{"id":"https://openalex.org/W7140116418","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.105","title":"RECAP: REwriting Conversations for Intent Understanding in Agentic Planning","display_name":"RECAP: REwriting Conversations for Intent Understanding in Agentic Planning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140116418","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.105"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-eacl.105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.105","pdf_url":"https://aclanthology.org/2026.findings-eacl.105.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: EACL 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-eacl.105.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114230565","display_name":"Kushan Mitra","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kushan Mitra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130379852","display_name":"Dan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033892266","display_name":"Hannah Kim","orcid":"https://orcid.org/0009-0001-0094-1201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hannah Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5056213327","display_name":"Estevam Hruschka","orcid":"https://orcid.org/0000-0003-1499-2808"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Estevam Hruschka","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39780948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2015","last_page":"2033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.736299991607666,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.736299991607666,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.03530000150203705,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.03009999915957451,"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/rewriting","display_name":"Rewriting","score":0.4702000021934509},{"id":"https://openalex.org/keywords/agency","display_name":"Agency (philosophy)","score":0.3343999981880188},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.2985000014305115},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.289000004529953},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.2815999984741211},{"id":"https://openalex.org/keywords/conversation-analysis","display_name":"Conversation analysis","score":0.2777999937534332}],"concepts":[{"id":"https://openalex.org/C154690210","wikidata":"https://www.wikidata.org/wiki/Q1668499","display_name":"Rewriting","level":2,"score":0.4702000021934509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4645000100135803},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.4007999897003174},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.37130001187324524},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3490999937057495},{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.3343999981880188},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3310000002384186},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2815999984741211},{"id":"https://openalex.org/C2780829048","wikidata":"https://www.wikidata.org/wiki/Q1624720","display_name":"Conversation analysis","level":3,"score":0.2777999937534332},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2556000053882599},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-eacl.105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.105","pdf_url":"https://aclanthology.org/2026.findings-eacl.105.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: EACL 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-eacl.105","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.105","pdf_url":"https://aclanthology.org/2026.findings-eacl.105.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: EACL 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4030837416648865,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140116418.pdf","grobid_xml":"https://content.openalex.org/works/W7140116418.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"user":[1,77],"intent":[2,31,68,85,134],"is":[3],"essential":[4],"for":[5,57,142],"effective":[6],"planning":[7,100,145],"in":[8,41,116,146],"conversational":[9],"assistants,":[10],"particularly":[11],"those":[12],"powered":[13],"by":[14],"large":[15],"language":[16],"models":[17],"(LLMs)":[18],"coordinating":[19],"multiple":[20],"agents.However,":[21],"real-world":[22],"dialogues":[23,72],"are":[24],"often":[25],"ambiguous,":[26],"underspecified,":[27],"or":[28],"dynamic,":[29],"making":[30],"understanding":[32],"a":[33,60,103,109,137],"persistent":[34],"challenge.Traditional":[35],"classification-based":[36],"approaches":[37],"struggle":[38],"to":[39,45,64],"generalize":[40],"open-ended":[42],"settings,":[43],"leading":[44],"brittle":[46],"interpretations":[47],"and":[48,66,88,139],"poor":[49],"downstream":[50],"planning.We":[51],"propose":[52],"RECAP":[53],"1":[54],"(REwriting":[55],"Conversations":[56],"Agentic":[58],"Planning),":[59],"new":[61],"benchmark":[62],"designed":[63],"evaluate":[65],"advance":[67],"rewriting,":[69],"reframing":[70],"USER-AGENT":[71],"into":[73],"concise":[74],"representations":[75],"of":[76,118],"goals.RECAP":[78],"captures":[79],"diverse":[80],"challenges":[81],"such":[82],"as":[83,136],"ambiguity,":[84],"drift,":[86],"vagueness,":[87],"mixed-goal":[89],"conversations.Alongside":[90],"the":[91],"dataset,":[92],"we":[93,107],"introduce":[94],"an":[95],"LLM-based":[96],"evaluator":[97],"that":[98,113,123],"compares":[99],"utility":[101,130],"given":[102],"user-agent":[104],"dialogue.Using":[105],"RECAP,":[106],"develop":[108],"prompt-based":[110],"rewriting":[111,135],"approach":[112],"outperforms":[114],"baselines,":[115],"terms":[117],"plan":[119],"preference.We":[120],"further":[121],"demonstrate":[122],"fine-tuning":[124],"two":[125],"DPO-based":[126],"rewriters":[127],"yields":[128],"additional":[129],"gains.Our":[131],"results":[132],"highlight":[133],"critical":[138],"tractable":[140],"component":[141],"improving":[143],"agentic":[144],"open-domain":[147],"dialogue":[148],"systems.":[149]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-24T00:00:00"}