{"id":"https://openalex.org/W4417356709","doi":"https://doi.org/10.48550/arxiv.2506.10829","title":"LLM-Driven Personalized Answer Generation and Evaluation","display_name":"LLM-Driven Personalized Answer Generation and Evaluation","publication_year":2025,"publication_date":"2025-06-12","ids":{"openalex":"https://openalex.org/W4417356709","doi":"https://doi.org/10.48550/arxiv.2506.10829"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2506.10829","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10829","pdf_url":"https://arxiv.org/pdf/2506.10829","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.10829","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088242868","display_name":"Mohammadreza Molavi","orcid":"https://orcid.org/0009-0006-0423-0729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Molavi, Mohammadreza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039152693","display_name":"Mohammadreza Tavakoli","orcid":"https://orcid.org/0000-0002-7368-0794"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tavakoli, Mohammadreza","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103079095","display_name":"Mohammad Mahdi Moein","orcid":"https://orcid.org/0000-0002-3285-8226"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moein, Mohammad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086621280","display_name":"Abdolali Faraji","orcid":"https://orcid.org/0000-0002-3557-9345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Faraji, Abdolali","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5086312428","display_name":"G\u00e1bor Kismih\u00f3k","orcid":"https://orcid.org/0000-0003-3758-5455"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kismih\u00f3k, G\u00e1bor","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":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.2727000117301941,"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":0.2727000117301941,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.2037000060081482,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.16200000047683716,"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/personalization","display_name":"Personalization","score":0.8694999814033508},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.6485999822616577},{"id":"https://openalex.org/keywords/personalized-learning","display_name":"Personalized learning","score":0.6040999889373779},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5726000070571899},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.47870001196861267},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.3528999984264374}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8694999814033508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6942999958992004},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6485999822616577},{"id":"https://openalex.org/C142039133","wikidata":"https://www.wikidata.org/wiki/Q3620943","display_name":"Personalized learning","level":5,"score":0.6040999889373779},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5726000070571899},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.47870001196861267},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3799999952316284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3666999936103821},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.35030001401901245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3384000062942505},{"id":"https://openalex.org/C178823583","wikidata":"https://www.wikidata.org/wiki/Q3269883","display_name":"Online assessment","level":3,"score":0.3158000111579895},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.29269999265670776},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.2874999940395355}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2506.10829","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10829","pdf_url":"https://arxiv.org/pdf/2506.10829","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2506.10829","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2506.10829","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.10829","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.10829","pdf_url":"https://arxiv.org/pdf/2506.10829","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Online":[0],"learning":[1,25,96],"has":[2],"experienced":[3],"rapid":[4],"growth":[5],"due":[6],"to":[7,14,42,57,61,166,169],"its":[8],"flexibility":[9],"and":[10,67,97,103,123,139],"accessibility.":[11],"Personalization,":[12],"adapted":[13],"the":[15,24,50,69,75,88,155,163],"needs":[16],"of":[17,34,52,77,151],"individual":[18,170],"learners,":[19],"is":[20,36],"crucial":[21],"for":[22,106],"enhancing":[23,65],"experience,":[26],"particularly":[27],"in":[28,79,91],"online":[29],"settings.":[30],"A":[31],"key":[32],"aspect":[33],"personalization":[35],"providing":[37,147],"learners":[38],"with":[39,149],"answers":[40,60,116,128,153],"customized":[41],"their":[43],"specific":[44],"questions.":[45],"This":[46],"paper":[47],"therefore":[48],"explores":[49],"potential":[51],"Large":[53],"Language":[54],"Models":[55],"(LLMs)":[56],"generate":[58],"personalized":[59,110,115],"learners'":[62,171],"questions,":[63],"thereby":[64],"engagement":[66],"reducing":[68],"workload":[70],"on":[71],"educators.":[72],"To":[73],"evaluate":[74],"effectiveness":[76],"LLMs":[78,148],"this":[80],"context,":[81],"we":[82,113],"conducted":[83],"a":[84,101,104],"comprehensive":[85],"study":[86],"using":[87,117,131],"StackExchange":[89],"platform":[90],"two":[92],"distinct":[93],"areas:":[94],"language":[95],"programming.":[98],"We":[99],"developed":[100],"framework":[102],"dataset":[105],"validating":[107],"automatically":[108],"generated":[109,114,127],"answers.":[111],"Subsequently,":[112],"different":[118],"strategies,":[119],"including":[120],"0-shot,":[121],"1-shot,":[122],"few-shot":[124],"scenarios.":[125],"The":[126],"were":[129],"evaluated":[130],"three":[132],"methods:":[133],"1.":[134],"BERTScore,":[135],"2.":[136],"LLM":[137],"evaluation,":[138],"3.":[140],"human":[141],"evaluation.":[142],"Our":[143],"findings":[144],"indicated":[145],"that":[146],"examples":[150],"desired":[152],"(from":[154],"learner":[156],"or":[157],"similar":[158],"learners)":[159],"can":[160],"significantly":[161],"enhance":[162],"LLMs'":[164],"ability":[165],"tailor":[167],"responses":[168],"needs.":[172]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
