2 papers
cs.LG2026
Web Agent Agentic Reinforcement Learning Decision Model Under Multi-Cost and Failure Risk
Qianli Ma, Limengxi Yue, Shuyang Xu +2
Intelligent agent interactions in real-world web environments are commonly constrained by request budgets, time delays, anti-crawling restrictions, and operational failure risks. S…
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,…