dLLM-RL
[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.
Use a framework to improve the performance of large language models through advanced training techniques.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.
dLLM-RL has 519 stars on GitHub. It has been forked 45 times. dLLM-RL is written mainly in Python. It has been in active development since 2025. dLLM-RL is available under the Apache-2.0 license. Its main topics are code-generation, diffusion-language-models, large-language-models, llm-reasoning.
What is dLLM-RL?
[ICLR 2026] Official code for TraceRL: Revolutionizing post-training for Diffusion LLMs, powering the SOTA TraDo series.
Is dLLM-RL open source?
dLLM-RL is an open-source project. It is released under the Apache-2.0 license.
Is dLLM-RL free?
Yes. dLLM-RL is free and open source — you can use, modify and self-host it.
What license does dLLM-RL use?
dLLM-RL is available under the Apache-2.0 license.
What language is dLLM-RL written in?
dLLM-RL is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/gen-verse-dllm-rl.html)
