{"id":"https://openalex.org/W4406417526","doi":"https://doi.org/10.1109/ic3i61595.2024.10829231","title":"Leveraging Transformer Networks for Enhanced Conversational AI","display_name":"Leveraging Transformer Networks for Enhanced Conversational AI","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417526","doi":"https://doi.org/10.1109/ic3i61595.2024.10829231"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10829231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5115894568","display_name":"Vivek Behl","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086299","display_name":"Noida International University","ror":"https://ror.org/001amd982","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210086299"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vivek Behl","raw_affiliation_strings":["Noida International University,Department of Computer Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Noida International University,Department of Computer Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I4210086299"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076630559","display_name":"Vimal Bibhu","orcid":"https://orcid.org/0000-0003-4456-0512"},"institutions":[{"id":"https://openalex.org/I4210086299","display_name":"Noida International University","ror":"https://ror.org/001amd982","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210086299"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vimal Bibhu","raw_affiliation_strings":["Noida International University,Department of Computer Science and Engineering,Greater Noida,Uttar Pradesh,India"],"affiliations":[{"raw_affiliation_string":"Noida International University,Department of Computer Science and Engineering,Greater Noida,Uttar Pradesh,India","institution_ids":["https://openalex.org/I4210086299"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5115894568"],"corresponding_institution_ids":["https://openalex.org/I4210086299"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23669597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"937","last_page":"943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9983999729156494,"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/T12031","display_name":"Speech and dialogue systems","score":0.9983999729156494,"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":0.9980000257492065,"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":0.9947999715805054,"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":0.7143068313598633},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6431103944778442},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.24723747372627258},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14608725905418396},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.13879171013832092}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143068313598633},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6431103944778442},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.24723747372627258},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14608725905418396},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.13879171013832092}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10829231","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10829231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2169818249","https://openalex.org/W2275716005","https://openalex.org/W2885195348","https://openalex.org/W2895082624","https://openalex.org/W2951464228","https://openalex.org/W2964309167","https://openalex.org/W2990138404","https://openalex.org/W3035245013","https://openalex.org/W3094833381","https://openalex.org/W3144293453","https://openalex.org/W3191181235","https://openalex.org/W3209067643","https://openalex.org/W4287900772","https://openalex.org/W4293434151","https://openalex.org/W4298197591","https://openalex.org/W4306955484","https://openalex.org/W4360979863","https://openalex.org/W4385973406","https://openalex.org/W4387067929","https://openalex.org/W4391156274","https://openalex.org/W4405220340","https://openalex.org/W6732160842","https://openalex.org/W6739901393","https://openalex.org/W6751633227","https://openalex.org/W6752136759","https://openalex.org/W6772715161","https://openalex.org/W6779277177","https://openalex.org/W6785170993","https://openalex.org/W6851013863"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"comprehensive":[4],"study":[5,123],"on":[6],"leveraging":[7],"transformer":[8,39],"networks":[9],"for":[10,138],"enhanced":[11],"conversational":[12,118],"AI,":[13],"show":[14],"casing":[15],"their":[16],"superiority":[17],"over":[18],"traditional":[19,131],"models":[20,133],"such":[21],"as":[22],"LSTM,":[23],"GRU,":[24],"and":[25,36,48,75,92,99,104,134,148],"GRU":[26,69],"BiRNN":[27,70],"decoders.":[28],"The":[29,80],"architectural":[30],"enhancement,":[31],"improvement":[32],"by":[33,42,53,67,96,109],"RBF":[34],"kernel":[35],"the":[37,43,68,110,125,136],"proposed":[38],"model":[40],"used":[41],"OpenSubtitles":[44],"2018":[45],"dataset,":[46],"contextually":[47],"legibly":[49],"suitable":[50],"replies":[51],"generated":[52],"significant":[54],"advancements.":[55],"Critical":[56],"developments":[57],"demonstrate":[58],"incomprehension":[59],"of":[60,117],"4.58,":[61],"appreciably":[62],"descending":[63],"from":[64],"7.568":[65],"earned":[66],"decipherer":[71],"with":[72],"ELU":[73],"activation,":[74],"training":[76,86],"time":[77],"diminishing":[78],"substantially.":[79],"prototype\u2019s":[81],"Sparse":[82],"Categorical":[83],"Cross-Entropy":[84],"(SCCE)":[85],"costs":[87],"are":[88,107,114],"Streamlined":[89],"to":[90,129],"0.14":[91],"0.192,":[93],"appropriately.":[94],"Proved":[95],"its":[97],"originality":[98],"efficacity,":[100],"both":[101],"acoustic-aware":[102],"modes":[103,106],"textual":[105],"handled":[108],"system":[111],"effectively.":[112],"There":[113],"different":[115],"types":[116],"AI":[119],"applications,":[120],"but":[121],"this":[122],"indicates":[124],"potential":[126],"transformer-based":[127],"architectures":[128],"surpass":[130],"RNN-based":[132],"clear":[135],"way":[137],"upcoming":[139],"improvements":[140],"concerning":[141],"real-time":[142],"adaptive":[143],"learning,":[144],"personalized":[145],"user":[146],"interactions,":[147],"multimodal":[149],"inputs.":[150]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}