{"id":"https://openalex.org/W4385859649","doi":"https://doi.org/10.1162/tacl_a_00583","title":"Conditional Generation with a Question-Answering Blueprint","display_name":"Conditional Generation with a Question-Answering Blueprint","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4385859649","doi":"https://doi.org/10.1162/tacl_a_00583"},"language":"en","primary_location":{"id":"doi:10.1162/tacl_a_00583","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00583","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00583/2154392/tacl_a_00583.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00583/2154392/tacl_a_00583.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081801388","display_name":"Shashi Narayan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shashi Narayan","raw_affiliation_strings":["Google DeepMind, UK. shashinarayan@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. shashinarayan@google.com","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021334672","display_name":"Joshua Maynez","orcid":"https://orcid.org/0000-0003-4948-2875"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Joshua Maynez","raw_affiliation_strings":["Google DeepMind, UK. joshuahm@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. joshuahm@google.com","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009993083","display_name":"Reinald Kim Amplayo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Reinald Kim Amplayo","raw_affiliation_strings":["Google DeepMind, UK. reinald@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. reinald@google.com","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081573359","display_name":"Kuzman Ganchev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kuzman Ganchev","raw_affiliation_strings":["Google DeepMind, UK. kuzman@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. kuzman@google.com","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112136402","display_name":"Annie Louis","orcid":"https://orcid.org/0000-0003-4226-252X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Annie Louis","raw_affiliation_strings":["Google Research. annielouis@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research. annielouis@google.com","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080734082","display_name":"Fantine Huot","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Fantine Huot","raw_affiliation_strings":["Google DeepMind, UK. fantinehuot@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. fantinehuot@google.com","institution_ids":["https://openalex.org/I4210113297"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013747683","display_name":"Anders Sandholm","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anders Sandholm","raw_affiliation_strings":["Google Research. sandholm@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Research. sandholm@google.com","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021055773","display_name":"Dipanjan Das","orcid":"https://orcid.org/0000-0003-2325-0646"},"institutions":[{"id":"https://openalex.org/I4210090411","display_name":"Google DeepMind (United Kingdom)","ror":"https://ror.org/00971b260","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210090411","https://openalex.org/I4210128969"]},{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Dipanjan Das","raw_affiliation_strings":["Google DeepMind, UK. dipanjand@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. dipanjand@google.com","institution_ids":["https://openalex.org/I4210090411","https://openalex.org/I4210113297"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041024491","display_name":"Mirella Lapata","orcid":"https://orcid.org/0000-0002-2107-1516"},"institutions":[{"id":"https://openalex.org/I4210113297","display_name":"Google (United Kingdom)","ror":"https://ror.org/024bc3e07","country_code":"GB","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210113297","https://openalex.org/I4210128969"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mirella Lapata","raw_affiliation_strings":["Google DeepMind, UK. lapata@google.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google DeepMind, UK. lapata@google.com","institution_ids":["https://openalex.org/I4210113297"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009993083","https://openalex.org/A5013747683","https://openalex.org/A5021055773","https://openalex.org/A5021334672","https://openalex.org/A5041024491","https://openalex.org/A5080734082","https://openalex.org/A5081573359","https://openalex.org/A5081801388","https://openalex.org/A5112136402"],"corresponding_institution_ids":["https://openalex.org/I1291425158","https://openalex.org/I4210090411","https://openalex.org/I4210113297"],"apc_list":null,"apc_paid":null,"fwci":2.5051,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.91197726,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"974","last_page":"996"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.8458675146102905},{"id":"https://openalex.org/keywords/blueprint","display_name":"Blueprint","score":0.8235893249511719},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6102575063705444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222854614257812},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.442132830619812},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.41879650950431824},{"id":"https://openalex.org/keywords/chunking","display_name":"Chunking (psychology)","score":0.41674843430519104},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4001563489437103},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3527287244796753}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8458675146102905},{"id":"https://openalex.org/C155911762","wikidata":"https://www.wikidata.org/wiki/Q422321","display_name":"Blueprint","level":2,"score":0.8235893249511719},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6102575063705444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222854614257812},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.442132830619812},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.41879650950431824},{"id":"https://openalex.org/C203357204","wikidata":"https://www.wikidata.org/wiki/Q1089605","display_name":"Chunking (psychology)","level":2,"score":0.41674843430519104},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4001563489437103},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3527287244796753},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1162/tacl_a_00583","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00583","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00583/2154392/tacl_a_00583.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:pure.ed.ac.uk:publications/495104ae-4a31-4df2-9a9f-f74a308415ce","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/495104ae-4a31-4df2-9a9f-f74a308415ce","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Narayan, S, Maynez, J, Amplayo, R K, Ganchev, K, Louis, A, Huot, F, Sandholm, A, Das, D & Lapata, M 2023, 'Conditional generation with a question-answering blueprint', Transactions of the Association for Computational Linguistics, vol. 11, pp. 974-996. https://doi.org/10.1162/tacl_a_00583","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:f8a276925972406791f8ca06dbf1a650","is_oa":true,"landing_page_url":"https://doaj.org/article/f8a276925972406791f8ca06dbf1a650","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Transactions of the Association for Computational Linguistics, Vol 11 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/tacl_a_00583","is_oa":true,"landing_page_url":"https://doi.org/10.1162/tacl_a_00583","pdf_url":"https://direct.mit.edu/tacl/article-pdf/doi/10.1162/tacl_a_00583/2154392/tacl_a_00583.pdf","source":{"id":"https://openalex.org/S2729999759","display_name":"Transactions of the Association for Computational Linguistics","issn_l":"2307-387X","issn":["2307-387X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Transactions of the Association for Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385859649.pdf"},"referenced_works_count":101,"referenced_works":["https://openalex.org/W1560265695","https://openalex.org/W1570031249","https://openalex.org/W1581670392","https://openalex.org/W2050277298","https://openalex.org/W2122530989","https://openalex.org/W2132623301","https://openalex.org/W2140676672","https://openalex.org/W2158847908","https://openalex.org/W2251199578","https://openalex.org/W2612690371","https://openalex.org/W2736472496","https://openalex.org/W2739046565","https://openalex.org/W2741375528","https://openalex.org/W2804778516","https://openalex.org/W2805421590","https://openalex.org/W2889009749","https://openalex.org/W2889518897","https://openalex.org/W2889688390","https://openalex.org/W2904008843","https://openalex.org/W2912924812","https://openalex.org/W2931018260","https://openalex.org/W2935206035","https://openalex.org/W2945760033","https://openalex.org/W2949849869","https://openalex.org/W2950397305","https://openalex.org/W2950670227","https://openalex.org/W2951211142","https://openalex.org/W2951835712","https://openalex.org/W2953259607","https://openalex.org/W2963323070","https://openalex.org/W2963385935","https://openalex.org/W2963592583","https://openalex.org/W2963748441","https://openalex.org/W2963968665","https://openalex.org/W2965373594","https://openalex.org/W2970892365","https://openalex.org/W2987607708","https://openalex.org/W2990138404","https://openalex.org/W2995606401","https://openalex.org/W3015468748","https://openalex.org/W3022685184","https://openalex.org/W3034188538","https://openalex.org/W3034383590","https://openalex.org/W3034850762","https://openalex.org/W3094041811","https://openalex.org/W3099766584","https://openalex.org/W3101693329","https://openalex.org/W3102654237","https://openalex.org/W3105725765","https://openalex.org/W3106234277","https://openalex.org/W3107647534","https://openalex.org/W3109862485","https://openalex.org/W3114980413","https://openalex.org/W3115433372","https://openalex.org/W3124386704","https://openalex.org/W3128651866","https://openalex.org/W3140419907","https://openalex.org/W3153603860","https://openalex.org/W3153947101","https://openalex.org/W3155147984","https://openalex.org/W3159259047","https://openalex.org/W3166398748","https://openalex.org/W3167303745","https://openalex.org/W3170083118","https://openalex.org/W3171639395","https://openalex.org/W3174073137","https://openalex.org/W3176170139","https://openalex.org/W3177303227","https://openalex.org/W3196696529","https://openalex.org/W3197149826","https://openalex.org/W3203807186","https://openalex.org/W3206387271","https://openalex.org/W3209920642","https://openalex.org/W3211624109","https://openalex.org/W3213555005","https://openalex.org/W4214717370","https://openalex.org/W4221150602","https://openalex.org/W4225727438","https://openalex.org/W4226302831","https://openalex.org/W4229017640","https://openalex.org/W4232693094","https://openalex.org/W4253368495","https://openalex.org/W4285240908","https://openalex.org/W4285271518","https://openalex.org/W4285283725","https://openalex.org/W4286879806","https://openalex.org/W4287854442","https://openalex.org/W4288089799","https://openalex.org/W4288091035","https://openalex.org/W4310918653","https://openalex.org/W4323654151","https://openalex.org/W4385573898","https://openalex.org/W4391156274","https://openalex.org/W6605057350","https://openalex.org/W6605265046","https://openalex.org/W6682150760","https://openalex.org/W6739901393","https://openalex.org/W6751996919","https://openalex.org/W6769627184","https://openalex.org/W6778989962","https://openalex.org/W6782465632"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W2091301346","https://openalex.org/W1517524280","https://openalex.org/W4389760904","https://openalex.org/W1599450222","https://openalex.org/W2090755435"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"ability":[2],"to":[3,32,92,158],"convey":[4],"relevant":[5],"and":[6,17,30,54,72,94,110,143,160],"faithful":[7],"information":[8],"is":[9],"critical":[10],"for":[11,21,48,77,87],"many":[12],"tasks":[13],"in":[14,97,123,129],"conditional":[15,50],"generation":[16,51,108,166],"yet":[18],"remains":[19],"elusive":[20],"neural":[22],"seq-to-seq":[23],"models":[24,148],"whose":[25],"outputs":[26],"often":[27],"reveal":[28],"hallucinations":[29],"fail":[31],"correctly":[33],"cover":[34],"important":[35],"details.":[36],"In":[37],"this":[38],"work,":[39],"we":[40],"advocate":[41],"planning":[42,95,159],"as":[43,65,84,134],"a":[44,59,66,80,85,135],"useful":[45],"intermediate":[46],"representation":[47],"rendering":[49],"less":[52],"opaque":[53],"more":[55,150],"grounded.":[56],"We":[57,100,117],"propose":[58],"new":[60],"conceptualization":[61],"of":[62,68,164],"text":[63],"plans":[64],"sequence":[67],"question-answer":[69],"(QA)":[70],"pairs":[71,113],"enhance":[73],"existing":[74],"datasets":[75,144],"(e.g.,":[76,133],"summarization)":[78],"with":[79],"QA":[81],"blueprint":[82,128,147],"operating":[83],"proxy":[86],"content":[88],"selection":[89],"(i.e.,":[90,96],"what":[91,98],"say)":[93],"order).":[99],"obtain":[101],"blueprints":[102],"automatically":[103],"by":[104],"exploiting":[105],"state-of-the-art":[106],"question":[107],"technology":[109],"convert":[111],"input-output":[112],"into":[114],"input-blueprint-output":[115],"tuples.":[116],"develop":[118],"Transformer-based":[119],"models,":[120],"each":[121],"varying":[122],"how":[124],"they":[125],"incorporate":[126],"the":[127,130,165],"generated":[131],"output":[132],"global":[136],"plan":[137],"or":[138],"iteratively).":[139],"Evaluation":[140],"across":[141],"metrics":[142],"demonstrates":[145],"that":[146],"are":[149],"factual":[151],"than":[152],"alternatives":[153],"which":[154],"do":[155],"not":[156],"resort":[157],"allow":[161],"tighter":[162],"control":[163],"output.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}