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Aditya Mittal

2 accepted papers

2026

EditBench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits

ICLR 2026oral

Instructed code editing, where LLMs directly modify a developer's existing code based on a user instruction, is becoming a widely used interaction mode in AI coding assistants. However, few benchmarks directly evaluate this capability and current datasets often rely on artificial sources. We introdu…

Cited by 0SourcecodeScholar
2025

Copilot Arena: A Platform for Code LLM Evaluation in the Wild

ICML 2025poster

Evaluating in-the-wild coding capabilities of large language models (LLMs) is a challenging endeavor with no existing solution. We introduce Copilot Arena, a platform to collect user preferences through native integration into a developer's working environment. Copilot Arena comprises a novel interf…

Cited by 0SourcePDFScholar