{"id":"https://openalex.org/W4391558635","doi":"https://doi.org/10.1145/3597503.3608134","title":"Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning","display_name":"Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning","publication_year":2024,"publication_date":"2024-02-06","ids":{"openalex":"https://openalex.org/W4391558635","doi":"https://doi.org/10.1145/3597503.3608134"},"language":"en","primary_location":{"id":"doi:10.1145/3597503.3608134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597503.3608134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 46th International Conference on Software Engineering","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/A5054383658","display_name":"Mingyang Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyang Geng","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081197883","display_name":"Shangwen Wang","orcid":"https://orcid.org/0000-0003-1469-2063"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangwen Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006729432","display_name":"Dezun Dong","orcid":"https://orcid.org/0000-0001-6243-8479"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezun Dong","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072541670","display_name":"Haotian Wang","orcid":"https://orcid.org/0000-0003-2928-5575"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Wang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447682","display_name":"Ge Li","orcid":"https://orcid.org/0000-0002-5828-0186"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ge Li","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049100391","display_name":"Zhi Jin","orcid":"https://orcid.org/0000-0003-1087-226X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Jin","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080183182","display_name":"Xiaoguang Mao","orcid":"https://orcid.org/0000-0003-4204-7424"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoguang Mao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016036164","display_name":"Xiangke Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangke Liao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5054383658"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":90.4131,"has_fulltext":false,"cited_by_count":118,"citation_normalized_percentile":{"value":0.99978608,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10260","display_name":"Software Engineering Research","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9932000041007996,"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/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/snippet","display_name":"Snippet","score":0.8749393224716187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8196291923522949},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5150787234306335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48565757274627686},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45010775327682495},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4384036064147949},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41064295172691345},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3270629048347473},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2236415445804596}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.8749393224716187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8196291923522949},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5150787234306335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48565757274627686},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45010775327682495},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4384036064147949},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41064295172691345},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3270629048347473},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2236415445804596},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3597503.3608134","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597503.3608134","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 46th International Conference on Software Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3536056053","display_name":null,"funder_award_id":"2022YFB4501702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W2023925487","https://openalex.org/W2034209539","https://openalex.org/W2111909698","https://openalex.org/W2113610359","https://openalex.org/W2133333349","https://openalex.org/W2138756793","https://openalex.org/W2516621648","https://openalex.org/W2600463316","https://openalex.org/W2806718802","https://openalex.org/W2884276923","https://openalex.org/W2887364112","https://openalex.org/W2888557792","https://openalex.org/W2949297108","https://openalex.org/W2963341956","https://openalex.org/W2964194820","https://openalex.org/W3008733198","https://openalex.org/W3011632945","https://openalex.org/W3014339000","https://openalex.org/W3016234956","https://openalex.org/W3036685832","https://openalex.org/W3091730360","https://openalex.org/W3099636232","https://openalex.org/W3103748122","https://openalex.org/W3159616622","https://openalex.org/W3160804878","https://openalex.org/W3162893202","https://openalex.org/W3174589346","https://openalex.org/W3174885139","https://openalex.org/W3176776234","https://openalex.org/W3176913510","https://openalex.org/W3195727321","https://openalex.org/W3217290366","https://openalex.org/W4206238733","https://openalex.org/W4249122235","https://openalex.org/W4286386968","https://openalex.org/W4288055447","https://openalex.org/W4288057765","https://openalex.org/W4293211675","https://openalex.org/W4308642531","https://openalex.org/W4309023067","https://openalex.org/W4312300429","https://openalex.org/W4312970618","https://openalex.org/W4313563421","https://openalex.org/W4313563640","https://openalex.org/W4367672983","https://openalex.org/W4384159055"],"related_works":["https://openalex.org/W1607713096","https://openalex.org/W3036724449","https://openalex.org/W2798329462","https://openalex.org/W1511521437","https://openalex.org/W3201315194","https://openalex.org/W4318980730","https://openalex.org/W4226226396","https://openalex.org/W3153750606","https://openalex.org/W4308854837","https://openalex.org/W4312090193"],"abstract_inverted_index":{"Code":[0],"comment":[1,42,107,247],"generation":[2],"aims":[3],"at":[4],"generating":[5,207],"natural":[6,123],"language":[7,81,124],"descriptions":[8],"for":[9,22,28,138,218,225,242],"a":[10,23,26,34,201],"code":[11,35,61,103,156],"snippet":[12,62],"to":[13,47,65,84,116,185,245],"facilitate":[14],"developers'":[15,90,144],"program":[16],"comprehension":[17],"activities.":[18],"Despite":[19],"being":[20],"studied":[21],"long":[24],"time,":[25],"bottleneck":[27],"existing":[29],"approaches":[30],"is":[31,56,95],"that":[32,87,100,149,215],"given":[33],"snippet,":[36],"they":[37],"can":[38,88,152,198,229],"only":[39],"generate":[40,85],"one":[41],"while":[43],"developers":[44],"usually":[45,141],"need":[46],"know":[48],"information":[49],"from":[50,157],"diverse":[51,91],"perspectives":[52,159],"such":[53],"as":[54],"what":[55],"the":[57,76,98,102,111,118,122,132,139,150,155,161,170,177,186,196,220,227,232],"functionality":[58],"of":[59,78,114,172],"this":[60,70,72],"and":[63,104,125,128,181,222],"how":[64],"use":[66],"it.":[67],"To":[68],"tackle":[69],"limitation,":[71],"study":[73],"empirically":[74],"investigates":[75],"feasibility":[77],"utilizing":[79],"large":[80],"models":[82],"(LLMs)":[83],"comments":[86,130,208],"fulfill":[89],"intents.":[92,145,211],"Our":[93],"intuition":[94],"based":[96],"on":[97,165,206,238],"facts":[99],"(1)":[101],"its":[105],"pairwise":[106],"are":[108,136],"used":[109],"during":[110],"pre-training":[112],"process":[113],"LLMs":[115,151,244],"build":[117],"semantic":[119],"connection":[120],"between":[121],"programming":[126],"language,":[127],"(2)":[129],"in":[131],"real-world":[133],"projects,":[134],"which":[135,235],"collected":[137],"pre-training,":[140],"contain":[142],"different":[143,158],"We":[146],"thus":[147],"postulate":[148],"already":[153],"understand":[154],"after":[160],"pre-training.":[162],"Indeed,":[163],"experiments":[164],"two":[166],"large-scale":[167],"datasets":[168],"demonstrate":[169],"rationale":[171],"our":[173],"insights:":[174],"by":[175],"adopting":[176],"in-context":[178],"learning":[179,204],"paradigm":[180],"giving":[182],"adequate":[183],"prompts":[184,221],"LLM":[187,197],"(e.g.,":[188],"providing":[189],"it":[190],"with":[191,209],"ten":[192],"or":[193],"more":[194],"examples),":[195],"significantly":[199],"outperform":[200],"state-of-the-art":[202],"supervised":[203],"approach":[205],"multiple":[210],"Results":[212],"also":[213],"show":[214],"customized":[216],"strategies":[217,224],"constructing":[219],"post-processing":[223],"reranking":[226],"results":[228],"both":[230],"boost":[231],"LLM's":[233],"performances,":[234],"shed":[236],"light":[237],"future":[239],"research":[240],"directions":[241],"using":[243],"achieve":[246],"generation.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":72},{"year":2024,"cited_by_count":37},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}