SWE-bench Lite
Emerging54papers using it
2024first seen
'SWE-bench Lite' is a dataset/benchmark used to evaluate the performance of software engineering tools and techniques, specifically in the context of assessing the effectiveness of augmentation hooks in improving baseline performance metrics.
Papers using SWE-bench Lite (54)
- Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository ExplorationSWE-Fixer: Training Open-Source LLMs for Effective and Efficient GitHub Issue ResolutionMeta-RAG on Large Codebases Using Code SummarizationUTBoost: Rigorous Evaluation of Coding Agents on SWE-BenchSWE-bench Goes Live!Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation ModelsSocratic-SWE: Self-Evolving Coding Agents via Trace-Derived Agent SkillsTriage: Routing Software Engineering Tasks to Cost-Effective LLM Tiers via Code Quality SignalsAgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software EngineeringSpec Kit Agents: Context-Grounded Agentic WorkflowsRepoRepair: Leveraging Code Documentation for Repository-Level Automated Program RepairSWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue ResolutionCodeScout: An Effective Recipe for Reinforcement Learning of Code Search AgentsMonte Carlo Tree Search for Execution-Guided Program Repair with Large Language ModelsWhat's in a Benchmark? The Case of SWE-Bench in Automated Program RepairPull Requests as a Training Signal for Repo-Level Code EditingSWE Context Bench: A Benchmark for Context Learning in CodingDebug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?RGFL: Reasoning Guided Fault Localization for Automated Program Repair Using Large Language ModelsFrom Historical Patches to Repair Plans: Outcome-Conditioned Reasoning for Repository-Level Program RepairBOAD: Discovering Hierarchical Software Engineering Agents via Bandit OptimizationDPO-F+: Aligning Code Repair Feedback with Developers' PreferencesInfCode: Adversarial Iterative Refinement of Tests and Patches for Reliable Software Issue ResolutionLLM Assisted Coding with Metamorphic Specification Mutation AgentImproving Code Localization with Repository MemoryREFINE: Enhancing Program Repair Agents through Context-Aware Patch RefinementSIADAFIX: issue description response for adaptive program repairHuxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving MachineCoreThink: A Symbolic Reasoning Layer to reason over Long Horizon Tasks with LLMsTowards Explorative IRBL: Combining Semantic Retrieval with LLM-driven Iterative Code ExplorationKodezi Chronos: A Debugging-First Language Model for Repository-Scale Code UnderstandingRepeton: Structured Bug Repair with ReAct-Guided Patch-and-Test CyclesMCTS-Refined CoT: High-Quality Fine-Tuning Data for LLM-Based Repository Issue ResolutionSemAgent: A Semantics Aware Program Repair AgentPAGENT: Learning to Patch Software Engineering AgentsCode Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering TasksCode Graph Model (CGM): A Graph-Integrated Large Language Model for
Repository-Level Software Engineering TasksSweRank: Software Issue Localization with Code RankingSWE-Synth: Synthesizing Verifiable Bug-Fix Data to Enable Large Language Models in Resolving Real-World BugsSEAlign: Alignment Training for Software Engineering AgentEnhancing repository-level software repair via repository-aware knowledge graphsDARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by
Adaptive Tree TraversalOrcaLoca: An LLM Agent Framework for Software Issue LocalizationBridging Bug Localization and Issue Fixing: A Hierarchical Localization
Framework Leveraging Large Language ModelsSoRFT: Issue Resolving with Subtask-oriented Reinforced Fine-TuningAutoCodeRover: Autonomous Program ImprovementAgentless: Demystifying LLM-based Software Engineering AgentsSWE-Bench+: Enhanced Coding Benchmark for LLMsTraining Software Engineering Agents and Verifiers with SWE-GymDiversity Empowers Intelligence: Integrating Expertise of Software
Engineering AgentsHyperAgent: Generalist Software Engineering Agents to Solve Coding Tasks
at ScaleMASAI: Modular Architecture for Software-engineering AI AgentsSpecRover: Code Intent Extraction via LLMsSuperCoder2.0: Technical Report on Exploring the feasibility of LLMs as
Autonomous Programmer