collaborators

5 papers

cs.HC2026

Humans are Missing from AI Coding Agent Research

Zora Z. Wang, John Yang, Kilian Lieret +10

Recent progress in AI coding agent research has led to rapid improvements in agents' ability to autonomously perform complex software engineering tasks, from editing large codebase…

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.SE2026

Hybrid-Gym: Training Coding Agents to Generalize Across Tasks

Yiqing Xie, Emmy Liu, Gaokai Zhang +7

When assessing the quality of coding agents, predominant benchmarks focus on solving single issues on GitHub, such as SWE-Bench. In contrast, in real use, these agents solve more v…

cs.AI2025

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.CL2025

Inducing Programmatic Skills for Agentic Tasks

Zora Zhiruo Wang, Apurva Gandhi, Graham Neubig +1

To succeed in common digital tasks such as web navigation, agents must carry out a variety of specialized tasks such as searching for products or planning a travel route. To tackle…