Synthetic Benchmark Generation

Overview

Synthetic benchmark generation creates evaluation tasks and datasets when real examples are scarce, costly, private, contaminated, or too fixed to expose specific weaknesses. Approaches include procedural generators and simulators, LLM- or agent-driven task synthesis, and solver-backed construction with executable checks for answers, feasibility, and difficulty. These methods support fresh, adjustable tests across areas such as reasoning, coding, robotics, retrieval, and scientific workflows, often with ground truth known by construction. A central challenge is balancing control and verifiability with realistic, diverse tasks that transfer to real settings, while avoiding artifacts or shared generation and evaluation rules that inflate scores.

Latest papers

CardsList

289 papers26 papers in the last four weeks, down 16% on the four weeks before. 0.2% of all new papers.

  1. ForestSim: A Synthetic Benchmark for Intelligent Vehicle Perception in Unstructured Forest Environments

    Mar 30, 2026Pragat Wagle, Zheng Chen, Lantao LiuAutonomous Driving DatasetsSynthetic Benchmark Generation

  2. SynMVCrowd: A Large Synthetic Benchmark for Multi-view Crowd Counting and Localization

    Mar 25, 2026Qi Zhang, Daijie Chen, Yunfei Gong +1Crowd CountingSynthetic Benchmark Generation

  3. BenchBench: Benchmarking Automated Benchmark Generation

    Mar 21, 2026Yandan Zheng, Haoran Luo, Zhenghong Lin +2Benchmark DesignSynthetic Benchmark Generation

  4. DiscoGen: Procedural Generation of Algorithm Discovery Tasks in Machine Learning

    Mar 18, 2026Alexander D. Goldie, Zilin Wang, Adrian Hayler +17Automated Algorithm DiscoverySynthetic Benchmark Generation

  5. ML-AutoResearch: Training Machine Learning Research Agents with Automatically Generated Environments

    Mar 17, 2026Ziyang Cai, Amir Saeidi, Harkirat BehlAutonomous Research AgentsLLM Agent Training

  6. BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending

    Mar 13, 2026Matteo Ballegeer, Dries F. BenoitSynthetic Benchmark Generation

  7. daVinci-Env: Open SWE Environment Synthesis at Scale

    Mar 13, 2026Dayuan Fu, Shenyu Wu, Yunze Wu +11Software EngineeringLLM Agent Training

  8. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges

    Mar 12, 2026Zi-Han Wang, Lam Nguyen, Zhengyang Zhao +4Computational CreativityCreativity Assessment

  9. LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation

    Mar 10, 2026Lukáš Eigler, Jindřich Libovický, David HurychSynthetic Data EvaluationSynthetic Benchmark Generation

  10. MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal Identifiers

    Mar 9, 2026Ibrahim Baroud, Christoph Otto, Vera Czehmann +4Synthetic Benchmark GenerationClinical NLP

  11. xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth

    Mar 6, 2026Gregor BaerSynthetic Benchmark GenerationInterpretable Time-Series Classification

  12. SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking

    Mar 3, 2026Mertcan Daysalilar, Fuat Uyguroglu, Gabriel Nicolosi +1Synthetic Benchmark GenerationVehicle Routing

  13. Code2Math: Can Your Code Agent Evolve Math Problems Through Exploration?

    Mar 3, 2026Dadi Guo, Yuejin Xie, Qingyu Liu +11Mathematical Problem GenerationSynthetic Benchmark Generation

  14. Tide: A Customisable Dataset Generator for Anti-Money Laundering Research

    Mar 2, 2026Montijn van den Beukel, Jože Martin Rožanec, Ana-Lucia VarbanescuAnti-Money Laundering DetectionSynthetic Data Generation

  15. Adversarial Query Synthesis via Bayesian Optimization

    Mar 2, 2026Jeffrey Tao, Yimeng Zeng, Haydn Thomas Jones +4Synthetic Benchmark GenerationDatabase Systems

  16. BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages

    Feb 28, 2026Jason Lucas, Matt Murtagh-White, Adaku Uchendu +6Fake News DetectionRobustness of Machine-Generated Text Detection

  17. LLM-Driven Multi-Turn Task-Oriented Dialogue Synthesis for Realistic Reasoning

    Feb 27, 2026Yu Zhu, Kai YangSynthetic Benchmark GenerationLLM Reasoning

  18. SPARTA: Scalable and Principled Benchmark of Tree-Structured Multi-hop QA over Text and Tables

    Feb 26, 2026Sungho Park, Jueun Kim, Wook-Shin HanTable QAQuestion Answering

  19. SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy

    Feb 26, 2026Peiyao Xiao, Xiaogang Li, Xinyi Gao +7LLM EvaluationMultimodal Model Evaluation

  20. EvolveGen: Algorithmic Level Hardware Model Checking Benchmark Generation through Reinforcement Learning

    Feb 26, 2026Guangyu Hu, Xiaofeng Zhou, Wei Zhang +1Synthetic Benchmark GenerationFormal Hardware Verification

  21. CaDrift: A Time-dependent Causal Generator of Drifting Data Streams

    Feb 23, 2026Eduardo V. L. Barboza, Jean Paul Barddal, Robert Sabourin +1Synthetic Data GenerationSynthetic Benchmark Generation

  22. Toward Trustworthy Evaluation of Sustainability Rating Methodologies: A Human-AI Collaborative Framework for Benchmark Dataset Construction

    Feb 19, 2026Xiaoran Cai, Wang Yang, Xiyu Ren +3Synthetic Benchmark GenerationHuman-in-the-Loop Evaluation