{"id":"https://openalex.org/W4400908853","doi":"https://doi.org/10.1109/siu61531.2024.10600957","title":"The Impact of Fine-Tuning in Embedding Models on Query-Dependent Retrieval Performance","display_name":"The Impact of Fine-Tuning in Embedding Models on Query-Dependent Retrieval Performance","publication_year":2024,"publication_date":"2024-05-15","ids":{"openalex":"https://openalex.org/W4400908853","doi":"https://doi.org/10.1109/siu61531.2024.10600957"},"language":"en","primary_location":{"id":"doi:10.1109/siu61531.2024.10600957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5104971367","display_name":"Berkin Alkan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berkin Alkan","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104987243","display_name":"Onur \u00d6zcan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Onur \u00d6zcan","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106104495","display_name":"Yahya Bahadir Karata\u015f","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yahya Bahad\u0131r Karata\u015f","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104987245","display_name":"Muhammed Cihat \u00dcnal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammed Cihat \u00dcnal","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104987246","display_name":"O\u011fuz Koluk\u0131sa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"O\u011fuz Koluk\u0131sa","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025906898","display_name":"\u0130smail Karakaya","orcid":"https://orcid.org/0000-0003-4308-6919"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"\u0130smail Karakaya","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004393558","display_name":"Alper Karamanl\u0131o\u011flu","orcid":"https://orcid.org/0000-0001-5536-1354"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alper Karamanl\u0131o\u011flu","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063169881","display_name":"Berkan Demirel","orcid":"https://orcid.org/0000-0002-5759-6410"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berkan Demirel","raw_affiliation_strings":["Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yapay Zeka Teknolojileri Grup Liderli&#x02D8;gi HAVELSAN,Ankara,T&#x00FC;rkiye","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08798774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9879000186920166,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9879000186920166,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9761000275611877,"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"}},{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9707000255584717,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7387803792953491},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6724902987480164},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5064824819564819},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4734974503517151},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.44978559017181396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23536059260368347}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7387803792953491},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6724902987480164},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5064824819564819},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4734974503517151},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.44978559017181396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23536059260368347}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/siu61531.2024.10600957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu61531.2024.10600957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 32nd Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2006459955","https://openalex.org/W2146885082","https://openalex.org/W2572349046","https://openalex.org/W2538384344","https://openalex.org/W4386051213","https://openalex.org/W185198413","https://openalex.org/W3001245047","https://openalex.org/W3125756434","https://openalex.org/W3049728138"],"abstract_inverted_index":{"In":[0],"the":[1,6,21,47,54,61,66,88,106,117,130,138,144],"field":[2],"of":[3,8,17,23,56,63,90,108,116,132],"Machine":[4],"Learning,":[5],"ability":[7],"Large":[9],"Language":[10],"Models":[11],"to":[12,42,46,69,97,104,143],"generate":[13],"context-dependent":[14],"responses":[15,57],"is":[16,124,146],"significant":[18],"importance":[19],"in":[20,93,111,137,151],"development":[22],"models.":[24],"Source":[25],"texts":[26],"are":[27,35],"divided":[28],"into":[29],"segments":[30],"from":[31],"which":[32],"embedding":[33,91],"vectors":[34,92,110],"extracted":[36],"and":[37,75],"associated":[38],"with":[39],"incoming":[40],"prompts":[41],"select":[43],"contexts":[44],"relevant":[45,96],"request.":[48],"This":[49,84],"process":[50,102,119,141],"not":[51],"only":[52],"increases":[53],"accuracy":[55],"but":[58],"also":[59],"prevents":[60],"risk":[62],"hallucinations.":[64],"Therefore,":[65],"methods":[67],"used":[68,136],"calculate":[70],"vector":[71],"similarities":[72],"between":[73],"context":[74,139],"prompt":[76,145],"have":[77],"a":[78,98,121],"notable":[79],"impact":[80,115],"on":[81,87,120],"model":[82],"performance.":[83],"study":[85],"focuses":[86],"role":[89],"retrieving":[94],"information":[95],"prompt.":[99],"A":[100],"fine-tuning":[101,118],"performed":[103],"improve":[105],"efficacy":[107],"these":[109],"extracting":[112],"information.":[113],"The":[114],"domain-specific":[122],"dataset":[123],"examined":[125],"within":[126],"this":[127],"scope.":[128],"Additionally,":[129],"effectiveness":[131],"semantic":[133],"similarity":[134],"functions":[135],"retrieval":[140],"according":[142],"evaluated":[147],"for":[148],"their":[149],"success":[150],"finding":[152],"similarities.":[153]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
