XBench-DeepSearch
PulseAugur coverage of XBench-DeepSearch — every cluster mentioning XBench-DeepSearch across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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OpenResearcher pipeline enables offline synthesis of AI research trajectories
Researchers have developed OpenResearcher, an open-source pipeline designed for synthesizing long-horizon research trajectories for training deep research agents. This pipeline operates offline, utilizing three explicit…
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New framework AutoMem automates memory architecture search for LLM agents
Researchers have developed AutoMem, a novel framework designed to automatically discover optimal memory architectures for large language model (LLM) agents. This text-gradient recursive self-improvement system navigates…
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TreeSeeker framework enhances AI deep search with controlled trial-and-error
Researchers have introduced TreeSeeker, a novel framework designed to improve the efficiency of deep search agents. This system structures search processes as a tree, allowing agents to explore multiple potential paths …
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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…
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DeepVerifier research introduces self-evolving AI agents via test-time verification
Researchers have developed DeepVerifier, a novel system that enhances the capabilities of Deep Research Agents (DRAs) by enabling them to self-improve during inference time. This is achieved through a rubric-guided veri…