{"id":"https://openalex.org/W7134131208","doi":"https://doi.org/10.1109/bigdata66926.2025.11400904","title":"Training and Reusing AI Agents for Data Exploration","display_name":"Training and Reusing AI Agents for Data Exploration","publication_year":2025,"publication_date":"2025-12-08","ids":{"openalex":"https://openalex.org/W7134131208","doi":"https://doi.org/10.1109/bigdata66926.2025.11400904"},"language":null,"primary_location":{"id":"doi:10.1109/bigdata66926.2025.11400904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11400904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","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/A5109055821","display_name":"Sihem Amer-Yahia","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sihem Amer-Yahia","raw_affiliation_strings":["Centre national de la recherche scientifique (CNRS)"],"affiliations":[{"raw_affiliation_string":"Centre national de la recherche scientifique (CNRS)","institution_ids":["https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109055821"],"corresponding_institution_ids":["https://openalex.org/I1294671590"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.88602526,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.164000004529953,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.164000004529953,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.06859999895095825,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.05480000004172325,"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/retraining","display_name":"Retraining","score":0.8288000226020813},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.6481999754905701},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5712000131607056},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5418999791145325},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.5412999987602234},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4754999876022339}],"concepts":[{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.8288000226020813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685000061988831},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6481999754905701},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5712000131607056},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5418999791145325},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.5412999987602234},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.4625999927520752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43630000948905945},{"id":"https://openalex.org/C137981799","wikidata":"https://www.wikidata.org/wiki/Q1369184","display_name":"Reusability","level":3,"score":0.41260001063346863},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C2779436431","wikidata":"https://www.wikidata.org/wiki/Q30672407","display_name":"Policy learning","level":2,"score":0.28780001401901245},{"id":"https://openalex.org/C168031717","wikidata":"https://www.wikidata.org/wiki/Q1530280","display_name":"Balance (ability)","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26930001378059387},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C2780735816","wikidata":"https://www.wikidata.org/wiki/Q28324931","display_name":"Incremental learning","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata66926.2025.11400904","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata66926.2025.11400904","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Data":[0],"Exploration":[1],"is":[2,22],"an":[3],"incremental":[4],"process":[5],"that":[6],"helps":[7],"users":[8],"express":[9],"what":[10],"they":[11],"want":[12],"through":[13],"a":[14,68,87],"conversation":[15],"with":[16],"the":[17,25,40,58],"data.":[18],"Reinforcement":[19],"Learning":[20],"(RL)":[21],"one":[23],"of":[24,42],"most":[26],"notable":[27],"approaches":[28],"to":[29,49,56,97],"automate":[30],"data":[31,73,109],"exploration":[32],"and":[33,46,85,91,105],"several":[34],"solutions":[35],"have":[36],"been":[37],"proposed.":[38],"With":[39],"advent":[41],"Large":[43],"Language":[44],"Models":[45],"their":[47],"ability":[48],"reason":[50],"sequentially,":[51],"it":[52],"has":[53],"become":[54],"legitimate":[55],"ask":[57],"question:":[59],"would":[60,77],"LLMs":[61,78],"and,":[62],"more":[63],"generally":[64],"AI":[65],"planning,":[66],"outperform":[67],"customized":[69],"RL":[70,103],"policy":[71,106],"in":[72],"exploration?":[74],"More":[75],"specifically,":[76],"help":[79],"circumvent":[80],"retraining":[81],"for":[82,108],"new":[83],"tasks":[84],"striking":[86],"balance":[88],"between":[89],"specificity":[90],"generality?":[92],"This":[93],"talk":[94],"will":[95],"attempt":[96],"answer":[98],"this":[99],"question":[100],"by":[101],"reviewing":[102],"training":[104],"reusability":[107],"exploration.":[110]},"counts_by_year":[],"updated_date":"2026-03-08T07:01:23.104601","created_date":"2026-03-08T00:00:00"}
