代码大模型 / AI 编程

Code as Reward: Empowering Reinforcement Learning with VLMs

David Venuto, Sami Nur Islam, Martin Klissarov, Doina Precup, Sherry Yang, Ankit Anand

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

Code Representation Learning At Scale

Dejiao Zhang, Wasi Ahmad, Ming Tan, Hantian Ding, Ramesh Nallapati, Dan Roth, Xiaofei Ma, Bing Xiang

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

Comments 10 pages

Journal ref ICLR 2024

Exploring the Effect of Multiple Natural Languages on Code Suggestion Using GitHub Copilot

Kei Koyanagi, Dong Wang, Kotaro Noguchi, Masanari Kondo, Alexander Serebrenik, Yasutaka Kamei, Naoyasu Ubayashi

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

Learning logic programs by finding minimal unsatisfiable subprograms

Andrew Cropper, Céline Hocquette

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

Improving Natural Language Capability of Code Large Language Model

Wei Li, Daoguang Zan, Bei Guan, Ailun Yu, Xiaolin Chen, Yongji Wang

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

Knowledge Fusion of Large Language Models

Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi

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

Comments Accepted to ICLR 2024

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models

James Prather, Paul Denny, Juho Leinonen, David H. Smith, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel

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

Comments accepted for CHI 2024

CLSA-CIM: A Cross-Layer Scheduling Approach for Computing-in-Memory Architectures

Rebecca Pelke, Jose Cubero-Cascante, Nils Bosbach, Felix Staudigl, Rainer Leupers, Jan Moritz Joseph

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

What Makes Good In-context Demonstrations for Code Intelligence Tasks with LLMs?

Shuzheng Gao, Xin-Cheng Wen, Cuiyun Gao, Wenxuan Wang, Hongyu Zhang, Michael R. Lyu

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

Comments This paper is accepted by ASE 2023

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang

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

Comments This paper is accpeted by AAMAS 2024. More demonstrations can be seen on our website https://sites.google.com/view/overcooked-hla/

If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents

Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai

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

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Zibin Zheng, Kaiwen Ning, Yanlin Wang, Jingwen Zhang, Dewu Zheng, Mingxi Ye, Jiachi Chen

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

Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis

Julian Parsert, Elizabeth Polgreen

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

Using LLM to select the right SQL Query from candidates

Zhenwen Li, Tao Xie

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

Comments 8 pages

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence

Yifei Shen, Jiawei Shao, Xinjie Zhang, Zehong Lin, Hao Pan, Dongsheng Li, Jun Zhang, Khaled B. Letaief

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

Comments IEEE Communication Magazine

A functional scripting interface to an object oriented C++ library

Markus Kloimwieder, Christoph Gadermaier

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

Comments 10 pages, code highlighted in color

A Novel Approach for Rapid Development Based on ChatGPT and Prompt Engineering

Youjia Li, Jianjun Shi, Zheng Zhang

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

Opportunities and Challenges of Applying Large Language Models in Building Energy Efficiency and Decarbonization Studies: An Exploratory Overview

Liang Zhang, Zhelun Chen

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

Human AI Collaboration in Software Engineering: Lessons Learned from a Hands On Workshop

Muhammad Hamza, Dominik Siemon, Muhammad Azeem Akbar, Tahsinur Rahman

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

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks

Xiaoxia Wu, Haojun Xia, Stephen Youn, Zhen Zheng, Shiyang Chen, Arash Bakhtiari, Michael Wyatt, Reza Yazdani Aminabadi, Yuxiong He, Olatunji Ruwase, Leon Song, Zhewei Yao

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

Refining ChatGPT-Generated Code: Characterizing and Mitigating Code Quality Issues

Yue Liu, Thanh Le-Cong, Ratnadira Widyasari, Chakkrit Tantithamthavorn, Li Li, Xuan-Bach D. Le, David Lo

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

JITSPMM: Just-in-Time Instruction Generation for Accelerated Sparse Matrix-Matrix Multiplication

Qiang Fu, Thomas B. Rolinger, H. Howie Huang

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

KEN: Kernel Extensions using Natural Language

Yusheng Zheng, Yiwei Yang, Maolin Chen, Andrew Quinn

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

Optimistic Global Function Merger

Kyungwoo Lee, Manman Ren, Ellis Hoag

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

A Case for Synthesis of Recursive Quantum Unitary Programs

Haowei Deng, Runzhou Tao, Yuxiang Peng, Xiaodi Wu

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

Assessing the Security of GitHub Copilot Generated Code -- A Targeted Replication Study

Vahid Majdinasab, Michael Joshua Bishop, Shawn Rasheed, Arghavan Moradidakhel, Amjed Tahir, Foutse Khomh

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

Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning and Coding with LLMs

Pranjal Aggarwal, Aman Madaan, Yiming Yang, Mausam

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

Comments Published at EMNLP 2023

DLAS: An Exploration and Assessment of the Deep Learning Acceleration Stack

Perry Gibson, José Cano, Elliot J. Crowley, Amos Storkey, Michael O'Boyle

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

Analyzing Modular Approaches for Visual Question Decomposition

Apoorv Khandelwal, Ellie Pavlick, Chen Sun

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

Comments Published at EMNLP 2023 (Main Conference). Source code: https://github.com/brown-palm/visual-question-decomposition

Integrating Graphs with Large Language Models: Methods and Prospects

Shirui Pan, Yizhen Zheng, Yixin Liu

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

Journal ref IEEE Intelligent System (2023)