Fetching the paper…
Reading the bibliography…
Large language models (LLMs) have revolutionized scientific research with their exceptional capabilities and transformed various fields.
Unsupervised cross-lingual representation learning at scale
A Conneau. 2019 · 1911
Earlier work this paper cites.
Coordination in rapidly evolving disaster response systems: The role of information
Louise K Comfort, Kilkon Ko, and Adam Zagorecki. 2004 · 2004
Earlier work this paper cites.
Language models are few-shot learners
Tom B Brown. 2020 · 2005
Earlier work this paper cites.
The concept of resilience revisited
Siambabala Bernard Manyena. 2006 · 2006
Earlier work this paper cites.
“did you feel it?” intensity data: A surprisingly good measure of earthquake ground motion
Gail M Atkinson and David J Wald. 2007 · 2007
Earlier work this paper cites.
Challenges and obstacles in sharing and coordinating information during multi-agency disaster response: Propositions from field exercises
Nitesh Bharosa, JinKyu Lee, and Marijn Janssen. 2010 · 2010
Earlier work this paper cites.
Overview of the 2010 haiti earthquake
Reginald DesRoches, Mary Comerio, Marc Eberhard, Walter Mooney, and Glenn J Rix. 2011 · 2010
Earlier work this paper cites.
Social media and disasters: Current uses, future options, and policy considerations
Bruce R Lindsay. 2011 · 2011
Earlier work this paper cites.
Practical extraction of disaster-relevant information from social media
Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, and Patrick Meier. 2013 · 2013
Earlier work this paper cites.
Us billion-dollar weather and climate disasters: data sources, trends, accuracy and biases
Adam B Smith and Richard W Katz. 2013 · 2013
Earlier work this paper cites.
Aidr: Artificial intelligence for disaster response
Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, and Sarah Vieweg. 2014 · 2014
Earlier work this paper cites.
Crisislex: A lexicon for collecting and filtering microblogged communications in crises
Alexandra Olteanu, Carlos Castillo, Fernando Diaz, and Sarah Vieweg. 2014 · 2014
Earlier work this paper cites.
Processing social media messages in mass emergency: A survey
Muhammad Imran, Carlos Castillo, Fernando Diaz, and Sarah Vieweg. 2015 · 2015
Earlier work this paper cites.
What to expect when the unexpected happens: Social media communications across crises
Alexandra Olteanu, Sarah Vieweg, and Carlos Castillo. 2015 · 2015
Earlier work this paper cites.
Dtn mapex: Disaster area mapping through distributed computing over a delay tolerant network
Edgar Marko Trono, Yutaka Arakawa, Morihiko Tamai, and Keiichi Yasumoto. 2015 · 2015
Earlier work this paper cites.
Governing emergencies: The politics of delay and the logic of response
Ben Anderson. 2016 · 2016
Earlier work this paper cites.
Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages
Muhammad Imran, Prasenjit Mitra, and Carlos Castillo. 2016 · 2016
Earlier work this paper cites.
Crisismmd: Multimodal twitter datasets from natural disasters
Firoj Alam, Ferda Ofli, and Muhammad Imran. 2018 · 2018
Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin. 2018 · 2018
Earlier work this paper cites.
Building back better: achieving resilience through stronger, faster, and more inclusive post-disaster reconstruction
Stéphane Hallegatte, Jun Rentschler, and Brian Walsh. 2018 · 2018
Earlier work this paper cites.
Developing and evaluating annotation procedures for twitter data during hazard events
Kevin Stowe, Martha Palmer, Jennings Anderson, Marina Kogan, Leysia Palen, Kenneth M Anderson, Rebecca Morss, Julie Demuth, and Heather Lazrus. 2018 · 2018
Earlier work this paper cites.
Big data in natural disaster management: a review
Manzhu Yu, Chaowei Yang, and Yun Li. 2018 · 2018
Earlier work this paper cites.
A global database of historic and real-time flood events based on social media
Jens A de Bruijn, Hans de Moel, Brenden Jongman, Marleen C de Ruiter, Jurjen Wagemaker, and Jeroen CJH Aerts. 2019 · 2019
Earlier work this paper cites.
Trec incident streams: Finding actionable information on social media
Richard McCreadie, Cody Buntain, and Ian Soboroff. 2019 · 2019
Earlier work this paper cites.
Natural disasters detection in social media and satellite imagery: a survey
Naina Said, Kashif Ahmad, Michael Riegler, Konstantin Pogorelov, Laiq Hassan, Nasir Ahmad, and Nicola Conci. 2019 · 2019
Earlier work this paper cites.
Multimodal categorization of crisis events in social media
Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel Tetreault, and Alejandro Jaimes. 2020 · 2020
Earlier work this paper cites.
Causes of the widespread 2019–2020 australian bushfire season
Proloy Deb, Hamid Moradkhani, Peyman Abbaszadeh, Anthony S Kiem, Johanna Engström, David Keellings, and Ashish Sharma. 2020 · 2020
Earlier work this paper cites.
Applications of artificial intelligence for disaster management
Wenjuan Sun, Paolo Bocchini, and Brian D Davison. 2020 · 2020
Earlier work this paper cites.
Detecting natural disasters, damage, and incidents in the wild
Ethan Weber, Nuria Marzo, Dim P Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, and Antonio Torralba. 2020 · 2020
Earlier work this paper cites.
Automatic identification of eyewitness messages on twitter during disasters
Kiran Zahra, Muhammad Imran, and Frank O Ostermann. 2020 · 2020
Earlier work this paper cites.
Natural disasters—origins, impacts, management
Muhammad T Chaudhary and Awais Piracha. 2021 · 2021
Earlier work this paper cites.
Social media data-based typhoon disaster assessment
Zi Chen and Samsung Lim. 2021 · 2021
Earlier work this paper cites.
Combining self-training with deep learning for disaster tweet classification
Hongmin Li, Doina Caragea, and Cornelia Caragea. 2021 · 2021
Earlier work this paper cites.
Crisisbert: a robust transformer for crisis classification and contextual crisis embedding
Junhua Liu, Trisha Singhal, Lucienne TM Blessing, Kristin L Wood, and Kwan Hui Lim. 2021 · 2021
Earlier work this paper cites.
Multi-modal classification of twitter data during disasters for humanitarian response
Sreenivasulu Madichetty, Sridevi Muthukumarasamy, and P Jayadev. 2021 · 2021
Earlier work this paper cites.
A neural-based approach for detecting the situational information from twitter during disaster
Sreenivasulu Madichetty and M Sridevi. 2021 · 2021
Earlier work this paper cites.
Sequence classification of tweets with transfer learning via bert in the field of disaster management
Sumera Naaz, Zain Ul Abedin, and Danish Raza Rizvi. 2021 · 2021
Earlier work this paper cites.
Disaster tweets classification in disaster response using bidirectional encoder representations from transformer (bert)
AK Ningsih and AI Hadiana. 2021 · 2021
Earlier work this paper cites.
Floodnet: A high resolution aerial imagery dataset for post flood scene understanding
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, and Robin Roberson Murphy. 2021 · 2021
Earlier work this paper cites.
Categorizing disaster tweets into actionable classes for disaster managers: An empirical analysis on cyclone data
Sandeep Sharma, Saurabh Basu, Niraj Kant Kushwaha, Anugandula Naveen Kumar, and Pankai Kumar Dalela. 2021 · 2021
Earlier work this paper cites.
A sentiment-aware contextual model for real-time disaster prediction using twitter data
Guizhe Song and Degen Huang. 2021 · 2021
Earlier work this paper cites.
Transformer-based multi-task learning for disaster tweet categorisation
Congcong Wang, Paul Nulty, and David Lillis. 2021 · 2021
Earlier work this paper cites.
I-aid: identifying actionable information from disaster-related tweets
Hamada M Zahera, Rricha Jalota, Mohamed Ahmed Sherif, and Axel-Cyrille Ngonga Ngomo. 2021 · 2021
Earlier work this paper cites.
Extracting the location of flooding events in urban systems and analyzing the semantic risk using social sensing data
Yan Zhang, Zeqiang Chen, Xiang Zheng, Nengcheng Chen, and Yongqiang Wang. 2021 · 2021
Earlier work this paper cites.
Disastermm: Multimedia analysis of disaster-related social media data task at mediaeval 2022
Stelios Andreadis, Aristeidis Bozas, Ilias Gialampoukidis, Anastasia Moumtzidou, Roberto Fiorin, Francesca Lombardo, Thanassis Mavropoulos, Daniele Norbiato, Stefanos Vrochidis, Michele Ferri, et al. 2022 · 2022
Earlier work this paper cites.
Adapting transformers for detecting emergency events on social media
Emanuela Boros, Gaël Lejeune, Mickaël Coustaty, and Antoine Doucet. 2022 · 2022
Earlier work this paper cites.
Identifying the label of crisis related tweets using deep neural networks for aiding emergency planning
S Chandrakala and S Albert Antony Raj. 2022 · 2022
Earlier work this paper cites.
Twitter data analysis using distill bert and graph based convolution neural network during disaster
Anusha Danday and T Satyanarayana Murthy. 2022 · 2022
Earlier work this paper cites.
Gnom: graph neural network enhanced language models for disaster related multilingual text classification
Samujjwal Ghosh, Subhadeep Maji, and Maunendra Sankar Desarkar. 2022 · 2022
Earlier work this paper cites.
Near-real-time seismic human fatality information retrieval from social media with few-shot large-language models
James Hou and Susu Xu. 2022 · 2022
Earlier work this paper cites.
Early detection of emergency events from social media: A new text clustering approach
Lida Huang, Panpan Shi, Haichao Zhu, and Tao Chen. 2022 · 2022
Earlier work this paper cites.
Deep learning-based assessment of flood severity using social media streams
A Krishna Kanth, P Chitra, and G Gayathri Sowmya. 2022 · 2022
Earlier work this paper cites.
Camm: cross-attention multimodal classification of disaster-related tweets
Anuradha Khattar and SMK Quadri. 2022 · 2022
Earlier work this paper cites.
Multimodal combination of text and image tweets for disaster response assessment
Saideshwar Kota, Smitha Haridasan, Ajita Rattani, Aaron Bowen, Glyn Rimmington, and Atri Dutta. 2022 · 2022
Earlier work this paper cites.
Bic: Twitter bot detection with text-graph interaction and semantic consistency
Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng, Zilong Chen, Jundong Li, Qinghua Zheng, and Minnan Luo. 2022 · 2022
Earlier work this paper cites.
Mining and analyzing the evolution of public opinion in extreme disaster events from social media: A case study of the 2022 yingde flood in china
Rong Li, Lei Zhao, ZhiQiang Xie, Chunhou Ji, Jiamin Mo, Zhibing Yang, and Yuyun Feng. 2025 · 2022
Earlier work this paper cites.
Chinese toponym recognition with variant neural structures from social media messages based on bert methods
Kai Ma, YongJian Tan, Zhong Xie, Qinjun Qiu, and Siqiong Chen. 2022 · 2022
Earlier work this paper cites.
Towards an interpretable approach to classify and summarize crisis events from microblogs
Thi Huyen Nguyen and Koustav Rudra. 2022b · 2022
Cited alongside, same era.
Crisicsum: Interpretable classification and summarization platform for crisis events from microblogs
Thi Huyen Nguyen, Miroslav Shaltev, and Koustav Rudra. 2022 · 2022
Cited alongside, same era.
Adiba Mahbub Proma, Md Saiful Islam, Stela Ciko, Raiyan Abdul Baten, and Ehsan Hoque. 2022 · 2022
Cited alongside, same era.
Flood severity assessment using distilbert and ner
SN Gokul Raj, P Chitra, AK Silesh, and R Lingeshwaran. 2023 · 2022
Cited alongside, same era.
Twitter-based disaster response framework using electra transformer
Pardeep Singh, Monika, Bhawna Shishodia, and Satish Chand. 2022 · 2022
Cited alongside, same era.
Decision support system for forest fire management using ontology with big data and llms
Ritesh Chandra, Shashi Shekhar Kumar, Rushil Patra, and Sonali Agarwal. 2024 · 2024
Later among the works it cites.
Enhancing emergency decision-making with knowledge graphs and large language models
Minze Chen, Zhenxiang Tao, Weitong Tang, Tingxin Qin, Rui Yang, and Chunli Zhu. 2024 · 2024
Later among the works it cites.
Optimizing ai-driven disaster management through llms
Wei Chen and Jiing Fang. 2024 · 2024
Later among the works it cites.
Infrastructure ombudsman: Mining future failure concerns from structural disaster response
Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, and Ashiqur R KhudaBukhsh. 2024 · 2024
Later among the works it cites.
Twitter disaster prediction using different deep learning models
Premkumar Duraisamy and Yuvaraj Natarajan. 2024 · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
When a disaster happens, we are ready: Location mention recognition from crisis tweets
Reem Suwaileh, Tamer Elsayed, Muhammad Imran, and Hassan Sajjad. 2022 · 2022
Cited alongside, same era.
Plug-and-play vqa: Zero-shot vqa by conjoining large pretrained models with zero training
Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, and Steven CH Hoi. 2022 · 2022
Cited alongside, same era.
Cross-lingual query-based summarization of crisis-related social media: An abstractive approach using transformers
Fedor Vitiugin and Carlos Castillo. 2022 · 2022
Cited alongside, same era.
Topic2labels: A framework to annotate and classify the social media data through lda topics and deep learning models for crisis response
Junaid Abdul Wahid, Lei Shi, Yufei Gao, Bei Yang, Lin Wei, Yongcai Tao, Shabir Hussain, Muhammad Ayoub, and Imam Yagoub. 2022 · 2022
Cited alongside, same era.
Bert-based semi-supervised domain adaptation for disastrous classification
Jing Wang and Kexin Wang. 2022 · 2022
Cited alongside, same era.
Methods of calculating usefulness ratings of behavioral facilitation tweets in disaster situations
Futo Yamamoto, Tadahiko Kumamoto, Yu Suzuki, and Akiyo Nadamoto. 2022 · 2022
Cited alongside, same era.
Smart flood resilience: harnessing community-scale big data for predictive flood risk monitoring, rapid impact assessment, and situational awareness
Faxi Yuan, Chao Fan, Hamed Farahmand, Natalie Coleman, Amir Esmalian, Cheng-Chun Lee, Flavia I Patrascu, Cheng Zhang, Shangjia Dong, and Ali Mostafavi. 2022 · 2022
Cited alongside, same era.
Effectiveness of generative ai for post-earthquake damage assessment
João MC Estêvão. 2024 · 2024
Later among the works it cites.
Improving social media geolocation for disaster response by using text from images and chatgpt
Hafiz Budi Firmansyah, Valerio Lorini, Mehmet Oguz Mulayim, Jorge Gomes, and Jose Luis Fernandez-Marquez. 2024 · 2024
Later among the works it cites.
Detecting information from twitter on landslide hazards in italy using deep learning models
Rachele Franceschini, Ascanio Rosi, Filippo Catani, and Nicola Casagli. 2024 · 2024
Later among the works it cites.
Extracting spatiotemporal flood information from news texts using machine learning for a national dataset in china
Shengnan Fu, David M Schultz, Heng Lyu, Zhonghua Zheng, and Chi Zhang. 2024 · 2024
Later among the works it cites.
Ikdsumm: Incorporating key-phrases into bert for extractive disaster tweet summarization
Piyush Kumar Garg, Roshni Chakraborty, Srishti Gupta, and Sourav Kumar Dandapat. 2024 · 2024
Later among the works it cites.
Relevance classification of flood-related tweets using xlnet deep learning model
Aneela Habib, Yasir Saleem Afridi, Madiha Sher, and Tiham Khan. 2024 · 2024
Later among the works it cites.
Haley Hostetter, MZ Naser, Xinyan Huang, and John Gales. 2024 · 2024
Later among the works it cites.
Flood simulation: Integrating uas imagery and ai-generated data with diffusion model
Xiyang Hu and Maryam Rahnemoonfar. 2024 · 2024
Later among the works it cites.
Classification of humanitarian crisis response through unimodal multi-class textual classification
Tarun Jain, Dinesh Gopalani, and Yogesh Kumar Meena. 2024 · 2024
Later among the works it cites.
Multimodal fusion of heterogeneous representations for anomaly classification in satellite imagery
Youngsun Jang, Maryam Moshrefizadeh, Abir Mohammad Hadi, Kwanghee Won, and John Kim. 2024 · 2024
Later among the works it cites.
From facebook posts to news headlines: using transformer models to predict post-disaster impact on mass media content
Samiha Maisha Jeba, Tanjim Taharat Aurpa, and Md Rawnak Saif Adib. 2024 · 2024
Later among the works it cites.
The applications of large language models in emergency management
Yue Jiang. 2024 · 2024
Later among the works it cites.
Robust disaster assessment from aerial imagery using text-to-image synthetic data
Tarun Kalluri, Jihyeon Lee, Kihyuk Sohn, Sahil Singla, Manmohan Chandraker, Joseph Xu, and Jeremiah Liu. 2024 · 2024
Later among the works it cites.
Converging human intelligence with ai systems to advance flood evacuation decision making
Rishav Karanjit, Vidya Samadi, Amanda Hughes, Pamela Murray-Tuite, and Keri Stephens. 2024 · 2024
Later among the works it cites.
Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets
Rani Koshy and Sivasankar Elango. 2024 · 2024
Later among the works it cites.
Floodlense: A framework for chatgpt-based real-time flood detection
Pranath Reddy Kumbam and Kshitij Maruti Vejre. 2024 · 2024
Later among the works it cites.
Leveraging large language models (llms) for enhanced disaster recovery in aws
Prashant Lakhera. 2024 · 2024
Later among the works it cites.
Typhoon-dig: Distinguishing, identifying and geo-tagging typhoon-related social media posts in taiwan
Ben-Xiang Li and Chih-Yuan Chen. 2024 · 2024
Later among the works it cites.
Rescueadi: Adaptive disaster interpretation in remote sensing images with autonomous agents
Zhuoran Liu, Danpei Zhao, and Bo Yuan. 2024 · 2024
Later among the works it cites.
Text-to-3d cinemagraphs for generation of visual content in disaster alerts: A generative ai framework with llms and diffusion models
Won Lubin, Choi Min-ji, Choi Ji-hoon, and Bae Byeong-jun. 2024 · 2024
Later among the works it cites.
Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned bert model
Muhammad Shahid Iqbal Malik, Muhammad Zeeshan Younas, Mona Mamdouh Jamjoom, and Dmitry I Ignatov. 2024 · 2024
Later among the works it cites.
Rafaela Martelo and Ruo-Qian Wang. 2024 · 2024
Later among the works it cites.
Zero-shot classification of crisis tweets using instruction-finetuned large language models
Emma McDaniel, Samuel Scheele, and Jeff Liu. 2024 · 2024
Later among the works it cites.
Harnessing social media for natural disaster detection
Riadh Meghatria, Safa Ferrah, and Hadjer Belhenniche. 2024 · 2024
Later among the works it cites.
Ayaz Mehmood, Muhammad Tayyab Zamir, Muhammad Asif Ayub, Nasir Ahmad, and Kashif Ahmad. 2024 · 2024
Later among the works it cites.
S Mostafa Mousavi, Marc Stogaitis, Tajinder Gadh, Richard M Allen, Alexei Barski, Robert Bosch, Patrick Robertson, Nivetha Thiruverahan, and Youngmin Cho. 2024 · 2024
Later among the works it cites.
Ai-powered crisis response: Streamlining emergency management with llms
Hakan T Otal and M Abdullah Canbaz. 2024 · 2024
Later among the works it cites.
Llm-assisted crisis management: Building advanced llm platforms for effective emergency response and public collaboration
Hakan T Otal, Eric Stern, and M Abdullah Canbaz. 2024 · 2024
Later among the works it cites.
Dimitrios Panagopoulos, Adolfo Perrusquia, and Weisi Guo. 2024 · 2024
Later among the works it cites.
Analyzing the computational efficiency of llm models for nlp tweet classification during emergency-crisis
Sabarish Raja Ramesh Raja, MS Antony Vigil, Muthukumar Pattaiah, and B Sudarson. 2024 · 2024
Later among the works it cites.
Disasterqa: A benchmark for assessing the performance of llms in disaster response
Rajat Rawat. 2024 · 2024
Later among the works it cites.
Deltran15: A deep lightweight transformer-based framework for multiclass classification of disaster posts on x
Saima Saleem, Nabeela Hasan, Anuradha Khattar, Priti Rai Jain, Tarun Kumar Gupta, and Monica Mehrotra. 2024 · 2024
Later among the works it cites.
Disaster assessment from social media using multimodal deep learning
Nisha P Shetty, Yash Bijalwan, Pranav Chaudhari, Jayashree Shetty, and Balachandra Muniyal. 2024 · 2024
Later among the works it cites.
Social media text analysis for disaster management using distilbert model
Sherin R Varghese, Sujitha Juliet, and NS Athish. 2024 · 2024
Later among the works it cites.
Multilingual serviceability model for detecting and ranking help requests on social media during disasters
Fedor Vitiugin and Hemant Purohit. 2024 · 2024
Later among the works it cites.
Remflow: Rag-enhanced multi-factor rainfall flooding warning in sponge airports via large language model
Gelan Wang, Yu Liu, Shukai Liu, Ling Zhang, and Liqun Yang. 2024 · 2024
Later among the works it cites.
Small business continuity and disaster recovery plans using ai and chatgpt
Gwendolyn White and Sadie Liptak. 2024 · 2024
Later among the works it cites.
Ff-bert: A bert-based ensemble for automated classification of web-based text on flash flood events
Rohan Singh Wilkho, Shi Chang, and Nasir G Gharaibeh. 2024 · 2024
Later among the works it cites.
Intelligent monitoring applications of landslide disaster knowledge graphs based on chatglm2
Zhengrong Wu, Haibo Yang, Yingchun Cai, Bo Yu, Chuangheng Liang, Zheng Duan, and Qiuhua Liang. 2024 · 2024
Later among the works it cites.
A question and answering service of typhoon disasters based on the t5 large language model
Yongqi Xia, Yi Huang, Qianqian Qiu, Xueying Zhang, Lizhi Miao, and Yixiang Chen. 2024 · 2024
Later among the works it cites.
Wildfiregpt: Tailored large language model for wildfire analysis
Yangxinyu Xie, Bowen Jiang, Tanwi Mallick, Joshua David Bergerson, John K Hutchison, Duane R Verner, Jordan Branham, M Ross Alexander, Robert B Ross, Yan Feng, et al. 2024 · 2024
Later among the works it cites.
Detection and categorization of needs during crises based on twitter data
Pingjing Yang, Ly Dinh, Alex Stratton, and Jana Diesner. 2024 · 2024
Later among the works it cites.
Kai Yin, Chengkai Liu, Ali Mostafavi, and Xia Hu. 2024 · 2024
Later among the works it cites.
Multimodal social sensing for the spatio-temporal evolution and assessment of nature disasters
Chen Yu and Zhiguo Wang. 2024 · 2024
Later among the works it cites.
Information retrieval and classification of real-time multi-source hurricane evacuation notices
Tingting Zhao, Shubo Tian, Jordan Daly, Melissa Geiger, Minna Jia, and Jinfeng Zhang. 2024 · 2024
Later among the works it cites.
A flood knowledge-constrained large language model interactable with gis: enhancing public risk perception of floods
Jun Zhu, Pei Dang, Yungang Cao, Jianbo Lai, Yukun Guo, Ping Wang, and Weilian Li. 2024 · 2024
Later among the works it cites.
Monitoring critical infrastructure facilities during disasters using large language models
Abdul Wahab Ziaullah, Ferda Ofli, and Muhammad Imran. 2024 · 2024
Later among the works it cites.
Multi-class multi-label classification of social media texts for typhoon damage assessment: a two-stage model fully integrating the outputs of the hidden layers of bert
Liwei Zou, Zhi He, Chengle Zhou, and Wenbing Zhu. 2024 · 2024
Later among the works it cites.
A social context-aware graph-based multimodal attentive learning framework for disaster content classification during emergencies
Shahid Shafi Dar, Mohammad Zia Ur Rehman, Karan Bais, Mohammed Abdul Haseeb, and Nagendra Kumar. 2025 · 2025
Closest in time.
St-fit: Inductive spatial-temporal forecasting with limited training data
Zhenyu Lei, Yushun Dong, Jundong Li, and Chen Chen. 2025 · 2025
Closest in time.
Are large language models good in-context learners for financial sentiment analysis?
Xinyu Wei and Luojia Liu. 2025 · 2025
Closest in time.