{"id":"https://openalex.org/W4393157162","doi":"https://doi.org/10.1609/aaai.v38i16.29727","title":"Visual Instruction Tuning with Polite Flamingo","display_name":"Visual Instruction Tuning with Polite Flamingo","publication_year":2024,"publication_date":"2024-03-24","ids":{"openalex":"https://openalex.org/W4393157162","doi":"https://doi.org/10.1609/aaai.v38i16.29727"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v38i16.29727","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i16.29727","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29727/31249","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29727/31249","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020620488","display_name":"Delong Chen","orcid":"https://orcid.org/0000-0002-8172-2894"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Delong Chen","raw_affiliation_strings":["Xiaobing.AI\nHong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Xiaobing.AI\nHong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106762821","display_name":"Jianfeng Liu","orcid":"https://orcid.org/0000-0002-3054-4426"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianfeng Liu","raw_affiliation_strings":["Xiaobing.AI"],"affiliations":[{"raw_affiliation_string":"Xiaobing.AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108499414","display_name":"Wenliang Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenliang Dai","raw_affiliation_strings":["Hong Kong University of Science and Technology"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101902183","display_name":"Baoyuan Wang","orcid":"https://orcid.org/0000-0002-8268-7517"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Baoyuan Wang","raw_affiliation_strings":["Xiaobing.AI"],"affiliations":[{"raw_affiliation_string":"Xiaobing.AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020620488"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.2427,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.7643909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"38","issue":"16","first_page":"17745","last_page":"17753"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10888","display_name":"Augmented Reality Applications","score":0.5152999758720398,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10888","display_name":"Augmented Reality Applications","score":0.5152999758720398,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/politeness","display_name":"Politeness","score":0.9205752015113831},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.40766268968582153},{"id":"https://openalex.org/keywords/optometry","display_name":"Optometry","score":0.3837296962738037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3448190987110138},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.2788940966129303},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.202443927526474},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.1194787323474884}],"concepts":[{"id":"https://openalex.org/C61123122","wikidata":"https://www.wikidata.org/wiki/Q281287","display_name":"Politeness","level":2,"score":0.9205752015113831},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.40766268968582153},{"id":"https://openalex.org/C119767625","wikidata":"https://www.wikidata.org/wiki/Q618211","display_name":"Optometry","level":1,"score":0.3837296962738037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3448190987110138},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2788940966129303},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.202443927526474},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.1194787323474884}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v38i16.29727","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i16.29727","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29727/31249","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-136821","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-136821","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":{"id":"doi:10.1609/aaai.v38i16.29727","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v38i16.29727","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/29727/31249","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393157162.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1889081078","https://openalex.org/W2109586012","https://openalex.org/W2560674852","https://openalex.org/W2560730294","https://openalex.org/W2886641317","https://openalex.org/W2889017949","https://openalex.org/W2899335602","https://openalex.org/W2949554687","https://openalex.org/W2963530300","https://openalex.org/W2964196083","https://openalex.org/W2970641574","https://openalex.org/W3135367836","https://openalex.org/W3166396011","https://openalex.org/W3168867926","https://openalex.org/W3216109288","https://openalex.org/W4225323055","https://openalex.org/W4226352076","https://openalex.org/W4281633595","https://openalex.org/W4283208789","https://openalex.org/W4312746376","https://openalex.org/W4312846625","https://openalex.org/W4322718191","https://openalex.org/W4322718246","https://openalex.org/W4353113046","https://openalex.org/W4361229539","https://openalex.org/W4361866031","https://openalex.org/W4362707064","https://openalex.org/W4366330503","https://openalex.org/W4366341216","https://openalex.org/W4366850747","https://openalex.org/W4367367040","https://openalex.org/W4375869762","https://openalex.org/W4376122449","https://openalex.org/W4376312115","https://openalex.org/W4376653374","https://openalex.org/W4378446837","https://openalex.org/W4378509449","https://openalex.org/W4378942562","https://openalex.org/W4379089779","https://openalex.org/W4380135847","https://openalex.org/W4380137118","https://openalex.org/W4380558379","https://openalex.org/W4380994594","https://openalex.org/W4381572076","https://openalex.org/W4381802186","https://openalex.org/W4382132560","https://openalex.org/W4389519291","https://openalex.org/W6764061913","https://openalex.org/W6796581206","https://openalex.org/W6845850023","https://openalex.org/W6851592950","https://openalex.org/W6851813333","https://openalex.org/W6851960618","https://openalex.org/W6852609638","https://openalex.org/W6853251322","https://openalex.org/W6853336233","https://openalex.org/W6853875005"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2394026242","https://openalex.org/W3157531824","https://openalex.org/W627623443","https://openalex.org/W2350380269","https://openalex.org/W1997386688","https://openalex.org/W4388526518","https://openalex.org/W1821483538","https://openalex.org/W313541083","https://openalex.org/W2988012016"],"abstract_inverted_index":{"Recent":[0],"research":[1],"has":[2],"demonstrated":[3],"that":[4,87],"the":[5,37,47,62,129,155],"multi-task":[6],"fine-tuning":[7,138],"of":[8,17,68,118],"multi-modal":[9,84,140,165],"Large":[10],"Language":[11],"Models":[12],"(LLMs)":[13],"using":[14],"an":[15],"assortment":[16],"annotated":[18],"downstream":[19],"vision-language":[20,119],"datasets":[21,120],"significantly":[22],"enhances":[23],"their":[24,106],"performance.":[25],"Yet,":[26],"during":[27],"this":[28,77],"process,":[29],"a":[30,83,92,115,139],"side":[31,43],"effect,":[32],"which":[33],"we":[34,79,127],"termed":[35],"as":[36],"\"multi-modal":[38],"alignment":[39],"tax\",":[40],"surfaces.":[41],"This":[42],"effect":[44],"negatively":[45],"impacts":[46],"model's":[48],"ability":[49],"to":[50,61,101,114,171],"format":[51],"responses":[52,104],"appropriately":[53],"-":[54,59],"for":[55,121],"instance,":[56],"its":[57,135,161],"\"politeness\"":[58],"due":[60],"overly":[63],"succinct":[64],"and":[65,110,132,152,167,173,177],"unformatted":[66],"nature":[67],"raw":[69,89],"annotations,":[70],"resulting":[71,156],"in":[72,163],"reduced":[73],"human":[74,174],"preference.":[75],"In":[76],"paper,":[78],"introduce":[80],"Polite":[81,97],"Flamingo,":[82,159],"response":[85,122,168],"rewriter":[86],"transforms":[88],"annotations":[90],"into":[91],"more":[93],"appealing,":[94],"\"polite\"":[95],"format.":[96],"Flamingo":[98],"is":[99,111],"trained":[100],"reconstruct":[102],"high-quality":[103],"from":[105],"automatically":[107],"distorted":[108],"counterparts":[109],"subsequently":[112],"applied":[113],"vast":[116],"array":[117],"rewriting.":[123],"After":[124],"rigorous":[125],"filtering,":[126],"generate":[128],"PF-1M":[130],"dataset":[131,178],"further":[133],"validate":[134],"value":[136],"by":[137],"LLM":[141],"with":[142,145],"it.":[143],"Combined":[144],"novel":[146],"methodologies":[147],"including":[148],"U-shaped":[149],"multi-stage":[150],"tuning":[151],"multi-turn":[153],"augmentation,":[154],"model,":[157],"Clever":[158],"demonstrates":[160],"advantages":[162],"both":[164],"understanding":[166],"politeness":[169],"according":[170],"automated":[172],"evaluations.":[175],"Code":[176],"are":[179],"available":[180],"at":[181],"https://github.com/ChenDelong1999/polite-flamingo":[182]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}