{"id":"https://openalex.org/W4412888897","doi":"https://doi.org/10.18653/v1/2025.findings-acl.41","title":"SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment","display_name":"SPICA: Retrieving Scenarios for Pluralistic In-Context Alignment","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888897","doi":"https://doi.org/10.18653/v1/2025.findings-acl.41"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.41","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.41","pdf_url":"https://aclanthology.org/2025.findings-acl.41.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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.41.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037054163","display_name":"Quan Ze Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Quan Ze Chen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075007983","display_name":"Kevin Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kevin Feng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100608518","display_name":"Chan Young Park","orcid":"https://orcid.org/0000-0002-5183-3665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chan Young Park","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037569091","display_name":"Amy X. Zhang","orcid":"https://orcid.org/0000-0001-9462-9835"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy X Zhang","raw_affiliation_strings":["University of Washington"],"affiliations":[{"raw_affiliation_string":"University of Washington","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037054163"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23594131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"748","last_page":"765"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13844","display_name":"Higher Education Learning Practices","score":0.05090000107884407,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13844","display_name":"Higher Education Learning Practices","score":0.05090000107884407,"subfield":{"id":"https://openalex.org/subfields/3304","display_name":"Education"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/spica","display_name":"Spica","score":0.7412410974502563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600615382194519},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6146754622459412},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20335784554481506},{"id":"https://openalex.org/keywords/astronomy","display_name":"Astronomy","score":0.10112115740776062},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06586045026779175}],"concepts":[{"id":"https://openalex.org/C2777460106","wikidata":"https://www.wikidata.org/wiki/Q13008","display_name":"Spica","level":2,"score":0.7412410974502563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600615382194519},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6146754622459412},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20335784554481506},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.10112115740776062},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06586045026779175},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.41","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.41","pdf_url":"https://aclanthology.org/2025.findings-acl.41.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.41","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.41","pdf_url":"https://aclanthology.org/2025.findings-acl.41.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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888897.pdf","grobid_xml":"https://content.openalex.org/works/W4412888897.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/W2046358311","https://openalex.org/W3021336449","https://openalex.org/W2757236929","https://openalex.org/W1997465146","https://openalex.org/W18548844","https://openalex.org/W2020875663","https://openalex.org/W3136529974"],"abstract_inverted_index":{"When":[0],"different":[1],"groups'":[2],"values":[3],"differ,":[4],"one":[5],"approach":[6,155],"to":[7,11,100,123,158],"model":[8],"alignment":[9,61,69,144],"is":[10,113,162],"steer":[12],"models":[13],"at":[14],"inference":[15],"time":[16],"towards":[17],"each":[18],"group's":[19],"preferences.However,":[20],"techniques":[21],"like":[22],"in-context":[23,48,60,83],"learning":[24],"only":[25,147],"consider":[26],"similarity":[27],"when":[28],"drawing":[29],"few-shot":[30],"examples":[31,84],"and":[32,59],"not":[33,163],"cross-group":[34],"differences":[35,46],"in":[36],"values.We":[37],"propose":[38],"SPICA,":[39],"a":[40,124,129,153],"framework":[41],"that":[42,85,111,151],"accounts":[43],"for":[44,166],"group-level":[45],"during":[47],"example":[49],"retrieval.SPICA":[50],"introduces":[51],"three":[52],"designs:":[53],"scenario":[54],"banks,":[55],"groupinformed":[56],"retrieval":[57],"metrics,":[58],"prompts.From":[62],"an":[63,68,103],"evaluation":[64,105],"of":[65],"SPICA":[66,112,135],"on":[67,128],"task":[70],"collecting":[71],"inputs":[72],"from":[73,134,143],"four":[74],"demographic":[75],"groups":[76,120,141],"(n":[77,106],"=":[78,107],"544),":[79],"our":[80],"metrics":[81],"retrieve":[82],"more":[86,137],"closely":[87],"match":[88],"observed":[89],"preferences,":[90],"with":[91,119,139],"the":[92],"best":[93],"prompt":[94],"configuration":[95],"using":[96],"multiple":[97],"contrastive":[98],"responses":[99],"demonstrate":[101],"examples.In":[102],"endto-end":[104],"120),":[108],"we":[109,149],"observe":[110],"higher":[114],"rated":[115],"than":[116,146],"similarity-based":[117],"retrieval,":[118],"seeing":[121],"up":[122],"+0.16":[125],"point":[126,131],"improvement":[127],"5":[130],"scale.Additionally,":[132],"gains":[133],"were":[136],"uniform,":[138],"all":[140],"benefiting":[142],"rather":[145],"some.Finally,":[148],"find":[150],"while":[152],"groupagnostic":[154],"can":[156],"align":[157],"aggregated":[159],"values,":[160],"it":[161],"most":[164],"suited":[165],"divergent":[167],"groups.":[168],"1":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}