ENTITY
OfficeBench
OfficeBench
PulseAugur coverage of OfficeBench — every cluster mentioning OfficeBench across labs, papers, and developer communities, ranked by signal.
Total · 30d
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2 over 90d
Releases · 30d
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Papers · 30d
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TIER MIX · 90D
TOPICS
SENTIMENT · 30D
1 day(s) with sentiment data
RECENT · PAGE 1/1 · 2 TOTAL
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New Agentic World Modeling enables LLM agents to scale without environment replicas · 2 sources tracked
Researchers have developed Agentic World Modeling (AWM), a new method to improve large language model agents by enabling test-time scaling without needing to replicate entire environments. AWM reformulates next-observat…
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LLMs generate synthetic data for API-calling agents without environments
Researchers have developed a novel method for generating synthetic data to train API-calling large language model (LLM) agents without needing fully implemented environments. This approach utilizes LLMs as on-the-fly di…