GitHub

verl: Volcano Engine Reinforcement Learning for LLMs

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.
IEEE

Short-Length Code Designs for Integrated Sensing and Communications Using Deep Learning

Abstract: Integrated sensing and communications (ISAC) is envisioned to be a key to advanced applications in future wireless networks. In this paper, we study the coded modulation designs for ISAC ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
IEEE

Variable-Length Feedback Codes via Deep Learning

Abstract: Variable-length feedback coding has the potential to significantly enhance communication reliability in finite block length scenarios by adapting coding strategies based on real-time ...
GitHub

jAST: Analyzing and Modifying Java ASTs with Python

The jast module helps Python applications to process trees of the Java abstract syntax grammar. An abstract syntax tree can be generated by using the parse() function from this module. The result will ...