代码大模型 / AI 编程

Scaling Data-Driven Building Energy Modelling using Large Language Models

Sunil Khadka, Liang Zhang

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

ChatGPT Code Detection: Techniques for Uncovering the Source of Code

Marc Oedingen, Raphael C. Engelhardt, Robin Denz, Maximilian Hammer, Wolfgang Konen

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

Comments Accepted for publication in MDPI AI Journal

Journal ref AI. 2024; 5(3):1066-1094

Assessing the Code Clone Detection Capability of Large Language Models

Zixian Zhang, Takfarinas Saber

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

Generative Monoculture in Large Language Models

Fan Wu, Emily Black, Varun Chandrasekaran

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

Integrate the Essence and Eliminate the Dross: Fine-Grained Self-Consistency for Free-Form Language Generation

Xinglin Wang, Yiwei Li, Shaoxiong Feng, Peiwen Yuan, Boyuan Pan, Heda Wang, Yao Hu, Kan Li

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

Comments Accepted to ACL2024 Main Conference

NLPerturbator: Studying the Robustness of Code LLMs to Natural Language Variations

Junkai Chen, Zhenhao Li, Xing Hu, Xin Xia

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

Bug In the Code Stack: Can LLMs Find Bugs in Large Python Code Stacks

Hokyung Lee, Sumanyu Sharma, Bing Hu

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

Comments 8 pages

The Fire Thief Is Also the Keeper: Balancing Usability and Privacy in Prompts

Zhili Shen, Zihang Xi, Ying He, Wei Tong, Jingyu Hua, Sheng Zhong

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

GW-MoE: Resolving Uncertainty in MoE Router with Global Workspace Theory

Haoze Wu, Zihan Qiu, Zili Wang, Hang Zhao, Jie Fu

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

GitHub Copilot: the perfect Code compLeeter?

Ilja Siroš, Dave Singelée, Bart Preneel

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

Comments 10 pages, 6 figures. Code available: https://github.com/IljaSir/CopilotSolverForLeetCode

INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair

Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu

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

Comments 27 pages, 19 figures, 10 tables

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou

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

Comments ACL 2024 Main

Integration of a systolic array based hardware accelerator into a DNN operator auto-tuning framework

F. N. Peccia, O. Bringmann

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

Comments 6 pages, 5 figures, submitted to the CODAI Workshop at the 2022 ESWEEK

Entropy-Regularized Token-Level Policy Optimization for Language Agent Reinforcement

Muning Wen, Junwei Liao, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen

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

Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic Tasks

Mahdi Sabbaghi, George Pappas, Hamed Hassani, Surbhi Goel

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

Comments 32 pages, 16 figures

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs

Chenxi Sun, Hongzhi Zhang, Zijia Lin, Jingyuan Zhang, Fuzheng Zhang, Zhongyuan Wang, Bin Chen, Chengru Song, Di Zhang, Kun Gai, Deyi Xiong

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

Comments Accepted for publication at LREC-COLING 2024

Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?

Bonan Kou, Shengmai Chen, Zhijie Wang, Lei Ma, Tianyi Zhang

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

Comments To appear in 2024 the ACM International Conference on the Foundations of Software Engineering (FSE '24)

Correct and Optimal: the Regular Expression Inference Challenge

Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger

专题命中 代码生成 ：program synthesis(abstract)；分类 cs.CL、cs.LG

Comments accepted to IJCAI 2024; 7 pages with 2 tables, 5 pages appendix with 3 tables, 1 figure

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker, Yao Houkpati, John Irungu, Timothy Oladunni

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

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment

Abhinav Agarwalla, Abhay Gupta, Alexandre Marques, Shubhra Pandit, Michael Goin, Eldar Kurtic, Kevin Leong, Tuan Nguyen, Mahmoud Salem, Dan Alistarh, Sean Lie, Mark Kurtz

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

Digital ASIC Design with Ongoing LLMs: Strategies and Prospects

Maoyang Xiang, Emil Goh, T. Hui Teo

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

Comments 8 pages, 2 figures, 1 table

AlloyASG: Alloy Predicate Code Representation as a Compact Structurally Balanced Graph

Guanxuan Wu, Allison Sullivan

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

Comments 12 pages

Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo

Mahmoud Masoud, Ahmed Abdelhay, Mohammed Elhenawy

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

Tabular Embedding Model (TEM): Finetuning Embedding Models For Tabular RAG Applications

Sujit Khanna, Shishir Subedi

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

Comments 11 pages, 5 figures

BANSAI: Towards Bridging the AI Adoption Gap in Industrial Robotics with Neurosymbolic Programming

Benjamin Alt, Julia Dvorak, Darko Katic, Rainer Jäkel, Michael Beetz, Gisela Lanza

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

Comments 6 pages, 3 figures, accepted at the 2024 CIRP International Conference on Manufacturing Systems (CMS)

LLMatic: Neural Architecture Search via Large Language Models and Quality Diversity Optimization

Muhammad U. Nasir, Sam Earle, Christopher Cleghorn, Steven James, Julian Togelius

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

Comments Accepted to The Genetic and Evolutionary Computation Conference 2024

The Argument for Meta-Modeling-Based Approaches to Hardware Generation Languages

Johannes Schreiner, Daniel Gerl, Robert Kunzelmann, Paritosh Kumar Sinha, Wolfgang Ecker

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

Natural Language as Policies: Reasoning for Coordinate-Level Embodied Control with LLMs

Yusuke Mikami, Andrew Melnik, Jun Miura, Ville Hautamäki

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

Comments 8 pages, 2 figures

Enhancing Programming Education with ChatGPT: A Case Study on Student Perceptions and Interactions in a Python Course

Boxaun Ma, Li Chen, Shin'ichi Konomi

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

TeleChat Technical Report

Zhongjiang He, Zihan Wang, Xinzhang Liu, Shixuan Liu, Yitong Yao, Yuyao Huang, Xuelong Li, Yongxiang Li, Zhonghao Che, Zhaoxi Zhang, Yan Wang, Xin Wang, Luwen Pu, Huinan Xu, Ruiyu Fang, Yu Zhao, Jie Zhang, Xiaomeng Huang, Zhilong Lu, Jiaxin Peng, Wenjun Zheng, Shiquan Wang, Bingkai Yang, Xuewei he, Zhuoru Jiang, Qiyi Xie, Yanhan Zhang, Zhongqiu Li, Lingling Shi, Weiwei Fu, Yin Zhang, Zilu Huang, Sishi Xiong, Yuxiang Zhang, Chao Wang, Shuangyong Song

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

Comments 28 pages, 2 figures