代码大模型 / AI 编程

KForge: Program Synthesis for Diverse AI Hardware Accelerators

Taras Sereda, Tom St. John, Burak Bartan, Natalie Serrino, Sachin Katti, Zain Asgar

机构 * Anonymous Authors（匿名作者） 纠错

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.SE、cs.AI、cs.LG

Comments Under review at MLSys 2026

Enhancing LLM Code Generation Capabilities through Test-Driven Development and Code Interpreter

Sajed Jalil, Shuvo Saha, Hossain Mohammad Seym

机构 * Apollo Applications Group Reston, VA, USA（Apollo Applications Group） ； University of Dhaka（达卡大学） ； Islamic University of Technology（伊斯兰科技大学） 纠错

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE、cs.LG、cs.PL

Comments AACL-IJCNLP 2025 Workshop BLP Shared Task 2, 6 pages, 7 figures, 3 tables

PurpCode: Reasoning for Safer Code Generation

Jiawei Liu, Nirav Diwan, Zhe Wang, Haoyu Zhai, Xiaona Zhou, Kiet A. Nguyen, Tianjiao Yu, Muntasir Wahed, Yinlin Deng, Hadjer Benkraouda, Yuxiang Wei, Lingming Zhang, Ismini Lourentzou, Gang Wang

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE、cs.CL、cs.LG

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models

Yikun Li, Matteo Grella, Daniel Nahmias, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Thijs van Ede, Andrea Continella

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

Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation

Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee

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

Comments Accepted at AAAI 2026 AI Alignment Track, Source code: https://github.com/HahmDY/agentic-ft-safety

Mitigating Overthinking in Large Reasoning Models via Manifold Steering

Yao Huang, Huanran Chen, Shouwei Ruan, Yichi Zhang, Xingxing Wei, Yinpeng Dong

机构 * Institute of Artificial Intelligence, Beihang University（北京航空航天大学人工智能研究院） ； College of AI, Tsinghua University（清华大学人工智能学院） ； Shanghai Qi Zhi Institute（上海启智研究所） ； State Key Laboratory of Virtual Reality Technology and Systems, Beihang University（北京航空航天大学虚拟现实技术与系统国家重点实验室） 纠错

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

Comments 19 pages, 7 figures

What You See Is Not Always What You Get: Evaluating GPT's Comprehension of Source Code

Jiawen Wen, Bangshuo Zhu, Huaming Chen

机构 * The University of Sydney（悉尼大学） 纠错

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

Comments This work has been accepted at APSEC 2025

Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction

Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan

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

Comments 11 pages, 5 figures, accepted by AAAI 2026 (Oral)

SelecTKD: Selective Token-Weighted Knowledge Distillation for LLMs

Haiduo Huang, Jiangcheng Song, Yadong Zhang, Pengju Ren

机构 * Institute of Artificial Intelligence and Robotics（人工智能与机器人研究院） 纠错

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