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5 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Jul 13Week of Sep 28
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Latest papers 24

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  1. From Codebase to Culprit (C2C): Reducing the Search Space for Bugs with Semantic Retrieval and Hierarchical Reinforcement Learning

    Sep 29, 2026Ankur Garg, Corey Yang-Smith, Rishav Rishav +2Bug DetectionBug

    University of Calgary, Canada

  2. WitnessGym: Benchmarking Coding Agents on the Construction of Bug Witnesses

    Sep 29, 2026Haomin Qi, Xiangzhe Xu, Yiming Huang +2BugCoding Agents

    University of California, San Diego · Purdue University · National University of Singapore

  3. SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses

    Sep 20, 2026Xingyu Li, Juefei Pu, Haonan Li +4FuzzingBug

    University of California, Riverside

  4. The Output-Space Hypothesis: Enumerative Equivalence Checking for Tensor Programs

    Sep 17, 2026Paul Biberstein, Joseph Devietti, Mayur NaikCudaBug

    University of Pennsylvania Philadelphia, PA, USA

  5. If It's Not Buggy, Don't Fix It: On the Dynamics of Iterative Bug-fixing with LLMs

    Sep 9, 2026Xietao Wang-Lin, Anton Isopoussu, Louis MahonBugIterative

    University of Warwick · UnlikelyAI

  6. Active-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports

    Aug 5, 2026Haobin Li, Ping Deng, Weizhong Qian +4Bug DetectionCoding Agents

    Sichuan University · University of Electronic Science and Technology of China · Independent Researchers

  7. Validation Evidence in LLM Repair Agents: How Much of What Passes Actually Tests the Bug?

    Jul 30, 2026Xiaonan Xu, Wenjing WuAutomated Program RepairBug

    College of Computing, Georgia Institute of Technology, Atlanta, GA, 30332, USA. · Department of Computer Science, University of Colorado Boulder, Boulder, CO, 80309, USA.

  8. Evaluating VLMs for Autonomous Agent-Driven Geometry Clipping Detection in Video Game QA

    Jul 28, 2026Carlos Celemin, Benedict Wilkins, Adrián Barahona-Ríos +2Gradient ClippingBug

    Sony Interactive Entertainment, London, United Kingdom

  9. How Do LLMs Read Bug Reports? An Empirical Study of Attention in LLMs for Automated Program Repair

    Jul 28, 2026Ramtin Ehsani, Irene Manotas, Saurabh Pujar +2Automated Program RepairBug

    Drexel University Philadelphia, PA, USA · IBM Research Yorktown, NY, USA

  10. Anchored Self-Play for Code Repair

    Jul 3, 2026Caroline Choi, Zeyneb Kaya, Shirley Wu +3Automated Program RepairRepair

    Department of Computer Science, Stanford University, Stanford, CA, USA.

  11. An Exploratory Study on LLM-Generated Code and Comments in Code Repositories

    Jul 2, 2026Yongyi Ji, Jiaji Wang, Yi Zhou +2Code QualityCode Generation

    School of Computing and Mathematical Sciences, University of Leicester, University Road, Leicester, LE1 7RH, United Kingdom

  12. Chai: Agentic Discovery of Cryptographic Misuse Vulnerabilities

    Jun 25, 2026Corban Villa, Sohee Kim, Austin Chu +2BugAgentic Discovery

    UC Berkeley

  13. Test-Input Generation for Tensor Programs: What Actually Finds Kernel Bugs

    Jun 23, 2026Dipankar SarkarFuzzingTest Generation

    Arizona State University, USA

  14. Before the Model Learns the Bug:Fuzzing RLVR Verifiers

    May 31, 2026Jaideep RayReinforcement Learning With Verifiable RewardVerifiable Rewards

  15. Turning Bias into Bugs: Bandit-Guided Style Manipulation Attacks on LLM Judges

    May 24, 2026Xianglin Yang, Bryan Hooi, Gelei Deng +2Llm-As-A-JudgeAttacker Large Language Model

    School of Computing, National University of Singapore, Singapore · Nanyang Technological University, Singapore

  16. Empirical Analysis and Detection of Hallucinations in LLM-Generated Bug Report Summaries

    May 22, 2026Hinduja Nirujan, Shreyas Patil, Abdallah Ayoub +2Citation Hallucination DetectionBug

    Electrical and Software Engineering University of Calgary Calgary, Alberta, Canada

  17. Bug or Feature2^2: Weight Drift, Activation Sparsity and Spikes

    May 17, 2026Egor Shvetsov, Aleksandr Serkov, Shokorov Viacheslav +3Activation FunctionsDeep Learning Architectures

  18. Automated Root-Cause Subclassification and No-Code Fix Generation for Invalid Bug Reports

    May 17, 2026Mahmut Furkan Gon, Emre Dinc, Tevfik Emre Sungur +1BugCode Generation

    Department of Computer Engineering, Bilkent University, Ankara, T̈urkiye.

  19. Benchmarking Mythos-Linked Bug Rediscovery

    May 17, 2026Isaac David, Arthur GervaisBugCommon Vulnerabilities And Exposure

    University College London

  20. ImproBR: Bug Report Improver Using LLMs

    Apr 28, 2026Emre Furkan Akyol, Mehmet Dedeler, Eray TüzünBugReproducibility

    Bilkent University Ankara, Türkiye

  21. Bug-Report-Driven Fault Localization: Industrial Benchmarking and Lesson Learned at ABB Robotics

    Apr 28, 2026Pernilla Hall, Anton Ununger, Riccardo Rubei +1Fault DiagnosisBug Detection

    ABB Robotics · Sweden · Mälardalen University

  22. Human-Machine Co-Boosted Bug Report Identification with Mutualistic Neural Active Learning

    Apr 20, 2026Guoming Long, Shihai Wang, Hui Fang +1BugPool-Based Active Learning

    University of Electronic Science and Technology of China, Chengdu, China · Loughborough University, Loughborough, United Kingdom · IDEAS Lab, University of Birmingham, Birmingham, United Kingdom

  23. AnyPoC: Universal Proof-of-Concept Test Generation for Scalable LLM-Based Bug Detection

    Apr 13, 2026Zijie Zhao, Chenyuan Yang, Weidong Wang +3Bug DetectionBug

    University of Illinois Urbana-Champaign, Champaign, USA

  24. Learning Bug Context for PyTorch-to-JAX Translation with LLMs

    Oct 10, 2025Hung Phan, Son Vu, Tuan Dinh +3Code GenerationPytorch

    Department of Computer Science, Iowa State University, Ames, IA, USA · Department of Human Science, Iowa State University, Ames, IA, USA · Subquadratic AI, Miami, Florida, USA +1