代码大模型 / AI 编程

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving

Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu

专题命中 代码生成 ：code generation(abstract)

AnalogTester: A Large Language Model-Based Framework for Automatic Testbench Generation in Analog Circuit Design

Weiyu Chen, Chengjie Liu, Wenhao Huang, Jinyang Lyu, Mingqian Yang, Yuan Du, Li Du, Jun Yang

专题命中 代码生成 ：code generation(abstract)

Comments accepted by ISEDA 2025

ORCHA -- A Performance Portability System for Post-Exascale Systems

Youngjun Lee, Klaus Weide, Wesley Kwiecinski, Jared O'Neal, Johann Rudi, Anshu Dubey

专题命中 代码生成 ：code generation(abstract)

VFlow: Discovering Optimal Agentic Workflows for Verilog Generation

Yangbo Wei, Zhen Huang, Huang Li, Wei W. Xing, Ting-Jung Lin, Lei He

专题命中 代码生成 ：code generation(abstract)

Comments 6 pages

BACTA-GPT: An AI-Based Bayesian Adaptive Clinical Trial Architect

Krishna Padmanabhan, Danny Baker

专题命中 代码生成 ：code generation(abstract)

Comments 15 pages plus 9 page appendix

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies

Ossi Parikka, Roel Pieters

机构 * Cognitive Robotics group, Unit of Automation Technology and Mechanical Engineering, Tampere University（认知机器人组、自动化技术与机械工程单位、塔尔皮奥大学） 纠错

专题命中 代码生成 ：code generation(abstract)

Comments Accepted by the 2025 34th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). For further information, videos and code, see https://github.com/ozzyuni/LMPVC

StructMG: A Fast and Scalable Structured Algebraic Multigrid

Yi Zong, Peinan Yu, Haopeng Huang, Zhengding Hu, Xinliang Wang, Qin Wang, Chensong Zhang, Xiaowen Xu, Jian Sun, Yongxiao Zhou, Wei Xue

专题命中 代码生成 ：code generation(abstract)

Portable High-Performance Kernel Generation for a Computational Fluid Dynamics Code with DaCe

Måns I. Andersson, Martin Karp, Niclas Jansson, Stefano Markidis

专题命中 代码生成 ：code generation(abstract)

LASA: Enhancing SoC Security Verification with LLM-Aided Property Generation

Dinesh Reddy Ankireddy, Sudipta Paria, Aritra Dasgupta, Sandip Ray, Swarup Bhunia

专题命中 代码生成 ：code generation(abstract)

Comments 9 pages, 5 figures, 5 tables

Automatic Generation of Explicit Quadratic Programming Solvers

Maximilian Schaller, Daniel Arnström, Alberto Bemporad, Stephen Boyd

专题命中 代码生成 ：code generation(abstract)

Understanding the Performance and Power of LLM Inferencing on Edge Accelerators

Mayank Arya, Yogesh Simmhan

专题命中 代码生成 ：code generation(abstract)

Comments Extended version of short paper to appear in PAISE 2025: Mayank Arya and Yogesh Simmhan, "Understanding the Performance and Power of LLM Inferencing on Edge Accelerators" in 7th Workshop on Parallel AI and Systems for the Edge, Co-located with IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2025

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption

Zhiqiang Wang, Haohua Du, Junyang Wang, Haifeng Sun, Kaiwen Guo, Haikuo Yu, Chao Liu, Xiang-Yang Li

专题命中 代码生成 ：code generation(abstract)

A Framework Leveraging Large Language Models for Autonomous UAV Control in Flying Networks

Diana Nunes, Ricardo Amorim, Pedro Ribeiro, André Coelho, Rui Campos

机构 * INESC TEC and Faculdade de Engenharia, Universidade do Porto（INESC TEC和工程学院，葡萄牙波尔图大学） 纠错

专题命中 代码生成 ：code generation(abstract)

Comments 6 pages, 3 figures, 6 tables

QueryCAD: Grounded Question Answering for CAD Models

Claudius Kienle, Benjamin Alt, Darko Katic, Rainer Jäkel, Jan Peters

机构 * ArtiMinds Robotics ； IAS Lab, Computer Science Department, TU Darmstadt（IAS实验室，计算机科学系，图腾斯泰特大学） ； AICOR Institute for Artificial Intelligence, University of Bremen（AICOR人工智能研究所，不莱梅大学） ； Stuttgart University of Applied Sciences（斯图加特应用科学大学） 纠错

专题命中 代码生成 ：program synthesis(abstract)

Large Processor Chip Model

Kaiyan Chang, Mingzhi Chen, Yunji Chen, Zhirong Chen, Dongrui Fan, Junfeng Gong, Nan Guo, Yinhe Han, Qinfen Hao, Shuo Hou, Xuan Huang, Pengwei Jin, Changxin Ke, Cangyuan Li, Guangli Li, Huawei Li, Kuan Li, Naipeng Li, Shengwen Liang, Cheng Liu, Hongwei Liu, Jiahua Liu, Junliang Lv, Jianan Mu, Jin Qin, Bin Sun, Chenxi Wang, Duo Wang, Mingjun Wang, Ying Wang, Chenggang Wu, Peiyang Wu, Teng Wu, Xiao Xiao, Mengyao Xie, Chenwei Xiong, Ruiyuan Xu, Mingyu Yan, Xiaochun Ye, Kuai Yu, Rui Zhang, Shuoming Zhang, Jiacheng Zhao

专题命中 代码生成 ：code generation(abstract)

SceneMotifCoder: Example-driven Visual Program Learning for Generating 3D Object Arrangements

Hou In Ivan Tam, Hou In Derek Pun, Austin T. Wang, Angel X. Chang, Manolis Savva

专题命中 代码生成 ：program synthesis(abstract)

Comments Accepted at 3DV 2025 (Oral). Project page: https://3dlg-hcvc.github.io/smc/. Minor revisions for camera-ready version

ATiM: Autotuning Tensor Programs for Processing-in-DRAM

Yongwon Shin, Dookyung Kang, Hyojin Sung

专题命中 代码生成 ：code generation(abstract)

Comments 17 pages, 15 figures

FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models

Alice Heiman, Xiaoman Zhang, Emma Chen, Sung Eun Kim, Pranav Rajpurkar

机构 * Stanford University, USA（斯坦福大学） ； Harvard University, USA（哈佛大学） 纠错

专题命中 代码生成 ：code generation(abstract)

Comments Accepted to CVPR 2025

Understanding Complexity in VideoQA via Visual Program Generation

Cristobal Eyzaguirre, Igor Vasiljevic, Achal Dave, Jiajun Wu, Rares Andrei Ambrus, Thomas Kollar, Juan Carlos Niebles, Pavel Tokmakov

专题命中 代码生成 ：code generation(abstract)

DawnPiper: A Memory-scablable Pipeline Parallel Training Framework

Xuan Peng, Xuanhua Shi, Haolin Zhang, Yunfei Zhao, Xuehai Qian

专题命中 代码生成 ：code generation(abstract)

Pyrometheus: Symbolic abstractions for XPU and automatically differentiated computation of combustion kinetics and thermodynamics

Esteban Cisneros-Garibay, Henry Le Berre, Dimitrios Adam, Spencer H. Bryngelson, Jonathan B. Freund

专题命中 代码生成 ：code generation(abstract)

Comments 41 pages, 12 figures, 29 listings, 60 references Code available at https://github.com/pyrometheus Update: added two-dimensional flame-vortex simulations to demonstrate fully coupled flow-flame MFC simulations

LLM impact on BLV programming

Prashant Chandrasekar, Mariel Couvillion, Ayshwarya Saktheeswaran, Jessica Zeitz

专题命中 代码生成 ：code generation(abstract)

Comments Submitted to ASSETS 2025

The Evolving Role of Programming and LLMs in the Development of Self-Driving Laboratories

John R. Kitchin

专题命中 代码生成 ：code generation(abstract)

Everything You Wanted to Know About LLM-based Vulnerability Detection But Were Afraid to Ask

Yue Li, Xiao Li, Hao Wu, Minghui Xu, Yue Zhang, Xiuzhen Cheng, Fengyuan Xu, Sheng Zhong

专题命中 代码生成 ：code generation(abstract)

Constant-time hybrid compilation of Shor's algorithm with quantum just-in-time compilation

David Ittah, Jackson Fraser, Josh Izaac, Olivia Di Matteo

专题命中 代码生成 ：code generation(abstract)

Comments 7 pages, 6 figures. Code available on GitHub

DeQompile: quantum circuit decompilation using genetic programming for explainable quantum architecture search

Shubing Xie, Aritra Sarkar, Sebastian Feld

专题命中 代码生成 ：program synthesis(abstract)

The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning

Virilo Tejedor, Cristina Zuheros, Carlos Peláez-González, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera

专题命中 代码生成 ：code generation(abstract)

Student's Use of Generative AI as a Support Tool in an Advanced Web Development Course

Isaac Alpizar-Chacon, Hieke Keuning

专题命中 代码生成 ：code generation(abstract)

Comments Accepted to ITiCSE 2025

Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration

Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagen, Houbing Song, Dusit Niyato, Lingjia Liu

专题命中 代码生成 ：code generation(abstract)

Comments 6 pages, 4 figures, 4 tables

Sakshm AI: Advancing AI-Assisted Coding Education for Engineering Students in India Through Socratic Tutoring and Comprehensive Feedback

Raj Gupta, Harshita Goyal, Dhruv Kumar, Apurv Mehra, Sanchit Sharma, Kashish Mittal, Jagat Sesh Challa

专题命中 代码生成 ：code generation(abstract)

Comments Under Review, 19 pages