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This systematic literature review comprehensively examines the application of Large Language Models (LLMs) in forecasting and anomaly detection, highlighting the current state of research, inherent challenges, and prospective future directions.
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Long short-term memory
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The vanishing gradient problem during learning recurrent neural nets and problem solutions
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Wei Xu and Alex Rudnicky · 2000
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Yoshua Bengio, Réjean Ducharme, and Pascal Vincent · 2000
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Design of an artificial immune system as a novel anomaly detector for combating financial fraud in the retail sector
Jungwon Kim, Arlene Ong, and Richard E Overill · 2003
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Backoff parameter estimation for the dop model
Khalil Sima’an and Luciano Buratto · 2003
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A neural probabilistic language model
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On time series analysis of public health and biomedical data
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Lessons from applying the systematic literature review process within the software engineering domain
Pearl Brereton, Barbara A Kitchenham, David Budgen, Mark Turner, and Mohamed Khalil · 2007
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What supercomputers say: A study of five system logs
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Systematic literature reviews in software engineering – A systematic literature review
Barbara Kitchenham, O. Pearl Brereton, David Budgen, Mark Turner, John Bailey, and Stephen Linkman · 2009
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Detecting large-scale system problems by mining console logs
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Systematic literature reviews in software engineering–a tertiary study
Barbara Kitchenham, Rialette Pretorius, David Budgen, O Pearl Brereton, Mark Turner, Mahmood Niazi, and Stephen Linkman · 2010
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Recurrent neural network based language model
Tomas Mikolov, Martin Karafiát, Lukas Burget, Jan Cernockỳ, and Sanjeev Khudanpur · 2010
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Understanding the difficulty of training deep feedforward neural networks
Xavier Glorot and Yoshua Bengio · 2010
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Named entity recognition in tweets: an experimental study
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Faster and smaller n-gram language models
Adam Pauls and Dan Klein · 2011
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The effects of n-gram probabilistic measures on the recognition and production of four-word sequences
Antoine Tremblay and Benjamin V Tucker · 2011
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Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey E Hinton · 2011
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Systematic review in software engineering: Where we are and where we should be going
Barbara A. Kitchenham · 2012
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Software architecture optimization methods: A systematic literature review
Aldeida Aleti, Barbora Buhnova, Lars Grunske, Anne Koziolek, and Indika Meedeniya · 2012
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Statistical language models based on neural networks
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Reconstructing readability: Recent developments and recommendations in the analysis of text difficulty
Rebekah George Benjamin · 2012
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Smart and digital city: A systematic literature review
Annalisa Cocchia · 2014
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Effects on performance of analytical tools for visually demanding tasks through direct and indirect touch interaction in an immersive visualization
Zhibo Sun, Ashish Dhital, Nattaya Areejitkasem, Neera Pradhan, and Amy Banic · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Competitive distribution estimation: Why is good-turing good
Alon Orlitsky and Ananda Theertha Suresh · 2015
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Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning · 2015
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Attention-based models for speech recognition
Jan K Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, and Yoshua Bengio · 2015
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ElectricityLoadDiagrams20112014
Artur Trindade · 2015
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ICEWS coded event data, 2015
Elizabeth Boschee, Jennifer Lautenschlager, Sean O’Brien, Steve Shellman, James Starz, and Michael Ward · 2015
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Approximate mean value analysis for multi-core systems
Lei Zhang and Douglas G Down · 2015
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A survey of anomaly detection techniques in financial domain
Mohiuddin Ahmed, Abdun Naser Mahmood, and Md Rafiqul Islam · 2016
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Migrating gis big data computing from hadoop to spark: an exemplary study using twitter
Zhibo Sun, Hong Zhang, Zixia Liu, Chen Xu, and Liqiang Wang · 2016
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Science mapping: A systematic review of the literature
Chaomei Chen · 2017
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Part-of-speech tagging for twitter with adversarial neural networks
Tao Gui, Qi Zhang, Haoran Huang, Minlong Peng, and Xuan-Jing Huang · 2017
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Language modeling with gated convolutional networks
Yann N Dauphin, Angela Fan, Michael Auli, and David Grangier · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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DeepLog: Anomaly detection and diagnosis from system logs through deep learning
Min Du, Feifei Li, Guineng Zheng, and Vivek Srikumar · 2017
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Recent advances in convolutional neural networks
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Improving language understanding by generative pre-training, 2018
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Ruber: An unsupervised method for automatic evaluation of open-domain dialog systems
Chongyang Tao, Lili Mou, Dongyan Zhao, and Rui Yan · 2018
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Sparse coding for n-gram feature extraction and training for file fragment classification
Felix Wang, Tu-Thach Quach, Jason Wheeler, James B Aimone, and Conrad D James · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer · 2018
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Bottom-up and top-down attention for image captioning and visual question answering
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang · 2018
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Adversarial reprogramming of neural networks
Gamaleldin F Elsayed, Ian Goodfellow, and Jascha Sohl-Dickstein · 2018
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Indoor localization based on weighted surfacing from crowdsourced samples
Junhong Lin, Bang Wang, Guang Yang, and Mu Zhou · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Bert for stock market sentiment analysis
Matheus Gomes Sousa, Kenzo Sakiyama, Lucas de Souza Rodrigues, Pedro Henrique Moraes, Eraldo Rezende Fernandes, and Edson Takashi Matsubara · 2019
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Smva: a stable mean value analysis algorithm for closed systems with load-dependent queues
Lei Zhang and Douglas G Down · 2019
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Financial time series forecasting model based on ceemdan and lstm
Jian Cao, Zhi Li, and Jian Li · 2019
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The impact of position errors on crowd simulation
Lei Zhang, Diego Lai, and Andriy V Miranskyy · 2019
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Understanding and predicting private interactions in underground forums
Zhibo Sun, Carlos E Rubio-Medrano, Ziming Zhao, Tiffany Bao, Adam Doupé, and Gail-Joon Ahn · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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A review of recurrent neural networks: Lstm cells and network architectures
Yong Yu, Xiaosheng Si, Changhua Hu, and Jianxun Zhang · 2019
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Fully automatic segmentation on prostate mr images based on cascaded fully convolution network
Yi Zhu, Rong Wei, Ge Gao, Lian Ding, Xiaodong Zhang, Xiaoying Wang, and Jue Zhang · 2019
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Review of deep learning algorithms and architectures
Ajay Shrestha and Ausif Mahmood · 2019
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Towards burmese (myanmar) morphological analysis: Syllable-based tokenization and part-of-speech tagging
Chenchen Ding, Hnin Thu Zar Aye, Win Pa Pa, Khin Thandar Nwet, Khin Mar Soe, Masao Utiyama, and Eiichiro Sumita · 2019
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Enriching pre-trained language model with entity information for relation classification
Shanchan Wu and Yifan He · 2019
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What does bert look at? an analysis of bert’s attention
Kevin Clark, Urvashi Khandelwal, Omer Levy, and Christopher D Manning · 2019
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What does bert learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 2019
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An empirical study of spatial attention mechanisms in deep networks
Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, and Jifeng Dai · 2019
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Multi-task deep neural networks for natural language understanding
Xiaodong Liu, Pengcheng He, Weizhu Chen, and Jianfeng Gao · 2019
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Computational operations research exchange (core): A cyber-infrastructure for analytics
Yunxiao Deng, Carl Kesselman, Suvrajeet Sen, and Jiajun Xu · 2019
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Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Jianmo Ni, Jiacheng Li, and Julian McAuley · 2019
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Robust anomaly detection for multivariate time series through stochastic recurrent neural network
Ya Su, Youjian Zhao, Chenhao Niu, Rong Liu, Wei Sun, and Dan Pei · 2019
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Low-cost sensor-enabled freehand 3d ultrasound
Carl Herickhoff, Junhong Lin, and Jeremy Dahl · 2019
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Time Series Anomaly Detection Based on Language Model
Weixia Dang, Biyu Zhou, Weigang Zhang, and Songlin Hu · 2020
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HitAnomaly: Hierarchical Transformers for Anomaly Detection in System Log
Shaohan Huang, Yi Liu, Carol Fung, Rong He, Yining Zhao, Hailong Yang, and Zhongzhi Luan · 2020
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Conceptbert: Concept-aware representation for visual question answering
François Gardères, Maryam Ziaeefard, Baptiste Abeloos, and Freddy Lecue · 2020
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A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li · 2020
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Will_go at semeval-2020 task 3: An accurate model for predicting the (graded) effect of context in word similarity based on bert
Wei Bao, Hongshu Che, and Jiandong Zhang · 2020
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Vocabulary adaptation for domain adaptation in neural machine translation
Shoetsu Sato, Jin Sakuma, Naoki Yoshinaga, Masashi Toyoda, and Masaru Kitsuregawa · 2020
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Semantics-aware bert for language understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao, Zuchao Li, Shuailiang Zhang, Xi Zhou, and Xiang Zhou · 2020
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Evaluating commonsense in pre-trained language models
Xuhui Zhou, Yue Zhang, Leyang Cui, and Dandan Huang · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
LAnoBERT: System log anomaly detection based on BERT masked language model
Yukyung Lee, Jina Kim, and Pilsung Kang · 2023
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LogPrompt: A Log-based Anomaly Detection Framework Using Prompts
Ting Zhang, Xin Huang, Wen Zhao, Shaohuang Bian, and Peng Du · 2023
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Improving Log-Based Anomaly Detection by Pre-Training Hierarchical Transformers
Shaohan Huang, Yi Liu, Carol Fung, He Wang, Hailong Yang, and Zhongzhi Luan · 2023
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Learning Representations on Logs for AIOps
Pranjal Gupta, Harshit Kumar, Debanjana Kar, Karan Bhukar, Pooja Aggarwal, and Prateeti Mohapatra · 2023
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Parameter-Efficient Log Anomaly Detection based on Pre-training model and LORA
Shiming He, Ying Lei, Ying Zhang, Kun Xie, and Pradip Kumar Sharma · 2023
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Exploring semantic vs. Syntactic features for unsupervised learning on application log files
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Big self-supervised models are strong semi-supervised learners
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey E Hinton · 2020
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Mrmrp: multi-source review-based model for rating prediction
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Eca-net: Efficient channel attention for deep convolutional neural networks
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
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Huggingface’s transformers: State-of-the-art natural language processing, 2020
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander M. Rush · 2020
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Transformers: State-of-the-art natural language processing
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Egil Karlsen, Rafael Copstein, Xiao Luo, Jeff Schwartzentruber, Bradley Niblett, Andrew Johnston, Malcolm I. Heywood, and Nur Zincir-Heywood · 2023
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SimMTM: A simple pre-training framework for masked time-series modeling
Jiaxiang Dong, Haixu Wu, Haoran Zhang, Li Zhang, Jianmin Wang, and Mingsheng Long · 2023
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Research on log anomaly detection based on sentence-BERT
Caiping Hu, Xuekui Sun, Hua Dai, Hangchuan Zhang, and Haiqiang Liu · 2023
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Implementation of computer vision technology based on artificial intelligence for medical image analysis
Danqing Ma, Bo Dang, Shaojie Li, Hengyi Zang, and Xinqi Dong · 2023
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Application of graph convolutional network in the construction of knowledge graph for higher mathematics teaching
Ruixue Yuan, Hongming Li, Zhenyu Sun, and Huiwen Zhang · 2023
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Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig · 2023
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Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Alessandro Cappelli, Hamza Alobeidli, Baptiste Pannier, Ebtesam Almazrouei, and Julien Launay · 2023
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Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Performance of chatgpt on usmle: Potential for ai-assisted medical education using large language models
Tiffany H Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al · 2023
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Layoutllm-t2i: Eliciting layout guidance from llm for text-to-image generation
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, and Tat-Seng Chua · 2023
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More human than human: Llm-generated narratives outperform human-llm interleaved narratives
Zoie Zhao, Sophie Song, Bridget Duah, Jamie Macbeth, Scott Carter, Monica P Van, Nayeli Suseth Bravo, Matthew Klenk, Kate Sick, and Alexandre LS Filipowicz · 2023
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Synthetic data generation with large language models for text classification: Potential and limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, and Ming Yin · 2023
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Conversational agents and language models that learn from human dialogues to support design thinking
Stavros Demetriadis and Yannis Dimitriadis · 2023
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Are large language models all you need for task-oriented dialogue?
Vojtěch Hudeček and Ondřej Dušek · 2023
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Optimizing science question ranking through model and retrieval-augmented generation
Ye Zhang, Mengran Zhu, Yulu Gong, and Rui Ding · 2023
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Gpt-3 and instructgpt: Technological dystopianism, utopianism, and “contextual” perspectives in ai ethics and industry
Anastasia Chan · 2023
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Explainability for large language models: A survey
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, and Mengnan Du · 2023
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Unveiling the future navigating next-generation ai frontiers and innovations in application
Guanghui Wang, Yulu Gong, Mingwei Zhu, Jiaqiang Yuan, and Kuo Wei · 2023
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Enhancing computer digital signal processing through the utilization of rnn sequence algorithms
Hongjie Niu, Hao Li, Jiufan Wang, Xiaonan Xu, and Huan Ji · 2023
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Bubble-wave-mitigation algorithm and transformer-based neural network demodulator for water-air optical camera communications
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Binary code summarization: Benchmarking chatgpt/gpt-4 and other large language models
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Gpt-4 passes the bar exam
Daniel Martin Katz, Michael James Bommarito, Shang Gao, and Pablo Arredondo · 2023
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Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
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Knowledge graph prompting for multi-document question answering
Yu Wang, Nedim Lipka, Ryan A Rossi, Alexa Siu, Ruiyi Zhang, and Tyler Derr · 2023
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Gpt understands, too
Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, and Jie Tang · 2023
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A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, et al · 2023
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GPT is an effective tool for multilingual psychological text analysis
Steve Rathje, Dan-Mircea Mirea, Ilia Sucholutsky, Raja Marjieh, Claire Robertson, and Jay Joseph Van Bavel · 2023
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Zeroprompt: Streaming acoustic encoders are zero-shot masked lms
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Accelerating the characterization of dynamic dna origami devices with deep neural networks
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Ensemble variance reduction methods for stochastic mixed-integer programming and their application to the stochastic facility location problem
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Compromise policy for multi-stage stochastic linear programming: Variance and bias reduction
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An augmentable domain-specific models for financial analysis
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LLM Multimodal Traffic Accident Forecasting
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Prompt-augmented temporal point process for streaming event sequence
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Using llm for improving key event discovery: Temporal-guided news stream clustering with event summaries
Nishanth Nakshatri, Siyi Liu, Sihao Chen, Dan Roth, Dan Goldwasser, and Daniel Hopkins · 2023
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Health system-scale language models are all-purpose prediction engines
Lavender Yao Jiang, Xujin Chris Liu, Nima Pour Nejatian, Mustafa Nasir-Moin, Duo Wang, Anas Abidin, Kevin Eaton, Howard Antony Riina, Ilya Laufer, Paawan Punjabi, Madeline Miceli, Nora C. Kim, Cordelia Orillac, Zane Schnurman, Christopher Livia, Hannah Weiss, David Kurland, Sean Neifert, Yosef Dastagirzada, Douglas Kondziolka, Alexander T. M. Cheung, Grace Yang, Ming Cao, Mona Flores, Anthony B. Costa, Yindalon Aphinyanaphongs, Kyunghyun Cho, and Eric Karl Oermann · 2023
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Log Parsing: How Far Can ChatGPT Go?
Van-Hoang Le and Hongyu Zhang · 2023
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ADARMA auto-detection and auto-remediation of microservice anomalies by leveraging large language models
Sarda Komal, Namrud Zakeya, Rouf Raphael, Ahuja Harit, Rasolroveicy Mohammadreza, Litoiu Marin, Shwartz Larisa, and Watts Ian · 2023
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Generative AI for self-healing systems
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Automated data validation: An industrial experience report
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Making existing software quantum safe: A case study on ibm db2
Lei Zhang, Andriy Miranskyy, Walid Rjaibi, Greg Stager, Michael Gray, and John Peck · 2023
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Modeling human trust and reliance in ai-assisted decision making: a markovian approach
Zhuoyan Li, Zhuoran Lu, and Ming Yin · 2023
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Ultrahigh resolution oct markers of normal aging and early age-related macular degeneration
Siyu Chen, Omar Abu-Qamar, Deepayan Kar, Jeffrey D Messinger, Yunchan Hwang, Eric M Moult, Junhong Lin, Caroline R Baumal, Andre Witkin, Michelle C Liang, et al · 2023
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Prior: Prototype representation joint learning from medical images and reports
Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, and Xiaoying Tang · 2023
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Unveiling patterns: A study on semi-supervised classification of strip surface defects
Yongfei Liu, Haoyu Yang, and Chenwei Wu · 2023
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Edgegym: A reinforcement learning environment for constraint-aware nfv resource allocation
Jing Su, Suku Nair, and Leo Popokh · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, and Ross Girshick · 2023
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Self-supervised random mask attention gan in tackling pose-invariant face recognition
Jiashu Liao, Tanaya Guha, and Victor Sanchez · 2023
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Unveiling patterns: A study on semi-supervised classification of strip surface defects
Yongfei Liu, Haoyu Yang, and Chenwei Wu · 2023
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Are two heads better than one in ai-assisted decision making? comparing the behavior and performance of groups and individuals in human-ai collaborative recidivism risk assessment
Chun-Wei Chiang, Zhuoran Lu, Zhuoyan Li, and Ming Yin · 2023
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Application of machine learning in financial risk early warning and regional prevention and control: A systematic analysis based on shap
Yuxin Qiao, Jiajun Jin, Fanghao Ni, Jiqiang Yu, and Weisheng Chen · 2023
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M-gcn: Multi-scale graph convolutional network for 3d point cloud classification
Jing Hu, Xincheng Wang, Ziheng Liao, and Tingsong Xiao · 2023
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Strategic adversarial attacks in ai-assisted decision making to reduce human trust and reliance
Zhuoran Lu, Zhuoyan Li, Chun-Wei Chiang, and Ming Yin · 2023
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