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cs.AI2026
Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work
Wenhui Chen, Shiwen Cheng, Hao Dong +39
Co-work agents execute complex workflows that combine information gathering, tool use, coding, and file manipulation across many model invocations. Because cost and latency accumul…
cs.AI2026
Business Arena: Benchmarking LLM Agents in a Realistic Marketplace
Yijun Pan, Yukun Lian, Kunyu Shi +5
Running a business is a challenging form of intelligent work. Operators must infer opportunities from partial signals, commit capital under uncertainty, adapt to delayed outcomes i…
cs.AI2025
Hybrid Reward Normalization for Process-supervised Non-verifiable Agentic Tasks
Peiran Xu, Zhuohao Li, Xiaoying Xing +3
Large Language Models (LLMs) increasingly rely on external tools such as search engines to solve complex agentic tasks that require reasoning and external knowledge retrieval. Rece…