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cs.LG2026
HARTS: A Prefix-Sharing Training System for Agentic RL with Hybrid-Attention Models
Boyuan Meng, Peihua Bao, Hong Liu +4
Agentic reinforcement learning (RL) generates irregular rollout trees, but trajectory-by-trajectory training recomputes their shared interaction histories. Existing training-time p…
cs.LG2026
Causal-Privacy Audit Workflow for Synthetic and Distilled Data in Dropout Support
Hanghang Zheng, Xiwei Zhuang, Zhong Wang +4
Synthetic and distilled student data are increasingly used to enable privacy-conscious learning analytics, yet their suitability for decision-facing institutional support remains u…
cs.CL2026
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…