GeCoIn

Generative Code Intelligence Workshop

Date Icon August 16, 2026
Location Icon Bremen, Germany

In conjunction with IJCAI-ECAI 2026

Workshop Program

Workshop Program

The workshop will be held on one day on August 16, 2026 as part of the IJCAI-ECAI 2026 conference.

The workshop program will include a 40-minute keynote, 25-minute paper presentations, and 10-minute short paper presentations, with the remaining time reserved for questions and discussion.

Program Schedule

09:00 - 10:30

Session 1: Opening, Keynote & Security

09:00 - 09:10: Welcome & Opening Remarks

09:10 - 10:00: Invited Talk (50 minutes) - Giulio Zizzo, IBM Research

10:00 - 10:30: Mitigating Keyword Bias in Java Vulnerability Detection through Dual-Stream CodeBERT with Security Feature Engineering
Arjun Khurana, Talaya Farasat, Joachim Posegga and Florian Lemmerich

10:30 - 11:00

Coffee Break

11:00 - 12:30

Session 2: AI Agents and Pipeline Generation

11:00 - 11:30: ML2B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation
Ekaterina Trofimova, Zosya Shamina, Maria Selifanova, Artem Zaitsev, Remi Savchuk, Maxim Minets, Daria Ozerova, Emil Sataev, Denis Zuenko and Andrey Ustyuzhanin

11:30 - 12:00: Spec2Vision: Contract-Guided Delivery of AI-Generated Computer Vision Pipelines
Ghfran Jabour and Sergey Ivanov

12:00 - 12:30: Framing Writing as Code Generation: An Agentic LaTeX IDE for Scientific Manuscript Composition
Zhisheng Tang and Mayank Kejriwal

12:30 - 14:00

Lunch Break

14:00 - 15:30

Session 3: HPC and GPU Code Optimization

14:00 - 14:30: Agent Harnesses for GPU Kernel Optimization: A Taxonomy of Failure Modes and Design Implications
Alexandru Gherghescu, Will Martin and Rio Yokota

14:30 - 15:00: LLM-Based Porting of Optimized C++ to CUDA Through Deoptimization and Reoptimization
Daichi Mukunoki, Ryo Mikasa, Shun-Ichiro Hayashi, Tetsuya Hoshino and Takahiro Katagiri

15:00 - 15:30: HPC-AutoResearch: Adapting Autonomous Research Systems for HPC through Split-Phase Execution and LLM-Based Code Generation
Takanori Kotama, Shun-Ichiro Hayashi, Daichi Mukunoki, Rio Yokota, Satoshi Ohshima, Tetsuya Hoshino and Takahiro Katagiri

15:30 - 16:00

Coffee Break

16:00 - 17:00

Session 4: Code Maintenance & Emerging Workflows

16:00 - 16:30: Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair
Mohammad Nour Al Awad and Sergey Ivanov

16:30 - 16:45: Beyond Text-Only Code Generation: Dynamic Visual Understanding in Software Engineering
Tuan Tran Anh, László Kopácsi and Daniel Sonntag - Extended Abstract

16:45 - 17:00: ClimateClaw: Repository-Grounded Code Generation for Executable Scientific Analysis Workflows on HPC Systems
Gizem Ekinci, Alexander Fischer, Sebastian Willmann, Koketso Molepo, Johanna Baehr, Kevin Sieck, Chao Li, Felix Oertel, Bianca Wentzel, Thomas Ludwig, Martin Bergemann, Jan Saynisch-Wagner and Christopher Kadow - Extended Abstract

17:00

Workshop Conclusion

Keynote Presentation

Invited Talk: Giulio Zizzo

Giulio Zizzo
IBM Research

Accepted Papers

Mitigating Keyword Bias in Java Vulnerability Detection through Dual-Stream CodeBERT with Security Feature Engineering

Arjun Khurana, Talaya Farasat, Joachim Posegga and Florian Lemmerich

ML2B: Benchmarking LLMs on Cross-Lingual ML Pipeline Generation

Ekaterina Trofimova, Zosya Shamina, Maria Selifanova, Artem Zaitsev, Remi Savchuk, Maxim Minets, Daria Ozerova, Emil Sataev, Denis Zuenko and Andrey Ustyuzhanin

Spec2Vision: Contract-Guided Delivery of AI-Generated Computer Vision Pipelines

Ghfran Jabour and Sergey Ivanov

Framing Writing as Code Generation: An Agentic LaTeX IDE for Scientific Manuscript Composition

Zhisheng Tang and Mayank Kejriwal

Agent Harnesses for GPU Kernel Optimization: A Taxonomy of Failure Modes and Design Implications

Alexandru Gherghescu, Will Martin and Rio Yokota

LLM-Based Porting of Optimized C++ to CUDA Through Deoptimization and Reoptimization

Daichi Mukunoki, Ryo Mikasa, Shun-Ichiro Hayashi, Tetsuya Hoshino and Takahiro Katagiri

HPC-AutoResearch: Adapting Autonomous Research Systems for HPC through Split-Phase Execution and LLM-Based Code Generation

Takanori Kotama, Shun-Ichiro Hayashi, Daichi Mukunoki, Rio Yokota, Satoshi Ohshima, Tetsuya Hoshino and Takahiro Katagiri

Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair

Mohammad Nour Al Awad and Sergey Ivanov

Beyond Text-Only Code Generation: Dynamic Visual Understanding in Software Engineering

Tuan Tran Anh, László Kopácsi and Daniel Sonntag

Extended Abstract

ClimateClaw: Repository-Grounded Code Generation for Executable Scientific Analysis Workflows on HPC Systems

Gizem Ekinci, Alexander Fischer, Sebastian Willmann, Koketso Molepo, Johanna Baehr, Kevin Sieck, Chao Li, Felix Oertel, Bianca Wentzel, Thomas Ludwig, Martin Bergemann, Jan Saynisch-Wagner and Christopher Kadow

Extended Abstract

Call for Papers

This workshop aims to offer a shared venue for researchers and practitioners involved in the design, development, and application of generative AI technologies, such as large language models (LLMs), to engage with experts in software engineering, security and verification.

Reasons behind the idea of this workshop arise from the widespread adoption of those cutting-edge AI technologies in the creation of code, which is prevalent in both academic research and industrial settings. As the utilization of these powerful tools continues to grow, there is an increasing necessity to ensure that the code they generate is secure and safe, ideally free from vulnerabilities.

However, controlling AI code generation is challenging because modern, often commercially-used, models operate as black boxes and frequently lack awareness of their own inaccuracies. As a consequence, AI generated code could introduce serious weaknesses in a source code corpora, which could become potentially difficult to identify when the AI tools are used massively. Roads towards a solution to this issue are numerous and open research questions in various fields: static analysis, security, benchmarking, fine-tuning or custom training of AI models, software engineering, explainable AI, and so on.

By bringing together experts from these communities, the workshop aims to foster interdisciplinary collaboration and facilitate the sharing of knowledge, providing a common ground of discussion about possible solutions to this challenge.

Scope

We invite submissions on all aspects related to generative code intelligence, including but not limited to:

Important Dates

Paper Submission Deadline

May 14th, 2026 May 21st, 2026

Notification of Acceptance

June 12th, 2026

Camera-Ready Papers Due

July 15th, 2026

Workshop Date

August 16, 2026

All deadlines are 23:59 AoE (Anywhere on Earth) on the specified date.

Submission Guidelines

We invite submissions in the following two categories:

Regular Papers

Maximum 8 pages excluding references. These submissions should describe work that advances the current state of the art in the above or related areas.

Oral Presentations

Abstract only. These submissions could describe work in progress, tools, experiments, overviews, or improvements over existing work, in the above or related areas.


All submissions must be in English and follow the CEUR single column format. Papers should be submitted only through the workshop's submission system. All submissions will undergo a double-blind peer review process.

Paper will be submitted as PDF documents through EasyChair at this link https://easychair.org/conferences/?conf=gecoin2026.

The template for the submission can be found at this link https://www.overleaf.com/read/tssqrwhptnqy#c912f0.

All submissions will be peer-reviewed by at least three members of the program committee for quality and relevance.

We plan to include all regular papers in the Proceedings of the event, published at CEUR WS proceedings. CEUR WS proceedings are archival proceedings indexed by DBLP and Scopus.

Organization

Eleonora Iotti

Eleonora Iotti

University of Parma

Italy

Vincenzo Arceri

Vincenzo Arceri

University of Parma

Italy

Greta Dolcetti

Greta Dolcetti

Ca' Foscari University of Venice

Italy

Sergio Maffeis

Sergio Maffeis

Imperial College London

United Kingdom

Program Committee

Abhishek Dharmaratnakar

Google

Adam Jones

Imperial College London

Aditya V Thakur

University of California Davis

Dalila Ressi

Ca' Foscari University of Venice

Davide Taibi

University of Southern Denmark - Vejle & University of Oulu - Finland

Giulio Zizzo

IBM Research

Lorenzo Cazzaro

University of Luxembourg

Lucas Cordeiro

The University of Manchester

Penghui Li

Columbia University

Past Editions

2025

GeCoIn @ IJCAI-ECAI 2026

26th October 2025 — Bologna, Italy

View Edition →