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cs.AI2026
From Question Answering to Task Completion: A Survey on Agent System and Harness Design
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang +14
LLM-based agents mark a shift from passive question answering to active task completion: they perceive environments, invoke tools, maintain state, and act over extended horizons. A…
cs.AI2025★ 2 cited
FinSphere, a Real-Time Stock Analysis Agent Powered by Instruction-Tuned LLMs and Domain Tools
Shijie Han, Jingshu Zhang, Yiqing Shen +2
Current financial large language models (FinLLMs) struggle with two critical limitations: the absence of objective evaluation metrics to assess the quality of stock analysis report…