{"id":"https://openalex.org/W4412889228","doi":"https://doi.org/10.18653/v1/2025.bea-1.23","title":"LookAlike: Consistent Distractor Generation in Math MCQs","display_name":"LookAlike: Consistent Distractor Generation in Math MCQs","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412889228","doi":"https://doi.org/10.18653/v1/2025.bea-1.23"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.bea-1.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.23","pdf_url":"https://aclanthology.org/2025.bea-1.23.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.bea-1.23.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119181646","display_name":"Nisarg Parikh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nisarg Parikh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008589669","display_name":"Alexander Scarlatos","orcid":"https://orcid.org/0000-0001-6419-5909"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexander Scarlatos","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073581485","display_name":"Nigel Fernandez","orcid":"https://orcid.org/0000-0002-2258-0208"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nigel Fernandez","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034068210","display_name":"Simon Woodhead","orcid":"https://orcid.org/0000-0002-2192-9797"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simon Woodhead","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5063813962","display_name":"Andrew Lan","orcid":"https://orcid.org/0000-0002-8475-6600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andrew Lan","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":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14577404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"294","last_page":"311"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9884999990463257,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9884999990463257,"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/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.9526000022888184,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10731","display_name":"Educational Games and Gamification","score":0.9517999887466431,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5333685278892517},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.5140975117683411},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.3396761417388916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3174523115158081}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5333685278892517},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.5140975117683411},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.3396761417388916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3174523115158081}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.bea-1.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.23","pdf_url":"https://aclanthology.org/2025.bea-1.23.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.bea-1.23","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.bea-1.23","pdf_url":"https://aclanthology.org/2025.bea-1.23.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G417826032","display_name":"Using Artificial Intelligence to Personalize Mathematics Instruction to Students Interests","funder_award_id":"2341948","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4502346568","display_name":"CAREER: Generative Item, Response, and Feedback Models in Assessment and Learning","funder_award_id":"2237676","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7748518716","display_name":"Collaborative Research: Common Error Diagnostics and Support in Short-answer Math Questions","funder_award_id":"2118706","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412889228.pdf","grobid_xml":"https://content.openalex.org/works/W4412889228.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"are":[4,22,30,155],"increasingly":[5],"used":[6],"to":[7,72,164],"generate":[8],"distractors":[9,29,147],"for":[10,142],"multiplechoice":[11],"questions":[12],"(MCQs),":[13],"especially":[14],"in":[15,24,113,118],"domains":[16],"like":[17],"math":[18,107,145],"education.However,":[19],"existing":[20,126],"approaches":[21],"limited":[23],"ensuring":[25],"that":[26,42,77],"the":[27,134],"generated":[28],"consistent":[31,144],"with":[32,67],"common":[33],"student":[34],"errors.We":[35],"propose":[36],"LOOKALIKE":[37,86,109],"3":[38,166],",":[39],"a":[40,102,151,159],"method":[41,128],"improves":[43],"error-distractor":[44],"consistency":[45],"via":[46],"preference":[47,56,84],"optimization.Our":[48],"two":[49],"main":[50],"innovations":[51],"are:":[52],"(a)":[53],"mining":[54,141],"synthetic":[55],"pairs":[57],"from":[58],"model":[59],"inconsistencies,":[60],"and":[61,98,116,139],"(b)":[62],"alternating":[63],"supervised":[64],"fine-tuning":[65],"(SFT)":[66],"Direct":[68],"Preference":[69],"Optimization":[70],"(DPO)":[71],"stabilize":[73],"training.Unlike":[74],"prior":[75],"work":[76],"relies":[78],"on":[79,101],"heuristics":[80],"or":[81],"manually":[82],"annotated":[83],"data,":[85],"uses":[87],"its":[88],"own":[89],"generation":[90,115,120],"inconsistencies":[91],"as":[92],"dispreferred":[93],"samples,":[94],"thus":[95],"enabling":[96],"scalable":[97],"stable":[99],"training.Evaluated":[100],"real-world":[103],"dataset":[104],"of":[105,136,150,153,162],"1,400+":[106],"MCQs,":[108],"achieves":[110],"51.6%":[111],"accuracy":[112],"distractor":[114],"57.2%":[117],"error":[119],"under":[121],"LLM-as-a-judge":[122],"evaluation,":[123],"outperforming":[124],"an":[125],"state-of-the-art":[127],"(45.6%":[129],"/":[130],"47.7%).These":[131],"improvements":[132],"highlight":[133],"effectiveness":[135],"preference-based":[137],"regularization":[138],"inconsistency":[140],"generating":[143],"MCQ":[146],"at":[148],"scale.7":[149],"group":[152],"students":[154],"boys.What":[156],"would":[157],"be":[158],"possible":[160],"ratio":[161],"boys":[163],"girls?Key":[165],":":[167],"4":[168]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
