{"id":"https://openalex.org/W7160621933","doi":"https://doi.org/10.48550/arxiv.2605.06223","title":"ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries","display_name":"ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160621933","doi":"https://doi.org/10.48550/arxiv.2605.06223"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.06223","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123528747","display_name":"Junhyuk Kwon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kwon, Junhyuk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135660712","display_name":"Seungjoon Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Seungjoon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135664814","display_name":"Hyejin Park","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Hyejin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012926287","display_name":"Kyle Min","orcid":"https://orcid.org/0000-0002-3978-918X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Min, Kyle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135673751","display_name":"Jungseul Ok","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ok, Jungseul","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.7810999751091003,"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/T10028","display_name":"Topic Modeling","score":0.7810999751091003,"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/T12031","display_name":"Speech and dialogue systems","score":0.0925000011920929,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.016899999231100082,"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/discriminative-model","display_name":"Discriminative model","score":0.7056000232696533},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.6233000159263611},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3856000006198883},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3361999988555908}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7882000207901001},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7056000232696533},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.6233000159263611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4715999960899353},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35989999771118164},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3361999988555908},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.24979999661445618}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.06223","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06223","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.7280241847038269,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Natural-language":[0],"instance":[1],"navigation":[2,230],"becomes":[3],"challenging":[4],"when":[5],"the":[6,14,22,29,34,58,74,89,95,97,104,137,152,185,198],"initial":[7],"user":[8,114],"request":[9],"does":[10],"not":[11],"uniquely":[12],"specify":[13],"target":[15,35,105,138,172],"instance.":[16],"A":[17],"practical":[18],"agent":[19,98],"should":[20],"reduce":[21],"user's":[23],"burden":[24],"by":[25],"actively":[26],"asking":[27],"only":[28],"information":[30],"needed":[31],"to":[32,85,102,109,174,183],"distinguish":[33,86,103],"from":[36,78,106,170],"similar":[37,232],"distractors,":[38,107],"rather":[39,81],"than":[40,82],"requiring":[41],"a":[42,92,125,131,156],"detailed":[43,206],"description":[44,173],"upfront.":[45],"Existing":[46],"approaches":[47],"often":[48],"fall":[49],"short":[50],"of":[51],"this":[52],"goal:":[53],"they":[54],"may":[55,99],"stop":[56],"at":[57,165,237],"first":[59,129],"plausible":[60],"candidate":[61,132,186],"before":[62],"sufficiently":[63],"exploring":[64],"alternatives,":[65],"or,":[66],"even":[67],"after":[68],"collecting":[69],"multiple":[70],"candidates,":[71],"ask":[72],"about":[73],"target's":[75],"attributes":[76],"derived":[77],"individual":[79],"candidates":[80,87,164],"questions":[83],"selected":[84],"in":[88],"pool.":[90],"As":[91],"result,":[93],"despite":[94],"dialogue,":[96],"still":[100],"fail":[101],"leading":[108],"premature":[110],"decisions":[111],"and":[112,134,160,202],"lengthy":[113],"responses.":[115],"We":[116],"propose":[117],"Proactive":[118],"Instance":[119],"Navigation":[120],"with":[121,197,205],"Comparative":[122],"Judgment":[123],"(ProCompNav),":[124],"two-stage":[126],"framework":[127],"that":[128,150,222],"constructs":[130],"pool":[133],"then":[135],"identifies":[136],"through":[139],"comparative":[140,223],"judgment.":[141],"At":[142],"each":[143,179],"round,":[144],"ProCompNav":[145,190,213],"extracts":[146],"an":[147],"attribute-value":[148],"pair":[149],"splits":[151],"current":[153],"pool,":[154],"asks":[155],"binary":[157],"yes/no":[158],"question,":[159],"prunes":[161],"all":[162],"inconsistent":[163],"once.":[166],"This":[167],"reframes":[168],"disambiguation":[169],"open-ended":[171],"pool-level":[175],"discriminative":[176],"questioning,":[177],"where":[178],"question":[180],"is":[181,225,235],"chosen":[182],"narrow":[184],"set.":[187],"On":[188],"CoIN-Bench,":[189],"improves":[191],"Success":[192,217],"Rate":[193,218],"over":[194],"interactive":[195],"baselines":[196,204],"same":[199],"minimal":[200],"input":[201],"non-interactive":[203],"descriptions,":[207],"while":[208],"substantially":[209],"reducing":[210],"Response":[211],"Length.":[212],"also":[214],"achieves":[215],"state-of-the-art":[216],"on":[219],"TextNav,":[220],"suggesting":[221],"judgment":[224],"broadly":[226],"useful":[227],"for":[228],"instance-level":[229],"among":[231],"distractors.":[233],"Code":[234],"available":[236],"https://github.com/tree-jhk/procompnav.":[238]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-09T00:00:00"}