{"id":"https://openalex.org/W7127620265","doi":"https://doi.org/10.48550/arxiv.2602.03429","title":"DiscoverLLM: From Executing Intents to Discovering Them","display_name":"DiscoverLLM: From Executing Intents to Discovering Them","publication_year":2026,"publication_date":"2026-02-03","ids":{"openalex":"https://openalex.org/W7127620265","doi":"https://doi.org/10.48550/arxiv.2602.03429"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.03429","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5125094854","display_name":"Tae Woong Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Kim, Tae Soo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125070302","display_name":"Yoonjoo Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Yoonjoo","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124990830","display_name":"Jaesang Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Jaesang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125096084","display_name":"John Joon Young Chung","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chung, John Joon Young","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5125034338","display_name":"Juho Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kim, Juho","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5125094854"],"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.25369998812675476,"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"}},"topics":[{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.25369998812675476,"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/T10028","display_name":"Topic Modeling","score":0.21150000393390656,"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/T12128","display_name":"AI in Service Interactions","score":0.08250000327825546,"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/conversation","display_name":"Conversation","score":0.7669000029563904},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5893999934196472},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.5838000178337097},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5084999799728394},{"id":"https://openalex.org/keywords/tone","display_name":"Tone (literature)","score":0.4796000123023987},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.36090001463890076},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.33570000529289246}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.7669000029563904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332000136375427},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5838000178337097},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5735999941825867},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5084999799728394},{"id":"https://openalex.org/C2780583480","wikidata":"https://www.wikidata.org/wiki/Q1366327","display_name":"Tone (literature)","level":2,"score":0.4796000123023987},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.36090001463890076},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3165000081062317},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30169999599456787},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.295199990272522},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.2930000126361847},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.2892000079154968},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.25690001249313354},{"id":"https://openalex.org/C2778143727","wikidata":"https://www.wikidata.org/wiki/Q1820650","display_name":"Readability","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.03429","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.03429","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.03429","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":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.03429","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.889890193939209}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"handle":[1],"ambiguous":[2,33],"and":[3,45,74,84,150,154,168,198],"open-ended":[4],"requests,":[5],"Large":[6],"Language":[7],"Models":[8],"(LLMs)":[9],"are":[10,31,148],"increasingly":[11],"trained":[12,130],"to":[13,17,48,80,89,131,136,184,201],"interact":[14],"with":[15,101,138,190],"users":[16,30,64,82,139],"surface":[18],"intents":[19,105,147,157],"they":[20,35,42,51],"have":[21,36],"not":[22,37,67],"yet":[23,38],"expressed":[24],"(e.g.,":[25],"ask":[26],"clarification":[27],"questions).":[28],"However,":[29],"often":[32],"because":[34],"formed":[39],"their":[40,86],"intents:":[41],"must":[43],"observe":[44],"explore":[46,144],"outcomes":[47],"discover":[49,85],"what":[50],"want.":[52],"Simply":[53],"asking":[54],"\"what":[55],"kind":[56],"of":[57,104,119],"tone":[58],"do":[59,66],"you":[60],"want?\"":[61],"fails":[62],"when":[63,146,156],"themselves":[65],"know.":[68],"We":[69],"introduce":[70],"DiscoverLLM,":[71],"a":[72,93,102,123,187],"novel":[73,94],"generalizable":[75],"framework":[76],"that":[77,97,106,126],"trains":[78],"LLMs":[79],"help":[81],"form":[83],"intents.":[87],"Central":[88],"our":[90],"approach":[91],"is":[92],"user":[95,188],"simulator":[96],"models":[98,127,134],"cognitive":[99],"state":[100],"hierarchy":[103],"progressively":[107],"concretize":[108],"as":[109,122],"the":[110,117],"model":[111],"surfaces":[112],"relevant":[113],"options":[114],"--":[115],"where":[116],"degree":[118],"concretization":[120],"serves":[121],"reward":[124],"signal":[125],"can":[128],"be":[129],"optimize.":[132],"Resulting":[133],"learn":[135],"collaborate":[137],"by":[140,182],"adaptively":[141],"diverging":[142],"(i.e.,":[143,152],"options)":[145],"unclear,":[149],"converging":[151],"refine":[153],"implement)":[155],"concretize.":[158],"Across":[159],"proposed":[160],"interactive":[161],"benchmarks":[162],"in":[163],"creative":[164],"writing,":[165,167],"technical":[166],"SVG":[169],"drawing,":[170],"DiscoverLLM":[171,194],"achieves":[172],"over":[173],"10%":[174],"higher":[175],"task":[176],"performance":[177],"while":[178],"reducing":[179],"conversation":[180,196],"length":[181],"up":[183],"40%.":[185],"In":[186],"study":[189],"75":[191],"human":[192],"participants,":[193],"improved":[195],"satisfaction":[197],"efficiency":[199],"compared":[200],"baselines.":[202]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-06T00:00:00"}
