23 citations · 23 across the 2 of their papers we have counts for
2 papers
cs.SE2026
Comparing Developer and LLM Biases in Code Evaluation
Aditya Mittal, Ryan Shar, Zichu Wu +6
As LLMs are increasingly used as judges in code applications, they should be evaluated in realistic interactive settings that capture partial context and ambiguous intent. We prese…
cs.SE2025★ 23 cited
Rubric Is All You Need: Enhancing LLM-based Code Evaluation With Question-Specific Rubrics
Aditya Pathak, Rachit Gandhi, Vaibhav Uttam +11
Since the emergence of Large Language Models (LLMs) popularized by the release of GPT-3 and ChatGPT, LLMs have shown remarkable promise in programming-related tasks. While code gen…