Papers
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution
Yu Cheng, Lei Wang, Yining Shi et al.
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.
Smart Motor: A Low-Cost Hardware and Software Toolkit for Introducing Supervised Machine Learning to Elementary School Students
Tanushree Burman, Milan Dahal, Geling Xu et al.
Enhancing Software Requirements Engineering with Language Models and Prompting Techniques: Insights from the Current Research and Future Directions
Moemen Ebrahim, Shawkat Guirguis, Christine Basta
RTADev: Intention Aligned Multi-Agent Framework for Software Development
Jie Liu, Guohua Wang, Ronghui Yang et al.
SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling
Haoran Wang, Zhenyu Hou, Yao Wei et al.
From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents
Tobias Lindenbauer, Georg Groh, Hinrich Schuetze
SOMD2025: A Challenging Shared Tasks for Software Related Information Extraction
Sharmila Upadhyaya, Wolfgang Otto, Frank Krüger et al.
From In-Distribution to Out-of-Distribution: Joint Loss for Improving Generalization in Software Mention and Relation Extraction
Stasa Mandic, Georg Niess, Roman Kern
SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts
Vaghawan Ojha, Projan Shakya, Kristina Ghimire et al.
Inductive Learning on Heterogeneous Graphs Enhanced by LLMs for Software Mention Detection
Gabriel Silva, Mário Rodriges, António Teixeira et al.
Extracting Software Mentions and Relations using Transformers and LLM-Generated Synthetic Data at SOMD 2025
Pranshu Rastogi, Rajneesh Tiwari
Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case Study
Bowen Li, Wenhan Wu, Ziwei Tang et al.
UniDebugger: Hierarchical Multi-Agent Framework for Unified Software Debugging
Cheryl Lee, Chunqiu Steven Xia, Longji Yang et al.
SWE-MERA: A Dynamic Benchmark for Agenticly Evaluating Large Language Models on Software Engineering Tasks
Adamenko Pavel, Ivanov Mikhail, Aidar Valeev et al.
AutoCVSS: Assessing the Performance of LLMs for Automated Software Vulnerability Scoring
Davide Sanvito, Giovanni Arriciati, Giuseppe Siracusano et al.
On Assigning Product and Software Codes to Customer Service Requests with Large Language Models
Sujatha Das Gollapalli, Mouad Hakam, Mingzhe Du et al.
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
Antonis Antoniades, Albert Örwall, Kexun Zhang et al.
OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?
Junjielong Xu, Qinan Zhang, Zhiqing Zhong et al.
SWE-bench Multimodal: Do AI Systems Generalize to Visual Software Domains?
John Yang, Carlos E Jimenez, Alex L Zhang et al.
Self-Evolving Multi-Agent Collaboration Networks for Software Development
Yue Hu, Yuzhu Cai, Yaxin Du et al.
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
Kexun Zhang, Weiran Yao, Zuxin Liu et al.
When Prompt Engineering Meets Software Engineering: CNL-P as Natural and Robust "APIs'' for Human-AI Interaction
Zhenchang Xing, Yang Liu, Zhuo Cheng et al.
RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph
Siru Ouyang, Wenhao Yu, Kaixin Ma et al.