AI Agent

Machine Learning Systems are Bloated and Vulnerable

Huaifeng Zhang, Fahmi Abdulqadir Ahmed, Dyako Fatih, Akayou Kitessa, Mohannad Alhanahnah, Philipp Leitner, Ahmed Ali-Eldin

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG、cs.SE

A Compact LSTM-SVM Fusion Model for Long-Duration Cardiovascular Diseases Detection

Siyang Wu

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Morphological Profiling for Drug Discovery in the Era of Deep Learning

Qiaosi Tang, Ranjala Ratnayake, Gustavo Seabra, Zhe Jiang, Ruogu Fang, Lina Cui, Yousong Ding, Tamer Kahveci, Jiang Bian, Chenglong Li, Hendrik Luesch, Yanjun Li

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments 44 pages, 5 figure, 5 tables

Intelligent Data-Driven Architectural Features Orchestration for Network Slicing

Rodrigo Moreira, Flavio de Oliveira Silva, Tereza Cristina Melo de Brito Carvalho, Joberto S. B. Martins

专题命中 工作流自动化 ：planning(abstract)；分类 cs.AI、cs.LG

Comments 12 pages, 6 figures, Conference ADVANCE 24 - International Workshop on ADVANCEs in ICT Infrastructures and Services - February 26--29, 2024 - Hanoi, Vietnam

ReACT: Reinforcement Learning for Controller Parametrization using B-Spline Geometries

Thomas Rudolf, Daniel Flögel, Tobias Schürmann, Simon Süß, Stefan Schwab, Sören Hohmann

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 7 pages, 7 figures, accepted at the 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, HI, USA

Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk

Dennis Ulmer, Elman Mansimov, Kaixiang Lin, Justin Sun, Xibin Gao, Yi Zhang

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Identification of Regulatory Requirements Relevant to Business Processes: A Comparative Study on Generative AI, Embedding-based Ranking, Crowd and Expert-driven Methods

Catherine Sai, Shazia Sadiq, Lei Han, Gianluca Demartini, Stefanie Rinderle-Ma

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Automating Knowledge Acquisition for Content-Centric Cognitive Agents Using LLMs

Sanjay Oruganti, Sergei Nirenburg, Jesse English, Marjorie McShane

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.CL

Comments 7 pages, 7 figures, AAAI Fall Symposium Series 2023 on Integrating Cognitive Architecture and Generative Models

Maximum Reward Formulation In Reinforcement Learning

Sai Krishna Gottipati, Yashaswi Pathak, Rohan Nuttall, Sahir, Raviteja Chunduru, Ahmed Touati, Sriram Ganapathi Subramanian, Matthew E. Taylor, Sarath Chandar

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 14 pages, 5 figures Update based on reviewer feedback

All in One: Multi-task Prompting for Graph Neural Networks

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments KDD 23 Best Research Paper Award, which is the first for Hong Kong and Mainland China. A Python Library is released as ProG: https://github.com/sheldonresearch/ProG Submitted to SIGKDD'23 in 03 Feb 2023; Receive Acceptance in 17 May 2023 (Rating 3 4 4 4); Submit to arXiv 1st time in 4 Jul 2023

Inversion-Free Image Editing with Natural Language

Sihan Xu, Yidong Huang, Jiayi Pan, Ziqiao Ma, Joyce Chai

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Project Page: https://sled-group.github.io/InfEdit/

FedGeo: Privacy-Preserving User Next Location Prediction with Federated Learning

Chung Park, Taekyoon Choi, Taesan Kim, Mincheol Cho, Junui Hong, Minsung Choi, Jaegul Choo

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023)

FoMo Rewards: Can we cast foundation models as reward functions?

Ekdeep Singh Lubana, Johann Brehmer, Pim de Haan, Taco Cohen

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted to NeurIPS FMDM workshop

Similarity-based Knowledge Transfer for Cross-Domain Reinforcement Learning

Sergio A. Serrano, Jose Martinez-Carranza, L. Enrique Sucar

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 30 pages, 7 figures

Towards autonomous system: flexible modular production system enhanced with large language model agents

Yuchen Xia, Manthan Shenoy, Nasser Jazdi, Michael Weyrich

专题命中 工作流自动化 ：planning(abstract)；分类 cs.CL、cs.SE

Comments This is the pre-print draft manuscript. The peer-reviewed version will be published exclusively by IEEE after the conference, which is set to take place from September 12th to 15th, 2023. We've made several improvements to the final version of the paper based on valuable feedback and suggestions from other researchers

Journal ref 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)

Transforming organic chemistry research paradigms: moving from manual efforts to the intersection of automation and artificial intelligence

Chengchun Liu, Yuntian Chen, Fanyang Mo

专题命中 工作流自动化 ：planning(abstract)；分类 cs.AI、cs.LG

Large Language Model-Driven Classroom Flipping: Empowering Student-Centric Peer Questioning with Flipped Interaction

Chee Wei Tan

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Submitted

Regions are Who Walk Them: a Large Pre-trained Spatiotemporal Model Based on Human Mobility for Ubiquitous Urban Sensing

Ruixing Zhang, Liangzhe Han, Leilei Sun, Yunqi Liu, Jibin Wang, Weifeng Lv

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments 8 pages

MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows

Dimitris Stripelis, Chrysovalantis Anastasiou, Patrick Toral, Armaghan Asghar, Jose Luis Ambite

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments 15 pages, 11 figures, Accepted at DistributedML '23

Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling

Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments 22 pages, 12 figures

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Accepted to Findings of EMNLP 2023

Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence

Pedro A. Moreno-Sanchez

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2105.10368

Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings

Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron Courville

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Active Inverse Reward Design

Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell

专题命中 工作流自动化 ：AI agent(abstract)；分类 cs.AI、cs.LG

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Accepted to NeurIPS 2021

Automated Paper Screening for Clinical Reviews Using Large Language Models

Eddie Guo, Mehul Gupta, Jiawen Deng, Ye-Jean Park, Mike Paget, Christopher Naugler

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments 15 pages, 2 figures, 4 tables

Reinforcement Learning with a Terminator

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2022

Fast exploration and learning of latent graphs with aliased observations

Miguel Lazaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing

Meraj Mammadov

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 6 pages

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science

Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Paper accompanying Open-Source Software from https://github.com/IntelLabs/matsciml

Journal ref Transactions on Machine Learning Research (2023)