{"id":"https://openalex.org/W7140134148","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.26","title":"Exploring Iterative Controllable Summarization with Large Language Models","display_name":"Exploring Iterative Controllable Summarization with Large Language Models","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140134148","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.26"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.findings-eacl.26","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.26","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.26","pdf_url":"https://aclanthology.org/2026.findings-eacl.26.pdf","source":{"id":"https://openalex.org/S7407087051","display_name":"Findings of the Association for Computational Linguistics: EACL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.findings-eacl.26.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117865152","display_name":"Sangwon Ryu","orcid":"https://orcid.org/0009-0002-4655-1150","observed_orcids":["https://orcid.org/0009-0002-4655-1150"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sangwon Ryu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139843657","display_name":"Heejin Do","orcid":"https://orcid.org/0000-0001-7320-415X","observed_orcids":["https://orcid.org/0000-0001-7320-415X"]},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Heejin Do","raw_affiliation_strings":["ETH AI Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ETH AI Center","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061688985","display_name":"Daehui Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I101155339","display_name":"Korea Telecom (South Korea)","ror":"https://ror.org/043n4tt17","country_code":"KR","type":"company","lineage":["https://openalex.org/I101155339"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daehui Kim","raw_affiliation_strings":["AI future lab , KT","CSE , POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI future lab , KT","institution_ids":["https://openalex.org/I101155339"]},{"raw_affiliation_string":"CSE , POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130379635","display_name":"Hwanjo Yu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwanjo Yu","raw_affiliation_strings":["CSE , POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE , POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130389503","display_name":"Dongwoo Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I101155339","display_name":"Korea Telecom (South Korea)","ror":"https://ror.org/043n4tt17","country_code":"KR","type":"company","lineage":["https://openalex.org/I101155339"]},{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongwoo Kim","raw_affiliation_strings":["AI future lab , KT","CSE , POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI future lab , KT","institution_ids":["https://openalex.org/I101155339"]},{"raw_affiliation_string":"CSE , POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130391502","display_name":"Yunsu Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210123482","display_name":"Lega Italiana per la Lotta ai Tumori","ror":"https://ror.org/02r2t8x54","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210123482"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Yunsu Kim","raw_affiliation_strings":["LILT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LILT","institution_ids":["https://openalex.org/I4210123482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139850533","display_name":"Gary Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gary Lee","raw_affiliation_strings":["CSE , POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE , POSTECH","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000550975","display_name":"Jungseul Ok","orcid":"https://orcid.org/0000-0003-4742-2473","observed_orcids":["https://orcid.org/0000-0003-4742-2473"]},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungseul Ok","raw_affiliation_strings":["CSE , POSTECH"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CSE , POSTECH","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":3,"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":0.1548251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"512","last_page":"528"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9663000106811523,"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":0.9663000106811523,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.016699999570846558,"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":0.005200000014156103,"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/abstractive-summarization","display_name":"abstractive summarization","score":0.8569999933242798},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9660000205039978},{"id":"https://openalex.org/keywords/self-explanation","display_name":"self-explanation","score":0.847000002861023},{"id":"https://openalex.org/keywords/failure-rate","display_name":"failure rate","score":0.7409999966621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898000240325928},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5270000100135803},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.5091000199317932},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42910000681877136},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3377000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3199000060558319},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2026.findings-eacl.26","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.26","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.26","pdf_url":"https://aclanthology.org/2026.findings-eacl.26.pdf","source":{"id":"https://openalex.org/S7407087051","display_name":"Findings of the Association for Computational Linguistics: EACL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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"},{"id":"pmh:oai:arXiv.org:2411.12460","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2411.12460","pdf_url":"https://arxiv.org/pdf/2411.12460","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2411.12460","doi":"https://doi.org/10.48550/arxiv.2411.12460","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2411.12460","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-eacl.26","doi":"https://doi.org/10.18653/v1/2026.findings-eacl.26","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-eacl.26","pdf_url":"https://aclanthology.org/2026.findings-eacl.26.pdf","source":{"id":"https://openalex.org/S7407087051","display_name":"Findings of the Association for Computational Linguistics: EACL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1398259286","display_name":null,"funder_award_id":"RS-2019II191906","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G5051746381","display_name":null,"funder_award_id":"2019-II191906","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G7294048361","display_name":null,"funder_award_id":"RS-2019-II191906","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320319290","display_name":"Meta","ror":null},{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321282","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12"},{"id":"https://openalex.org/F4320322006","display_name":"Ministry of Culture, Sports and Tourism","ror":"https://ror.org/02fkk6k65"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320323890","display_name":"Korea Creative Content Agency","ror":"https://ror.org/036vyg793"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140134148.pdf","grobid_xml":"https://content.openalex.org/works/W7140134148.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7166835640","https://openalex.org/W4411113225","https://openalex.org/W4388748450","https://openalex.org/W4411379402","https://openalex.org/W4402684289","https://openalex.org/W4415680466","https://openalex.org/W4403578389","https://openalex.org/W4417142383","https://openalex.org/W4409362655","https://openalex.org/W4413718205"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"remarkable":[6],"performance":[7],"in":[8,100,110],"abstractive":[9],"summarization":[10],"tasks.However,":[11],"their":[12,26],"ability":[13],"to":[14,28,59,96,107],"precisely":[15,61],"control":[16],"summary":[17,45],"attributes":[18,76,99,127],"(e.g.,":[19],"length":[20],"or":[21],"topic)":[22],"remains":[23],"underexplored,":[24],"limiting":[25],"adaptability":[27],"specific":[29],"user":[30],"preferences.In":[31],"this":[32,41,82],"paper,":[33],"we":[34,43,84],"systematically":[35],"explore":[36],"the":[37,94,101,111,125],"controllability":[38,63],"of":[39,66],"LLMs.To":[40],"end,":[42],"revisit":[44],"attribute":[46,117],"measurements":[47],"and":[48,55,104],"introduce":[49],"iterative":[50,138],"evaluation":[51],"metrics,":[52],"failure":[53],"rate":[54],"average":[56],"iteration":[57],"count,":[58],"more":[60,73],"evaluate":[62],"beyond":[64],"assessment":[65],"errors.Our":[67],"findings":[68],"show":[69],"that":[70,123],"LLMs":[71],"struggle":[72],"with":[74,78,128],"numerical":[75],"than":[77,136],"linguistic":[79],"attributes.To":[80],"address":[81],"challenge,":[83],"propose":[85],"a":[86],"guide-to-explain":[87],"framework":[88],"(GTE)":[89],"for":[90],"controllable":[91],"summarization.GTE":[92],"enables":[93],"model":[95],"identify":[97],"misaligned":[98],"initial":[102],"draft":[103],"guides":[105],"it":[106],"self-explain":[108],"errors":[109],"previous":[112],"output.By":[113],"encouraging":[114],"reflection":[115],"on":[116],"misalignment,":[118],"GTE":[119],"generates":[120],"well-adjusted":[121],"summaries":[122],"satisfy":[124],"desired":[126],"robust":[129],"effectiveness":[130],"while":[131],"requiring":[132],"surprisingly":[133],"fewer":[134],"iterations":[135],"other":[137],"approaches.":[139]},"counts_by_year":[],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2026-03-24T00:00:00"}
