{"id":"https://openalex.org/W4408345571","doi":"https://doi.org/10.1109/icassp49660.2025.10888677","title":"TAPO: Task-Referenced Adaptation for Prompt Optimization","display_name":"TAPO: Task-Referenced Adaptation for Prompt Optimization","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408345571","doi":"https://doi.org/10.1109/icassp49660.2025.10888677"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenxin Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenxin Luo","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060417471","display_name":"W.-P. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weirui Wang","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355093","display_name":"Xiaopeng Li","orcid":"https://orcid.org/0000-0003-0016-1018"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiaopeng Li","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weibo Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Weibo Zhou","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094239331","display_name":"Pengyue Jia","orcid":"https://orcid.org/0000-0003-4712-3676"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Pengyue Jia","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062372906","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-4887-1924"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":4.5452,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.9350159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/adaptation","display_name":"Adaptation (eye)","score":0.7732416391372681},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115150690078735},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6578593850135803},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.08787405490875244},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08103722333908081},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.06794178485870361},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06221771240234375}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.7732416391372681},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115150690078735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6578593850135803},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.08787405490875244},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08103722333908081},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.06794178485870361},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06221771240234375}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888677","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888677","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307285","display_name":"Impact Fund","ror":"https://ror.org/00jb20j87"},{"id":"https://openalex.org/F4320326427","display_name":"Innovation and Technology Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2105717194","https://openalex.org/W2251935656","https://openalex.org/W2276364082","https://openalex.org/W2970641574","https://openalex.org/W3170403598","https://openalex.org/W4385571157","https://openalex.org/W4385573003","https://openalex.org/W4386721920","https://openalex.org/W4393153290","https://openalex.org/W4400525231","https://openalex.org/W4400528846","https://openalex.org/W4401042882","https://openalex.org/W4402667158","https://openalex.org/W4403577345","https://openalex.org/W4409365132","https://openalex.org/W6803096969","https://openalex.org/W6809646742","https://openalex.org/W6844011046","https://openalex.org/W6845413636","https://openalex.org/W6846244884","https://openalex.org/W6846556436","https://openalex.org/W6851775633","https://openalex.org/W6856921629","https://openalex.org/W6857128962","https://openalex.org/W6860360624","https://openalex.org/W6860391885","https://openalex.org/W6861557549","https://openalex.org/W6869057863","https://openalex.org/W6874670586","https://openalex.org/W6874974032","https://openalex.org/W6874996622","https://openalex.org/W6875014709"],"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":{"Prompt":[0],"engineering":[1],"can":[2],"significantly":[3],"improve":[4],"the":[5,22,34,123],"performance":[6],"of":[7,27,33,68,125],"large":[8],"language":[9],"models":[10],"(LLMs),":[11],"with":[12],"automated":[13],"prompt":[14,29,64,83,109],"optimization":[15,65,103],"(APO)":[16],"gaining":[17],"significant":[18],"attention":[19],"due":[20],"to":[21,80,93],"time-consuming":[23],"and":[24,49,128],"laborious":[25],"nature":[26],"manual":[28],"design.":[30],"However,":[31],"much":[32],"existing":[35],"work":[36],"in":[37,43],"APO":[38],"overlooks":[39],"task-specific":[40,54,82],"characteristics,":[41],"resulting":[42],"prompts":[44,96],"that":[45],"lack":[46],"domain":[47],"specificity":[48],"are":[50],"not":[51],"well-suited":[52],"for":[53,107],"optimization.":[55],"In":[56],"this":[57],"paper,":[58],"we":[59,87],"introduce":[60],"TAPO,":[61],"a":[62,73,89],"multitask-aware":[63],"framework":[66,104],"composed":[67],"three":[69],"key":[70],"modules.":[71],"First,":[72],"task-aware":[74],"metric":[75],"selection":[76],"module":[77,92],"is":[78,105,131],"proposed":[79],"enhance":[81],"generation":[84],"capabilities.":[85],"Second,":[86],"present":[88],"multi-metrics":[90],"evaluation":[91],"jointly":[94],"evaluate":[95],"from":[97],"multiple":[98],"perspectives.":[99],"Third,":[100],"an":[101],"evolution-based":[102],"introduced":[106],"automatic":[108],"refinement,":[110],"which":[111],"improves":[112],"adaptability":[113],"across":[114],"various":[115],"tasks.":[116],"Extensive":[117],"experiments":[118],"on":[119],"six":[120],"datasets":[121],"demonstrate":[122],"effectiveness":[124],"our":[126,129],"approach,":[127],"code":[130],"publicly":[132],"available1.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}