--- title: "LLMSys-PaperList vs RLTF" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/amberljc-llmsys-paperlist-vs-zyq-scut-rltf" tools: ["amberljc-llmsys-paperlist", "zyq-scut-rltf"] --- # LLMSys-PaperList vs RLTF *GraphCanon updated Aug 6, 2026* ## Verdict Pick LLMSys-PaperList if lLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems; pick RLTF if rLTF implements reinforcement learning for text generation using elements from CodeRL, APPS, and transformers. [LLMSys-PaperList](https://github.com/AmberLJC/LLMSys-PaperList) reports 2.2k GitHub stars, 120 forks, and 1 open issues, last pushed Jul 25, 2026. [RLTF](https://github.com/Zyq-scut/RLTF) has 134 stars, 7 forks, and 0 open issues, last pushed Oct 5, 2024. Figures are from public GitHub metadata via [LLMSys-PaperList's repository](https://github.com/AmberLJC/LLMSys-PaperList) and [RLTF's repository](https://github.com/Zyq-scut/RLTF). | | [LLMSys-PaperList](/tools/amberljc-llmsys-paperlist.md) | [RLTF](/tools/zyq-scut-rltf.md) | | --- | --- | --- | | Tagline | Curated list of academic papers related to Large Language Model systems | Accepted by Transactions on Machine Learning Research (TMLR) | | Stars | 2,220 | 134 | | Forks | 120 | 7 | | Open issues | 1 | 0 | | Language | Python | Python | | Adopt for | LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems. | RLTF implements reinforcement learning for text generation using elements from CodeRL, APPS, and transformers. | | Persona | - | - | | Runtime | - | - | | License | (unknown) | BSD-3-Clause | | Categories | Inference & Serving, LLM Frameworks, Model Training | Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [LLMSys-PaperList](/tools/amberljc-llmsys-paperlist.md) | [RLTF](/tools/zyq-scut-rltf.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 669d | | Open issues (now) | 1 | 0 | | Full report | [trust report](/tools/amberljc-llmsys-paperlist/trust.md) | [trust report](/tools/zyq-scut-rltf/trust.md) | ## Decision facts: LLMSys-PaperList - **Hosting:** unknown - (repository does not specify hosting environment) - **Adopt for:** LLMSys-PaperList offers a comprehensive list of papers and resources tailored specifically to Large Language Model (LLM) systems. - **License detail:** (unknown) ## Decision facts: RLTF - **Adopt for:** RLTF implements reinforcement learning for text generation using elements from CodeRL, APPS, and transformers. ## Choose when ### Choose LLMSys-PaperList if… - (repository does not specify hosting environment) - Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers. - Also covers Inference & Serving, LLM Frameworks. - - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems. ### Choose RLTF if… - Tags unique to RLTF: apps, bsd-license, code-rl, open-source-contributions. - Use RLTF when you need advanced Reinforcement Learning models specifically tuned for text generation tasks. - Leaner open-issue backlog (0). ## When NOT to use LLMSys-PaperList - - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - - When your primary need is documentation or code examples rather than academic papers and project insights. - - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ ## When NOT to use RLTF - Avoid RLTF if your project does not require reinforcement learning techniques, especially focused on text generation. - Do not use this tool if your work is incompatible with components from CodeRL, APPS, or transformers. ## Common questions ### What is the difference between LLMSys-PaperList and RLTF? LLMSys-PaperList: Curated list of academic papers related to Large Language Model systems. RLTF: Accepted by Transactions on Machine Learning Research (TMLR). See the comparison table for live GitHub stats and shared categories. ### When should I choose LLMSys-PaperList over RLTF? Choose LLMSys-PaperList over RLTF when (repository does not specify hosting environment); Tags unique to LLMSys-PaperList: academic-sources, framework-overview, inference-techniques, research papers; Also covers Inference & Serving, LLM Frameworks; - When you need a curated list focusing on technical advancements in pre-training, post-training, serving, and multi-modal LLM systems. ### When should I choose RLTF over LLMSys-PaperList? Choose RLTF over LLMSys-PaperList when Tags unique to RLTF: apps, bsd-license, code-rl, open-source-contributions; Use RLTF when you need advanced Reinforcement Learning models specifically tuned for text generation tasks; Leaner open-issue backlog (0). ### When should I avoid LLMSys-PaperList? - If you are looking for a general repository of machine learning papers rather than specific developments related to Large Language Models. - When your primary need is documentation or code examples rather than academic papers and project insights. - For applications where real-time updates and active community support are imperative, as LLMSys-PaperList primarily serves as a static list without user interaction features like commenting or liveＱ ### When should I avoid RLTF? Avoid RLTF if your project does not require reinforcement learning techniques, especially focused on text generation. Do not use this tool if your work is incompatible with components from CodeRL, APPS, or transformers. ### Is LLMSys-PaperList or RLTF more popular on GitHub? LLMSys-PaperList has more GitHub stars (2,220 vs 134). Stars measure visibility, not whether either tool fits your constraints. ### Are LLMSys-PaperList and RLTF open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to LLMSys-PaperList or RLTF? GraphCanon lists graph-backed alternatives at [LLMSys-PaperList alternatives](/tools/amberljc-llmsys-paperlist/alternatives) and [RLTF alternatives](/tools/zyq-scut-rltf/alternatives) ([LLMSys-PaperList markdown twin](/tools/amberljc-llmsys-paperlist/alternatives.md), [RLTF markdown twin](/tools/zyq-scut-rltf/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/amberljc-llmsys-paperlist-vs-zyq-scut-rltf.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, LLMSys-PaperList or RLTF? LLMSys-PaperList: Active. RLTF: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for LLMSys-PaperList and RLTF? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [LLMSys-PaperList trust report](/tools/amberljc-llmsys-paperlist/trust); [RLTF trust report](/tools/zyq-scut-rltf/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=amberljc-llmsys-paperlist`](/api/graphcanon/graph?tool=amberljc-llmsys-paperlist) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_