{"id":"https://openalex.org/W4412887995","doi":"https://doi.org/10.18653/v1/2025.findings-acl.750","title":"Harnessing Large Language Models for Disaster Management: A Survey","display_name":"Harnessing Large Language Models for Disaster Management: A Survey","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887995","doi":"https://doi.org/10.18653/v1/2025.findings-acl.750"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.750","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.750","pdf_url":"https://aclanthology.org/2025.findings-acl.750.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.750.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181288","display_name":"Zhenyu Lei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyu Lei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181289","display_name":"Yushun Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yushun Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318044","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-8524-8977"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiyu Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181290","display_name":"Rong Ding","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341195","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0001-6804-1173"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi R. Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5049470634","display_name":"Jundong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jundong Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"14528","last_page":"14551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9309999942779541,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6154650449752808},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.5748955011367798},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0969439148902893}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154650449752808},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.5748955011367798},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0969439148902893},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.750","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.750","pdf_url":"https://aclanthology.org/2025.findings-acl.750.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.750","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.750","pdf_url":"https://aclanthology.org/2025.findings-acl.750.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.8799999952316284}],"awards":[{"id":"https://openalex.org/G1556222804","display_name":"SCC-IRG Track 2: Toxic-Free Footprints to Improve Community Health against Respiratory Hazards","funder_award_id":"2125326","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3230151192","display_name":"SCC-IRG Track 1: Community-Responsive Electrified and Adaptive Transit Ecosystem (CREATE): Planning, Operations, and Management","funder_award_id":"2411248","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4932945845","display_name":"CAREER: Toward A Knowledge-Guided Framework for Personalized Decision Making","funder_award_id":"2144209","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7344714104","display_name":"Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water","funder_award_id":"2228534","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7378744750","display_name":"III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications","funder_award_id":"2006844","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7638536","display_name":"Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water","funder_award_id":"2228533","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887995.pdf","grobid_xml":"https://content.openalex.org/works/W4412887995.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"capabilities":[7],"across":[8],"various":[9],"domains,":[10],"including":[11],"their":[12,44],"emerging":[13],"role":[14],"in":[15,46,61,100],"mitigating":[16],"threats":[17],"to":[18,90,105],"human":[19],"life,":[20],"infrastructure,":[21],"and":[22,40,75,81,85,98],"the":[23,95],"environment":[24],"during":[25],"natural":[26,47,109],"disasters.Despite":[27],"increasing":[28],"research":[29,96],"on":[30,72],"disaster-focused":[31],"LLMs,":[32],"there":[33],"remains":[34],"a":[35,56,65],"lack":[36],"of":[37,43,59],"systematic":[38],"reviews":[39],"in-depth":[41],"analyses":[42],"applications":[45],"disaster":[48,62,73],"management.To":[49],"address":[50],"this":[51,53,87],"gap,":[52],"paper":[54],"presents":[55],"comprehensive":[57],"survey":[58],"LLMs":[60],"response,":[63],"introducing":[64],"taxonomy":[66],"that":[67],"categorizes":[68],"existing":[69],"works":[70],"based":[71],"phases":[74],"application":[76],"scenarios.By":[77],"compiling":[78],"public":[79],"datasets":[80],"identifying":[82],"key":[83],"challenges":[84],"opportunities,":[86],"study":[88],"aims":[89],"provide":[91],"valuable":[92],"insights":[93],"for":[94],"community":[97],"practitioners":[99],"developing":[101],"advanced":[102],"LLM-driven":[103],"solutions":[104],"enhance":[106],"resilience":[107],"against":[108],"disasters.":[110]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":9}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
