{"id":"https://openalex.org/W4406190830","doi":"https://doi.org/10.48550/arxiv.2501.03462","title":"ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation","display_name":"ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation","publication_year":2025,"publication_date":"2025-01-07","ids":{"openalex":"https://openalex.org/W4406190830","doi":"https://doi.org/10.48550/arxiv.2501.03462"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2501.03462","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.03462","pdf_url":"https://arxiv.org/pdf/2501.03462","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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2501.03462","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100381392","display_name":"Yucheng Liu","orcid":"https://orcid.org/0000-0002-3463-7996","observed_orcids":["https://orcid.org/0000-0002-3463-7996","https://orcid.org/0000-0002-1917-8330"]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Liu, Yu-Cheng","raw_affiliation_strings":["Department of Computer Science , National Yang Ming Chiao Tung University , Hsinchu , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , National Yang Ming Chiao Tung University , Hsinchu , Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012131890","display_name":"An-Zi Yen","orcid":"https://orcid.org/0000-0001-5304-7230","observed_orcids":["https://orcid.org/0000-0001-5304-7230"]},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yen, An-Zi","raw_affiliation_strings":["Department of Computer Science , National Yang Ming Chiao Tung University , Hsinchu , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science , National Yang Ming Chiao Tung University , Hsinchu , Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11587","display_name":"Second Language Acquisition and Learning","score":0.6460000276565552,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11587","display_name":"Second Language Acquisition and Learning","score":0.6460000276565552,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.24719999730587006,"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":0.04529999941587448,"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/distractor-generation","display_name":"distractor generation","score":0.925000011920929},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8109999895095825},{"id":"https://openalex.org/keywords/iterative-selection","display_name":"iterative selection","score":0.8489999771118164},{"id":"https://openalex.org/keywords/college-entrance-examination","display_name":"college entrance examination","score":0.8830000162124634},{"id":"https://openalex.org/keywords/second-language-vocabulary-acquisition","display_name":"second language vocabulary acquisition","score":0.7009999752044678}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7104583978652954},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.6003412008285522},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.5296164751052856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4351983964443207},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37803635001182556},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35620126128196716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35414791107177734},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.24293208122253418},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1124604344367981},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.10120481252670288},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2501.03462","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.03462","pdf_url":"https://arxiv.org/pdf/2501.03462","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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2501.03462","doi":"https://doi.org/10.48550/arxiv.2501.03462","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2501.03462","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,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2501.03462","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2501.03462","pdf_url":"https://arxiv.org/pdf/2501.03462","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,"listed_in":[],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.9235000014305115,"display_name":"Quality education","id":"https://metadata.un.org/sdg/4"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406190830.pdf","grobid_xml":"https://content.openalex.org/works/W4406190830.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413096096","https://openalex.org/W2892397150","https://openalex.org/W4412567815","https://openalex.org/W4392568696","https://openalex.org/W4412568342","https://openalex.org/W4417003177","https://openalex.org/W4416018034","https://openalex.org/W6912026656","https://openalex.org/W2404206802","https://openalex.org/W2758591789"],"abstract_inverted_index":{"Vocabulary":[0],"acquisition":[1],"is":[2,18],"essential":[3],"to":[4,43,96,155],"second":[5],"language":[6,13,121],"learning,":[7],"as":[8],"it":[9],"underpins":[10],"all":[11],"core":[12],"skills.":[14],"Accurate":[15],"vocabulary":[16,50,84,130],"assessment":[17],"particularly":[19],"important":[20],"in":[21,45,118,126,174],"standardized":[22],"exams,":[23],"where":[24],"test":[25,104,131],"items":[26,105],"evaluate":[27],"learners'":[28],"comprehension":[29],"and":[30,63,106,178],"contextual":[31],"use":[32,148],"of":[33,48,102,149],"words.":[34],"Previous":[35],"research":[36],"has":[37],"explored":[38],"methods":[39],"for":[40,110,129],"generating":[41,127,175],"distractors":[42,66,128,159,185],"aid":[44],"the":[46,70,100,139,158,179,189],"design":[47],"English":[49,83],"tests.":[51],"However,":[52],"current":[53],"approaches":[54],"often":[55],"rely":[56],"on":[57,82],"lexical":[58],"databases":[59],"or":[60],"predefined":[61],"rules,":[62],"frequently":[64],"produce":[65],"that":[67,157,169,186],"risk":[68],"invalidating":[69],"question":[71],"by":[72],"introducing":[73],"multiple":[74],"correct":[75],"options.":[76,165],"In":[77],"this":[78],"study,":[79],"we":[80,114,137],"focus":[81],"questions":[85],"from":[86],"Taiwan's":[87],"university":[88],"entrance":[89],"exams.":[90],"We":[91],"analyze":[92],"student":[93],"response":[94],"distributions":[95],"gain":[97],"insights":[98],"into":[99],"characteristics":[101],"these":[103,135],"provide":[107],"a":[108,150],"reference":[109],"future":[111],"research.":[112],"Additionally,":[113],"identify":[115],"key":[116],"limitations":[117],"how":[119],"large":[120],"models":[122],"(LLMs)":[123],"support":[124],"teachers":[125],"design.":[132],"To":[133],"address":[134],"challenges,":[136],"propose":[138],"iterative":[140],"selection":[141],"with":[142],"self-review":[143,153,180],"(ISSR)":[144],"framework,":[145],"which":[146],"makes":[147],"novel":[151],"LLM-based":[152],"mechanism":[154,181],"ensure":[156],"remain":[160],"valid":[161],"while":[162],"offering":[163],"diverse":[164],"Experimental":[166],"results":[167],"show":[168],"ISSR":[170],"achieves":[171],"promising":[172],"performance":[173],"plausible":[176],"distractors,":[177],"effectively":[182],"filters":[183],"out":[184],"could":[187],"invalidate":[188],"question.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-09-30T09:27:27.532063","created_date":"2025-01-09T00:00:00"}
