← authors · overview

• DIRE: A Neural Approach to Decompiled Identifier Naming
  2019 · 82 citations
• CAT-LM: Training Language Models on Aligned Code And Tests
  2023 · 37 citations
• MELT: Mining Effective Lightweight Transformations from Pull Requests
  2023 · 6 citations
• Large Language Models for Test-Free Fault Localization
  2023 · 5 citations
• Are Large Language Models Memorizing Bug Benchmarks?
  2024 · 4 citations
• VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning
  2021 · 3 citations
• TestForge: Feedback-Driven, Agentic Test Suite Generation
  2025 · 2 citations
• Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models
  2024 · 1 citations
• Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
  2025
• DiffSpec: Differential Testing with LLMs using Natural Language Specifications and Code Artifacts
  2024
• MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning
  2024
• Learning to Superoptimize Real-world Programs
  2021
• Using Dynamic Binary Instrumentation to Detect Failures in Robotics Software
  2022
• Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models
  2024
• When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair
  2024