WideSearch
PulseAugur coverage of WideSearch — every cluster mentioning WideSearch across labs, papers, and developer communities, ranked by signal.
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New study explores KV cache compaction for LLM agents
A new study published on arXiv explores practical methods for online KV cache compaction in Large Language Model (LLM) agents. The research focuses on reducing inference bottlenecks caused by long agent trajectories by …
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New research aims to improve retrieval-augmented search agents · 2 sources tracked
Two new research papers propose methods to improve the efficiency and effectiveness of retrieval-augmented search agents. The first paper, "HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents," intro…
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Alibaba launches Qwen3.8, enhancing coding and office AI capabilities · 2 sources tracked
Alibaba has officially launched its new flagship large language model, Qwen3.8, boasting a total parameter count of 2.4 trillion. This advanced model demonstrates significant improvements in programming and professional…
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New AI agents tackle deep research and misleading web data · 4 sources tracked
Researchers have introduced AREX, a new family of recursively self-improving agents designed for deep research tasks. AREX alternates between research and self-improvement loops, using an autonomous context-update tool …
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Alibaba Qwen unveils AgentWorld language model for environment simulation
Alibaba's Qwen team has introduced Qwen-AgentWorld, a new language world model designed to simulate various agent environments. This model focuses on training LLMs to understand and predict environments, rather than jus…
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Web2BigTable system enhances LLM web search with bi-level agent architecture
Researchers have developed Web2BigTable, a novel bi-level multi-agent system designed for large-scale internet information search and extraction. This framework features an orchestrator that breaks down tasks for parall…