{"id":"https://openalex.org/W4412887835","doi":"https://doi.org/10.18653/v1/2025.findings-acl.912","title":"Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging","display_name":"Code-SPA: Style Preference Alignment to Large Language Models for Effective and Robust Code Debugging","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887835","doi":"https://doi.org/10.18653/v1/2025.findings-acl.912"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.912","pdf_url":"https://aclanthology.org/2025.findings-acl.912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.912.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tengfei Wen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tengfei Wen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071707350","display_name":"Xuanang Chen","orcid":"https://orcid.org/0000-0003-0377-8451"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuanang Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100969846","display_name":"Ben He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5021125158","display_name":"Le Sun","orcid":"https://orcid.org/0000-0003-2414-2022"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Le Sun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":"17730","last_page":"17743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9955999851226807,"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":0.9955999851226807,"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/T10260","display_name":"Software Engineering Research","score":0.995199978351593,"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9876000285148621,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.7976105213165283},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.7819195985794067},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.735527515411377},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6801502108573914},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5222347974777222},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4740433692932129},{"id":"https://openalex.org/keywords/unreachable-code","display_name":"Unreachable code","score":0.4672669470310211},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.43738624453544617},{"id":"https://openalex.org/keywords/code-generation","display_name":"Code generation","score":0.3067050576210022},{"id":"https://openalex.org/keywords/redundant-code","display_name":"Redundant code","score":0.2644299864768982},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12977802753448486},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06824657320976257},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.06653496623039246}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976105213165283},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.7819195985794067},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.735527515411377},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6801502108573914},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5222347974777222},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4740433692932129},{"id":"https://openalex.org/C50951305","wikidata":"https://www.wikidata.org/wiki/Q2482534","display_name":"Unreachable code","level":5,"score":0.4672669470310211},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.43738624453544617},{"id":"https://openalex.org/C133162039","wikidata":"https://www.wikidata.org/wiki/Q1061077","display_name":"Code generation","level":3,"score":0.3067050576210022},{"id":"https://openalex.org/C151578736","wikidata":"https://www.wikidata.org/wiki/Q1251793","display_name":"Redundant code","level":4,"score":0.2644299864768982},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12977802753448486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06824657320976257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.06653496623039246},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.912","pdf_url":"https://aclanthology.org/2025.findings-acl.912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.912","pdf_url":"https://aclanthology.org/2025.findings-acl.912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7398645837","display_name":null,"funder_award_id":"62272439","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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887835.pdf","grobid_xml":"https://content.openalex.org/works/W4412887835.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W116913286","https://openalex.org/W632311702","https://openalex.org/W2123574549","https://openalex.org/W4253804737","https://openalex.org/W1777501891","https://openalex.org/W2563645043","https://openalex.org/W2369241479","https://openalex.org/W1493727516","https://openalex.org/W2160620982","https://openalex.org/W4232768799"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"have":[4],"demonstrated":[5],"impressive":[6],"capabilities":[7],"in":[8],"coding":[9,102],"tasks":[10],"like":[11],"code":[12,16,46,51,83,112,126,145],"generation":[13],"and":[14,35,53,119,137,143,150],"debugging.However,":[15],"from":[17,104],"real-world":[18],"users":[19],"is":[20],"often":[21],"poorly":[22,44,142],"styled,":[23],"containing":[24],"various":[25],"types":[26,49],"of":[27,50,60,94,134],"noise,":[28],"such":[29,67],"as":[30],"structural":[31],"inconsistencies,":[32],"stylistic":[33,95],"deviations":[34],"flawed":[36],"test":[37],"cases.To":[38],"investigate":[39],"this,":[40,71],"we":[41,72],"first":[42],"simulate":[43],"styled":[45],"using":[47],"eight":[48],"perturbations,":[52],"then":[54,108],"demonstrate":[55],"that":[56],"the":[57,85,92,99,110,125,131,147],"debugging":[58,76,132],"performance":[59,133],"existing":[61],"LLM-based":[62],"methods":[63],"significantly":[64],"declines":[65],"on":[66,140],"inputs.Furthermore,":[68],"to":[69,89],"address":[70],"propose":[73],"a":[74,105],"novel":[75],"method":[77],"called":[78],"Code-SPA,":[79],"which":[80],"aligns":[81],"noisy":[82],"with":[84],"well-structured":[86],"style":[87,103,127],"familiar":[88],"LLMs,":[90],"mitigating":[91],"impact":[93],"inconsistencies.Specifically,":[96],"Code-SPA":[97,129],"extracts":[98],"model's":[100],"preferred":[101],"reference":[106],"snippet,":[107],"adjusts":[109],"input":[111],"by":[113],"Concrete":[114],"Syntax":[115],"Tree":[116],"(CST)-based":[117],"transformations":[118],"LLM-assisted":[120],"refinements":[121],"before":[122],"debugging.By":[123],"aligning":[124],"preference,":[128],"enhances":[130],"both":[135,141],"code-specific":[136],"general-purpose":[138],"LLMs":[139],"well-styled":[144],"across":[146],"HumanEval,":[148],"MBPP":[149],"EvalPlus":[151],"datasets.":[152]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
