{"id":"https://openalex.org/W4412888503","doi":"https://doi.org/10.18653/v1/2025.findings-acl.496","title":"PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs","display_name":"PAP2PAT: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888503","doi":"https://doi.org/10.18653/v1/2025.findings-acl.496"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.496","pdf_url":"https://aclanthology.org/2025.findings-acl.496.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: ACL 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-acl.496.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093211904","display_name":"Valentin Knappich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentin Knappich","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067024917","display_name":"Anna H\u00e4tty","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anna H\u00e4tty","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058717031","display_name":"Simon Razniewski","orcid":"https://orcid.org/0000-0002-5410-218X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Razniewski","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029262106","display_name":"Annemarie Friedrich","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Annemarie Friedrich","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":2.5877,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92315355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"9524","last_page":"9554"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9049000144004822,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.9049000144004822,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8954334259033203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6309301257133484},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34460562467575073},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32751643657684326},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3228415846824646},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13888758420944214},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.06295064091682434}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8954334259033203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6309301257133484},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34460562467575073},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32751643657684326},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3228415846824646},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13888758420944214},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.06295064091682434}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.496","pdf_url":"https://aclanthology.org/2025.findings-acl.496.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: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.496","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.496","pdf_url":"https://aclanthology.org/2025.findings-acl.496.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: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888503.pdf","grobid_xml":"https://content.openalex.org/works/W4412888503.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/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699"],"abstract_inverted_index":{"Dealing":[0],"with":[1],"long":[2],"and":[3,26,83,124,162],"highly":[4],"complex":[5,100],"technical":[6,115],"text":[7],"is":[8],"a":[9,125],"challenge":[10],"for":[11,86],"Large":[12],"Language":[13],"Models":[14],"(LLMs),":[15],"which":[16,59],"still":[17,140],"have":[18],"to":[19,78,142,150,156],"unfold":[20],"their":[21],"potential":[22],"in":[23],"supporting":[24],"expensive":[25],"timeintensive":[27],"processes":[28],"like":[29],"patent":[30,50,52,67,87,102],"drafting.Within":[31],"patents,":[32],"the":[33,40,95,99,111,118,137,144],"description":[34],"constitutes":[35],"more":[36,151,157],"than":[37],"90%":[38],"of":[39,90,117,147],"document":[41],"on":[42,65],"average.Yet,":[43],"its":[44],"automatic":[45],"generation":[46,103,109],"remains":[47],"understudied.When":[48],"drafting":[49,88],"applications,":[51],"attorneys":[53],"typically":[54],"receive":[55],"invention":[56],"reports":[57],"(IRs),":[58],"are":[60],"usually":[61],"confidential,":[62],"hindering":[63],"research":[64,70,112],"LLM-supported":[66],"drafting.Often,":[68],"prepublication":[69],"papers":[71],"serve":[72],"as":[73,114],"IRs.We":[74],"leverage":[75,134],"this":[76],"duality":[77],"build":[79],"PAP2PAT,":[80],"an":[81],"open":[82],"realistic":[84],"benchmark":[85],"consisting":[89],"1.8k":[91],"patent-paper":[92],"pairs":[93],"describing":[94],"same":[96],"inventions.To":[97],"address":[98],"long-document":[101],"task,":[104],"we":[105],"propose":[106],"chunk-based":[107],"outline-guided":[108],"using":[110,122],"paper":[113],"specification":[116],"invention.Our":[119],"extensive":[120],"evaluation":[121],"PAP2PAT":[123],"human":[126],"case":[127],"study":[128],"show":[129],"that":[130],"LLMs":[131],"can":[132],"effectively":[133],"information":[135],"from":[136],"paper,":[138],"but":[139,154],"struggle":[141],"provide":[143],"necessary":[145],"level":[146],"detail.Finetuning":[148],"leads":[149],"patent-style":[152],"language,":[153],"also":[155],"hallucination.We":[158],"release":[159],"our":[160],"data":[161],"code":[163],"at":[164],"https://github.com/":[165],"boschresearch/Pap2Pat.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-11T18:08:03.149640","created_date":"2025-10-10T00:00:00"}