← authors · overview

• DeepBugs: A Learning Approach to Name-based Bug Detection
  2018 · 323 citations
• Ansor: Generating High-Performance Tensor Programs for Deep Learning
  2020 · 82 citations
• Context2Name: A Deep Learning-Based Approach to Infer Natural Variable Names from Usage Contexts
  2018 · 44 citations
• LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
  2024 · 28 citations
• Benchmarking Language Models for Code Syntax Understanding
  2022 · 12 citations
• LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
  2024 · 8 citations
• Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis
  2024 · 5 citations
• LLM-Assisted Code Cleaning For Training Accurate Code Generators
  2023 · 4 citations
• The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?
  2024 · 2 citations
• KISS Sorcar: A Stupidly-Simple General-Purpose and Software Engineering AI Assistant
  2026
• AdaEvolve: Adaptive LLM Driven Zeroth-Order Optimization
  2026
• GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
  2025
• Semantic Fuzzing with Zest
  2018
• Aroma: Code Recommendation via Structural Code Search
  2018
• CodeScholar: Growing Idiomatic Code Examples
  2023