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20242026
most citedAgent Workflow Memory

9 citations · 22 across the 22 of their papers we have counts for

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8 papers · 1 filter

cs.AI2026

Into the Unknown: Benchmarking AI agents on open scientific research problems

Seungone Kim, Jiayi Geng, Young-Jun Lee +25

Can AI agents carry out research on open scientific problems? We introduce Into the Unknown, a benchmark that provides an agent with a science paper along with a research direction…

cs.AI2026

Efficient Test-Time Adaptation through Human-AI Interaction

Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao +22

AI agents are trained on population-scale data to encode broad capabilities spanning those of many practitioners. Yet the artifacts they produce rarely meet the personal bar profes…

cs.AI2026

How Well Does Agent Development Reflect Real-World Work?

Zora Zhiruo Wang, Sanidhya Vijayvargiya, Aspen Chen +7

AI agents are increasingly developed and evaluated on benchmarks relevant to human work, yet it remains unclear how representative these benchmarking efforts are of the labor marke…

cs.AI2025★ 1 cited

How Do AI Agents Do Human Work? Comparing AI and Human Workflows Across Diverse Occupations

Zora Zhiruo Wang, Yijia Shao, Omar Shaikh +3

AI agents are continually optimized for tasks related to human work, such as software engineering and professional writing, signaling a pressing trend with significant impacts on t…

cs.AI2025

OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety

Sanidhya Vijayvargiya, Aditya Bharat Soni, Xuhui Zhou +4

Recent advances in AI agents capable of solving complex, everyday tasks, from scheduling to customer service, have enabled deployment in real-world settings, but their possibilitie…

cs.AI2025★ 1 cited

Universal Retrieval for Multimodal Trajectory Modeling

Xuan Zhang, Ziyan Jiang, Rui Meng +5

Trajectory data, capturing human actions and environmental states across various modalities, holds significant potential for enhancing AI agent capabilities, particularly in GUI en…

cs.AI2025

SkillWeaver: Web Agents can Self-Improve by Discovering and Honing Skills

Boyuan Zheng, Michael Y. Fatemi, Xiaolong Jin +8

To survive and thrive in complex environments, humans have evolved sophisticated self-improvement mechanisms through environment exploration, hierarchical abstraction of experience…

cs.AI2025★ 8 cited

CowPilot: A Framework for Autonomous and Human-Agent Collaborative Web Navigation

Faria Huq, Zora Zhiruo Wang, Frank F. Xu +4

While much work on web agents emphasizes the promise of autonomously performing tasks on behalf of users, in reality, agents often fall short on complex tasks in real-world context…