{"id":"https://openalex.org/W7150754974","doi":"https://doi.org/10.48550/arxiv.2604.03057","title":"Querying Structured Data Through Natural Language Using Language Models","display_name":"Querying Structured Data Through Natural Language Using Language Models","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150754974","doi":"https://doi.org/10.48550/arxiv.2604.03057"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.03057","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133037570","display_name":"Hontan Valentin-Micu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentin-Micu, Hontan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133015058","display_name":"Bunea Andrei-Alexandru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrei-Alexandru, Bunea","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133062895","display_name":"Tantaroudas Nikolaos Dimitrios","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dimitrios, Tantaroudas Nikolaos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133022308","display_name":"Popovici Dan-Matei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan-Matei, Popovici","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":1,"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":0.49410000443458557,"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":0.49410000443458557,"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":0.20739999413490295,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09359999746084213,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/domain","display_name":"Domain (mathematical analysis)","score":0.43799999356269836},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.4357999861240387},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.42010000348091125},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4174000024795532},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4072999954223633},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.40610000491142273},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.40209999680519104},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.3889000117778778},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.37770000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8686000108718872},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4627000093460083},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4174000024795532},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4072999954223633},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.40610000491142273},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.40209999680519104},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.37770000100135803},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.35589998960494995},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3495999872684479},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.3343000113964081},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.322299987077713},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.30720001459121704},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29339998960494995},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C2993776861","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Open domain","level":3,"score":0.2689000070095062},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C174252522","wikidata":"https://www.wikidata.org/wiki/Q3816772","display_name":"Natural language user interface","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.03057","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03057","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"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":{"This":[0],"paper":[1],"presents":[2],"an":[3,35],"open":[4],"source":[5],"methodology":[6,157,230],"for":[7,50,92,146,159,219,232],"allowing":[8],"users":[9],"to":[10,37,106,165,179,238],"query":[11,132,205],"structured":[12,30],"non":[13],"textual":[14],"datasets":[15],"through":[16],"natural":[17],"language":[18],"Unlike":[19],"Retrieval":[20],"Augmented":[21],"Generation":[22],"RAG":[23],"which":[24],"struggles":[25],"with":[26,84],"numerical":[27],"and":[28,65,122,130,163,195,203,236],"highly":[29],"information":[31],"our":[32,99,172],"approach":[33,100,173],"trains":[34],"LLM":[36],"generate":[38],"executable":[39],"queries":[40],"To":[41],"support":[42],"this":[43,147,156,220,229],"capability":[44],"we":[45],"introduce":[46],"a":[47,75,102,175],"principled":[48],"pipeline":[49],"synthetic":[51],"training":[52],"data":[53],"generation":[54,133,206],"producing":[55],"diverse":[56],"question":[57],"answer":[58],"pairs":[59],"that":[60,137,210],"capture":[61],"both":[62,127,200],"user":[63],"intent":[64],"the":[66,69,89],"semantics":[67],"of":[68],"underlying":[70],"dataset":[71,103,168,176,241],"We":[72,97,170],"fine":[73,113,186],"tune":[74],"compact":[76],"model":[77,115,188],"DeepSeek":[78],"R1":[79],"Distill":[80],"8B":[81],"using":[82],"QLoRA":[83],"4":[85],"bit":[86],"quantization":[87],"making":[88,155,228],"system":[90],"suitable":[91,158,231],"deployment":[93],"on":[94,101,151,174,224],"commodity":[95],"hardware":[96],"evaluate":[98,171],"describing":[104,177],"accessibility":[105,178],"essential":[107,180],"services":[108,181],"across":[109,119,182,192],"Durangaldea":[110,183],"Spain":[111,184],"The":[112,185],"tuned":[114,187],"achieves":[116,189],"high":[117,144,190,217],"accuracy":[118,191],"monolingual":[120,193],"multilingual":[121,194],"unseen":[123,196],"location":[124,197],"scenarios":[125,198],"demonstrating":[126,199],"robust":[128,201],"generalization":[129,202],"reliable":[131,204],"Our":[134,207],"results":[135,208],"highlight":[136,209],"small":[138,211],"domain":[139,212],"specific":[140,213],"models":[141,214],"can":[142,215],"achieve":[143,216],"precision":[145,218],"task":[148,221],"without":[149,222],"relying":[150,223],"large":[152,225],"proprietary":[153,226],"LLMs":[154,227],"resource":[160,233],"constrained":[161,234],"environments":[162,235],"adaptable":[164,237],"broader":[166,239],"multi":[167,240],"systems":[169],"systems.":[242]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-04-07T00:00:00"}
