Over the last decade, code generation techniques have rapidly grown at a tremendous rate, on the basis of large language models (LLMs). Today, we stand at the frontier of a new era where CodeLLMs are not just tools for code generation and completion, but intelligent collaborators capable of reasoning, debugging, and co-designing complex software systems.
This event brings together leading researchers and practitioners who are shaping the next generation of AI-powered Software Engineering. We invite distinguished speakers from around the world, each bringing innovative perspectives and groundbreaking ideas to advance the frontiers of CodeLLM research and intelligent software development.
We hope you enjoy the state-of-the-art research, inspiring new ideas, and valuable opportunities to connect with fellow researchers throughout this workshop !!!
Woonoh IT Hall @ Korea University
Kakao Map: https://place.map.kakao.com/1991433382
Google Maps: https://maps.app.goo.gl/whphTirpRkecZij96
Open Street Map: https://www.openstreetmap.org/#map=18/37.584790/127.028743
Basically, you need to get to Anam Station (Metro Line 6).
- By public transportation from the conference hotel
- By taxi or Uber from the conference hotel
Venue: Room 609, Woonoh IT Hall
- 14:00pm / Opening
- 14:30pm / Tobias Kiecker / Dependency Debloating via Method Replacement (with LLMs)
- 15:00pm / Honghao Tan / Coverage-Based Harmfulness Testing for LLM Code Transformation
- 15:30pm / Zhou Yang / Advancing Software, Society, and Security with Trusted Intelligence
- 16:00pm / Chaiyong Ragkhitwetsagul / Social Media Reactions to Open Source Promotions: AI-Powered GitHub Projects on Hacker News
- 16:30pm / Jieke Shi / Optimizing and Fortifying AI Software via Program Synthesis
- 17:00pm / Hengcheng Zhu / LSPFuzz: Hunting Bugs in Language Servers
- 17:30pm / Discussion & Closing
Venue: Room 520, Woonoh IT Hall
- 10:00 / Opening
- 10:30 / Zhongxin Liu / From LLM-Driven Fault Localization to Fault-Aware Code Generation
- 11:00 / Sergey Mechtaev / Automated Repair of Ambiguous Problem Descriptions for LLM-Based Code Generation
- 11:30 / Xiaodong Gu / On understanding complex software repository
- 12:00 / Lunch
Venue: Room 609, Woonoh IT Hall
- 13:30 / Weiyi Shang / Towards Pragmatic Pre-processing of Logs
- 14:00 / Zhenhao Li / Defects4Log: Benchmarking LLMs for Logging Code Defect Detection and Reasoning
- 14:30 / Zhensu Sun / AI-friendly code representation in an era of LLMs
Venue: Room 616, Woonoh IT Hall
- 15:00 / Qiang Hu / Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
- 15:30 / Shou Liu / Can Mamba Be Better? An Experimental Evaluation of Mamba in Code Intelligence
- 16:00 / Tiezhu Sun / RAML: Toward Retrieval-Augmented Localization of Malicious Payloads in Android Apps
- 16:30 / Dianshu Liao / Navigating the Labyrinth: Path-Sensitive Unit Test Generation with Large Language Models
- 17:00 / Haochen Gong / Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
- 17:30 / Junda He / From Code to Courtroom: LLMs as the New Software Judges
(Tentative)


