代码大模型 / AI 编程 - arXivDaily 专题

2012.07816 2021-10-26 cs.LG cs.HC cs.SE 62%

Enabling Collaborative Data Science Development with the Ballet Framework

Micah J. Smith, Jürgen Cito, Kelvin Lu, Kalyan Veeramachaneni

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

Journal ref Proc. ACM Hum.-Comput. Interact. 5, CSCW2, Article 431 (October 2021), 39 pages

2110.07209 2021-10-15 cs.CL cs.AI 62%

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Shen Liu, Meirong Ma, Hao Yuan, Jianchao Zhu, Yuanbin Wu, Man Lan

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

Journal ref NLPCC 2021

2104.07896 2021-10-04 cs.CL cs.PL 62%

Generating Bug-Fixes Using Pretrained Transformers

Dawn Drain, Chen Wu, Alexey Svyatkovskiy, Neel Sundaresan

专题命中代码评测：program repair(abstract)；分类 cs.CL、cs.PL

2104.08835 2021-10-04 cs.CL cs.LG 62%

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Qinyuan Ye, Bill Yuchen Lin, Xiang Ren

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

Comments Accepted to EMNLP 2021. Camera-ready version. Code: https://github.com/INK-USC/CrossFit

2105.07342 2021-09-30 cs.LG cs.AI 62%

Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive

Lirong Wu, Haitao Lin, Zhangyang Gao, Cheng Tan, Stan. Z. Li

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

2107.06481 2021-07-15 cs.CV cs.AI cs.GR cs.LG 62%

A Convolutional Neural Network Approach to the Classification of Engineering Models

Bharadwaj Manda, Pranjal Bhaskare, Ramanathan Muthuganapathy

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

Journal ref in IEEE Access, vol. 9, pp. 22711-22723, 2021

2107.06217 2021-07-14 cs.LG cs.AI 62%

What classifiers know what they don't?

Mohamed Ishmael Belghazi, David Lopez-Paz

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

Comments 27 pages

2106.00456 2021-06-02 stat.ME cs.AI cs.CR cs.LG 62%

Federated Estimation of Causal Effects from Observational Data

Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong

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

Comments Preprint

2104.08755 2021-06-01 cs.CL cs.AI cs.IR 62%

DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels

Zhaohao Zeng, Tetsuya Sakai

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

Comments 6 pages, 3 figures

2103.16490 2021-03-31 cs.LG cs.AI 62%

Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques

Jakaria Rabbi, Md. Tahmid Hasan Fuad, Md. Abdul Awal

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

Comments Submitted to the 10th International Conference on Informatics, Electronics & Vision (ICIEV), 2021

1912.08785 2021-03-10 cs.NE cs.AI cs.LG 62%

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Piotr S. Maciąg, Marzena Kryszkiewicz, Robert Bembenik, Jesus L. Lobo, Javier Del Ser

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

Comments 52 pages

Journal ref Neural Networks, Volume 139, 2021, Pages 118-139

2102.01341 2021-02-03 cs.LG cs.AI cs.AR 62%

Benchmarking Quantized Neural Networks on FPGAs with FINN

Quentin Ducasse, Pascal Cotret, Loïc Lagadec, Robert Stewart

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

Comments Presented at DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021) (arXiv:2102.00818)

2007.02609 2020-12-09 cs.CL cs.LG 62%

Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback

Carlos Gemmell, Federico Rossetto, Jeffrey Dalton

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

1911.06603 2020-09-23 q-bio.QM cs.CL cs.LG 62%

Transformer-CNN: Fast and Reliable tool for QSAR

Pavel Karpov, Guillaume Godin, Igor V. Tetko

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

1910.01075 2020-08-25 stat.ML cs.AI cs.LG 62%

Learning Neural Causal Models from Unknown Interventions

Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal, Stefan Bauer, Hugo Larochelle, Bernhard Schölkopf, Michael C. Mozer, Chris Pal, Yoshua Bengio

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

2006.04766 2020-06-09 cs.AI cs.LG 62%

A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence

Hongmei He, Zhenhuan Zhu

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

2003.01345 2020-03-04 cs.CL cs.LG 62%

Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification

Muhammad Nabeel Asim, Muhammad Usman Ghani, Muhammad Ali Ibrahim, Sheraz Ahmad, Waqar Mahmood, Andreas Dengel

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

1911.11558 2019-11-27 cs.LG cs.CL stat.ML 62%

FairyTED: A Fair Rating Predictor for TED Talk Data

Rupam Acharyya, Shouman Das, Ankani Chattoraj, Md. Iftekhar Tanveer

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

Comments 9 pages, 4 figures, 3 tables. Accepted as a conference paper to be presented at AAAI 2020

1909.12271 2019-09-27 cs.RO cs.AI cs.CV cs.LG 62%

RLBench: The Robot Learning Benchmark & Learning Environment

Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison

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

Comments Videos and code: https://sites.google.com/view/rlbench

1909.08250 2019-09-19 cs.AI cs.CL 62%

Natural Language Generation for Non-Expert Users

Van Duc Nguyen, Tran Cao Son, Enrico Pontelli

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

Comments In Proceedings ICLP 2019, arXiv:1909.07646

Journal ref EPTCS 306, 2019, pp. 280-294

1805.07805 2019-07-12 cs.LG cs.AI stat.ML 62%

Constrained Policy Improvement for Safe and Efficient Reinforcement Learning

Elad Sarafian, Aviv Tamar, Sarit Kraus

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

1904.06312 2019-04-15 cs.LG cs.AI stat.ML 62%

Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments

Kaleigh Clary, Emma Tosch, John Foley, David Jensen

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

Comments NeurIPS 2018 Critiquing and Correcting Trends Workshop

1802.02312 2018-07-30 cs.SE cs.CV cs.LG 62%

Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett, Denys Poshyvanyk

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

Comments Accepted to IEEE Transactions on Software Engineering

1801.06378 2018-01-22 stat.ML cs.LG cs.SE 62%

Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

Thierry Moreau, Anton Lokhmotov, Grigori Fursin

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

Comments ReQuEST tournament website: http://cKnowledge.org/request

1409.7165 2016-11-15 cs.LG cs.IR cs.SE 62%

Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval

Liang Wu, Hui Xiong, Liang Du, Bo Liu, Guandong Xu, Yong Ge, Yanjie Fu, Yuanchun Zhou, Jianhui Li

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

Comments to appear in IEEE International Conference on Data Mining (ICDM), Shen Zhen, China, December 2014

1506.02465 2016-04-07 cs.AI cs.LG 62%

ASlib: A Benchmark Library for Algorithm Selection

Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Frechette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney, Joaquin Vanschoren

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

Comments Accepted to be published in Artificial Intelligence Journal

1506.06256 2015-06-23 cs.SE cs.LG cs.PF 62%

Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science

Grigori Fursin, Abdul Memon, Christophe Guillon, Anton Lokhmotov

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

Comments Presented at the 18th International Workshop on Compilers for Parallel Computing (CPC'15), London, UK

2608.14560 2026-08-18 cs.DC cs.SE 新提交 61%

Agentic Kernel Optimization: Generating State-of-the-Art GPU Kernels Without Hand-Written CUDA

智能体内核优化：无需手动编写CUDA即可生成最先进的GPU内核

Mao Luo, Hongbin Li, Feng Lin, Hanling Yi, Zhe Huang

专题命中代码评测：coding agent(abstract)；分类 cs.SE；code generation(comments)

AI总结该研究构建多智能体编排框架Houmao的GPU内核优化工作流，利用通用代码智能体在无需手动CUDA代码的情况下，生成的GPU内核在多个任务上实现远超PyTorch和FlashInfer基线的加速，在竞赛中取得最优结果，证明代码智能体可作为GPU内核开发的有效自主优化器。

Comments Technical report on AI code generation for practical GPU kernels on NVIDIA Blackwell GPUs

2607.06413 2026-07-08 stat.ME cs.AI 新提交 61%

An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery

一种评估智能体人工智能自主模型发现的实验设计方法

Hao He, Xueying Liu, Chris J. Kuhlman, Xinwei Deng

机构 * Department of Statistics, Virginia Tech（统计学系，弗吉尼亚理工学院）； Department of Statistical Science, Baylor University（统计科学系，贝勒大学）； Advanced Research Computing, Virginia Tech（高级研究计算，弗吉尼亚理工学院）

专题命中代码评测：coding agent(abstract)；分类 cs.AI；repository(comments)

AI总结研究大型语言模型编码智能体自主模型发现行为，提出实验设计与分析框架，将智能体视为随机模型发现算子，在多种受控因素下研究Codex和Claude Code两个算子，进行回归模型和推理，开发规范分解，通过网络造词游戏测试平台得出相关深刻发现。

Comments 39 pages, 11 figures, 6 tables. Data and code available at the GitHub repository listed in the paper

2309.06085 2023-09-20 cs.CL 61%

BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models

Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, Hamsawardhini Rengarajan, Kengatharaiyer Sarveswaran, William Chandra Tjhi

专题命中代码评测：repository(abstract,comments)；分类 cs.CL

Comments 86 pages, 7 figures, added link to repository in abstract, minor formatting changes and typo corrections

1. 代码评测 1740 篇

Enabling Collaborative Data Science Development with the Ballet Framework

A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation

Generating Bug-Fixes Using Pretrained Transformers

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP

Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive

A Convolutional Neural Network Approach to the Classification of Engineering Models

What classifiers know what they don't?

Federated Estimation of Causal Effects from Observational Data

DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels

Human Activity Analysis and Recognition from Smartphones using Machine Learning Techniques

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

Benchmarking Quantized Neural Networks on FPGAs with FINN

Relevance Transformer: Generating Concise Code Snippets with Relevance Feedback

Transformer-CNN: Fast and Reliable tool for QSAR

Learning Neural Causal Models from Unknown Interventions

A Heuristically Self-Organised Linguistic Attribute Deep Learning in Edge Computing For IoT Intelligence

Benchmark Performance of Machine And Deep Learning Based Methodologies for Urdu Text Document Classification

FairyTED: A Fair Rating Predictor for TED Talk Data

RLBench: The Robot Learning Benchmark & Learning Environment

Natural Language Generation for Non-Expert Users

Constrained Policy Improvement for Safe and Efficient Reinforcement Learning

Let's Play Again: Variability of Deep Reinforcement Learning Agents in Atari Environments

Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval

ASlib: A Benchmark Library for Algorithm Selection

Collective Mind, Part II: Towards Performance- and Cost-Aware Software Engineering as a Natural Science

Agentic Kernel Optimization: Generating State-of-the-Art GPU Kernels Without Hand-Written CUDA

An Experimental Design Approach to Evaluating Agentic AI's Autonomous Model Discovery

BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models