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22nd ICMLA 2023: Jacksonville, FL, USA
- International Conference on Machine Learning and Applications, ICMLA 2023, Jacksonville, FL, USA, December 15-17, 2023. IEEE 2023, ISBN 979-8-3503-4534-6
- Haocheng Zhao, Limin Yu, Runwei Guan, Liye Jia, Junqing Zhang, Yutao Yue:
PLSR: Unstructured Pruning with Layer-Wise Sparsity Ratio. 1-8 - Fabricio Quirós-Corella, Reinaldo Pereira, Yendry Regina Corrales-Ureña:
Microvilli Semantic Segmentation in Microscopy Images Using a Visual Learning Pipeline. 1-8 - Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang:
Multitask Learning for Time Series Data with 2D Convolution. 9-16 - Simon Stieber, Leonard Heber, Christof Obertscheider, Wolfgang Reif:
Control of Composite Manufacturing Processes Through Deep Reinforcement Learning. 17-22 - Mehdi Sadeghilalimi, Malek Mouhoub, Haifa Zaidi, Aymen Ben Said:
Solving the Electricity Technician Dispatch Problem. 23-30 - Rodolfo Quispe, Cuiling Lan, Zhizheng Zhang, Hélio Pedrini:
AReID: Rethinking Re-Identification and Occlusions for Multi-Object Tracking. 31-37 - Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini:
Mandible Segmentation from CT and CBCT Images Based on a Patch-Based Convolutional Neural Network. 38-44 - Kacem Khaled, Mouna Dhaouadi, Felipe Gohring de Magalhaes, Gabriela Nicolescu:
Efficient Defense Against Model Stealing Attacks on Convolutional Neural Networks. 45-52 - Alexander M. Moore, Randy C. Paffenroth, Ken T. Ngo, Joshua R. Uzarski:
ChemVise: Maximizing Out-of-Distribution Chemical Detection with a Novel Application of Transfer Learning. 53-60 - Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel
, H. T. Kung:
StitchNet: Composing Neural Networks from Pre-Trained Fragments. 61-68 - Leandro Stival
, Ricardo da Silva Torres, Hélio Pedrini:
SwinFVC: A Swin Flow Video Colorization Example-Based Method. 69-75 - Ryan McCoppin, Colin Dawson, Sean M. Kennedy, Leslie M. Blaha:
Evaluating Adversarial Robustness with Expected Viable Performance. 76-82 - Bradley McDanel
, Chi Phuong Ngoc Huynh:
Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. 83-89 - Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan
, Lan Zhang:
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. 90-97 - Safwen Naimi, Olfa Koubaa, Wassim Bouachir, Guillaume-Alexandre Bilodeau, Gregory Jeddore, Patricia Baines, David L. P. Correia, Andre Arsenault:
Automating Lichen Monitoring in Ecological Studies Using Instance Segmentation of Time-Lapse Images. 98-103 - Ting Fung Lam, Yony Bresler, Ahmed Khorshid, Nathan Perlmutter:
Improved Batching Strategy For Irregular Time-Series ODE. 104-111 - Chuizheng Kong, William Yerazunis, Daniel Nikovski:
Stochastic Learning Manipulation of Object Pose With Under-Actuated Impulse Generator Arrays. 112-119 - André V. Duarte, Arlindo L. Oliveira:
Improving Embeddings for High-Accuracy Transformer-Based Address Matching Using a Multiple in-Batch Negatives Loss. 120-127 - Quincy Hershey
, Randy C. Paffenroth, Harsh Nilesh Pathak
:
Exploring Neural Network Structure through Sparse Recurrent Neural Networks: A Recasting and Distillation of Neural Network Hyperparameters. 128-135 - Chafic Abou Akar, André Luckow, Ahmad Obeid
, Christian Beddawi, Marc Kamradt, Abdallah Makhoul:
Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction. 136-143 - Sihang Jiang, Johanna Loomba, Andrea Zhou, Suchetha Sharma, Saurav Sengupta, Donald E. Brown:
A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data. 144-151 - Hirofumi Tsuruta, Yukari Katsura, Masaya Kumagai:
DeepCrysTet: A Deep Learning Approach Using Tetrahedral Mesh for Predicting Properties of Crystalline Materials. 152-157 - Yasutaka Nishimura, Naoto Takeda, Roberto Legaspi, Kazushi Ikeda, Thomas Plötz, Sonia Chernova:
ALLFA: Active Learning Through Label and Feature Augmentation. 158-165 - Julian Müller, Lukas Czekalla, Florian Schuchter, Georg Frey:
Illuminating the Black Box: A Comparative Study of Explainable AI for Interpreting Time Series Data in Vehicle Power Net Consumption Models. 166-173 - Yuma Dose, Shuichiro Haruta, Takahiro Hara:
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario. 174-181 - Johannes V. S. Busch, Robert Voelckner, Peter Sossalla, Christian L. Vielhaus, Roberto Calandra, Frank H. P. Fitzek
:
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice. 182-187 - Ahmad Ayad, Mahdi Barhoush, Benedikt Völker, Steffen Leonhardt, Anke Schmeink:
Energy Efficient ECG Classifier Using Smart Lead Switching and Apache TVM. 188-193 - Shan Suthaharan:
Fall Detection using Machine Learning Techniques and Frequency-Driven Riemannian Manifolds. 194-201 - Yasunori Taguchi, Hiro Gangi:
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR. 202-209 - Daniel S. Adams
, Taylor Hauser
, Jessica Moehl:
Decoding Ethiopian Abodes: Towards Classifying Buildings by Occupancy Type Using Footprint Morphology. 210-217 - Alireza Dehlaghi-Ghadim, Tijana Markovic, Miguel Leon, David Söderman, Per Erik Strandberg:
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. 218-225 - Borui He, Garrett E. Katz:
Will Poppy Fall? Predicting Robot Falls in Advance Based on Visual Input. 226-232 - Kuangdai Leng, Jeyan Thiyagalingam:
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. 233-240 - Madhushan Buwaneswaran, Tehara Fonseka, Apurva Narayan, Katarina Grolinger:
Improving Adversarial Robustness of Few-Shot Learning with Contrastive Learning and Hypersphere Embedding. 241-248 - Viswadeep Lebakula
, Eve Tsybina, Kadir Amasyali, Justin M. Hill, Jeffrey Munk, Helia Zandi
:
Anomaly detection for MPC forecast in Fleet of Water Heaters. 249-256 - Jean Erik Delanois, Aditya Ahuja, Giri P. Krishnan, Timothy Tadros, Julian J. McAuley, Maxim Bazhenov:
Improving Robustness of Convolutional Networks Through Sleep-Like Replay. 257-264 - Jiefei Liu, Huiping Cao
, Abu Saleh Md Tayeen, Satyajayant Misra, Pratyay Kumar, Jayashree Harikumar:
Multi-Model-Based Federated Learning to Overcome Local Class Imbalance Issues. 265-270 - Jingyi Gao, Runze Yan, Afsaneh Doryab:
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics. 271-278 - Daniel Rosen, Illa Rochez, Caleb McIrvin, Joshua Lee, Kevin D'Alessandro, Max Wiecek, Nhan Hoang, Ramzy Saffarini, Sam Philips, Vanessa Jones, Will Ivey, Zavier Harris-Smart, Zavion Harris-Smart, Zayden Chin, Amos Johnson, Alyse M. Jones, William C. Headley:
RFRL Gym: A Reinforcement Learning Testbed for Cognitive Radio Applications. 279-286 - Yiming Jia, Mehrdad Sasani:
Symbolic-Based Recurrent Neural Networks for Metamodeling of Nonlinear Structural Models. 287-292 - Tamilselvan Balasuntharam, Heidar Davoudi, Mehran Ebrahimi:
Preferential Proximal Policy Optimization. 293-300 - Mohammed Aburidi, Roummel F. Marcia:
Optimal Transport and Contrastive-Based Clustering for Annotation-Free Tissue Analysis in Histopathology Images. 301-307 - Manish Bhattarai, Mehmet Cagri Kaymak, Ryan Barron
, Ben Nebgen, Kim Ø. Rasmussen, Boian S. Alexandrov:
Robust Adversarial Defense by Tensor Factorization. 308-315 - Shuaiyu Li, Yang Ruan, Changzhou Long, Yuzhong Cheng:
Efficient CNN-LSTM Based Parameter Estimation of Lévy Driven Stochastic Differential Equations. 316-323 - Dan Halbersberg, Roni Yasinnik, Matan Halevi, Moshe Salhov:
Temporal-Based Action Graph with Sequential Pattern Mining for ChuRN Detection: a Playtika Case Study. 324-331 - Emilio Zarbali, Alwin Hoffmann, Jonas Hepp:
Contrastive Pretraining of Regression Tasks in Reliability Forecasting of Automotive Electronics. 332-338 - Matthias Bittner, Daniel Hauer, Christian Stippel, Katharina Scheucher, Robin Sudhoff
, Axel Jantsch:
Forecasting Critical Overloads based on Heterogeneous Smart Grid Simulation. 339-346 - Nikin Matharaarachchi, Muhammad Fermi Pasha, Sonya Coleman, Dermot Kerr:
Time Efficient Micro-Expression Recognition Using Weighted Spatio-Temporal Landmark Graphs. 347-354 - Grant Ellison, Milla Penelope Markovic, Delaram Yazdansepas:
Real-Time Human Activity Classification Using Gait Cycle Averaging and Biometric Heuristics. 355-361 - Harsh Nilesh Pathak
, Randy C. Paffenroth, Quincy Hershey
:
Sequentia12D: Organizing Center of Skip Connections for Transformers. 362-368 - Amr S. Mohamed, Sumin Lee, Deepa Kundur:
Reinforcement Learning for Supply Chain Attacks Against Frequency and Voltage Control. 369-375 - Davide Porello
, Ugo A. Buy, Kyle W. Boerke, M. Pieta Keller:
Early Detection of Mental and Behavioral Health Issues from High-School Academic Performance. 376-383 - Weiheng Zhong, Tanwi Mallick, Jane MacFarlane, Hadi Meidani, Prasanna Balaprakash:
Graph Pyramid Autoformer for Long- Term Traffic Forecasting. 384-391 - Yimeng Min, Ming-Chiang Chang, Shufeng Kong, John M. Gregoire, R. Bruce van Dover, Michael O. Thompson, Carla P. Gomes:
Physically Informed Graph-Based Deep Reasoning Net for Efficient Combinatorial Phase Mapping. 392-399 - Joseph Coble, Armon Barton, Christian Darken, Scotty Black:
Optimizing Naval Movement Using Deep Reinforcement Learning. 400-407 - Jinsu Hong
, Chetraj Pandey, Anli Ji, Berkay Aydin:
An Innovative Solar Flare Metadata Collection for Space Weather Analytics. 408-413 - Basel Barakat, Qiang Huang:
Enhancing Transfer Learning Reliability via Block-Wise Fine-Tuning. 414-421 - Anh N. Nhu, Ngoc-Anh Le, Shihang Li, Thang D. V. Truong:
Physics-Guided Reinforcement Learning System for Realistic Vehicle Active Suspension Control. 422-429 - Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Scott A. Chapman, Donald E. Brown:
Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C. 430-436 - Yuxin Yang, Zhengyong Ren, Chris Lenart, Ashton Corsello, Karl W. Kosko, Simon Su, Qiang Guan:
Deep Learning-based Student Learning Behavior Understanding Framework in Real Classroom Scene. 437-444 - Sneha Paul, Zachary Patterson, Nizar Bouguila:
Semantic Segmentation Using Transfer Learning on Fisheye Images. 445-452 - Omar Bahri, Peiyu Li, Pouya Hosseinzadeh, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi:
Shapelet-Preserving Bootstrapping For Time Series Data Augmentation. 453-458 - Mohamed Ndiaye, Mamadou Mboup:
Empirical Mode Decomposition with Envelope Extraction and LSTM for univariate time series forecasting. 459-464 - John T. Hancock, Taghi M. Khoshgoftaar:
Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data. 465-471 - Amit Kumar Singh Yadav, Kratika Bhagtani, Ziyue Xiang, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
DSVAE: Disentangled Representation Learning for Synthetic Speech Detection. 472-479 - Leonardos Pantiskas
, Kees Verstoep
, Mark Hoogendoorn
, Henri E. Bal
:
Channel-Adaptive Early Exiting Using Reinforcement Learning for Multivariate Time Series Classification. 480-487 - Tianze Wang, Amir Hossein Payberah, Vladimir Vlassov:
Graph Representation Learning with Graph Transformers in Neural Combinatorial Optimization. 488-495 - Amit Kumar Singh Yadav, Ziyue Xiang, Kratika Bhagtani, Paolo Bestagini, Stefano Tubaro, Edward J. Delp:
PS3DT: Synthetic Speech Detection Using Patched Spectrogram Transformer. 496-503 - Jessica Weiler, Andreas Theissler
, Uwe Messer:
From Pixels to Palate: Deep Learning-Based Image Aesthetics Assessment for Food and Beverages. 504-511 - Md. Azim Khan, Nadeem Ahmed, Joyce Padela, Muhammad Shehrose Raza, Aryya Gangopadhyay, Jianwu Wang, James Foulds, Carl E. Busart, Robert F. Erbacher:
Flood-ResNet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. 512-519 - Valeriu Balaban, Jayson Sia, Paul Bogdan:
Robust Learning Under Label Noise by Optimizing the Tails of the Loss Distribution. 520-527 - Michael Lindemann, Kathleen DeMichele, Masoumeh Heidari Kapourchali, Mohammad Heidari Kapourchali, Christine F. Waigl, Erin Trochim, Long Zhao:
Igniting Precision: Amplifying Wildfire Prediction in Diverse Regions via Teacher-Student Model Fusion. 528-535 - Eun-Sang Bak
, Youngeun An, Sung Bum Pan:
A Novel Multi-Label Evaluation Measure with Comparative Analysis. 536-542 - Alaa Nfissi
, Wassim Bouachir, Nizar Bouguila, Brian L. Mishara:
Iterative Feature Boosting for Explainable Speech Emotion Recognition. 543-549 - Salim Sazzed, Sharif Ullah
:
Enhancing Efficiency and Privacy in Memory-Based Malware Classification Through Feature Selection. 550-557 - Khaznah Alshammari, Kartik Saini, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi:
End-to-End Attention/Transformer Model for Solar Flare Prediction from Multivariate Time Series Data. 558-565 - Hüseyin Anil Gündüz, Sheetal Giri, Martin Binder, Bernd Bischl, Mina Rezaei:
Uncertainty Quantification for Deep Learning Models Predicting the Regulatory Activity of DNA Sequences. 566-573 - Chiho Kim, Sang-Yoon Chang, Jonghyun Kim, Jinoh Kim:
An Empirical Evaluation of Autoencoding-Based Location Spoofing Detection. 574-579 - Lucas Hartman, Santiago Gomez-Rosero
, Patrick Adjei, Miriam A. M. Capretz:
Multi-Factor Edge-Weighting with Reinforcement Learning for Load Balancing of Electric Vehicle Charging Stations. 580-587 - Thais Rodrigues Neubauer, Jari Peeperkorn
, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato:
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. 588-594 - Rajesh Kalakoti
, Sven Nõmm, Hayretdin Bahsi:
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). 595-601 - Mohammed Aldeen, Joshua Luo, Ashley Lian, Venus Zheng, Allen Hong, Preethika Yetukuri, Long Cheng:
ChatGPT vs. Human Annotators: A Comprehensive Analysis of ChatGPT for Text Annotation. 602-609 - Kai Wang, Daniel Lasaga, John Helms, Edward Bowen, Sanmitra Bhattacharya:
How far is too far? Identifying suspicious travel patterns in healthcare claims using machine learning. 610-617 - Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Mohammad Akyash, Hossein Kashiani, Nasser M. Nasrabadi:
Multi-Context Dual Hyper-Prior Neural Image Compression. 618-625 - Naghmeh Shafiee Roudbari, Charalambos Poullis, Zachary Patterson, Ursula Eicker:
TransGlow: Attention-augmented Transduction model based on Graph Neural Networks for Water Flow Forecasting. 626-632 - Rebati Raman Gaire, Sepehr Tabrizchi, Arman Roohi:
EnCoDe: Enhancing Compressed Deep Learning Models Through Feature - - - Distillation and Informative Sample Selection. 633-638 - Sadia Kamal, Jimmy Hartford, Jeremy Willis, Arunkumar Bagavathi:
Learning Unbiased News Article Representations: A Knowledge-Infused Approach. 639-646 - Namarta Vij, Aznam Yacoub, Ziad Kobti:
XLNet4Rec: Recommendations Based on Users' Long-Term and Short-Term Interests Using Transformer. 647-652 - Peiyu Li, Pouya Hosseinzadeh, Omar Bahri, Soukaina Filali Boubrahimi, Shah Muhammad Hamdi:
Adversarial Attack Driven Data Augmentation for Time Series Classification. 653-658 - Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang:
Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. 659-666 - Atefeh Khoshkhahtinat, Ali Zafari, Piyush M. Mehta, Nasser M. Nasrabadi, Barbara J. Thompson, Michael S. F. Kirk, Daniel Da Silva:
Context-Aware Neural Video Compression on Solar Dynamics Observatory. 667-674 - Foozhan Ataiefard, Hadi Hemmati:
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents*. 675-682 - Shubham Trehan, Udhav Ramachandran, Ruth Scimeca, Sathyanarayanan N. Aakur:
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition. 683-688 - Sahara Ali, Omar Faruque, Yiyi Huang, Md. Osman Gani, Aneesh Subramanian, Nicole-Jeanne Schlegel, Jianwu Wang:
Quantifying Causes of Arctic Amplification via Deep Learning Based Time-Series Causal Inference. 689-696 - Abu Kaisar Mohammad Masum, Nusrat Badhon, S. M. Saiful Islam Badhon, Nushrat Jahan Ria, Sheikh Abujar, Muntaser Mansur Syed, Naveed Mahmud:
Comparative Evaluation of Transfer Learning for Classification of Brain Tumor Using MRI. 697-702 - Chetraj Pandey, Rafal A. Angryk, Berkay Aydin:
Unveiling the Potential of Deep Learning Models for Solar Flare Prediction in Near-Limb Regions. 703-708 - Mohammad Wali Ur Rahman
, Murad Mehrab Abrar, Hunter Gibbons Copening, Salim Hariri, Sicong Shao, Pratik Satam, Soheil Salehi:
Quantized Transformer Language Model Implementations on Edge Devices. 709-716 - Sandipan Choudhuri, Suli Adeniye, Arunabha Sen:
A Robust Negative Learning Approach to Partial Domain Adaptation Using Source Prototypes. 717-724 - Nasik Muhammad Nafi, Ashley Rediger, Scott Dietrich, William H. Hsu:
Relevant Instance Segmentation in American Football Practice Images to Aid Risky Tackle Detection. 725-729 - Olaoluwa Adigun, Bart Kosko:
Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising. 730-737 - Jian Xu, Guangfeng Yan
, Ziyan Zheng, Shao-Lun Huang:
Mitigating Model Poisoning Attacks on Distributed Learning with Heterogeneous Data. 738-743 - Avishek Bose, William H. Hsu:
Attention-Augmented Parametric Kernel Graph Neural Network (APKGNN) for Node Classification. 744-751 - Dário P. Dos Santos, João Paulo J. Da Costa, Daniel Alves da Silva, Fábio L. L. Mendonça, Carlos Eduardo Lacerda Veiga, Rafael T. de Sousa:
Multi-Class Text Classification Based in Oversampling for Highly Imbalanced Dataset. 752-755 - John G. Warner, Quinton Davidson, Michael Tietz, William Scharpf, Charles Keene:
Characterizing CNN-Based Vessel Detection Algorithm Sensitivity to Optical Sensor Artifacts. 756-763 - Shuhei Nitta, Taiji Suzuki, Albert Rodríguez Mulet, Atsushi Yaguchi, Ryusuke Hirai:
Scalable Federated Learning for Clients with Different Input Image Sizes and Numbers of Output Categories. 764-769 - Sina Alizadeh, Malek Mouhoub:
A New Self-Adaptive Hybrid Approach Based on History-Driven Methods for Improving Metaheuristics. 770-775 - Viet Huynh, Buser Say, Peter Vogel, Lucy Cao, Geoffrey I. Webb, Aldeida Aleti:
Rapid Identification of Protein Formulations with Bayesian Optimisation. 776-781 - Hichem Bannour, Kesav Kancherla, Zhen Zhu:
Optimizing Audio Advertising Campaign Delivery with a Limited Budget. 782-787 - Paulo H. J. Amorim, Thiago F. Moraes, Jorge Vicente Lopes da Silva, Hélio Pedrini:
Epileptic Electroencephalogram Signal Classification Based on Shearlet and Contourlet Transforms. 788-793 - Corentin Boidot, Olivier Augereau, Pierre De Loor, Riwal Lefort:
Benefits of Using Multiple Post-Hoc Explanations for Machine Learning. 794-799 - Wei Chen, Yihui Ren
, Ai Kagawa, Matthew R. Carbone, Samuel Yen-Chi Chen, Xiaohui Qu, Shinjae Yoo, Austin Clyde, Arvind Ramanathan, Rick L. Stevens, Hubertus Van Dam
, Deyu Lu:
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats. 800-807 - Jawad Chowdhury, Gabriel Terejanu:
CD- NOTEARS: Concept Driven Causal Structure Learning Using NOTEARS. 808-813 - Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau:
HCT: Hybrid Convnet-Transformer for Parkinson's Disease Detection and Severity Prediction from Gait. 814-819 - Manfred Minimair
, Richard J. Boergers, Michael Ciminiello, Emily Giannini, Natasha Rosa, Zachary Sylvester, Anthony Vischovich:
Machine Learning of Feature Importance for Biomechanical Efficiency of Baseball Pitching. 820-824 - Ankit Pratap Singh
, Ronak Tali:
Byzantine Resilient Federated REINFORCE (GM-FedREINFORCE). 825-830 - Pouya Pezeshkpour:
Measuring and Modifying Factual Knowledge in Large Language Models. 831-838