{"id":"https://openalex.org/W4401863440","doi":"https://doi.org/10.1145/3637528.3671537","title":"Xinyu: An Efficient LLM-based System for Commentary Generation","display_name":"Xinyu: An Efficient LLM-based System for Commentary Generation","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863440","doi":"https://doi.org/10.1145/3637528.3671537"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5053559333","display_name":"Yiquan Wu","orcid":"https://orcid.org/0009-0005-5366-5027"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiquan Wu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-5366-5027","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057816960","display_name":"Bo Tang","orcid":"https://orcid.org/0000-0001-7129-0250"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Tang","raw_affiliation_strings":["Institute for Advanced Algorithms Research, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7129-0250","affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058308218","display_name":"Chenyang Xi","orcid":"https://orcid.org/0000-0002-8211-2430"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyang Xi","raw_affiliation_strings":["Institute for Advanced Algorithms Research, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8211-2430","affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476709","display_name":"Yu Yu","orcid":"https://orcid.org/0000-0002-3109-7859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Yu","raw_affiliation_strings":["Institute for Advanced Algorithms Research, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3109-7859","affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024361029","display_name":"Pengyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Wang","raw_affiliation_strings":["Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0002-2637-621X","affiliations":[{"raw_affiliation_string":"Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352572","display_name":"Yifei Liu","orcid":"https://orcid.org/0009-0005-7427-0024"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-7427-0024","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041727387","display_name":"Kun Kuang","orcid":"https://orcid.org/0000-0001-7024-9790"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Kuang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7024-9790","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101499420","display_name":"Haiying Deng","orcid":"https://orcid.org/0000-0003-4242-9465"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiying Deng","raw_affiliation_strings":["State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-7821-7196","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113013369","display_name":"Zhiyu Li","orcid":"https://orcid.org/0000-0003-3771-0199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyu Li","raw_affiliation_strings":["Institute for Advanced Algorithms Research, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3771-0199","affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090294171","display_name":"Feiyu Xiong","orcid":"https://orcid.org/0000-0002-1456-2202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feiyu Xiong","raw_affiliation_strings":["Institute for Advanced Algorithms Research, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1456-2202","affiliations":[{"raw_affiliation_string":"Institute for Advanced Algorithms Research, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066864248","display_name":"Jie Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Hu","raw_affiliation_strings":["Research Institute of China Telecom, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9312-8430","affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peng Cheng","orcid":"https://orcid.org/0009-0009-2662-3453"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng Cheng","raw_affiliation_strings":["State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-2662-3453","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058995038","display_name":"Z. Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhonghao Wang","raw_affiliation_strings":["State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-1322-9886","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107340671","display_name":"Yi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Wang","raw_affiliation_strings":["State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-5971-5368","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112668222","display_name":"Luo Yi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Luo","raw_affiliation_strings":["State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-9156-7590","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Media Convergence Production Technology and Systems, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085862505","display_name":"Mingchuan Yang","orcid":"https://orcid.org/0000-0002-6747-9218"},"institutions":[{"id":"https://openalex.org/I4210136246","display_name":"China Telecom (China)","ror":"https://ror.org/03jgnzt20","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210136246"]},{"id":"https://openalex.org/I4387153335","display_name":"China Telecom","ror":"https://ror.org/05p67dv18","country_code":null,"type":"company","lineage":["https://openalex.org/I4387153335"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchuan Yang","raw_affiliation_strings":["Research Institute of China Telecom, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6747-9218","affiliations":[{"raw_affiliation_string":"Research Institute of China Telecom, Beijing, China","institution_ids":["https://openalex.org/I4210136246","https://openalex.org/I4387153335"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6003","last_page":"6014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9976999759674072,"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":0.5141492486000061}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5141492486000061}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671537","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W2101105183","https://openalex.org/W3099641295","https://openalex.org/W4312419686","https://openalex.org/W4313197536","https://openalex.org/W4322718191","https://openalex.org/W4361020491","https://openalex.org/W4377009978","https://openalex.org/W4377297670","https://openalex.org/W4378509387","https://openalex.org/W4382618722","https://openalex.org/W4382652828","https://openalex.org/W4384895072","https://openalex.org/W4385565351","https://openalex.org/W4385572499","https://openalex.org/W4386841255","https://openalex.org/W4386942328","https://openalex.org/W4386942538","https://openalex.org/W4387031608","https://openalex.org/W4387158222","https://openalex.org/W4388963460","https://openalex.org/W4389520468","https://openalex.org/W4389520758","https://openalex.org/W4389524187","https://openalex.org/W4389984066","https://openalex.org/W4402669697"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Commentary":[0],"provides":[1],"readers":[2],"with":[3,159,214],"a":[4,19,141,179,203,221],"deep":[5],"understanding":[6],"of":[7,34,156,196,209,241],"events":[8,148],"by":[9],"presenting":[10],"diverse":[11],"arguments":[12,80,138],"and":[13,68,72,81,119,139,149],"evidence.":[14,84],"However,":[15],"creating":[16,66,220],"commentary":[17,43,189,222],"is":[18],"time-consuming":[20],"task,":[21],"even":[22],"for":[23,123,137],"skilled":[24],"commentators.":[25],"Large":[26],"language":[27,36],"models":[28],"(LLMs)":[29],"have":[30],"simplified":[31],"the":[32,105,110,128,154,157,167,174,194,207,215,239,242],"process":[33,112],"natural":[35],"generation,":[37],"but":[38],"their":[39],"direct":[40],"application":[41],"in":[42,99,188,206,211,234],"creation":[44],"still":[45],"faces":[46],"challenges":[47],"due":[48],"to":[49,96,173,227],"unique":[50],"task":[51],"requirements.":[52],"These":[53],"requirements":[54],"can":[55],"be":[56],"categorized":[57],"into":[58,113],"two":[59],"levels:":[60],"1)":[61],"fundamental":[62,106],"requirements,":[63,75,107,130,176],"which":[64,76],"include":[65],"well-structured":[67],"logically":[69],"consistent":[70],"narratives,":[71],"2)":[73],"advanced":[74,129],"involve":[77],"generating":[78,100],"quality":[79,240],"providing":[82],"convincing":[83],"In":[85],"this":[86],"paper,":[87],"we":[88,108,131,177],"introduce":[89,178],"Xinyu,":[90],"an":[91,133,232],"efficient":[92],"LLM-based":[93],"system":[94],"designed":[95],"assist":[97],"commentators":[98,210],"Chinese":[101],"commentaries.":[102,243],"To":[103,126,165],"meet":[104],"deconstruct":[109],"generation":[111,162],"sequential":[114],"steps,":[115],"proposing":[116],"targeted":[117],"strategies":[118],"supervised":[120],"fine-tuning":[121],"(SFT)":[122],"each":[124],"step.":[125],"address":[127],"present":[132],"argument":[134],"ranking":[135],"model":[136],"establish":[140],"comprehensive":[142,180],"evidence":[143,158],"database":[144],"that":[145,183],"includes":[146],"up-to-date":[147],"classic":[150],"books,":[151],"thereby":[152],"strengthening":[153],"substantiation":[155],"retrieval":[160],"augmented":[161],"(RAG)":[163],"technology.":[164],"evaluate":[166],"generated":[168],"commentaries":[169],"more":[170],"fairly,":[171],"corresponding":[172],"two-level":[175],"evaluation":[181],"metric":[182],"considers":[184],"five":[185],"distinct":[186],"perspectives":[187],"generation.":[190],"Our":[191],"experiments":[192],"confirm":[193],"effectiveness":[195],"our":[197],"proposed":[198],"system.":[199],"We":[200],"also":[201],"observe":[202],"significant":[204],"increase":[205,233],"efficiency":[208,235],"real-world":[212],"scenarios,":[213],"average":[216],"time":[217],"spent":[218],"on":[219],"dropping":[223],"from":[224],"4":[225],"hours":[226],"20":[228],"minutes.":[229],"Importantly,":[230],"such":[231],"does":[236],"not":[237],"compromise":[238]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
