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

  31. Obey, Diverge, Collapse: Blind Obedience to Incorrect Instructions Drives Code LLMs to Irrecoverable Code Semantic Collapse

    Jul 5, 2026Raj Jaiswal, Anany Singh Divy, Savar Bhasin +3LLM Self-CorrectionAutomated Program Repair

    IIIT Delhi · Microsoft Research India · IIT Kanpur

  32. Teaching Code LLMs to Reason with Intermediate Formal Specifications

    Jul 5, 2026Minh Le-Anh, Cuong Chi Le, Tien N. NguyenFormal VerificationCode Language Models

    FPT Software AI Center Hanoi Univ. of Science and Tech. Hanoi, Vietnam · University of Texas at Dallas Texas, USA

  33. Benchmarking Large Language Models on Floating-Point Error Classification

    Jun 30, 2026Lisa Taldir, Muhammad Ahmad Saeed, David Defour +2LLM EvaluationStatic Code Analysis

    LI-PaRAD · Université de Perpignan via Domitia, Perpignan, France · Université Paris-Saclay, UVSQ, France +1

  34. SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models

    Jun 29, 2026Shuaimin Li, Liyang Fan, Zeyang Li +9LLM EvaluationLLM Auditing

    Shenzhen Key Laboratory for High Performance Data Mining, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · Shenzhen University · Artificial Intelligence Research Institute, Shenzhen University of Advanced Technology +5

  35. When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs

    Jun 26, 2026Xinyuan Song, Zekun Cai, Liang ZhaoSelf-TrainingModel Collapse

    Emory University, Atlanta, GA, USA · The University of Tokyo, Tokyo, Japan · LocationMind, Tokyo, Japan

  36. Weave of Formal Thought

    Jun 24, 2026Alexandre BouayadCode Language ModelsLLM Code Generation

  37. Recall Before Rerank: Benchmarking Deep Learning Models for Large-Scale Code-to-Code Retrieval

    Jun 24, 2026Leonardo Venuta, Francesco Tosoni, Paolo FerraginaLLM EvaluationSemantic Search

    Sant’Anna School of Advanced Studies, Pisa, Italy

  38. Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection

    Jun 23, 2026Ruslan Berdichevsky, Shai Nahum-Gefen, Elad Ben-ZakenOOD GeneralizationCode Language Models

    Dream Security Ltd. Tel Aviv, Israel

  39. From Brewing to Resolution: Tracing the Internal Lifecycle of Code Reasoning in LLMs

    Jun 16, 2026Siyue Chen, Yifu Guo, Yuquan Lu +9LLM InterpretabilityCode Language Models

    1South China University of Technology · 2Sun Yat-sen University · 4Shanghai Jiao Tong University +5

  40. Beyond Correctness: Enhancing Architectural Reasoning in Code LLMs via Scalable Labeling with Agentic Judgment

    Jun 12, 2026Kirill Vasilevski, Ximing Dong, Benjamin Rombaut +8Software Engineering AgentsLLM-as-a-Judge

    Justina · Centre for Software Excellence, Huawei Canada · School of Computing, Queen’s University, Canada +1

  41. Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation

    Jun 12, 2026Carlo Di CiccoCode Language ModelsLLM Code Generation

    Independent researcher.

  42. Detecting Functional Memorization in Code Language Models

    Jun 11, 2026Matthieu Meeus, Anil Ramakrishna, Matthew Grange +2Memorization in Language ModelsLLM Auditing

    Meta · Imperial College London

  43. CODEBLOCK: Learning to Supervise Code at the Right Granularity

    Jun 10, 2026Zhijie Deng, Ling Li, Jinlong Pang +5Supervised Fine-TuningCode Language Models

    Hong Kong University of Science and Technology (Guangzhou) · UC Santa Cruz · Ant Group +1

  44. CodeAlchemy: Synthetic Code Rewriting at Scale

    Jun 8, 2026Ankit Gupta, Aditya Prasad, Rameswar PandaSynthetic Data PretrainingSynthetic Data Generation

    MIT-IBM Watson AI Lab, IBM Research

  45. Code Is More Than Text: Uncertainty Estimation for Code Generation

    Jun 8, 2026Yuling Shi, Caiqi Zhang, Yuexian Li +4Confidence Estimation in Language ModelsLLM Reliability

    Shanghai Jiao Tong University · University of Cambridge

  46. Beyond Pass Rate: A Multilingual, Execution-Grounded Evaluation of Open Code LLMs

    Jun 7, 2026Sayed Erfan ArefinCode Generation EvaluationCode Language Models

    Department of Computer Science University of Dayton Dayton, OH 45469, USA

  47. Lost in the Flow with Code Talkers: Unveiling the Instruction-Tuning Tax of Large Language Models in Code Tasks

    Jun 7, 2026Shi Ying Chang, Chiok Yew Ho, Yichen Li +1Instruction TuningCode Generation Evaluation

    The Chinese University of Hong Kong, China

  48. Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution

    Jun 4, 2026Liliana Hotsko, Yinxi Li, Yuntian Deng +1Software EngineeringLLM Fine-Tuning

    University of Waterloo

  49. NovelAPIBench: Diagnosing How A Code LLM Learns to Use Novel APIs

    Jun 2, 2026Jinnuo Liu, Yue Peng, Jinhan Niu +1Knowledge Augmentation for Language ModelsLLM Fine-Tuning

    NYU Shanghai

  50. Code as a Weapon: A Consensus-Labeled Prompt Bank for Measuring Coding-Model Compliance with Malicious-Code Requests

    May 27, 2026Richard J. Young, Gregory D. MoodyClassificationLLM Safety Evaluation

    University of Nevada Las Vegas · Department of Information Systems · Las Vegas, NV, USA

  51. Poison with Style: A Practical Poisoning Attack on Code Large Language Models

    May 26, 2026Khang Tran, Yazan Boshmaf, Issa Khalil +3LLM Backdoor AttacksData Poisoning Attacks

    Department of Data Science, New Jersey Institute of Technology, New Jersey, U.S.A. · Qatar Computing Research Institute, HBKU, Doha, Qatar · Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates

  52. Merge-Bench: Resolve Merge Conflicts with Large Language Models

    May 25, 2026Benedikt Schesch, Michael D. ErnstSoftware EngineeringCode Language Models

    Amazon · University of Washington, USA

  53. CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer

    May 23, 2026Piotr WilamTransformer InterpretabilityCircuit Discovery

    University College London

  54. TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs

    May 22, 2026Yifeng Di, Xuliang Huang, Tianyi ZhangLLM AuditingData Contamination in Language Models

    Purdue University West Lafayette, IN · University of Illinois Urbana-Champaign Champaign, IL

  55. Echo: Learning from Experience Data via User-Driven Refinement

    May 21, 2026Hande Dong, Xiaoyun Liang, Jiarui Yu +15Continual Learning for LLM AgentsLLM Agent Self-Improvement

    Tencent, CodeBuddy

  56. The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort

    May 16, 2026Aleksandr ChurilovLLM EvaluationHallucination in Language Models

    Independent Researcher

  57. Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language

    May 15, 2026Vinayshekhar Bannihatti Kumar, Disha Makhija, Manoj Ghuhan Arivazhagan +1LLM Fine-TuningCode Language Models

    AWS AI Labs

  58. Correctness-Aware Repository Filtering Under Maximum Effective Context Window Constraints

    May 14, 2026Shweta MishraLLM Context ManagementCode Language Models

    Independent Researcher

  59. Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study

    May 13, 2026Nils Loose, Joseph Bienhüls, Kristoffer Hempel +2Software Vulnerability DetectionSoftware Engineering Benchmarks

    University of Lübeck Institute for IT Security Lübeck, Germany

  60. SemChunk-C: Semantic Segmentation for C Code

    May 12, 2026Boris Nazarov, Darya Frolova, Shaked Leibzirer +1Small Language ModelsCode Language Models