{"id":"https://openalex.org/W7155090523","doi":"https://doi.org/10.48550/arxiv.2604.17283","title":"HorizonBench: Long-Horizon Personalization with Evolving Preferences","display_name":"HorizonBench: Long-Horizon Personalization with Evolving Preferences","publication_year":2026,"publication_date":"2026-04-19","ids":{"openalex":"https://openalex.org/W7155090523","doi":"https://doi.org/10.48550/arxiv.2604.17283"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.17283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17283","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.2604.17283","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022934996","display_name":"Shuyue Stella Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Shuyue Stella","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053544878","display_name":"Bhargavi Paranjape","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paranjape, Bhargavi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077543395","display_name":"Kerem Oktar","orcid":"https://orcid.org/0000-0002-0118-5065"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oktar, Kerem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134128364","display_name":"Zhongyao Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zhongyao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040149588","display_name":"Gelin Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Gelin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134160346","display_name":"Lin Guan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guan, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134160968","display_name":"Na Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Na","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104310142","display_name":"Sem Park","orcid":"https://orcid.org/0009-0007-9599-5301"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Park, Sem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443784","display_name":"Lin Chen","orcid":"https://orcid.org/0000-0002-9876-0168"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134206584","display_name":"Diyi Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Diyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134109620","display_name":"Yulia Tsvetkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsvetkov, Yulia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134177335","display_name":"Asli Celikyilmaz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Celikyilmaz, Asli","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/T10799","display_name":"Data Visualization and Analytics","score":0.1890999972820282,"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/T10799","display_name":"Data Visualization and Analytics","score":0.1890999972820282,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.11100000143051147,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.041200000792741776,"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/personalization","display_name":"Personalization","score":0.7497000098228455},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5705000162124634},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5605999827384949},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5454000234603882},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5139999985694885},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5047000050544739},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.49729999899864197},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.41269999742507935},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.3790000081062317}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7497000098228455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6934999823570251},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5605999827384949},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5454000234603882},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.49729999899864197},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.41269999742507935},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3741999864578247},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3140000104904175},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3041999936103821},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2874000072479248},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28049999475479126},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C126831891","wikidata":"https://www.wikidata.org/wiki/Q221673","display_name":"Host (biology)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.17283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17283","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.2604.17283","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.17283","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"User":[0],"preferences":[1],"evolve":[2],"across":[3,84,174],"months":[4],"of":[5,94,154],"interaction,":[6],"and":[7,31,42,53,87,108,122,134,177],"tracking":[8,165],"them":[9],"requires":[10],"inferring":[11],"when":[12],"a":[13,20,65,72,92,113,152],"stated":[14,162],"preference":[15,82],"has":[16],"been":[17],"changed":[18],"by":[19,39],"subsequent":[21],"life":[22],"event.":[23],"We":[24,63],"define":[25],"this":[26],"problem":[27],"as":[28,184],"long-horizon":[29,51,189],"personalization":[30],"observe":[32],"that":[33,68],"progress":[34],"on":[35,148],"it":[36,89],"is":[37],"limited":[38],"data":[40,66],"availability":[41],"measurement,":[43],"with":[44,101],"no":[45],"existing":[46],"resource":[47],"providing":[48],"both":[49],"naturalistic":[50],"interactions":[52],"the":[54,129,140,155,159,166,185],"ground-truth":[55,78],"provenance":[56,79],"needed":[57],"to":[58],"diagnose":[59],"why":[60],"models":[61,146],"fail.":[62],"introduce":[64],"generator":[67],"produces":[69],"conversations":[70],"from":[71,88,97],"structured":[73],"mental":[74],"state":[75],"graph,":[76],"yielding":[77],"for":[80,115,188],"every":[81],"change":[83],"6-month":[85,102],"timelines,":[86],"construct":[90],"HorizonBench,":[91],"benchmark":[93],"4,245":[95],"items":[96],"360":[98],"simulated":[99],"users":[100],"conversation":[103],"histories":[104],"averaging":[105],"~4,300":[106],"turns":[107],"~163K":[109],"tokens.":[110],"HorizonBench":[111],"provides":[112],"testbed":[114],"long-context":[116],"modeling,":[117],"memory-augmented":[118],"architectures,":[119],"theory-of-mind":[120],"reasoning,":[121],"user":[123,168],"modeling.":[124],"Across":[125],"25":[126],"frontier":[127],"models,":[128],"best":[130],"model":[131],"reaches":[132],"52.8%":[133],"most":[135],"score":[136],"at":[137],"or":[138],"below":[139],"20%":[141],"chance":[142],"baseline.":[143],"When":[144],"these":[145],"err":[147],"evolved":[149],"preferences,":[150],"over":[151],"third":[153],"time":[156],"they":[157],"select":[158],"user's":[160],"originally":[161],"value":[163],"without":[164],"updated":[167],"state.":[169],"This":[170],"belief-update":[171],"failure":[172],"persists":[173],"context":[175],"lengths":[176],"expression":[178],"explicitness":[179],"levels,":[180],"identifying":[181],"state-tracking":[182],"capability":[183],"primary":[186],"bottleneck":[187],"personalization.":[190]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-22T00:00:00"}
