{"id":"https://openalex.org/W7172030913","doi":"https://doi.org/10.1145/3774521.3774523","title":"ReviewGuard: Context-Aware Detection of AI-Generated Text in Academic Peer Reviews","display_name":"ReviewGuard: Context-Aware Detection of AI-Generated Text in Academic Peer Reviews","publication_year":2025,"publication_date":"2025-12-17","ids":{"openalex":"https://openalex.org/W7172030913","doi":"https://doi.org/10.1145/3774521.3774523"},"language":null,"primary_location":{"id":"doi:10.1145/3774521.3774523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774523","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774521.3774523","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049434887","display_name":"Samarth Garg","orcid":null},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samarth Garg","raw_affiliation_strings":["ABV-IIITM Gwalior, Gwalior, Madhya Pradesh, India"],"raw_orcid":"https://orcid.org/0009-0000-4329-4799","affiliations":[{"raw_affiliation_string":"ABV-IIITM Gwalior, Gwalior, Madhya Pradesh, India","institution_ids":["https://openalex.org/I9747756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047080690","display_name":"Debanjan Sadhya","orcid":"https://orcid.org/0000-0002-9989-3464"},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Debanjan Sadhya","raw_affiliation_strings":["ABV-IIITM Gwalior, Gwalior, MP, India"],"raw_orcid":"https://orcid.org/0000-0002-9989-3464","affiliations":[{"raw_affiliation_string":"ABV-IIITM Gwalior, Gwalior, MP, India","institution_ids":["https://openalex.org/I9747756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645845","display_name":"Sunil Kumar","orcid":"https://orcid.org/0000-0002-9868-7925"},"institutions":[{"id":"https://openalex.org/I9747756","display_name":"Atal Bihari Vajpayee Indian Institute of Information Technology and Management","ror":"https://ror.org/008b3ap06","country_code":"IN","type":"education","lineage":["https://openalex.org/I9747756"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunil Kumar","raw_affiliation_strings":["ABV-IIITM Gwalior, Gwalior, Madhya Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-9868-7925","affiliations":[{"raw_affiliation_string":"ABV-IIITM Gwalior, Gwalior, Madhya Pradesh, India","institution_ids":["https://openalex.org/I9747756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9747756"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5896999835968018},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5479999780654907},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5199999809265137},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4724999964237213},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4569999873638153},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42730000615119934},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.3736000061035156},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.3675000071525574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588000297546387},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5896999835968018},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5825999975204468},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5519999861717224},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5479999780654907},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5199999809265137},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4724999964237213},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4569999873638153},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4259999990463257},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3736000061035156},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.3675000071525574},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3070000112056732},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780907237","wikidata":"https://www.wikidata.org/wiki/Q2986238","display_name":"Plagiarism detection","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C534932454","wikidata":"https://www.wikidata.org/wiki/Q161410","display_name":"Peer-to-peer","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774521.3774523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774523","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774521.3774523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774521.3774523","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2951080837","https://openalex.org/W4241559800","https://openalex.org/W4389520029","https://openalex.org/W4391136507","https://openalex.org/W4402671579","https://openalex.org/W7133226986"],"related_works":[],"abstract_inverted_index":{"The":[0,35,112,180],"proliferation":[1],"of":[2,14,22,56,80,114,163,178],"Large":[3],"Language":[4],"Models":[5],"(LLMs)":[6],"in":[7],"academic":[8,72],"writing":[9],"has":[10],"complicated":[11],"the":[12,23,109,115,123,130,134],"task":[13],"distinguishing":[15],"AI-generated":[16,40],"content":[17,41],"from":[18,97],"human-authored":[19],"text.":[20],"One":[21],"most":[24],"critical":[25],"areas":[26],"where":[27],"this":[28],"distinction":[29],"is":[30,32,54,119,186],"crucial":[31],"peer":[33,57,73,151],"reviews.":[34],"existing":[36],"detection":[37,67],"methods":[38],"for":[39,71],"are":[42],"frequently":[43],"ineffective":[44],"when":[45],"confronted":[46],"with":[47,159],"short,":[48],"paraphrased":[49],"or":[50],"technical":[51],"texts,":[52],"which":[53],"characteristic":[55],"review":[58,74,83,117],"comments.":[59],"This":[60],"paper":[61],"introduces":[62],"ReviewGuard,":[63],"a":[64,78,102,140],"novel":[65],"context-aware":[66],"framework":[68],"specifically":[69],"tailored":[70],"settings.":[75],"ReviewGuard":[76,155,167],"performs":[77],"sequence":[79],"tasks:":[81],"segmenting":[82],"comments":[84],"into":[85],"observable":[86],"left":[87],"segments":[88],"and":[89,100,126,133,146],"hidden":[90,110,136],"tails,":[91],"retrieving":[92],"semantically":[93],"relevant":[94],"contextual":[95],"excerpts":[96],"source":[98],"manuscripts,":[99],"employing":[101],"large":[103],"language":[104],"model":[105],"(LLM)":[106],"to":[107],"reconstruct":[108],"tail.":[111,137],"authenticity":[113],"original":[116,135],"segment":[118],"evaluated":[120],"by":[121],"analyzing":[122],"semantic":[124],"similarity":[125],"edit":[127],"distance":[128],"between":[129],"reconstructed":[131],"tail":[132],"Evaluation":[138],"over":[139],"benchmark":[141],"dataset":[142],"comprising":[143],"parallel":[144],"human":[145],"gemini-1.5-flash-002":[147],"generated":[148],"NeurIPS":[149,181],"2022":[150],"reviews":[152],"demonstrates":[153],"that":[154],"achieves":[156],"state-of-the-art":[157],"performance,":[158],"an":[160,175],"F1":[161,176],"score":[162,177],"0.8951.":[164],"In":[165],"addition,":[166],"exhibits":[168],"robustness":[169],"against":[170],"adversarial":[171],"paraphrasing":[172],"while":[173],"maintaining":[174],"0.7571.":[179],"Review":[182],"Authenticity":[183],"Dataset":[184],"(NRAD)":[185],"available":[187],"at":[188],"https://github.com/SamarthGarg09/ReviewGuard.":[189]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2026-08-01T00:00:00"}