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Publication search results
found 299 matches
- 2024
- Mohammed Abdullah, Nermin K. Negied:
Detection and Prediction of Future Mental Disorder From Social Media Data Using Machine Learning, Ensemble Learning, and Large Language Models. IEEE Access 12: 120553-120569 (2024) - Santiago Moreno-Carbonell, Eugenio Fco. Sánchez-Úbeda:
A Piecewise Linear Regression Model Ensemble for Large-Scale Curve Fitting. Algorithms 17(4): 147 (2024) - Yueyu Jiang, Daniel McDonald, Daniela Perry, Rob Knight, Siavash Mirarab:
Scaling DEPP phylogenetic placement to ultra-large reference trees: a tree-aware ensemble approach. Bioinform. 40(6) (2024) - Sheng Wang, Ke Zhang, Lijun Chao, Guoding Chen, Yi Xia, Hongjun Bao, Chuntang Zhang:
A new approach for gridded risk assessment of rainfall-triggered flood and landslide hazards over a large region based on coupled flood-landslide modelling and ensemble simulation. Environ. Model. Softw. 172: 105917 (2024) - Xin-Lei Zhang, Lei Zhang, Guowei He:
Parallel ensemble Kalman method with total variation regularization for large-scale field inversion. J. Comput. Phys. 509: 113059 (2024) - Thanh Trinh, Hoang-Anh Le, Nhung Vuongthi, Hai Hoang-Duc, KieuAnh VuThi:
A novel ensemble-based paradigm to process large-scale data. Multim. Tools Appl. 83(9): 26663-26685 (2024) - Lakshmanarao Namamula, Daniel Chaytor:
Effective ensemble learning approach for large-scale medical data analytics. Int. J. Syst. Assur. Eng. Manag. 15(1): 13-20 (2024) - Michel Giner, Francois Affholder, Gatien N. Falconnier, Vimbayi Grace Petrova Chimonyo, Louise Leroux, Sandrine Auzoux, Myriam Adam, Patrice Kouakou, Romain Loison, Cyrille Ahmed Midingoyi, Erik Chavez:
ACME (Agile Crop Model Ensemble): A package to generate and run large virtual experiments with ensembles of crop simulation models. SoftwareX 27: 101777 (2024) - Dulcenombre M. Saz-Navarro, Aurelio López-Fernández, Francisco Antonio Gómez Vela, Domingo S. Rodríguez-Baena:
CyEnGNet - App: A new Cytoscape app for the reconstruction of large co-expression networks using an ensemble approach. SoftwareX 25: 101634 (2024) - Talha Bozkus, Urbashi Mitra:
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks. IEEE Trans. Signal Process. 72: 1114-1129 (2024) - Francesco Tonolini, Nikolaos Aletras, Jordan Massiah, Gabriella Kazai:
Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models. ACL (Findings) 2024: 12229-12272 - Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky:
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) 2024: 14002-14024 - Hamza Yunis:
Arthur Schopenhauer at Touché 2024: Multi-Lingual Text Classification Using Ensembles of Large Language Models. CLEF (Working Notes) 2024: 3509-3517 - Atish Kumar Dipongkor:
An Ensemble Method for Bug Triaging using Large Language Models. ICSE Companion 2024: 438-440 - Keming Lu, Hongyi Yuan, Runji Lin, Junyang Lin, Zheng Yuan, Chang Zhou, Jingren Zhou:
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models. NAACL-HLT 2024: 1964-1974 - Souvik Das, Rohini K. Srihari:
Compos Mentis at SemEval2024 Task6: A Multi-Faceted Role-based Large Language Model Ensemble to Detect Hallucination. SemEval@NAACL 2024: 1449-1454 - Zihang Sun, Danqi Yan, Anyi Wang, Tanalp Agustoslu, Qi Feng, Chengzhi Hu, Longfei Zuo, Shijia Zhou, Hermine Kleiner, Pingjun Hong:
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI. SemEval@NAACL 2024: 1577-1583 - Ankit Vaidya, Aditya Gokhale, Arnav Desai, Ishaan Shukla, Sheetal Sonawane:
CLTeam1 at SemEval-2024 Task 10: Large Language Model based ensemble for Emotion Detection in Hinglish. SemEval@NAACL 2024: 365-369 - Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. SIGIR 2024: 2910-2914 - Talha Bozkus, Urbashi Mitra:
Leveraging Digital Cousins for Ensemble Q-Learning in Large-Scale Wireless Networks. CoRR abs/2402.08022 (2024) - Chenhao Fang, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
LLM-Ensemble: Optimal Large Language Model Ensemble Method for E-commerce Product Attribute Value Extraction. CoRR abs/2403.00863 (2024) - Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu:
Enabling Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration. CoRR abs/2404.12715 (2024) - Mateusz Wozny, Mateusz Lango:
Generating clickbait spoilers with an ensemble of large language models. CoRR abs/2405.16284 (2024) - Yiming Li, Deepthi Viswaroopan, William He, Jianfu Li, Xu Zuo, Hua Xu, Cui Tao:
Improving Entity Recognition Using Ensembles of Deep Learning and Fine-tuned Large Language Models: A Case Study on Adverse Event Extraction from Multiple Sources. CoRR abs/2406.18049 (2024) - Priyanka Mudgal, Rita H. Wouhaybi:
Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data. CoRR abs/2407.00048 (2024) - Jinliang Lu, Ziliang Pang, Min Xiao, Yaochen Zhu, Rui Xia, Jiajun Zhang:
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models. CoRR abs/2407.06089 (2024) - Kevin Gu, Eva Tuecke, Dmitriy Katz, Raya Horesh, David Alvarez-Melis, Mikhail Yurochkin:
CharED: Character-wise Ensemble Decoding for Large Language Models. CoRR abs/2407.11009 (2024) - Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion:
Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding. CoRR abs/2407.12056 (2024) - Jiahao Zhang, Zilong Wang, Ruofan Wang, Xingjun Ma, Yu-Gang Jiang:
EnJa: Ensemble Jailbreak on Large Language Models. CoRR abs/2408.03603 (2024) - 2023
- Xiurong Zhong, Shukai Duan, Lidan Wang:
An effective and efficient broad-based ensemble learning model for moderate-large scale image recognition. Artif. Intell. Rev. 56(5): 4197-4215 (2023)
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