{"id":"https://openalex.org/W6941040450","doi":"https://doi.org/10.13016/owds-wmq4","title":"OUT OF DISTRIBUTION EVALUATION OF NATURAL LANGUAGE PROCESSING SYSTEMS: GENERALIZATION TO LOW-RESOURCE AND DISTANT LANGUAGES AND HUMAN-AI COLLABORATIVE WRITING","display_name":"OUT OF DISTRIBUTION EVALUATION OF NATURAL LANGUAGE PROCESSING SYSTEMS: GENERALIZATION TO LOW-RESOURCE AND DISTANT LANGUAGES AND HUMAN-AI COLLABORATIVE WRITING","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6941040450","doi":"https://doi.org/10.13016/owds-wmq4"},"language":"en","primary_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/33317","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/33317","pdf_url":"https://drum.lib.umd.edu/bitstreams/69696300-d0ff-4768-949b-609ca6e34676/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"type":"dissertation","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://drum.lib.umd.edu/bitstreams/69696300-d0ff-4768-949b-609ca6e34676/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Richburg, Aquia","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Richburg, Aquia","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":true,"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":true,"primary_topic":{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.5480999946594238,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10451","display_name":"Mycorrhizal Fungi and Plant Interactions","score":0.5480999946594238,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.10840000212192535,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10825","display_name":"Plant Pathogens and Fungal Diseases","score":0.04650000110268593,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6565999984741211},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5200999975204468},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5095999836921692},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.49779999256134033},{"id":"https://openalex.org/keywords/harm","display_name":"Harm","score":0.4251999855041504},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.39989998936653137},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6565999984741211},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6564000248908997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5932000279426575},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5625},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5200999975204468},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.49779999256134033},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.39989998936653137},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.35370001196861267},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.3124000132083893},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2847999930381775},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2581999897956848},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.25609999895095825},{"id":"https://openalex.org/C2776889888","wikidata":"https://www.wikidata.org/wiki/Q1135789","display_name":"Unintended consequences","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:drum.lib.umd.edu:1903/33317","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/33317","pdf_url":"https://drum.lib.umd.edu/bitstreams/69696300-d0ff-4768-949b-609ca6e34676/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},{"id":"doi:10.13016/owds-wmq4","is_oa":true,"landing_page_url":"https://doi.org/10.13016/owds-wmq4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402644","display_name":"Digital Repository at the University of Maryland (University of Maryland College Park)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"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":"Collection"}],"best_oa_location":{"id":"pmh:oai:drum.lib.umd.edu:1903/33317","is_oa":true,"landing_page_url":"http://hdl.handle.net/1903/33317","pdf_url":"https://drum.lib.umd.edu/bitstreams/69696300-d0ff-4768-949b-609ca6e34676/download","source":{"id":"https://openalex.org/S4306401518","display_name":"University Libraries (University of Maryland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66946132","host_organization_name":"University of Maryland, College Park","host_organization_lineage":["https://openalex.org/I66946132"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dissertation"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.847324788570404,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W6941040450.pdf","grobid_xml":"https://content.openalex.org/works/W6941040450.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,6,204,226],"models":[2,44,153,267],"have":[3,27],"revolutionized":[4],"natural":[5],"processing":[7],"with":[8,241],"their":[9,84,174],"capabilities":[10],"in":[11,47,65,80,154,168,186,206,253],"text":[12,25,66,71,244],"generation":[13,67],"and":[14,51,70,126,148,159,176,273,306,313],"understanding.":[15],"Their":[16],"rich":[17],"contextual":[18],"representations":[19],"learned":[20],"from":[21,83],"training":[22,85,99,111,132,146,208],"on":[23,180,191],"diverse":[24,155],"datasets":[26],"lead":[28],"LLMs":[29,78,102,167,185],"to":[30,54,93,163,171,235],"be":[31],"used":[32,46],"across":[33,224],"a":[34,113],"variety":[35],"of":[36,43,62,97,101,107,112,138,144,152,166,202,256,303,315],"settings.":[37,156],"However":[38],"this":[39,298],"increases":[40],"the":[41,90,95,98,105,110,131,136,145,164,198,207,221,230,254,289,311],"chance":[42],"being":[45],"unintended":[48],"use":[49],"cases":[50],"causing":[52],"harm":[53],"users.":[55],"This":[56,134,228],"dissertation":[57,299],"delves":[58],"into":[59],"empirical":[60],"studies":[61,261],"out-of-distribution":[63,169,248],"issues":[64],"(machine":[68],"translation)":[69],"classification":[72],"(authorship":[73],"analysis)":[74],"tasks,":[75,189],"examining":[76],"how":[77,192],"perform":[79],"settings":[81,170],"distant":[82],"distributions.In":[86],"our":[87,301],"first":[88],"work,":[89],"goal":[91],"is":[92,195],"understand":[94,173],"characteristics":[96],"distribution":[100,147],"by":[103,197],"visualizing":[104],"roles":[106,129],"samples":[108,140],"during":[109],"machine":[114,187],"translation":[115,188,193,217,240],"model.":[116],"Our":[117,157,210,260],"results":[118],"indicate":[119],"that":[120,141,213,263],"sample":[121],"contributions":[122],"are":[123,142,280],"not":[124],"uniform":[125],"play":[127],"complex":[128],"throughout":[130],"process.":[133],"highlights":[135],"difficulty":[137],"describing":[139],"representative":[143],"motivates":[149],"thorough":[150],"evaluation":[151,165],"second":[158],"third":[160],"works":[161],"turn":[162],"better":[172],"strengths":[175],"limitations":[177],"for":[178,218,232,250,285,291,309],"generalization":[179,249,305],"unseen":[181,219],"tasks.":[182],"We":[183],"evaluate":[184],"focusing":[190],"quality":[194],"affected":[196],"presence":[199],"or":[200],"absence":[201],"specific":[203],"pairs":[205],"data.":[209],"findings":[211],"show":[212],"while":[214],"finetuning":[215],"improves":[216],"languages,":[220],"impact":[222],"varies":[223],"different":[225],"pairs.":[227],"emphasizes":[229],"need":[231,290],"further":[233],"research":[234],"enable":[236],"effective":[237],"massively":[238],"multilingual":[239],"LLMs.":[242],"In":[243,296],"classification,":[245],"we":[246],"explore":[247],"authorship":[251,286,293],"analysis":[252,294],"context":[255],"human-AI":[257],"collaborative":[258],"writing.":[259],"reveal":[262],"traditional":[264],"AI":[265,274],"detection":[266],"underperform":[268],"when":[269],"distinguishing":[270],"between":[271],"human":[272],"cowritten":[275],"text.":[276],"Simpler":[277],"n-gram":[278],"techniques":[279],"more":[281],"robust":[282],"than":[283],"LLM":[284,304],"identification,":[287],"suggesting":[288],"adapted":[292],"tools.":[295],"summary":[297],"advances":[300],"understanding":[302],"provides":[307],"insights":[308],"improving":[310],"robustness":[312],"adaptability":[314],"NLP":[316],"systems.":[317]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}