{"id":"https://openalex.org/W4385768115","doi":"https://doi.org/10.24963/ijcai.2023/570","title":"iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning","display_name":"iRe2f: Rethinking Effective Refinement in Language Structure Prediction via Efficient Iterative Retrospecting and Reasoning","publication_year":2023,"publication_date":"2023-08-01","ids":{"openalex":"https://openalex.org/W4385768115","doi":"https://doi.org/10.24963/ijcai.2023/570"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2023/570","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/570","pdf_url":"https://www.ijcai.org/proceedings/2023/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2023/0570.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002584135","display_name":"Zuchao Li","orcid":"https://orcid.org/0000-0003-0436-8446"},"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":"Zuchao Li","raw_affiliation_strings":["Hubei Luojia Laboratory, Wuhan 430072, P. R. China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","Hubei Luojia Laboratory, Wuhan 430072, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan 430072, P. R. China","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan 430072, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086299976","display_name":"Xingyi Guo","orcid":"https://orcid.org/0000-0001-5269-1294"},"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":"Xingyi Guo","raw_affiliation_strings":["National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001458884","display_name":"Letian Peng","orcid":"https://orcid.org/0000-0001-5039-3496"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Letian Peng","raw_affiliation_strings":["Computer Science and Engineering, University of California San Diego"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University of California San Diego","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024278302","display_name":"Lefei Zhang","orcid":"https://orcid.org/0000-0003-0542-2280"},"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":"Lefei Zhang","raw_affiliation_strings":["Hubei Luojia Laboratory, Wuhan 430072, P. R. China","National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","Hubei Luojia Laboratory, Wuhan 430072, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan 430072, P. R. China","institution_ids":[]},{"raw_affiliation_string":"National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]},{"raw_affiliation_string":"Hubei Luojia Laboratory, Wuhan 430072, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036050911","display_name":"Hai Zhao","orcid":"https://orcid.org/0000-0001-7290-0487"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5131","last_page":"5140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","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/T10181","display_name":"Natural Language Processing Techniques","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/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/T13629","display_name":"Text Readability and Simplification","score":0.9878000020980835,"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":0.8110952377319336},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.7228295803070068},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6840869784355164},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.663203239440918},{"id":"https://openalex.org/keywords/iterative-refinement","display_name":"Iterative refinement","score":0.5665041208267212},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.5102963447570801},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4634219706058502},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4461211860179901},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.44427749514579773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40894415974617004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3237025737762451},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21353968977928162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8110952377319336},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.7228295803070068},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6840869784355164},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.663203239440918},{"id":"https://openalex.org/C2779982483","wikidata":"https://www.wikidata.org/wiki/Q6094420","display_name":"Iterative refinement","level":2,"score":0.5665041208267212},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.5102963447570801},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4634219706058502},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4461211860179901},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.44427749514579773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40894415974617004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3237025737762451},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21353968977928162},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2023/570","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/570","pdf_url":"https://www.ijcai.org/proceedings/2023/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2023/570","is_oa":true,"landing_page_url":"http://dx.doi.org/10.24963/ijcai.2023/570","pdf_url":"https://www.ijcai.org/proceedings/2023/0570.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4399999976158142,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1009646696","display_name":null,"funder_award_id":"U1836222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2567398775","display_name":"\u9762\u5411\u5b64\u72ec\u75c7\u65e9\u671f\u8bca\u7597\u7684\u673a\u5668\u8f85\u52a9\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61733011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385768115.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1632114991","https://openalex.org/W2130391193","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2251237305","https://openalex.org/W2425667873","https://openalex.org/W2493916176","https://openalex.org/W2552110825","https://openalex.org/W2556468274","https://openalex.org/W2788405243","https://openalex.org/W2799072540","https://openalex.org/W2891602716","https://openalex.org/W2950299190","https://openalex.org/W2953316918","https://openalex.org/W2953359159","https://openalex.org/W2962731964","https://openalex.org/W2963021447","https://openalex.org/W2963106122","https://openalex.org/W2963370123","https://openalex.org/W2963435215","https://openalex.org/W2963724887","https://openalex.org/W2970194431","https://openalex.org/W2970626985","https://openalex.org/W2985835593","https://openalex.org/W3035058125","https://openalex.org/W3098295156","https://openalex.org/W3098383912","https://openalex.org/W3100841630","https://openalex.org/W3101095987","https://openalex.org/W3128933491","https://openalex.org/W3133551016","https://openalex.org/W3175666528","https://openalex.org/W3213720402","https://openalex.org/W4210333150","https://openalex.org/W4241738801","https://openalex.org/W4287643471","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W2022562732","https://openalex.org/W1495035728","https://openalex.org/W2498640783","https://openalex.org/W2026748623","https://openalex.org/W4387636010","https://openalex.org/W2758781407","https://openalex.org/W2034475059","https://openalex.org/W2528330837","https://openalex.org/W2170974505","https://openalex.org/W1965634431"],"abstract_inverted_index":{"Refinement":[0],"plays":[1],"a":[2,9,52,78,111,191,210],"critical":[3],"role":[4],"in":[5,70,158,170,213],"language":[6,22,45,95,194],"structure":[7,23,195],"prediction,":[8],"process":[10,84,129],"that":[11,199],"deals":[12],"with":[13,209],"complex":[14],"situations":[15],"such":[16],"as":[17,27,39,62],"structural":[18],"edge":[19],"interdependencies.":[20],"Since":[21],"prediction":[24,196],"usually":[25],"modeled":[26],"graph":[28,38,138,143,156,168],"parsing,":[29],"typical":[30],"refinement":[31,53,116,179],"methods":[32],"involve":[33],"taking":[34],"an":[35],"initial":[36,72],"parsing":[37,83,137],"input":[40,46,96],"and":[41,47,60,97,123,144,146,155],"refining":[42],"it":[43,63],"using":[44],"other":[48],"relevant":[49],"information.":[50],"Intuitively,":[51],"component,":[54],"i.e.,":[55],"refiner,":[56],"should":[57],"be":[58],"lightweight":[59,112],"efficient,":[61],"is":[64,163],"only":[65],"responsible":[66],"for":[67,105],"correcting":[68],"faults":[69],"the":[71,82,94,101,127,131,136,149,153,167,171,176,185],"graph.":[73,98,132],"However,":[74],"current":[75,206],"refiners":[76],"add":[77],"significant":[79,211],"burden":[80],"to":[81,86,151,184],"due":[85],"their":[87],"reliance":[88],"on":[89,93,120,130,140,166,190],"time-consuming":[90],"encoding-decoding":[91],"procedure":[92],"To":[99],"make":[100],"refiner":[102],"more":[103],"practical":[104],"real-world":[106],"applications,":[107],"this":[108],"paper":[109],"proposes":[110],"but":[113],"effective":[114],"iterative":[115,121],"framework,":[117],"iRe^2f,":[118],"based":[119,139,165],"retrospecting":[122],"reasoning":[124],"without":[125],"involving":[126],"re-encoding":[128],"iRe^2f":[133,174,200],"iteratively":[134],"refine":[135],"interaction":[141],"between":[142],"sequence":[145,154],"efficiently":[147],"learns":[148],"shortcut":[150,162],"update":[152],"representations":[157],"each":[159],"iteration.":[160,173],"The":[161],"calculated":[164],"representation":[169],"latest":[172],"reduces":[175],"number":[177],"of":[178,193],"parameters":[180],"by":[181],"90%":[182],"compared":[183],"previous":[186],"smallest":[187],"refiner.":[188],"Experiments":[189],"variety":[192],"tasks":[197],"show":[198],"performs":[201],"comparably":[202],"or":[203],"better":[204],"than":[205],"state-of-the-art":[207],"refiners,":[208],"increase":[212],"efficiency.":[214]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
