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CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
v1v2v3 (latest)

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

16 June 2024
Kai Yin
Chengkai Liu
Ali Mostafavi
Helen Zhou
Xia Hu
ArXiv (abs)PDFHTML

Papers citing "CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics"

33 / 33 papers shown
Title
Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
Disaster Management in the Era of Agentic AI Systems: A Vision for Collective Human-Machine Intelligence for Augmented Resilience
Bo Li
Junwei Ma
Kai Yin
Yiming Xiao
Chia-Wei Hsu
Ali Mostafavi
140
1
0
16 Oct 2025
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
DMRetriever: A Family of Models for Improved Text Retrieval in Disaster Management
Kai Yin
Xiangjue Dong
Chengkai Liu
Allen Lin
Lingfeng Shi
Ali Mostafavi
James Caverlee
VLM
104
0
0
16 Oct 2025
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Learning to vary: Teaching LMs to reproduce human linguistic variability in next-word prediction
Tobias Groot
Salo Lacunes
Evgenia Ilia
142
0
0
22 Sep 2025
From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing
Chengyan Wu
Y. Cai
Yufei Cheng
Yun Xue
100
0
0
09 Sep 2025
A Dynamic Fusion Model for Consistent Crisis Response
A Dynamic Fusion Model for Consistent Crisis Response
Xiaoying Song
Anirban Saha Anik
Eduardo Blanco
Vanessa Frias-Martinez
Lingzi Hong
HILM
220
1
0
01 Sep 2025
How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting
How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting
Aman Gupta
Yingying Zhuang
Zhou Yu
Ziji Zhang
Anurag Beniwal
94
0
0
21 Jul 2025
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
Zihui Ma
Jinkui Chi
Juan Li
Qingfeng Lan
Jingxiao Liu
Qingyuan Feng
Yuki Miura
118
0
0
03 Jun 2025
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management
Kai Yin
Xiangjue Dong
Chengkai Liu
Lipai Huang
Yiming Xiao
Zhewei Liu
Ali Mostafavi
James Caverlee
272
2
0
20 May 2025
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
ClimaEmpact: Domain-Aligned Small Language Models and Datasets for Extreme Weather Analytics
Deeksha Varshney
Keane Ong
Rui Mao
Xiaoshi Zhong
G. Mengaldo
170
1
0
27 Apr 2025
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System
Ahsan Bilal
Beiyu Lin
OffRLRALMAI4MH
334
1
0
02 Apr 2025
A Survey of Scaling in Large Language Model Reasoning
A Survey of Scaling in Large Language Model Reasoning
Zihan Chen
Song Wang
Zhen Tan
Xingbo Fu
Zhenyu Lei
Peng Wang
Huan Liu
Cong Shen
Jundong Li
LRM
441
9
0
02 Apr 2025
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ruxiao Chen
Chenguang Wang
Yuran Sun
Xilei Zhao
Susu Xu
353
9
0
24 Feb 2025
Harnessing Large Language Models for Disaster Management: A Survey
Harnessing Large Language Models for Disaster Management: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Zhenyu Lei
Yushun Dong
Weiyu Li
Rong Ding
Qi Wang
Jundong Li
AI4CE
237
17
0
12 Jan 2025
DisasterQA: A Benchmark for Assessing the performance of LLMs in
  Disaster Response
DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response
Rajat Rawat
112
4
0
09 Oct 2024
Can LLMs Understand Social Norms in Autonomous Driving Games?
Can LLMs Understand Social Norms in Autonomous Driving Games?
Boxuan Wang
Haonan Duan
Yanhao Feng
Xu Chen
Yongjie Fu
Chengbo Zang
Xuan Di
228
5
0
22 Aug 2024
Rethinking Urban Flood Risk Assessment By Adapting Health Domain
  Perspective
Rethinking Urban Flood Risk Assessment By Adapting Health Domain Perspective
Zhewei Liu
Kai Yin
Ali Mostafavi
AI4CE
96
1
0
06 Mar 2024
Exploring Large Language Models for Human Mobility Prediction under
  Public Events
Exploring Large Language Models for Human Mobility Prediction under Public EventsComputers, Environment and Urban Systems (CEUS), 2023
Yuebing Liang
Yichao Liu
Xiaohan Wang
Zhan Zhao
302
68
0
29 Nov 2023
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
Deep Learning-driven Community Resilience Rating based on Intertwined Socio-Technical Systems Features
Kai Yin
Bo Li
Ali Mostafavi
94
5
0
03 Nov 2023
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban Areas
Unsupervised Graph Deep Learning Reveals Emergent Flood Risk Profile of Urban AreasSocial Science Research Network (SSRN), 2023
Kai Yin
Junwei Ma
Ali Mostafavi
AI4CE
205
13
0
26 Sep 2023
Instruction Tuning for Large Language Models: A Survey
Instruction Tuning for Large Language Models: A Survey
Shengyu Zhang
Linfeng Dong
Xiaoya Li
Sen Zhang
Xiaofei Sun
...
Jiwei Li
Runyi Hu
Tianwei Zhang
Leilei Gan
Guoyin Wang
LM&MA
718
749
0
21 Aug 2023
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuningIEEE Transactions on Audio, Speech, and Language Processing (TASLP), 2023
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLLKELM
625
479
0
17 Aug 2023
Text Classification via Large Language Models
Text Classification via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xiaofei Sun
Xiaoya Li
Jiwei Li
Leilei Gan
Shangwei Guo
Tianwei Zhang
Guoyin Wang
RALMLRM
201
207
0
15 May 2023
Transcending Scaling Laws with 0.1% Extra Compute
Transcending Scaling Laws with 0.1% Extra ComputeConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Yi Tay
Jason W. Wei
Hyung Won Chung
Vinh Q. Tran
David R. So
...
Donald Metzler
Slav Petrov
N. Houlsby
Quoc V. Le
Mostafa Dehghani
LRM
237
73
0
20 Oct 2022
Examining Scaling and Transfer of Language Model Architectures for
  Machine Translation
Examining Scaling and Transfer of Language Model Architectures for Machine TranslationInternational Conference on Machine Learning (ICML), 2022
Biao Zhang
Behrooz Ghorbani
Ankur Bapna
Yong Cheng
Xavier Garcia
Jonathan Shen
Orhan Firat
197
28
0
01 Feb 2022
Enhancing Label Correlation Feedback in Multi-Label Text Classification
  via Multi-Task Learning
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task LearningFindings (Findings), 2021
Ximing Zhang
Qian-Wen Zhang
Zhao Yan
Ruifang Liu
Yunbo Cao
239
50
0
06 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
1.3K
4,841
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xiang Lisa Li
Abigail Z. Jacobs
633
5,102
0
01 Jan 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.9K
51,164
0
28 May 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
1.6K
6,455
0
23 Jan 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
841
2,343
0
17 Sep 2019
Unified Language Model Pre-training for Natural Language Understanding
  and Generation
Unified Language Model Pre-training for Natural Language Understanding and GenerationNeural Information Processing Systems (NeurIPS), 2019
Li Dong
Nan Yang
Wenhui Wang
Furu Wei
Xiaodong Liu
Yu Wang
Jianfeng Gao
M. Zhou
H. Hon
ELMAI4CE
529
1,628
0
08 May 2019
Parameter-Efficient Transfer Learning for NLP
Parameter-Efficient Transfer Learning for NLPInternational Conference on Machine Learning (ICML), 2019
N. Houlsby
A. Giurgiu
Stanislaw Jastrzebski
Bruna Morrone
Quentin de Laroussilhe
Andrea Gesmundo
Mona Attariyan
Sylvain Gelly
569
5,518
0
02 Feb 2019
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
2.4K
157,684
0
12 Jun 2017
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