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cs.LG2026
When Rewards Depend on the Group, GRPO Plays a Tournament
Junyi Gao, Yu Shi, Pingzhao Hu +1
Rewards for diversity, coverage and distribution matching make the reward of each sampled response depend on the rest of its group, and they are now routinely optimized with GRPO a…
eess.SP2026
Agent-Native Task-Oriented Communication with Joint Token Compression Coding and Modulation
Zhuoran Xiao, Yihang Huang, Tianyu Jiao +2
As large foundation models empower agents to become pervasive across industries and emerge as central actors in intelligent systems, a fundamental rethinking of communication parad…
eess.SP2026
Towards Native Intelligence: 6G-LLM Trained with Reinforcement Learning from NDT Feedback
Zhuoran Xiao, Tao Tao, Chenhui Ye +4
Owing to its comprehensive understanding of upper-layer application requirements and the capabilities of practical communication systems, the 6G-LLM (6G domain large language model…