{"id":"https://openalex.org/W4411630260","doi":"https://doi.org/10.18653/v1/2024.eacl-long.89","title":"Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies","display_name":"Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4411630260","doi":"https://doi.org/10.18653/v1/2024.eacl-long.89"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2024.eacl-long.89","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-long.89","pdf_url":"https://aclanthology.org/2024.eacl-long.89.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":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2024.eacl-long.89.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006814826","display_name":"Yassir Fathullah","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Yassir Fathullah","raw_affiliation_strings":["ALTA Institute , Department of Engineering , University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute , Department of Engineering , University of Cambridge","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042321763","display_name":"Puria Radmard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Puria Radmard","raw_affiliation_strings":["ALTA Institute , Department of Engineering , University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute , Department of Engineering , University of Cambridge","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011907463","display_name":"Adian Liusie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Adian Liusie","raw_affiliation_strings":["ALTA Institute , Department of Engineering , University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute , Department of Engineering , University of Cambridge","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050766679","display_name":"Mark Gales","orcid":"https://orcid.org/0000-0002-5311-8219"},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Mark Gales","raw_affiliation_strings":["ALTA Institute , Department of Engineering , University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALTA Institute , Department of Engineering , University of Cambridge","institution_ids":["https://openalex.org/I4210096386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096386"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21523907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1478","last_page":"1496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9473999738693237,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9308000206947327,"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/sequence","display_name":"Sequence (biology)","score":0.6740177869796753},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6301994323730469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6064736247062683},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3576120138168335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20603421330451965},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11686012148857117}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6740177869796753},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6301994323730469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6064736247062683},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3576120138168335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20603421330451965},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11686012148857117},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2024.eacl-long.89","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-long.89","pdf_url":"https://aclanthology.org/2024.eacl-long.89.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":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2024.eacl-long.89","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2024.eacl-long.89","pdf_url":"https://aclanthology.org/2024.eacl-long.89.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":"Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.4099999964237213,"display_name":"Gender equality"}],"awards":[{"id":"https://openalex.org/G3941109507","display_name":null,"funder_award_id":"OPP1144","funder_id":"https://openalex.org/F4320323264","funder_display_name":"Gates Cambridge Trust"},{"id":"https://openalex.org/G5477836236","display_name":"Cambridge University Development Office in the United States Inc (CUDOUS) - to endow a global scholarship program at the post-baccalaureate level for academically gifted students","funder_award_id":"OPP1144","funder_id":"https://openalex.org/F4320306137","funder_display_name":"Bill and Melinda Gates Foundation"}],"funders":[{"id":"https://openalex.org/F4320306137","display_name":"Bill and Melinda Gates Foundation","ror":"https://ror.org/0456r8d26"},{"id":"https://openalex.org/F4320320273","display_name":"University of Cambridge","ror":"https://ror.org/013meh722"},{"id":"https://openalex.org/F4320321848","display_name":"Cambridge Trust","ror":"https://ror.org/05sprqy15"},{"id":"https://openalex.org/F4320323264","display_name":"Gates Cambridge Trust","ror":"https://ror.org/033sn5p83"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411630260.pdf","grobid_xml":"https://content.openalex.org/works/W4411630260.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W3093517588"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Sequence-to-sequence":[0],"models":[1,67],"often":[2],"require":[3],"an":[4],"expensive":[5,85],"autoregressive":[6,61],"decoding":[7,23,86],"process.However,":[8],"for":[9,101],"some":[10],"downstream":[11,126],"tasks":[12],"such":[13,35,117,128],"as":[14,118,129],"out-of-distribution":[15],"(OOD)":[16],"detection":[17],"and":[18,95,132],"resource":[19,133],"allocation,":[20],"the":[21,39,52,60,81,84],"actual":[22],"output":[24,44,53],"is":[25,55],"not":[26],"needed,":[27],"just":[28],"a":[29,42],"scalar":[30],"attribute":[31],"of":[32,41,114],"this":[33],"sequence.In":[34],"scenarios,":[36],"where":[37],"knowing":[38,51],"quality":[40],"system's":[43],"to":[45,58],"predict":[46,71,76],"poor":[47],"performance":[48,137],"prevails":[49],"over":[50],"itself,":[54],"it":[56],"possible":[57],"bypass":[59],"decoding?We":[62],"propose":[63],"Non-Autoregressive":[64],"Proxy":[65],"(NAP)":[66],"that":[68,139],"can":[69],"efficiently":[70],"scalar-valued":[72],"sequence-level":[73],"attributes.Importantly,":[74],"NAPs":[75,103,135],"these":[77],"metrics":[78,116],"directly":[79],"from":[80],"encodings,":[82],"avoiding":[83],"stage.We":[87],"consider":[88],"two":[89],"sequence":[90],"tasks:":[91],"Machine":[92],"Translation":[93],"(MT)":[94,120],"Automatic":[96],"Speech":[97],"Recognition":[98],"(ASR).In":[99],"OOD":[100],"MT,":[102],"outperform":[104,140],"ensembles":[105],"while":[106,143],"being":[107,144],"significantly":[108],"faster.NAPs":[109],"are":[110],"also":[111],"proven":[112],"capable":[113],"predicting":[115],"BERTScore":[119],"or":[121],"word":[122],"error":[123],"rate":[124],"(ASR).For":[125],"tasks,":[127],"data":[130],"filtering":[131],"optimization,":[134],"generate":[136],"predictions":[138],"predictive":[141],"uncertainty":[142],"highly":[145],"inference":[146],"efficient.":[147]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}