1 citations · 1 across the 3 of their papers we have counts for
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.SE2024★ 1 cited
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…