{"total":43,"rows":[{"id":"2207.13332","title":"RealTime QA: What's the Answer Right Now?","created":"2022-07-27","cited_by_count":244,"area":null},{"id":"2104.03090","title":"HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks","created":"2021-04-07","cited_by_count":39,"area":null},{"id":"2104.06952","title":"The Surprising Performance of Simple Baselines for Misinformation Detection","created":"2021-04-14","cited_by_count":28,"area":null},{"id":"2108.12828","title":"MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification","created":"2021-08-29","cited_by_count":20,"area":null},{"id":"2501.06932","title":"Harnessing Large Language Models for Disaster Management: A Survey","created":"2025-01-12","cited_by_count":20,"area":null},{"id":"2105.12980","title":"Investigating label suggestions for opinion mining in German Covid-19 social media","created":"2021-05-27","cited_by_count":15,"area":null},{"id":"2210.04573","title":"HumSet: Dataset of Multilingual Information Extraction and Classification for Humanitarian Crisis Response","created":"2022-10-10","cited_by_count":7,"area":null},{"id":"2210.14190","title":"CrisisLTLSum: A Benchmark for Local Crisis Event Timeline Extraction and Summarization","created":"2022-10-25","cited_by_count":7,"area":null},{"id":"2309.05494","title":"CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts","created":"2023-09-11","cited_by_count":7,"area":null},{"id":"2412.10413","title":"Evaluating Robustness of LLMs on Crisis-Related Microblogs across Events, Information Types, and Linguistic Features","created":"2024-12-08","cited_by_count":7,"area":null},{"id":"2211.00543","title":"Geo-Information Harvesting from Social Media Data","created":"2022-11-01","cited_by_count":5,"area":null},{"id":"2308.12885","title":"Collect, Measure, Repeat: Reliability Factors for Responsible AI Data Collection","created":"2023-08-22","cited_by_count":5,"area":null},{"id":"2209.02139","title":"Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios","created":"2022-09-05","cited_by_count":3,"area":null},{"id":"2305.11536","title":"PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2305.11592","title":"IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization","created":"2023-05-19","cited_by_count":3,"area":null},{"id":"2312.03755","title":"Near-real-time Earthquake-induced Fatality Estimation using Crowdsourced Data and Large-Language Models","created":"2023-12-04","cited_by_count":3,"area":null},{"id":"2101.00480","title":"A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma","created":"2021-01-02","cited_by_count":2,"area":null},{"id":"2104.05459","title":"Developing Annotated Resources for Internal Displacement Monitoring","created":"2021-04-12","cited_by_count":2,"area":null},{"id":"2207.04947","title":"TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision","created":"2022-07-11","cited_by_count":2,"area":null},{"id":"2305.16756","title":"Leveraging Domain Knowledge for Inclusive and Bias-aware Humanitarian Response Entry Classification","created":"2023-05-26","cited_by_count":2,"area":null},{"id":"2403.16614","title":"Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts","created":"2024-03-25","cited_by_count":2,"area":null},{"id":"2410.00182","title":"Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models","created":"2024-09-30","cited_by_count":2,"area":null},{"id":"2106.07114","title":"Intelligent Agent for Hurricane Emergency Identification and Text Information Extraction from Streaming Social Media Big Data","created":"2021-06-14","cited_by_count":1,"area":null},{"id":"2111.06334","title":"Identification of Fine-Grained Location Mentions in Crisis Tweets","created":"2021-11-11","cited_by_count":1,"area":null},{"id":"2312.14943","title":"Flood Event Extraction from News Media to Support Satellite-Based Flood Insurance","created":"2023-12-05","cited_by_count":1,"area":null},{"id":"2405.06541","title":"ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2410.03075","title":"Multilingual Topic Classification in X: Dataset and Analysis","created":"2024-10-04","cited_by_count":1,"area":null},{"id":"2512.11567","title":"Extending a Parliamentary Corpus with MPs' Tweets: Automatic Annotation and Evaluation Using MultiParTweet","created":"2025-12-12","cited_by_count":1,"area":null},{"id":"2101.08854","title":"Active Hybrid Classification","created":"2021-01-21","cited_by_count":0,"area":null},{"id":"2103.11835","title":"Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management","created":"2021-03-22","cited_by_count":0,"area":null},{"id":"2111.04052","title":"How does a Pre-Trained Transformer Integrate Contextual Keywords? Application to Humanitarian Computing","created":"2021-11-07","cited_by_count":0,"area":null},{"id":"2302.13403","title":"Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster","created":"2023-02-26","cited_by_count":0,"area":null},{"id":"2405.06551","title":"ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization","created":"2024-05-10","cited_by_count":0,"area":null},{"id":"2502.16839","title":"\"Actionable Help\" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts","created":"2025-02-24","cited_by_count":0,"area":null},{"id":"2505.20249","title":"WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2511.21753","title":"Extracting Disaster Impacts and Impact Related Locations in Social Media Posts Using Large Language Models","created":"2025-11-24","cited_by_count":0,"area":null},{"id":"2512.01262","title":"Social Media Data Mining of Human Behaviour during Bushfire Evacuation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2512.01896","title":"OPOR-Bench: Evaluating Large Language Models on Online Public Opinion Report Generation","created":"2025-12-01","cited_by_count":0,"area":null},{"id":"2605.11348","title":"Large Language Models for Causal Relations Extraction in Social Media: A Validation Framework for Disaster Intelligence","created":"2026-05-12","cited_by_count":0,"area":null},{"id":"2606.09428","title":"Guide Me Out: A Framework to Benchmark VLM Operators Communication in Crisis Scenarios","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2609.16964","title":"HUMAID-NER: A Disaster Tweet Dataset for Joint Named Entity Recognition and Event Classification via Uncertainty-Weighted Multitask Learning","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.35821","title":"CrisisFake: Benchmark Validity of AI-Generated Text Detection for Disaster Social Sensing","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.18762","title":"Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}