代码大模型 / AI 编程 - arXivDaily 专题

2411.09955 2024-11-22 cs.CV cs.AI cs.HC cs.LG cs.MM 62%

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era

Thanh Tam Nguyen, Zhao Ren, Trinh Pham, Thanh Trung Huynh, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments Fixed a serious error in author information

2411.12847 2024-11-21 cs.LG cs.AI 62%

mDAE : modified Denoising AutoEncoder for missing data imputation

Mariette Dupuy, Marie Chavent, Remi Dubois

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2411.11548 2024-11-19 cs.CV cs.AI cs.LG 62%

Real-Time Fitness Exercise Classification and Counting from Video Frames

Riccardo Riccio

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2411.10055 2024-11-18 cs.IR cs.AI cs.CL 62%

Towards unearthing neglected climate innovations from scientific literature using Large Language Models

César Quilodrán-Casas, Christopher Waite, Nicole Alhadeff, Diyona Dsouza, Cathal Hughes, Larissa Kunstel-Tabet, Alyssa Gilbert

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments 10 pages. Accepted in the LatinX in AI workshop at NeurIPS 2024

2407.01294 2024-11-12 cs.LG cs.AI cs.CY 62%

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 21 pages, 2 figures; typos corrected, reference missing fields fixed, printer-friendly version of a diagram added

2411.02649 2024-11-06 cs.LG cs.AI 62%

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps

Peiyu Li, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments Accepted at ICMLA 2024. arXiv admin note: text overlap with arXiv:2410.20539

2411.01623 2024-11-06 cs.LG cs.AI eess.SP 62%

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments Accepted by NeurIPS 2024

2312.03749 2024-11-05 cs.CL cs.AI cs.CY 62%

Conceptual Engineering Using Large Language Models

Bradley P. Allen

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments 22 pages, 2 figures, to appear in Vincent C. Müller, Aliya R. Dewey, Leonard Dung & Guido Löhr (eds.), Philosophy of Artificial Intelligence: The State of the Art. Berlin: SpringerNature (forthcoming), for associated code and data see https://github.com/bradleypallen/zero-shot-classifiers-for-conceptual-engineering

2402.02370 2024-11-01 cs.LG cs.CL 62%

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

Yong Liu, Guo Qin, Xiangdong Huang, Jianmin Wang, Mingsheng Long

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

2212.05767 2024-10-28 cs.AI cs.CL cs.IR 62%

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, Fuchun Sun

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments This work has been submitted to the IEEE for possible publication

2410.14488 2024-10-21 cs.LG cs.AI stat.ML 62%

ANT: Adaptive Noise Schedule for Time Series Diffusion Models

Seunghan Lee, Kibok Lee, Taeyoung Park

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2024

2404.01336 2024-10-16 cs.CL cs.AI cs.MM 62%

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Senzhang Wang, Zheng Liu, Xi Zhang, Chaozhuo Li, Philip S. Yu

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

2410.04084 2024-10-08 cs.CV cs.AI cs.LG 62%

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance

Pankhi Kashyap, Pavni Tandon, Sunny Gupta, Abhishek Tiwari, Ritwik Kulkarni, Kshitij Sharad Jadhav

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 13 pages, 1 figures. Accepted in The 35th British Machine Vision Conference (BMVC24)

2312.08782 2024-10-02 cs.RO cs.AI cs.CV cs.LG 62%

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Hao-Shu Fang, Shibo Zhao, Shayegan Omidshafiei, Dong-Ki Kim, Ali-akbar Agha-mohammadi, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Chen Wang, Zsolt Kira, Fei Xia, Yonatan Bisk

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2409.18988 2024-10-01 cs.CL cs.AI econ.GN q-fin.EC 62%

A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy

Xiang Li, Lan Zhao, Junhao Ren, Yajuan Sun, Chuan Fu Tan, Zhiquan Yeo, Gaoxi Xiao

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments 6 pages, 2 figures, accepted in 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2024)

2409.12001 2024-09-19 cs.LG cs.AI cs.MA 62%

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

Claude Formanek, Louise Beyers, Callum Rhys Tilbury, Jonathan P. Shock, Arnu Pretorius

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2409.09039 2024-09-17 cs.LG cs.AI cs.CV 62%

AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding

Zihan Huang, Tao Wu, Wang Lin, Shengyu Zhang, Jingyuan Chen, Fei Wu

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2408.17280 2024-09-12 cs.AI cs.CL 62%

Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts

Rhui Dih Lee, Laura Wynter, Raghu Kiran Ganti

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

2408.07089 2024-08-15 cs.LG cs.AI 62%

InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Bo-Wen Zhang, Yan Yan, Lin Li, Guang Liu

专题命中仓库级理解：code model(abstract)；分类 cs.AI、cs.LG

Comments Accepted by CIKM 2024

2408.00992 2024-08-09 cs.CL cs.LG 62%

Fairness in Large Language Models in Three Hours

Thang Doan Viet, Zichong Wang, Minh Nhat Nguyen, Wenbin Zhang

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

2407.19619 2024-07-30 cs.AI cs.SE 62%

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Manish Bhattarai, Javier E. Santos, Shawn Jones, Ayan Biswas, Boian Alexandrov, Daniel O'Malley

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.AI

Comments LLM for code translation

2407.17876 2024-07-26 cs.CL cs.LG 62%

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations

Daniel Atzberger, Tim Cech, Willy Scheibel, Jürgen Döllner, Michael Behrisch, Tobias Schreck

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.LG

Comments To be published at IEEE VIS 2024 conference

2304.14925 2024-07-16 cs.LG cs.AI cs.NE 62%

Uncertainty Aware Neural Network from Similarity and Sensitivity

H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam, Abbas Khosravi, Shafin Rahman, Mohammad Reza Chalak Qazani, Roohallah Alizadehsani, Houshyar Asadi, Shady Mohamed, Saeid Nahavandi, U Rajendra Acharya

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Journal ref Applied Soft Computing, 2023

2405.15613 2024-07-01 cs.LG cs.AI cs.CV 62%

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Huy V. Vo, Vasil Khalidov, Timothée Darcet, Théo Moutakanni, Nikita Smetanin, Marc Szafraniec, Hugo Touvron, Camille Couprie, Maxime Oquab, Armand Joulin, Hervé Jégou, Patrick Labatut, Piotr Bojanowski

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2404.00673 2024-06-27 cs.CR cs.AI cs.CY cs.LG 62%

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures

Thanh Tam Nguyen, Thanh Trung Huynh, Zhao Ren, Thanh Toan Nguyen, Phi Le Nguyen, Hongzhi Yin, Quoc Viet Hung Nguyen

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments Revision

2402.08703 2024-06-27 q-bio.BM cs.AI cs.LG 62%

A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation

Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

2406.16910 2024-06-26 eess.SP cs.AI cs.HC cs.LG q-bio.NC 62%

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning

Chi-Sheng Chen, Chun-Shu Wei

专题命中仓库级理解：repository(abstract)；分类 cs.AI、cs.LG

Comments 19 pages, 14 figures

2401.15351 2024-06-25 cs.CL cs.AI cs.IR 62%

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Xiaobao Wu, Thong Nguyen, Anh Tuan Luu

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments Accepted to Artificial Intelligence Review. See https://doi.org/10.1007/s10462-023-10661-7 and a paper list at https://github.com/BobXWu/Paper-Neural-Topic-Models

2406.03577 2024-06-07 cs.SE cs.AI 62%

Explaining the Contributing Factors for Vulnerability Detection in Machine Learning

Esma Mouine, Yan Liu, Lu Xiao, Rick Kazman, Xiao Wang

专题命中仓库级理解：repository(abstract)；分类 cs.SE、cs.AI

2402.17447 2024-06-07 cs.CL cs.AI cs.IR 62%

Deep Learning Based Named Entity Recognition Models for Recipes

Mansi Goel, Ayush Agarwal, Shubham Agrawal, Janak Kapuriya, Akhil Vamshi Konam, Rishabh Gupta, Shrey Rastogi, Niharika, Ganesh Bagler

专题命中仓库级理解：repository(abstract)；分类 cs.CL、cs.AI

Comments 13 pages, 6 main figures and 2 in appendices, and 3 main tables; Accepted for publication in LREC-COLING 2024

1. 仓库级理解 3924 篇

Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era

mDAE : modified Denoising AutoEncoder for missing data imputation

Real-Time Fitness Exercise Classification and Counting from Video Frames

Towards unearthing neglected climate innovations from scientific literature using Large Language Models

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps

FilterNet: Harnessing Frequency Filters for Time Series Forecasting

Conceptual Engineering Using Large Language Models

AutoTimes: Autoregressive Time Series Forecasters via Large Language Models

A Survey of Knowledge Graph Reasoning on Graph Types: Static, Dynamic, and Multimodal

ANT: Adaptive Noise Schedule for Time Series Diffusion Models

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection

Taming the Tail: Leveraging Asymmetric Loss and Pade Approximation to Overcome Medical Image Long-Tailed Class Imbalance

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy

Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning

AutoGeo: Automating Geometric Image Dataset Creation for Enhanced Geometry Understanding

Flexible and Effective Mixing of Large Language Models into a Mixture of Domain Experts

InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning

Fairness in Large Language Models in Three Hours

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations

Uncertainty Aware Neural Network from Similarity and Sensitivity

Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures

A Survey of Generative AI for de novo Drug Design: New Frontiers in Molecule and Protein Generation

Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Explaining the Contributing Factors for Vulnerability Detection in Machine Learning

Deep Learning Based Named Entity Recognition Models for Recipes