Code Repair
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Benchmarks
CodeXGLUE - Bugs2Fix
Most implemented
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
OctoPack: Instruction Tuning Code Large Language Models
One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows
Learning Performance-Improving Code Edits
Agent KB: Leveraging Cross-Domain Experience for Agentic Problem Solving
Papers
DiffPDE: Masked Diffusion Language Models as PDE Solver
Existing approaches for synthesizing Partial Differential Equation (PDE) solvers predominantly rely on autoregressive models, yet their global left-to-right decoding incurs substantial redundancy when addressing inherent…
Reinforcement LearningCode RepairOne Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows
Recent agent benchmarks increasingly ground evaluation in executable environments, from code repair to web navigation, app APIs, and function calling. Yet completing consequential work beyond code requires more than prod…
Code RepairHELIX: Model-Harness Co-evolution for Recursive Self-Improvement
Scaling agent capability has largely focused on improving the model, yet an interactive agent acts through a runtime harness that mediates context, tools, control flow, and stopping. The harness shapes both what a model …
Code RepairAnchored Self-Play for Code Repair
Code repair is an important capability for language models (LMs): given a buggy program and unit tests, an LM must produce a fixed program that passes the tests. Because code repair data is limited, we aim to scale super…
Reinforcement LearningCode RepairEvidence-Driven LLM Agent for C-to-Synthesizable-C Conversion and Verification
Software-compilable C programs routinely fail to complete the four-stage pipeline of a high-level synthesis (HLS) toolchain -- compilation, C simulation (CSim), synthesis, and C/RTL co-simulation (CoSim) -- because HLS a…
Code RepairSHERLOC: Structured Diagnostic Localization for Code Repair Agents
LLM agents solve repository-level coding tasks through multi-turn tool use, but utilize half their budget on locating faults before editing. Dedicated localization frameworks have emerged, yet are still evaluated as file…
Code Repair