3 papers
cs.AI2026
SwarmResearch: Orchestrating Coding Agents for Open-Ended Discovery
Yuvraj Virk, Zack Edds, Chunqiu Steven Xia +1
Long-running coding agents such as autoresearch can persistently discover optimizations for open-ended problems. However, they tend to converge onto a single high-level approach, t…
cs.HC2025
Non-programmers Assessing AI-Generated Code: A Case Study of Business Users Analyzing Data
Yuvraj Virk, Dongyu Liu
Non-technical end-users increasingly rely on AI code generation to perform technical tasks like data analysis. However, large language models (LLMs) remain unreliable, and it is un…
cs.SE2025
Calibration of Large Language Models on Code Summarization
Yuvraj Virk, Premkumar Devanbu, Toufique Ahmed
A brief, fluent, and relevant summary can be helpful during program comprehension; however, such a summary does require significant human effort to produce. Often, good summaries a…