REPOGEO REPORT · LITE
TsinghuaC3I/Awesome-RL-for-LRMs
Default branch main · commit ecc8ba08 · scanned 5/22/2026, 12:57:13 PM
GitHub: 2,457 stars · 130 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 TsinghuaC3I/Awesome-RL-for-LRMs, 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#1Add an explicit introductory sentence to the README clarifying the repo's nature
Why:
CURRENTThe README starts with a title and a general quote.
COPY-PASTE FIXAdd a clear introductory sentence immediately after the main title, e.g., 'This repository serves as a comprehensive, curated collection of research papers and resources on Reinforcement Learning for Large Reasoning Models, designed for researchers and practitioners. It is not a deployable software package or library.'
- mediumtopics#2Expand repository topics to include survey and research-related terms
Why:
CURRENTawesome-list, deepseek-r1, llm, lrm, open-source, reasoning, rl
COPY-PASTE FIXawesome-list, deepseek-r1, llm, lrm, open-source, reasoning, rl, survey, research, literature-review, papers, resource-collection
- mediumreadme#3Reorganize README to prioritize the survey's value proposition over news
Why:
CURRENTThe 'News' section appears immediately after the title and an introductory quote.
COPY-PASTE FIXIntroduce a dedicated 'About This Survey' or 'Introduction' section immediately after the initial clarifying sentence, detailing the survey's scope and structure, and place the 'News' section below it.
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.
- InstructGPT · recommended 1×
- ChatGPT · recommended 1×
- Hugging Face Transformers · recommended 1×
- Triton · recommended 1×
- PyTorch · recommended 1×
- CATEGORY QUERYHow can I improve reasoning capabilities of large language models using reinforcement learning?you: not recommendedAI recommended (in order):
- InstructGPT
- ChatGPT
- Hugging Face Transformers
- Triton
- PyTorch
- TensorFlow
- Claude
- Reflexion
- Self-Correction LLMs
- Toolformer
- Gorilla
- AutoGPT
- BabyAGI
- RLlib
- CoT-Llama
- PAL
AI recommended 16 alternatives but never named TsinghuaC3I/Awesome-RL-for-LRMs. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhere can I find a comprehensive survey on reinforcement learning techniques for large AI reasoning models?you: not recommendedAI recommended (in order):
- Reinforcement Learning for Large Language Models: A Survey
- A Survey on Reinforcement Learning from Human Feedback
- A Survey of Large Language Models
- Harnessing the Power of LLMs: A Survey of Techniques and Applications
- Deep Reinforcement Learning: An Overview by Li
- Reinforcement Learning for Natural Language Processing: A Survey
AI recommended 6 alternatives but never named TsinghuaC3I/Awesome-RL-for-LRMs. 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 TsinghuaC3I/Awesome-RL-for-LRMs?passAI did not name TsinghuaC3I/Awesome-RL-for-LRMs — 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 TsinghuaC3I/Awesome-RL-for-LRMs in production, what risks or prerequisites should they evaluate first?passAI named TsinghuaC3I/Awesome-RL-for-LRMs 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 TsinghuaC3I/Awesome-RL-for-LRMs solve, and who is the primary audience?passAI did not name TsinghuaC3I/Awesome-RL-for-LRMs — 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 TsinghuaC3I/Awesome-RL-for-LRMs. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/TsinghuaC3I/Awesome-RL-for-LRMs)<a href="https://repogeo.com/en/r/TsinghuaC3I/Awesome-RL-for-LRMs"><img src="https://repogeo.com/badge/TsinghuaC3I/Awesome-RL-for-LRMs.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
TsinghuaC3I/Awesome-RL-for-LRMs — 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