[2603.27490] AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

[2603.27490] AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

arXiv - AI 4 min read

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Abstract page for arXiv paper 2603.27490: AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents

Computer Science > Computation and Language arXiv:2603.27490 (cs) [Submitted on 29 Mar 2026] Title:AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents Authors:Zhaopeng Feng, Liangcai Su, Zhen Zhang, Xinyu Wang, Xiaotian Zhang, Xiaobin Wang, Runnan Fang, Qi Zhang, Baixuan Li, Shihao Cai, Rui Ye, Hui Chen, Jiang Yong, Joey Tianyi Zhou, Chenxiong Qian, Pengjun Xie, Bryan Hooi, Zuozhu Liu, Jingren Zhou View a PDF of the paper titled AgentSwing: Adaptive Parallel Context Management Routing for Long-Horizon Web Agents, by Zhaopeng Feng and 18 other authors View PDF HTML (experimental) Abstract:As large language models (LLMs) evolve into autonomous agents for long-horizon information-seeking, managing finite context capacity has become a critical bottleneck. Existing context management methods typically commit to a single fixed strategy throughout the entire trajectory. Such static designs may work well in some states, but they cannot adapt as the usefulness and reliability of the accumulated context evolve during long-horizon search. To formalize this challenge, we introduce a probabilistic framework that characterizes long-horizon success through two complementary dimensions: search efficiency and terminal precision. Building on this perspective, we propose AgentSwing, a state-aware adaptive parallel context management routing framework. At each trigger point, AgentSwing expands multiple context-managed branches in parallel and uses lookahead ro...

Originally published on March 31, 2026. Curated by AI News.

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