{"id":"https://openalex.org/W4372189489","doi":"https://doi.org/10.1109/icassp49357.2023.10097146","title":"Learning to Build Reasoning Chains by Reliable Path Retrieval","display_name":"Learning to Build Reasoning Chains by Reliable Path Retrieval","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372189489","doi":"https://doi.org/10.1109/icassp49357.2023.10097146"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097146","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/A5101924962","display_name":"Minjun Zhu","orcid":"https://orcid.org/0000-0002-1917-9456"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minjun Zhu","raw_affiliation_strings":["Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052553582","display_name":"Yixuan Weng","orcid":"https://orcid.org/0000-0002-9720-8689"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Weng","raw_affiliation_strings":["Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043842349","display_name":"Shizhu He","orcid":"https://orcid.org/0000-0001-9053-9517"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shizhu He","raw_affiliation_strings":["Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038231231","display_name":"Cunguang Wang","orcid":"https://orcid.org/0000-0002-5532-1931"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cunguang Wang","raw_affiliation_strings":["Meituan,China","Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan,China","institution_ids":[]},{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389900","display_name":"Kang Liu","orcid":"https://orcid.org/0000-0002-6083-8433"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kang Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences","institution_ids":["https://openalex.org/I4210112150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767107","display_name":"Li Cai","orcid":"https://orcid.org/0000-0003-0021-5442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li Cai","raw_affiliation_strings":["Meituan,China","Meituan, China"],"affiliations":[{"raw_affiliation_string":"Meituan,China","institution_ids":[]},{"raw_affiliation_string":"Meituan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100358009","display_name":"Jun Zhao","orcid":"https://orcid.org/0000-0002-3573-152X"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhao","raw_affiliation_strings":["Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy Sciences,National Laboratory of Pattern Recognition","institution_ids":["https://openalex.org/I4210112150"]},{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy Sciences","institution_ids":["https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101924962"],"corresponding_institution_ids":["https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.3497,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63026205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9980000257492065,"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":0.9973999857902527,"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":0.8345012068748474},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6876275539398193},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6511573195457458},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5969605445861816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5731483697891235},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5579057335853577},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.517577052116394},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4982621669769287},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.49184393882751465},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33989614248275757},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09838268160820007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8345012068748474},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6876275539398193},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6511573195457458},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5969605445861816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5731483697891235},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5579057335853577},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.517577052116394},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4982621669769287},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.49184393882751465},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33989614248275757},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09838268160820007},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10097146","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":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"},{"id":"https://openalex.org/F4320335892","display_name":"Youth Innovation Promotion Association","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1565229770","https://openalex.org/W2064675550","https://openalex.org/W2121949863","https://openalex.org/W2194775991","https://openalex.org/W2889787757","https://openalex.org/W2908510526","https://openalex.org/W2962985038","https://openalex.org/W2963339397","https://openalex.org/W2963748441","https://openalex.org/W2970139579","https://openalex.org/W2990928880","https://openalex.org/W3099700870","https://openalex.org/W3115021520","https://openalex.org/W3125238517","https://openalex.org/W3176229980","https://openalex.org/W4285120780","https://openalex.org/W4324119593","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6757817989","https://openalex.org/W6770949304","https://openalex.org/W6784180246"],"related_works":["https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2349927912","https://openalex.org/W2360644719","https://openalex.org/W2385471969"],"abstract_inverted_index":{"Question":[0],"answering":[1],"(QA)":[2],"systems":[3],"have":[4],"long":[5],"pursued":[6],"the":[7,125],"ability":[8],"to":[9,63,78],"reason":[10],"over":[11],"explicit":[12,35],"knowledge":[13,19],"credibly.":[14],"Recent":[15],"work":[16],"has":[17],"incorporated":[18],"into":[20],"fine-grained":[21],"sentences":[22],"and":[23,30,90,111,119],"constructed":[24],"natural":[25],"language":[26],"database":[27],"(NLDB)":[28],"task,":[29],"conducts":[31],"complex":[32],"QA":[33],"with":[34],"reasoning":[36,88],"chains.":[37],"Existing":[38],"models":[39,52,87],"focus":[40],"on":[41,106,116],"retrieving":[42],"evidence":[43,67,82,108],"by":[44],"combining":[45],"multiple":[46],"modules":[47],"or":[48],"discretely.":[49],"However,":[50],"these":[51],"ignore":[53],"utilizing":[54],"path":[55],"information":[56],"(e.g.":[57],"sentence":[58],"order),":[59],"which":[60],"is":[61],"proven":[62],"be":[64],"important":[65],"for":[66],"retrievers.":[68],"In":[69],"this":[70],"work,":[71],"we":[72],"propose":[73],"a":[74],"ReliAble":[75],"Path-retrieval":[76],"(RAP)":[77],"generate":[79],"varying":[80],"length":[81],"chains":[83,89],"iteratively.":[84],"It":[85],"comprehensively":[86],"introduces":[91],"loss":[92],"from":[93],"two":[94],"views.":[95],"The":[96],"experimental":[97],"results":[98],"show":[99],"that":[100],"our":[101],"model":[102],"demonstrates":[103],"state-of-the-art":[104],"performance":[105],"both":[107],"chain":[109],"retrieval":[110,122],"question-answering":[112],"tasks.":[113],"Additional":[114],"experiments":[115],"sequential":[117,120],"supervised":[118],"unsupervised":[121],"fully":[123],"indicate":[124],"significance":[126],"of":[127],"RAP.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
