{"id":"https://openalex.org/W4372340959","doi":"https://doi.org/10.1109/icassp49357.2023.10096912","title":"History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt","display_name":"History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372340959","doi":"https://doi.org/10.1109/icassp49357.2023.10096912"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096912","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101657863","display_name":"Yihe Wang","orcid":"https://orcid.org/0009-0000-5220-5452"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]},{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN","SE"],"is_corresponding":true,"raw_author_name":"Yihe Wang","raw_affiliation_strings":["Noah’s Ark Lab,Huawei","Wuhan University,School of Computer Science","School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]},{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413875","display_name":"Yitong Li","orcid":"https://orcid.org/0000-0002-6753-6227"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]},{"id":"https://openalex.org/I4210160618","display_name":"Huawei Technologies (United Kingdom)","ror":"https://ror.org/056gzgs71","country_code":"GB","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210160618"]}],"countries":["GB","SE"],"is_corresponding":false,"raw_author_name":"Yitong Li","raw_affiliation_strings":["Noah’s Ark Lab,Huawei","Huawei Technologies Ltd"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]},{"raw_affiliation_string":"Huawei Technologies Ltd","institution_ids":["https://openalex.org/I4210160618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592503","display_name":"Yasheng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["CN","SE"],"is_corresponding":false,"raw_author_name":"Yasheng Wang","raw_affiliation_strings":["Noah’s Ark Lab,Huawei","Wuhan University,School of Computer Science"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]},{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012014905","display_name":"Fei Mi","orcid":"https://orcid.org/0000-0001-6358-9922"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Fei Mi","raw_affiliation_strings":["Noah’s Ark Lab,Huawei"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002355321","display_name":"Pingyi Zhou","orcid":"https://orcid.org/0000-0002-1305-7992"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Pingyi Zhou","raw_affiliation_strings":["Noah’s Ark Lab,Huawei"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642607","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["Wuhan University,School of Computer Science","School of Computer Science, Wuhan University"],"affiliations":[{"raw_affiliation_string":"Wuhan University,School of Computer Science","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086603207","display_name":"Xin Jiang","orcid":"https://orcid.org/0000-0002-9117-8247"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Xin Jiang","raw_affiliation_strings":["Noah’s Ark Lab,Huawei"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100426170","display_name":"Qun Liu","orcid":"https://orcid.org/0000-0002-7000-1792"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Qun Liu","raw_affiliation_strings":["Noah’s Ark Lab,Huawei"],"affiliations":[{"raw_affiliation_string":"Noah’s Ark Lab,Huawei","institution_ids":["https://openalex.org/I4210159102"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101657863"],"corresponding_institution_ids":["https://openalex.org/I37461747","https://openalex.org/I4210159102"],"apc_list":null,"apc_paid":null,"fwci":0.5245,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69761268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T12031","display_name":"Speech and dialogue systems","score":0.9991999864578247,"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":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.8221397399902344},{"id":"https://openalex.org/keywords/futures-contract","display_name":"Futures contract","score":0.784935474395752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6160305142402649},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.56095951795578},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.442007452249527},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.41799306869506836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.057933688163757324}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8221397399902344},{"id":"https://openalex.org/C106306483","wikidata":"https://www.wikidata.org/wiki/Q183984","display_name":"Futures contract","level":2,"score":0.784935474395752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6160305142402649},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.56095951795578},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.442007452249527},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.41799306869506836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.057933688163757324},{"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096912","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10096912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2133012565","https://openalex.org/W2891744372","https://openalex.org/W2936695845","https://openalex.org/W2988937804","https://openalex.org/W2997955173","https://openalex.org/W3105218667","https://openalex.org/W3155584966","https://openalex.org/W3174696767","https://openalex.org/W3176908654","https://openalex.org/W4205918858","https://openalex.org/W4226315989","https://openalex.org/W4226443186","https://openalex.org/W4285112296","https://openalex.org/W4285300946","https://openalex.org/W4287900772","https://openalex.org/W4292779060","https://openalex.org/W6745297980","https://openalex.org/W6761205521","https://openalex.org/W6769690604","https://openalex.org/W6772715161","https://openalex.org/W6776750061","https://openalex.org/W6778883912","https://openalex.org/W6780613280","https://openalex.org/W6809342625","https://openalex.org/W6809966243","https://openalex.org/W6810907547"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2497720472","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4292659306","https://openalex.org/W4364306694"],"abstract_inverted_index":{"Dialogue":[0],"history":[1,19,25,130],"and":[2,77,100,132],"response":[3],"in":[4],"open-domain":[5],"dialogue":[6,18,24,45,66],"are":[7],"loosely":[8],"coupled.":[9],"Generating":[10],"informative":[11,56,83],"responses":[12],"solely":[13],"based":[14],"on":[15,129],"the":[16,86],"original":[17],"is":[20],"not":[21,27],"easy,":[22],"as":[23],"may":[26,33],"contain":[28,34],"enough":[29],"information":[30],"or":[31,47,90],"it":[32,52],"irrelevant":[35],"noises.":[36],"Intuitively,":[37],"if":[38],"a":[39,63,112],"generation":[40,67],"model":[41,124],"can":[42,147],"foresee":[43],"possible":[44],"future,":[46],"obtain":[48,95,117],"real":[49],"useful":[50,75,96],"histories,":[51,97],"could":[53,125],"generate":[54,82,150],"more":[55],"responses.":[57,152],"In":[58],"this":[59],"paper,":[60],"we":[61,98,110],"propose":[62],"novel":[64],"lightweight":[65],"framework":[68],"named":[69],"few-shot":[70,136],"history-future":[71],"prompt":[72],"that":[73,122,144],"utilizes":[74],"histories":[76],"simulated":[78,119,133],"futures":[79,134],"to":[80,116,127],"help":[81,148],"responses,":[84],"without":[85],"need":[87],"for":[88],"fine-tuning":[89],"adding":[91],"extra":[92],"parameters.":[93],"To":[94],"retrieve":[99],"combine":[101],"relevant":[102],"utterances":[103],"from":[104],"noisy":[105],"multi-":[106],"turn":[107],"histories.":[108],"Then":[109],"adopt":[111],"retrieval-generation":[113],"hybrid":[114],"approach":[115],"diversified":[118],"futures.":[120],"Such":[121],"our":[123,145],"learn":[126],"condition":[128],"combinations":[131],"via":[135],"learning.":[137],"Experiments":[138],"over":[139],"publicly":[140],"available":[141],"datasets":[142],"demonstrate":[143],"method":[146],"models":[149],"better":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}