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Jenny Liang

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
2023

NLPositionality: Characterizing Design Biases of Datasets and Models

ACL 2023long

Design biases in NLP systems, such as performance differences for different populations, often stem from their creator’s positionality, i.e., views and lived experiences shaped by identity and background. Despite the prevalence and risks of design biases, they are hard to quantify because researcher…