代码大模型 / AI 编程

Generating Energy-Efficient Code via Large-Language Models -- Where are we now?

Radu Apsan, Vincenzo Stoico, Michel Albonico, Rudra Dhar, Karthik Vaidhyanathan, Ivano Malavolta

机构 * Vrije Universiteit Amsterdam（阿姆斯特丹自由大学） ； Federal University of Technology of Paraná (UTFPR)（巴西南里尔联邦技术大学） ； IIIT Hyderabad（海得拉巴国家理工学院） 纠错

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE、cs.AI

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

Camilo Chacón Sartori, Martín Isla Pino, Pedro Pinacho-Davidson, Christian Blum

专题命中 代码生成 ：code generation(abstract)；分类 cs.CL、cs.AI

Comments Submitted to a journal for review

Developer-LLM Conversations: An Empirical Study of Interactions and Generated Code Quality

Suzhen Zhong, Ying Zou, Bram Adams

专题命中 代码生成 ：code generation(abstract)；分类 cs.SE

MIMo grows! Simulating body and sensory development in a multimodal infant model

Francisco M. López, Miles Lenz, Marco G. Fedozzi, Arthur Aubret, Jochen Triesch

机构 * Deutsche Forschungsgemeinschaft（德国研究协会） 纠错

专题命中 软件智能体 ：repository(abstract)

Comments Accepted at IEEE ICDL 2025. 6 pages, 6 figures

Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks

Chien-Ming Chi

机构 * Academia Sinica（中华学术院） 纠错

专题命中 代码评测 ：repository(abstract)；分类 cs.LG

Comments 34 pages, 3 figures, 7 tables