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Preprint Sep 2026

AgentWorld: Benchmarking Long-Horizon Collaboration of Multi-agent LLMs

Existing multi-agent benchmarks primarily test in competitive settings, short-horizon interactions under 20 steps, or simply aggregate individual performance, failing to isolate and highlight genuine collaboration capabilities of LLM-based agents. We introduce AgentWorld, a benchmark of 100 human-annotated tasks (with...

Raphael Shu, Yu-Sen Zhang, Y. Cho et al. · 0 citations
Preprint Jul 2026

PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks

PersonaMem-v3 is introduced, a real-world-grounded benchmark and evaluation harness for omni-platform personal intelligence that evaluates whether AI agents can infer holistic user understanding from cross-platform evidence, personalize responses, rerank recommendations on social media, follow user steering through nat...

Bo-Wen Jiang, Yuan Yuan, Zhuo-Qun Hao et al. · 0 citations

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