{"id":"https://openalex.org/W7144046393","doi":"https://doi.org/10.20736/0002002082","title":"ditlab at the NTCIR-18 Transfer-2 Task","display_name":"ditlab at the NTCIR-18 Transfer-2 Task","publication_year":null,"publication_date":null,"ids":{"openalex":"https://openalex.org/W7144046393","doi":"https://doi.org/10.20736/0002002082"},"language":"en","primary_location":{"id":"pmh:oai:irdb.nii.ac.jp:03100:0006839245","is_oa":true,"landing_page_url":"https://repository.nii.ac.jp/records/2002082","pdf_url":"https://repository.nii.ac.jp/record/2002082/files/02-NTCIR18-TRANSFER-TachiokaY.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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"},"type":"article","indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.nii.ac.jp/record/2002082/files/02-NTCIR18-TRANSFER-TachiokaY.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022767796","display_name":"Yuuki Tachioka","orcid":"https://orcid.org/0009-0002-0587-2943"},"institutions":[{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuuki Tachioka","raw_affiliation_strings":["Denso IT Laboratory Denso IT Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory Denso IT Laboratory","institution_ids":["https://openalex.org/I67530263"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5131089232","display_name":"Yasunori Terao","orcid":null},"institutions":[{"id":"https://openalex.org/I67530263","display_name":"Denso (United States)","ror":"https://ror.org/02w314k38","country_code":"US","type":"company","lineage":["https://openalex.org/I4210132650","https://openalex.org/I67530263"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasunori Terao","raw_affiliation_strings":["Denso IT Laboratory Denso IT Laboratory"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Denso IT Laboratory Denso IT Laboratory","institution_ids":["https://openalex.org/I67530263"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"none","last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.29269999265670776,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.29269999265670776,"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"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.22030000388622284,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.1559000015258789,"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/baseline","display_name":"Baseline (sea)","score":0.8062999844551086},{"id":"https://openalex.org/keywords/geolocation","display_name":"Geolocation","score":0.6850000023841858},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6783000230789185},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.554099977016449},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.42820000648498535},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.424699991941452},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.40639999508857727},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.3747999966144562},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.3481999933719635}],"concepts":[{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.8062999844551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735999822616577},{"id":"https://openalex.org/C22041718","wikidata":"https://www.wikidata.org/wiki/Q638949","display_name":"Geolocation","level":2,"score":0.6850000023841858},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6783000230789185},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5479999780654907},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4343999922275543},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.424699991941452},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.40639999508857727},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37439998984336853},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.34619998931884766},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.3361000120639801},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.313400000333786},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2741999924182892},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:irdb.nii.ac.jp:03100:0006839245","is_oa":true,"landing_page_url":"https://repository.nii.ac.jp/records/2002082","pdf_url":"https://repository.nii.ac.jp/record/2002082/files/02-NTCIR18-TRANSFER-TachiokaY.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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":"pmh:oai:irdb.nii.ac.jp:03100:0006839245","is_oa":true,"landing_page_url":"https://repository.nii.ac.jp/records/2002082","pdf_url":"https://repository.nii.ac.jp/record/2002082/files/02-NTCIR18-TRANSFER-TachiokaY.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.45063072443008423,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7144046393.pdf","grobid_xml":"https://content.openalex.org/works/W7144046393.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0],"ditlab":[1],"team":[2],"participated":[3],"in":[4,58,90],"the":[5,17,21,39,66,71,88,94,132,137,142,150],"Retrieval":[6,13],"Augmented":[7],"Generation":[8],"(RAG)":[9],"and":[10,60,106,111,144],"Dense":[11],"Multimodal":[12],"(DMR)":[14],"subtasks":[15],"of":[16,92,139],"NTCIR-18":[18],"Transfer-2":[19],"task.For":[20],"RAG":[22],"subtask,":[23,96],"we":[24,97],"proposed":[25],"a":[26,74,99],"late":[27],"fusion":[28],"method":[29,55,76],"for":[30],"answer":[31],"generation":[32],"that":[33,45,103],"uses":[34],"multiple":[35],"contexts":[36,47,57],"retrieved":[37],"by":[38,115],"dense":[40],"passage":[41],"retriever.Unlike":[42],"sequential":[43],"approaches":[44],"input":[46],"sequentially":[48],"into":[49,119],"large":[50],"language":[51],"models":[52],"(LLM),":[53],"our":[54,126,147,155],"processes":[56,104],"parallel":[59],"employs":[61],"majority":[62],"voting":[63],"to":[64,77,136],"determine":[65],"final":[67],"answer.We":[68],"also":[69],"finetuned":[70],"LLM":[72],"using":[73],"LoRA-based":[75],"better":[78],"handle":[79],"quizstyle":[80],"questions,":[81],"achieving":[82],"over":[83],"10":[84],"points":[85],"gains":[86],"against":[87],"baseline":[89,127,134],"terms":[91],"accuracy.For":[93],"DMR":[95],"introduce":[98],"modality-aware":[100],"sensor":[101,108],"encoder":[102],"numerical":[105],"textual":[107],"features":[109,114],"separately,":[110],"enhance":[112],"geolocation":[113],"converting":[116],"latitude/longitude":[117],"data":[118,140],"address":[120],"strings":[121],"via":[122],"knearest":[123],"neighbor":[124],"matching.Although":[125],"performance":[128,153],"is":[129],"degraded":[130],"from":[131,154],"official":[133],"due":[135],"mismatch":[138],"between":[141],"training":[143],"evaluation":[145],"data,":[146],"approach":[148],"improved":[149],"image-to-sensor":[151],"retrieval":[152],"baseline.":[156]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-04-01T00:00:00"}
