theorems, rather than being a manual content creation tool. For example: 'Unlike general animation libraries (e.g., Manim) or interactive math tools (e.g., Desmos, GeoGebra) that require manual scripting or input, TheoremExplainAgent is an AI system that *automatically generates* video-based multimodal explanations for mathematical theorems, focusing on deep LLM understanding and flaw detection.'
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.
- Manim · recommended 1×
- Python · recommended 1×
- SymPy · recommended 1×
- PyTorch · recommended 1×
- TensorFlow · recommended 1×
- CATEGORY QUERYHow can I generate video-based multimodal explanations for large language model theorem understanding?you: not recommendedAI recommended (in order):
- Manim
- Python
- SymPy
- PyTorch
- TensorFlow
- Hugging Face Transformers
- Blender
- OpenAI API
- Anthropic API
- Streamlit
- Gradio
- FFmpeg
- Matplotlib
- Pillow
- gTTS
- OpenAI Sora
- RunwayML Gen-2
- Descript
- DaVinci Resolve
- OBS Studio
AI recommended 20 alternatives but never named TIGER-AI-Lab/TheoremExplainAgent. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools automatically create animated educational videos for mathematical proofs and scientific principles?you: not recommendedAI recommended (in order):
- Manim (3b1b/manim)
- Desmos
- GeoGebra
- Explain Everything
- GoodNotes
- Vyond
- Powtoon
- Adobe After Effects
AI recommended 8 alternatives but never named TIGER-AI-Lab/TheoremExplainAgent. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- 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 TIGER-AI-Lab/TheoremExplainAgent?passAI named TIGER-AI-Lab/TheoremExplainAgent explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts TIGER-AI-Lab/TheoremExplainAgent in production, what risks or prerequisites should they evaluate first?passAI named TIGER-AI-Lab/TheoremExplainAgent 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 TIGER-AI-Lab/TheoremExplainAgent solve, and who is the primary audience?passAI named TIGER-AI-Lab/TheoremExplainAgent explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
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TIGER-AI-Lab/TheoremExplainAgent — 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