Saving SWE-Bench: A Benchmark Mutation Approach for Realistic Agent Evaluation
Fuente:
arXiv
Saved in:
| Main Authors: | Garg, Spandan, Steenhoek, Benjamin, Huang, Yufan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
by: Liang, Shanchao, et al.
Published: (2025)
by: Liang, Shanchao, et al.
Published: (2025)
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
by: Sahoo, Priyam, et al.
Published: (2026)
by: Sahoo, Priyam, et al.
Published: (2026)
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
by: Garg, Spandan, et al.
Published: (2026)
by: Garg, Spandan, et al.
Published: (2026)
PerfBench: Can Agents Resolve Real-World Performance Bugs?
by: Garg, Spandan, et al.
Published: (2025)
by: Garg, Spandan, et al.
Published: (2025)
SWE Context Bench: A Benchmark for Context Learning in Coding
by: Zhu, Jiayuan, et al.
Published: (2026)
by: Zhu, Jiayuan, et al.
Published: (2026)
RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot
by: Garg, Spandan, et al.
Published: (2023)
by: Garg, Spandan, et al.
Published: (2023)
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
by: Merrill, Mike A., et al.
Published: (2026)
by: Merrill, Mike A., et al.
Published: (2026)
SWE-Bench-CL: Continual Learning for Coding Agents
by: Joshi, Thomas, et al.
Published: (2025)
by: Joshi, Thomas, et al.
Published: (2025)
SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?
by: Han, Tingxu, et al.
Published: (2026)
by: Han, Tingxu, et al.
Published: (2026)
CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)
by: Roy, Monoshi Kumar, et al.
Published: (2025)
RefactorBench: Evaluating Stateful Reasoning in Language Agents Through Code
by: Gautam, Dhruv, et al.
Published: (2025)
by: Gautam, Dhruv, et al.
Published: (2025)
SWE-Factory: Your Automated Factory for Issue Resolution Training Data and Evaluation Benchmarks
by: Guo, Lianghong, et al.
Published: (2025)
by: Guo, Lianghong, et al.
Published: (2025)
SWE-QA: A Dataset and Benchmark for Complex Code Understanding
by: Elkoussy, Laïla, et al.
Published: (2026)
by: Elkoussy, Laïla, et al.
Published: (2026)
SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades
by: Lam, Man Ho, et al.
Published: (2026)
by: Lam, Man Ho, et al.
Published: (2026)
When Agents go Astray: Course-Correcting SWE Agents with PRMs
by: Gandhi, Shubham, et al.
Published: (2025)
by: Gandhi, Shubham, et al.
Published: (2025)
SWE-Effi: Re-Evaluating Software AI Agent System Effectiveness Under Resource Constraints
by: Fan, Zhiyu, et al.
Published: (2025)
by: Fan, Zhiyu, et al.
Published: (2025)
SPICE: An Automated SWE-Bench Labeling Pipeline for Issue Clarity, Test Coverage, and Effort Estimation
by: Oliva, Gustavo A., et al.
Published: (2025)
by: Oliva, Gustavo A., et al.
Published: (2025)
TOM-SWE: User Mental Modeling For Software Engineering Agents
by: Zhou, Xuhui, et al.
Published: (2025)
by: Zhou, Xuhui, et al.
Published: (2025)
Dissecting the SWE-Bench Leaderboards: Profiling Submitters and Architectures of LLM- and Agent-Based Repair Systems
by: Martinez, Matias, et al.
Published: (2025)
by: Martinez, Matias, et al.
Published: (2025)
SWE-bench Goes Live!
by: Zhang, Linghao, et al.
Published: (2025)
by: Zhang, Linghao, et al.
Published: (2025)
SWE-Next: Scalable Real-World Software Engineering Tasks for Agents
by: Liang, Jiarong, et al.
Published: (2026)
by: Liang, Jiarong, et al.
Published: (2026)
Re-Evaluating Code LLM Benchmarks Under Semantic Mutation
by: Pan, Zhiyuan, et al.
Published: (2025)
by: Pan, Zhiyuan, et al.
Published: (2025)
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
by: Zan, Daoguang, et al.
Published: (2025)
by: Zan, Daoguang, et al.
Published: (2025)
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
by: Kumarappan, Adarsh, et al.
Published: (2026)
by: Kumarappan, Adarsh, et al.
Published: (2026)
SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback
by: Kumar, Deepak
Published: (2026)
by: Kumar, Deepak
Published: (2026)
CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
by: Kim, Myeongsoo, et al.
Published: (2025)
by: Kim, Myeongsoo, et al.
Published: (2025)
PBT-Bench: Benchmarking AI Agents on Property-Based Testing
by: Jing, Lucas, et al.
Published: (2026)
by: Jing, Lucas, et al.
Published: (2026)
StressWeb: A Diagnostic Benchmark for Web Agent Robustness under Realistic Interaction Variability
by: Bai, Haoyue, et al.
Published: (2026)
by: Bai, Haoyue, et al.
Published: (2026)
SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration
by: Chen, Jialong, et al.
Published: (2026)
by: Chen, Jialong, et al.
Published: (2026)
SWE-AGI: Benchmarking Specification-Driven Software Construction with MoonBit in the Era of Autonomous Agents
by: Zhang, Zhirui, et al.
Published: (2026)
by: Zhang, Zhirui, et al.
Published: (2026)
ProjDevBench: Benchmarking AI Coding Agents on End-to-End Project Development
by: Lu, Pengrui, et al.
Published: (2026)
by: Lu, Pengrui, et al.
Published: (2026)
SWE-Compass: Towards Unified Evaluation of Agentic Coding Abilities for Large Language Models
by: Xu, Jingxuan, et al.
Published: (2025)
by: Xu, Jingxuan, et al.
Published: (2025)
SWE-bench-java: A GitHub Issue Resolving Benchmark for Java
by: Zan, Daoguang, et al.
Published: (2024)
by: Zan, Daoguang, et al.
Published: (2024)
LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering
by: Qiu, Jielin, et al.
Published: (2025)
by: Qiu, Jielin, et al.
Published: (2025)
FrontendBench: A Benchmark for Evaluating LLMs on Front-End Development via Automatic Evaluation
by: Zhu, Hongda, et al.
Published: (2025)
by: Zhu, Hongda, et al.
Published: (2025)
ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents
by: Shen, Haiyang, et al.
Published: (2024)
by: Shen, Haiyang, et al.
Published: (2024)
SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks
by: Adamenko, Pavel, et al.
Published: (2025)
by: Adamenko, Pavel, et al.
Published: (2025)
GitGoodBench: A Novel Benchmark For Evaluating Agentic Performance On Git
by: Lindenbauer, Tobias, et al.
Published: (2025)
by: Lindenbauer, Tobias, et al.
Published: (2025)
DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
by: Gao, Zeyu, et al.
Published: (2025)
by: Gao, Zeyu, et al.
Published: (2025)
Similar Items
-
Debug2Fix: Can Interactive Debugging Help Coding Agents Fix More Bugs?
by: Garg, Spandan, et al.
Published: (2026) -
The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of Reason
by: Liang, Shanchao, et al.
Published: (2025) -
AgentLens: Revealing The Lucky Pass Problem in SWE-Agent Evaluation
by: Sahoo, Priyam, et al.
Published: (2026) -
Terminus-4B: Can a Smaller Model Replace Frontier LLMs at Agentic Execution Tasks?
by: Garg, Spandan, et al.
Published: (2026) -
PerfBench: Can Agents Resolve Real-World Performance Bugs?
by: Garg, Spandan, et al.
Published: (2025)