Fetching the paper…
Reading the bibliography…
The emergence of Large Multimodal Models (LMMs) marks a significant milestone in the development of artificial intelligence.
Seismic damage evaluation of household property by using geographic information systems (gis)
Takuma Saeki, Hiroaki Tsubokawa, and Saburoh Midorikawa · 2000
Earlier work this paper cites.
The big picture-satellite remote sensing applications in rangeland assessment and crop insurance
Joseph A Atwood, Tim Watts, Kevin Price, and Jude Kastens · 2005
Earlier work this paper cites.
Risk assessment and evaluation: The implications of cracking for insurance cover and warranties
John Parvin · 2005
Earlier work this paper cites.
Using text mining and natural language processing for health care claims processing
Fred Popowich · 2005
Earlier work this paper cites.
Applying image analysis to auto insurance triage: a novel application
Ying Li and Chitra Dorai · 2007
Earlier work this paper cites.
The impact of health insurance on health
Helen Levy and David Meltzer · 2008
Earlier work this paper cites.
The underwriting process of motor vehicle insurance
A Conrad, FJ Mostert, and JM Mostert · 2009
Earlier work this paper cites.
Medical underwriting
Robert Gleeson · 2009
Earlier work this paper cites.
Agricultural insurance
Ramiro Iturrioz · 2009
Earlier work this paper cites.
Evaluation of health insurance and claim process at tertiary care hospital, mangalore: A case report
Pravitha S Anchan, Roopalekha Jathanna, and Amitha Marla · 2011
Earlier work this paper cites.
Robust video surveillance for fall detection based on human shape deformation
Caroline Rougier, Jean Meunier, Alain St-Arnaud, and Jacqueline Rousseau · 2011
Earlier work this paper cites.
A comprehensive review of earthquake-induced building damage detection with remote sensing techniques
Laigen Dong and Jie Shan · 2013
Earlier work this paper cites.
A novel algorithm for fire/smoke detection based on computer vision
Jean Paul Dukuzumuremyi, Beiji Zou, and Damien Hanyurwimfura · 2014
Earlier work this paper cites.
Driver behavior analysis for safe driving: A survey
Sinan Kaplan, Mehmet Amac Guvensan, Ali Gokhan Yavuz, and Yasin Karalurt · 2015
Earlier work this paper cites.
Fine-grained vehicle model recognition using a coarse-to-fine convolutional neural network architecture
Jie Fang, Yu Zhou, Yao Yu, and Sidan Du · 2016
Earlier work this paper cites.
Dangerous driving behavior detection using smartphone sensors
Fu Li, Hai Zhang, Huan Che, and Xiaochen Qiu · 2016
Earlier work this paper cites.
Auto insurance fraud detection using unsupervised spectral ranking for anomaly
Ke Nian, Haofan Zhang, Aditya Tayal, Thomas Coleman, and Yuying Li · 2016
Earlier work this paper cites.
Ocr as a service: an experimental evaluation of google docs ocr, tesseract, abbyy finereader, and transym
Ahmad P Tafti, Ahmadreza Baghaie, Mehdi Assefi, Hamid R Arabnia, Zeyun Yu, and Peggy Peissig · 2016
Earlier work this paper cites.
A comparison of underwriting decision making between telematics-enabled ubi and traditional auto insurance
Chiang Ku Fan and Wei-Yuan Wang · 2017
Earlier work this paper cites.
Roof damage assessment using deep learning
Mahshad Mahdavi Hezaveh, Christopher Kanan, and Carl Salvaggio · 2017
Earlier work this paper cites.
Artificial intelligence in healthcare: past, present and future
Fei Jiang, Yong Jiang, Hui Zhi, Yi Dong, Hao Li, Sufeng Ma, Yilong Wang, Qiang Dong, Haipeng Shen, and Yongjun Wang · 2017
Earlier work this paper cites.
Drivingsense: Dangerous driving behavior identification based on smartphone autocalibration
Chunmei Ma, Xili Dai, Jinqi Zhu, Nianbo Liu, Huazhi Sun, Ming Liu, et al · 2017
Earlier work this paper cites.
Building damage assessment using deep learning and ground-level image data
Karoon Rashedi Nia and Greg Mori · 2017
Earlier work this paper cites.
Deep learning based car damage classification
Kalpesh Patil, Mandar Kulkarni, Anand Sriraman, and Shirish Karande · 2017
Earlier work this paper cites.
Insurance 2030—the impact of ai on the future of insurance
Ramnath Balasubramanian, Ari Libarikian, and Doug McElhaney · 2018
Earlier work this paper cites.
Insurance literacy in australia: Not knowing the value of personal insurance
Tania Driver, Mark Brimble, Brett Freudenberg, and Katherine Helen Mary Hunt · 2018
Earlier work this paper cites.
The impact of digitalization on the insurance value chain and the insurability of risks
Martin Eling and Martin Lehmann · 2018
Earlier work this paper cites.
Household insurance expenditure as an indicator of urban resilience
Daniel Felsenstein, Masha Vernik, and Yael Israeli · 2018
Earlier work this paper cites.
Computer vision in healthcare applications, 2018
Junfeng Gao, Yong Yang, Pan Lin, Dong Sun Park, et al · 2018
Earlier work this paper cites.
Crop insurance in india: Key issues and way forward
Ashok Gulati, Prerna Terway, and Siraj Hussain · 2018
Earlier work this paper cites.
Drones for smart agriculture: A technical report
SR Kurkute, BD Deore, Payal Kasar, Megha Bhamare, Mayuri Sahane, et al · 2018
Earlier work this paper cites.
An anti-fraud system for car insurance claim based on visual evidence
Pei Li, Bingyu Shen, and Weishan Dong · 2018
Earlier work this paper cites.
Review on computer vision techniques in emergency situations
Laura Lopez-Fuentes, Joost van de Weijer, Manuel González-Hidalgo, Harald Skinnemoen, and Andrew D Bagdanov · 2018
Earlier work this paper cites.
Exploring characteristics and transformational capabilities of insurtech innovations to understand insurance value creation in a digital world
Emanuel Stoeckli, Christian Dremel, and Falk Uebernickel · 2018
Earlier work this paper cites.
Residential roof condition assessment system using deep learning
Fan Wang, John P Kerekes, Zhuoyi Xu, and Yandong Wang · 2018
Earlier work this paper cites.
Mileage extraction from odometer pictures for automating auto insurance processes
Shailesh Acharya and Glenn Fung · 2019
Earlier work this paper cites.
A survey on driving behavior analysis in usage based insurance using big data
Subramanian Arumugam and R Bhargavi · 2019
Earlier work this paper cites.
The feasibility of picture-based insurance (pbi): Smartphone pictures for affordable crop insurance
Francisco Ceballos, Berber Kramer, and Miguel Robles · 2019
Earlier work this paper cites.
A very deep transfer learning model for vehicle damage detection and localization
Najmeddine Dhieb, Hakim Ghazzai, Hichem Besbes, and Yehia Massoud · 2019
Earlier work this paper cites.
Influences of autonomous cars on the insurance market from the perspectives of insurance companies and auto insurance agencies
Chiang Ku Fan and Xian Xu · 2019
Earlier work this paper cites.
The implementation of lean management in accelerating health insurance claim process at hospitals
Elisabeth Lia Friskasari, Chriswardani Suryawati, and Henry Setyawan · 2019
Cited alongside, same era.
Risk assessment methodology in crop insurance
Boban D Gajić and Ivan D Radojković · 2019
Cited alongside, same era.
Driver dangerous state detection based on opencv & dlib libraries using mobile video processing
Igor Lashkov, Alexey Kashevnik, Nikolay Shilov, Vladimir Parfenov, and Anton Shabaev · 2019
Cited alongside, same era.
Insurance risk assessment in the face of climate change: Integrating data science and statistics
Vyacheslav Lyubchich, Nathaniel K Newlands, Azar Ghahari, Tahir Mahdi, and Yulia R Gel · 2019
Cited alongside, same era.
Remote patient monitoring: a comprehensive study
Lakmini P Malasinghe, Naeem Ramzan, and Keshav Dahal · 2019
Cited alongside, same era.
Proposal for health insurance policy when telehealth is legalized: focused on telemedicine platform, remote monitoring device, digital therapeutics, and homecare medical device
Kuyeong Han, Jiyoon Yoon, and Eunkyung Jun · 2022
Later among the works it cites.
Drought damage assessment for crop insurance based on vegetation index by unmanned aerial vehicle (uav) multispectral images of paddy fields in indonesia
Yu Iwahashi, Gunardi Sigit, Budi Utoyo, Iskandar Lubis, Ahmad Junaedi, Bambang Hendro Trisasongko, I Made Anom Sutrisna Wijaya, Masayasu Maki, Chiharu Hongo, and Koki Homma · 2022
Later among the works it cites.
Ocr based medical prescription and report analyzer
Anjani Kumar, Akash Goyal, Bipin Kumar Rai, and Shivani Sharma · 2022
Later among the works it cites.
Computer vision-based system design for classifying workplace dangerous situation
Taejun Lee, Hyeonock Song, SeungEui Yang, Mingyu Kim, and Hoekyung Jung · 2022
Later among the works it cites.
Social media study of public opinions on potential covid-19 vaccines: informing dissent, disparities, and dissemination
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
MP Rico-Fernández, Reyes Rios-Cabrera, Mario Castelán, H-I Guerrero-Reyes, and A Juarez-Maldonado · 2019
Cited alongside, same era.
A tool for climate smart crop insurance: Combining farmers’ pictures with dynamic crop modelling for accurate yield estimation prior to harvest
BK Singh, Dulal Chakraborty, Naveen Kalra, and Jaya Singh · 2019
Cited alongside, same era.
Automating car insurance claims using deep learning techniques
Ranjodh Singh, Meghna P Ayyar, Tata Venkata Sri Pavan, Sandeep Gosain, and Rajiv Ratn Shah · 2019
Cited alongside, same era.
Decision making in personal insurance: Impact of insurance literacy
Sampath Sanjeewa Weedige, Hongbing Ouyang, Yao Gao, and Yaqing Liu · 2019
Cited alongside, same era.
A smart multiple spatial and temporal resolution system to support precision agriculture from satellite images: Proof of concept on aglianico vineyard
A Brook, V De Micco, G Battipaglia, A Erbaggio, G Ludeno, I Catapano, and A Bonfante · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Insurtech development: Evidence from chinese media reports
Siqing Cao, Hanjia Lyu, and Xian Xu · 2020
Cited alongside, same era.
Hanjia Lyu, Junda Wang, Wei Wu, Viet Duong, Xiyang Zhang, Timothy D Dye, and Jiebo Luo · 2022
Later among the works it cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Later among the works it cites.
Indoor fire detection utilizing computer vision-based strategies
James Pincott, Paige Wenbin Tien, Shuangyu Wei, and John Kaiser Calautit · 2022
Later among the works it cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Later among the works it cites.
Actuarygpt: Applications of large language models to insurance and actuarial work
Caesar Balona · 2023
Later among the works it cites.
Pacman: a framework for pulse oximeter digit detection and reading in a low-resource setting
Chiraphat Boonnag, Piyalitt Ittichaiwong, Wanumaidah Saengmolee, Narongrid Seesawad, Amrest Chinkamol, Saendee Rattanasomrerk, Kanyakorn Veerakanjana, Kamonwan Thanontip, Warissara Limpornchitwilai, and Theerawit Wilaiprasitporn · 2023
Later among the works it cites.
Disc-finllm: A chinese financial large language model based on multiple experts fine-tuning
Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, et al · 2023
Later among the works it cites.
Vehicle damage analysis using computer vision: Survey
Shreyansh Doshi, Amarjit Gupta, Jay Gupta, Nidhi Hariya, and Aruna Pavate · 2023
Later among the works it cites.
Cda-net: Computer vision based automatic car damage analysis
Iyshwarya Ratthi Kannan, Yogameena Balasubramanian, Saravana Perumaal Subramanian, Menaka Kandhasamy, and Sivasankari Ramesh · 2023
Later among the works it cites.
A comprehensive study of gpt-4v’s multimodal capabilities in medical imaging
Yingshu Li, Yunyi Liu, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Leyang Cui, Zhaopeng Tu, Longyue Wang, and Luping Zhou · 2023
Later among the works it cites.
Mitigating hallucination in large multi-modal models via robust instruction tuning
Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, and Lijuan Wang · 2023
Later among the works it cites.
Gpt-4v (ision) as a social media analysis engine
Hanjia Lyu, Jinfa Huang, Daoan Zhang, Yongsheng Yu, Xinyi Mou, Jinsheng Pan, Zhengyuan Yang, Zhongyu Wei, and Jiebo Luo · 2023
Later among the works it cites.
Llm-rec: Personalized recommendation via prompting large language models
Hanjia Lyu, Song Jiang, Hanqing Zeng, Yinglong Xia, and Jiebo Luo · 2023
Later among the works it cites.
A deep-learning–based antifraud system for car-insurance claims
Luca Maiano, Antonio Montuschi, Marta Caserio, Egon Ferri, Federico Kieffer, Chiara Germanò, Lorenzo Baiocco, Lorenzo Ricciardi Celsi, Irene Amerini, and Aris Anagnostopoulos · 2023
Later among the works it cites.
State of personal insurance in the kyrgyz republic at the present stage of development in the conditions of the covid-19 pandemic
Elnura Murzalieva, Ainura Askarova, Umut Abdyldaeva, Gulchehra Abdyrakhmanova, and Atakhan Khalilov · 2023
Later among the works it cites.
Capabilities of gpt-4 on medical challenge problems
Harsha Nori, Nicholas King, Scott Mayer McKinney, Dean Carignan, and Eric Horvitz · 2023
Later among the works it cites.
Gpt-4 technical report, 2023
OpenAI · 2023
Later among the works it cites.
Exploring ocr capabilities of gpt-4v (ision): A quantitative and in-depth evaluation
Yongxin Shi, Dezhi Peng, Wenhui Liao, Zening Lin, Xinhong Chen, Chongyu Liu, Yuyi Zhang, and Lianwen Jin · 2023
Later among the works it cites.
Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, et al · 2023
Later among the works it cites.
Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection
Xing Wei, Shang Yao, Chong Zhao, Di Hu, Hui Luo, and Yang Lu · 2023
Later among the works it cites.
On the road with gpt-4v (ision): Early explorations of visual-language model on autonomous driving
Licheng Wen, Xuemeng Yang, Daocheng Fu, Xiaofeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, et al · 2023
Later among the works it cites.
Chaoyi Wu, Jiayu Lei, Qiaoyu Zheng, Weike Zhao, Weixiong Lin, Xiaoman Zhang, Xiao Zhou, Ziheng Zhao, Ya Zhang, Yanfeng Wang, et al · 2023
Later among the works it cites.
Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
Later among the works it cites.
An early evaluation of gpt-4v (ision)
Yang Wu, Shilong Wang, Hao Yang, Tian Zheng, Hongbo Zhang, Yanyan Zhao, and Bing Qin · 2023
Later among the works it cites.
Auto insurance fraud detection with multimodal learning
Jiaxi Yang, Kui Chen, Kai Ding, Chongning Na, and Meng Wang · 2023
Later among the works it cites.
The dawn of lmms: Preliminary explorations with gpt-4v (ision)
Zhengyuan Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Chung-Ching Lin, Zicheng Liu, and Lijuan Wang · 2023
Later among the works it cites.
Evaluating the impact of ai on insurance: The four emerging ai-and data-driven business models
Alex Zarifis, Christopher P Holland, and Alistair Milne · 2023
Later among the works it cites.
Gpt-4v (ision) as a generalist evaluator for vision-language tasks
Xinlu Zhang, Yujie Lu, Weizhi Wang, An Yan, Jun Yan, Lianke Qin, Heng Wang, Xifeng Yan, William Yang Wang, and Linda Ruth Petzold · 2023
Later among the works it cites.
A survey on multimodal large language models for autonomous driving
Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, et al · 2024
Closest in time.
In-context learning enables multimodal large language models to classify cancer pathology images
Dyke Ferber, Georg Wölflein, Isabella C Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar SM El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, et al · 2024
Closest in time.
A survey on hallucination in large vision-language models
Hanchao Liu, Wenyuan Xue, Yifei Chen, Dapeng Chen, Xiutian Zhao, Ke Wang, Liping Hou, Rongjun Li, and Wei Peng · 2024
Closest in time.
Phd: A prompted visual hallucination evaluation dataset
Jiazhen Liu, Yuhan Fu, Ruobing Xie, Runquan Xie, Xingwu Sun, Fengzong Lian, Zhanhui Kang, and Xirong Li · 2024
Closest in time.
Human vs. lmms: Exploring the discrepancy in emoji interpretation and usage in digital communication
Hanjia Lyu, Weihong Qi, Zhongyu Wei, and Jiebo Luo · 2024
Closest in time.
Cocot: Contrastive chain-of-thought prompting for large multimodal models with multiple image inputs
Daoan Zhang, Junming Yang, Hanjia Lyu, Zijian Jin, Yuan Yao, Mingkai Chen, and Jiebo Luo · 2024
Closest in time.
Revolutionizing finance with llms: An overview of applications and insights
Huaqin Zhao, Zhengliang Liu, Zihao Wu, Yiwei Li, Tianze Yang, Peng Shu, Shaochen Xu, Haixing Dai, Lin Zhao, Gengchen Mai, et al · 2024
Closest in time.
Exploring boundary of gpt-4v on marine analysis: A preliminary case study
Ziqiang Zheng, Yiwei Chen, Jipeng Zhang, Tuan-Anh Vu, Huimin Zeng, Yue Him Wong Tim, and Sai-Kit Yeung · 2024
Closest in time.