{"id":"https://openalex.org/W4411113225","doi":"https://doi.org/10.18653/v1/2025.findings-naacl.34","title":"Zero-Shot Strategies for Length-Controllable Summarization","display_name":"Zero-Shot Strategies for Length-Controllable Summarization","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411113225","doi":"https://doi.org/10.18653/v1/2025.findings-naacl.34"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-naacl.34","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-naacl.34","pdf_url":"https://aclanthology.org/2025.findings-naacl.34.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: NAACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-naacl.34.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092345202","display_name":"Fabian Retkowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabian Retkowski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023053982","display_name":"Alexander Waibel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Waibel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92622183,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"551","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9811000227928162,"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":0.9811000227928162,"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":0.9490000009536743,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9320999979972839,"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/automatic-summarization","display_name":"Automatic summarization","score":0.7413702011108398},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6797137260437012},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.5764355659484863},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5217245817184448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3236435055732727},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14821350574493408}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7413702011108398},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6797137260437012},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.5764355659484863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5217245817184448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3236435055732727},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14821350574493408},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-naacl.34","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-naacl.34","pdf_url":"https://aclanthology.org/2025.findings-naacl.34.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: NAACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-naacl.34","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-naacl.34","pdf_url":"https://aclanthology.org/2025.findings-naacl.34.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: NAACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411113225.pdf","grobid_xml":"https://content.openalex.org/works/W4411113225.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W2351187795"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"struggle":[4],"with":[5,33],"precise":[6,91],"length":[7,19,40,60,77,92],"control,":[8],"particularly":[9],"in":[10,39,76,114,130],"zero-shot":[11,88],"settings.We":[12],"conduct":[13],"a":[14,56],"comprehensive":[15],"study":[16],"evaluating":[17],"LLMs'":[18],"control":[20,93],"capabilities":[21],"across":[22,42],"multiple":[23],"measures":[24,43],"and":[25,44,66,126],"propose":[26],"practical":[27],"methods":[28],"to":[29],"improve":[30],"controllability.Our":[31],"experiments":[32],"LLaMA":[34],"3":[35],"reveal":[36],"stark":[37],"differences":[38],"adherence":[41],"highlight":[45],"inherent":[46],"biases":[47],"of":[48,58,111],"the":[49,95,121],"model.To":[50],"address":[51],"these":[52,70],"challenges,":[53],"we":[54,72,105],"introduce":[55],"set":[57],"methods:":[59],"approximation,":[61],"target":[62],"adjustment,":[63],"sample":[64],"filtering,":[65],"automated":[67],"revisions.By":[68],"combining":[69],"methods,":[71],"demonstrate":[73],"substantial":[74],"improvements":[75],"compliance":[78],"while":[79],"maintaining":[80],"or":[81,100],"enhancing":[82],"summary":[83],"quality,":[84],"providing":[85],"highly":[86],"effective":[87],"strategies":[89],"for":[90,97,123],"without":[94],"need":[96],"model":[98],"fine-tuning":[99],"architectural":[101],"changes.With":[102],"our":[103,109],"work,":[104],"not":[106],"only":[107],"advance":[108],"understanding":[110],"LLM":[112],"behavior":[113],"controlled":[115],"text":[116],"generation":[117],"but":[118],"also":[119],"pave":[120],"way":[122],"more":[124],"reliable":[125],"adaptable":[127],"summarization":[128],"systems":[129],"real-world":[131],"applications.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}