代码大模型 / AI 编程

Reproducible scaling laws for contrastive language-image learning

Mehdi Cherti, Romain Beaumont, Ross Wightman, Mitchell Wortsman, Gabriel Ilharco, Cade Gordon, Christoph Schuhmann, Ludwig Schmidt, Jenia Jitsev

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

Comments CVPR 2023. Version with minor extension. Original: CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper" target="_blank" rel="noopener">https://openaccess.thecvf.com/content/CVPR2023/html/Cherti_Reproducible_Scaling_Laws_for_Contrastive_Language-Image_Learning_CVPR_2023_paper

Journal ref Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, pp. 2818-2829

PythonSaga: Redefining the Benchmark to Evaluate Code Generating LLMs

Ankit Yadav, Himanshu Beniwal, Mayank Singh

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

MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization

Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun

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

Comments Accepted by AAAI 2021

Generation of Asset Administration Shell with Large Language Model Agents: Toward Semantic Interoperability in Digital Twins in the Context of Industry 4.0

Yuchen Xia, Zhewen Xiao, Nasser Jazdi, Michael Weyrich

专题命中 代码评测 ：repository(abstract)；分类 cs.SE、cs.AI

Comments Published in IEEE Access

MASAI: Modular Architecture for Software-engineering AI Agents

Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan

专题命中 代码评测 ：repository(abstract)；分类 cs.SE、cs.AI

Out of style: Misadventures with LLMs and code style transfer

Karl Munson, Chih-Kai Ting, Serenity Wade, Anish Savla, Julian Dolby, Kiran Kate, Kavitha Srinivas

专题命中 代码评测 ：code model(abstract)；分类 cs.SE、cs.AI

FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Models

Gagan Bhatia, El Moatez Billah Nagoudi, Hasan Cavusoglu, Muhammad Abdul-Mageed

专题命中 代码评测 ：repository(abstract)；分类 cs.CL、cs.AI

Mercury: A Code Efficiency Benchmark for Code Large Language Models

Mingzhe Du, Anh Tuan Luu, Bin Ji, Qian Liu, See-Kiong Ng

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

Evaluation of the Programming Skills of Large Language Models

Luc Bryan Heitz, Joun Chamas, Christopher Scherb

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

A Comprehensive Analysis of Static Word Embeddings for Turkish

Karahan Sarıtaş, Cahid Arda Öz, Tunga Güngör

专题命中 代码评测 ：repository(abstract)；分类 cs.CL、cs.AI

Journal ref Expert Systems with Applications Volume 252, Part A, 15 October 2024, 124123

On Recovering Higher-order Interactions from Protein Language Models

Darin Tsui, Amirali Aghazadeh

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

DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning

Sicen Liu, Xiaolong Wang, Xianbing Zhao, Hao Chen

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

Comments 11 pages, 4 figures

Benchmarking the Fairness of Image Upsampling Methods

Mike Laszkiewicz, Imant Daunhawer, Julia E. Vogt, Asja Fischer, Johannes Lederer

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

Comments This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published at the 2024 ACM Conference on Fairness, Accountability, and Transparency (FAccT '24)

Performance-Aligned LLMs for Generating Fast Code

Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele

专题命中 代码评测 ：code model(abstract)；分类 cs.SE、cs.AI

Fast Genetic Algorithm for feature selection -- A qualitative approximation approach

Mohammed Ghaith Altarabichi, Sławomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi

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

Journal ref Expert Systems with Applications, 211, p.118528 (2023)

From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks

Rui She, Pingyi Fan

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

Software Vulnerability and Functionality Assessment using LLMs

Rasmus Ingemann Tuffveson Jensen, Vali Tawosi, Salwa Alamir

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

Comments 4 pages, accepted to NLBSE'24

AutoDev: Automated AI-Driven Development

Michele Tufano, Anisha Agarwal, Jinu Jang, Roshanak Zilouchian Moghaddam, Neel Sundaresan

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

Pre-Trained Model Recommendation for Downstream Fine-tuning

Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen

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

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models

Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

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

Comments 33pages

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss

Yen-Trang Dang, Thanh-Le Cong, Phuc-Thanh Nguyen, Anh M. T. Bui, Phuong T. Nguyen, Bach Le, Quyet-Thang Huynh

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

Comments Accepted to EASE'24

CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text

Zhenru Lin, Yiqun Yao, Yang Yuan

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

Comments 10 pages, 5 figures

LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Arnav M. Das, Gantavya Bhatt, Yinglun Zhu, Jeffrey Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D Nowak

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

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey

Yunpeng Huang, Jingwei Xu, Junyu Lai, Zixu Jiang, Taolue Chen, Zenan Li, Yuan Yao, Xiaoxing Ma, Lijuan Yang, Hao Chen, Shupeng Li, Penghao Zhao

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

Comments 40 pages, 3 figures, 4 tables

Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Anisha Agarwal, Aaron Chan, Shubham Chandel, Jinu Jang, Shaun Miller, Roshanak Zilouchian Moghaddam, Yevhen Mohylevskyy, Neel Sundaresan, Michele Tufano

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

Continual Learning on Graphs: Challenges, Solutions, and Opportunities

Xikun Zhang, Dongjin Song, Dacheng Tao

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

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

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

Comments 14 pages, 6 figures

Green Runner: A tool for efficient deep learning component selection

Jai Kannan

专题命中 代码评测 ：repository(abstract)；分类 cs.SE、cs.AI

Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs

Ziyu Li, Donghwan Shin

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

Comments This is an author-preprint. The published version will be included in the proceedings of CAIN 2024 (co-located with ICSE 2024)

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting

Lei Shu, Liangchen Luo, Jayakumar Hoskere, Yun Zhu, Yinxiao Liu, Simon Tong, Jindong Chen, Lei Meng

专题命中 代码评测 ：repository(abstract)；分类 cs.CL、cs.AI

Journal ref AAAI 2024