Code Language Models

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10 papers in the last four weeks, up 150% on the four weeks before. 0.1% of all new papers.

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  1. Mind the Gaps: From Failure Attribution to Closed-Form Repair of Code Language Models

    Oct 4, 2026Jian Gu, Hongyu Zhang, Chunyang Chen +1Causal Interventions in Language ModelsCode Language Models

    Monash University, Australia · Chongqing University, China · Technical University of Munich, Germany

  2. Hidden in the Comments: A Context-Injection Attack Surface in Code LLMs

    Oct 4, 2026Noor Munir, Francesco Quinzan, Stephen RobertsLLM SecurityIndirect Prompt Injection

    Department of Engineering Science, University of Oxford, Oxford OX1 3PJ, UK

  3. Complexity-Aware Evaluation of LLM Comprehension

    Sep 29, 2026Ali Mohammadi Esfahani, Nafiseh Kahani, Samuel A. AjilaSoftware EngineeringLLM Evaluation

    Systems and computer Engineering Carleton University Ottawa, Canada

  4. UNBIND: UNlearning By INference-time Directional Steering for Code LLMs

    Sep 28, 2026Zhengyang Shan, Jiayun Xin, Yanjun Lin +7Activation SteeringLLM Unlearning

    Department of Computer Science and Technology Shandong University Qingdao, China

  5. Style, Not Self: Surface Cues Explain Zero-Shot Code Attribution by Large Language Models

    Sep 24, 2026Ehsan Barkhordar, Surendrabikram ThapaLLM EvaluationLanguage Model Generation Evaluation

    Koç University · Virginia Tech

  6. On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality

    Sep 22, 2026Xin Shen, San-Zhuo Xi, Yali Du +1Language Model RobustnessCode Language Models

    Nanjing University, Nanjing, China

  7. An Empirical Evaluation of Cost-Efficient Large Language Models on Algorithmic Programming Tasks

    Sep 16, 2026Chandimal Adikari, Nandika HerathCode GenerationLLM Reliability

    Faculty of Engineering and Information Sciences University of Wollongong Wollongong, Australia · Faculty of Engineering, Computing and Science Western Sydney University Parramatta, Australia

  8. Retrieval-Augmented Generation for Scientific Code Understanding

    Sep 14, 2026Aaron Nobile, Andreas Adelmann, Mohsen SadrRetrieval-Augmented GenerationLLM Grounding

    Department of Physics, ETH Zürich, 8093 Zürich, Switzerland · Paul Scherrer Institute, 5232 Villigen PSI, Switzerland · Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  9. The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption

    Sep 10, 2026Sales G. Aribe Jr., Louie Jay S. LabastidaCode Generation EvaluationHuman-AI Collaboration

    Information Technology Department, Bukidnon State University, Malaybalay City, Philippines

  10. CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

    Sep 7, 2026Daria Voronkova, Ilya Trofimov, Anton Dmitriev +3LLM Hallucination DetectionCode Generation Evaluation

    Applied AI Institute · AXXX · IMJ CNRS

  11. CROCODIL: Cross-Model Code Editing with LLMs

    Sep 3, 2026Linghan Zhong, Aditya Thimmaiah, Jayanth Srinivasa +2Reinforcement LearningLLM Post-Training

    1The University of Texas at Austin · 2Cisco Research

  12. Hints Help But Do They Teach? Evaluating Skills Transfer in Code Generation

    Sep 1, 2026Will BadrLanguage Model Generation EvaluationLLM Prompting

  13. Predicting Program Exit Code with LLMs and Programming Language Semantics

    Sep 1, 2026Lara Marinov, Aditya Thimmaiah, Jayanth Srinivasa +2LLM EvaluationCode Language Models

    The University of Texas at Austin · Cisco Research

  14. Memorization Diagnostics for Code LLMs Should be Scale-Aware

    Aug 13, 2026Prateek Kumar Rajput, Abdoul Aziz Bonkoungou, Alberick Euraste Djiré +6Memorization in Language ModelsCode Language Models

    University of Luxembourg, Esch-sur-Alzette, Luxembourg.

  15. On the Robustness of LLMs' Internal Representation of Code Correctness

    Aug 8, 2026Francisco Ribeiro, Sohaila Abdulsattar, Renata Gonzalez +2LLM ReliabilityLanguage Model Robustness

    New York University Abu Dhabi Abu Dhabi, United Arab Emirates

  16. LangChoiceBench: Measuring and Explaining Programming-Language Choice in LLMs

    Aug 6, 2026Lukas Twist, Twm Stone, Helen Yannakoudakis +1LLM EvaluationLanguage Model Bias Evaluation

    King’s College London, London, UK · MATS Research

  17. OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modeling

    Aug 5, 2026Indraneil Paul, Falko Helm, Goran Glavaš +1Software EngineeringLong-Context Language Modeling

    UKP Lab & Center for Applied Cybersecurity ATHENE, TU Darmstadt · CAIDAS, University of Würzburg

  18. To Add Is Machine, To Delete Is Human: Measuring and Mitigating Deletion Avoidance in LLM Code Editing

    Jul 30, 2026Amir M. Ebrahimi, Mohammed Mehedi Hasan, Aaditya Bhatia +2LLM ReliabilityLanguage Model Editing

    School of Computing, Queen’s University, Kingston, Ontario, Canada

  19. Learning from 53.6K Real-World Developer Edits of AI-Generated Code

    Jul 27, 2026Jenny T. Liang, Mihika Bairathi, Wayne Chi +3Code Generation EvaluationCode Language Models

    Carnegie Mellon University

  20. Wrong Design Intent Is Worse Than Never Conditioning: A Derangement-Control Diagnosis of Header Conditioning in CAD Program Completion

    Jul 25, 2026Yang XiaoCode GenerationLLM-Based Program Synthesis

    Sichuan University

  21. What, Where, and How: Disentangling the Roles of Task, Language, and Model in Code Model Representations

    Jul 23, 2026Piotr WilamCircuit DiscoveryLanguage Model Introspection

    University College London

  22. Transformer-Assisted LLM-Based Source Code Summarisation: to Enable More Secure Software Development

    Jul 23, 2026Jesse Phillips, Tracy Hall, Paul Rayson +1Code Language Models

    School of Computing and Communications, Lancaster University, UK · School of Computing · College of Engineering & Computer Science, VinUniversity, Vietnam

  23. Form, Not Content? A Preregistered, Placebo-Controlled Evaluation of Learned Error-Conditioned Self-Repair Through Prompts and Weights in Frozen Small Code Models

    Jul 14, 2026Mehmet IscanLLM Self-CorrectionAutomated Program Repair

    PythaLab, Yıldız Technical University, Istanbul, Turkey

  24. Line-Anchored Feedback Cuts Token Costs and Improves Correctness in AI Code Editing

    Jul 14, 2026William Franz LambertiCode Generation EvaluationCode Language Models

    Computational and Data Sciences College of Science George Mason University Fairfax, VA, United States

  25. Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

    Jul 14, 2026Yubo Wang, Jiarong Liang, Yuxuan Zhang +5Masked Language ModelingCoding Agents

    University of Waterloo · 5Vector Institute · University of British Columbia +2

  26. Code-MUE: Measuring Code LLMs' Uncertainty through Execution-based Semantic Interaction Graphs

    Jul 14, 2026Xiaoning Ren, Yinxing Xue, Lei Ma +1Uncertainty QuantificationLLM Uncertainty Estimation

    Xi’an Jiaotong University, China · Institute of AI for Industries, Chinese Academy of Sciences, China · The University of Tokyo, Japan +1

  27. Fail-Aware and Explainable Test Oracle Prediction

    Jul 13, 2026Yue Zhao, Binish Tanveer, Jelena ZdravkovicAutomated Software TestingFault Detection

    Department of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden

  28. TypeProbe: Recovering Type Representations from Hidden States of Pre-trained Code Models

    Jul 9, 2026Giuliano Gorgone, Fausto CarcassiLLM InterpretabilityRepresentation Geometry in Language Models

    ILLC, University of Amsterdam, Amsterdam, The Netherlands

  29. Beware What You Autocomplete: Forensic Attribution of Backdoored Code Completions

    Jul 9, 2026Anjun Gao, Yueyang Quan, Zhuqing Liu +1LLM Backdoor AttacksBackdoor Detection

    University of Louisville · University of North Texas

  30. Functional and Secure Code Generation with Task Vectors

    Jul 8, 2026Felix Wang, Anudeep Das, Mei Nagappan +1Code GenerationLLM Safety Alignment

    University of Waterloo, Waterloo, ON, Canada · KTH Royal Institute of Technology, Stockholm, Sweden