{"id":"https://openalex.org/W4403578214","doi":"https://doi.org/10.1145/3627673.3679881","title":"Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching","display_name":"Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403578214","doi":"https://doi.org/10.1145/3627673.3679881"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","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/A5073236160","display_name":"Yuyang Ding","orcid":"https://orcid.org/0009-0004-9986-4606"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyang Ding","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108886407","display_name":"Hanglei Hu","orcid":"https://orcid.org/0009-0005-2220-4009"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanglei Hu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100770462","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-2589-0164"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362863","display_name":"Qin Chen","orcid":"https://orcid.org/0000-0002-5602-1877"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Chen","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045465754","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-7914-1978"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010540039","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-4723-5486"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5073236160"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":3.8621,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94168265,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3730","last_page":"3735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9921000003814697,"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":0.9921000003814697,"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":0.9846000075340271,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9829999804496765,"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/boosting","display_name":"Boosting (machine learning)","score":0.7730840444564819},{"id":"https://openalex.org/keywords/socratic-method","display_name":"Socratic method","score":0.7132666110992432},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6758722066879272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397553503513336},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.38073962926864624},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3495752513408661},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16193535923957825},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10941234230995178},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.09656524658203125}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7730840444564819},{"id":"https://openalex.org/C2801541","wikidata":"https://www.wikidata.org/wiki/Q839475","display_name":"Socratic method","level":2,"score":0.7132666110992432},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6758722066879272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397553503513336},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.38073962926864624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3495752513408661},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16193535923957825},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10941234230995178},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.09656524658203125}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W41920332","https://openalex.org/W1539746312","https://openalex.org/W1593271688","https://openalex.org/W1999645150","https://openalex.org/W2072950331","https://openalex.org/W2251349042","https://openalex.org/W2251935656","https://openalex.org/W2252202991","https://openalex.org/W2510828927","https://openalex.org/W2600463316","https://openalex.org/W2757276219","https://openalex.org/W2962800603","https://openalex.org/W2963672599","https://openalex.org/W3169483174","https://openalex.org/W3170403598","https://openalex.org/W3176456866","https://openalex.org/W4221143046","https://openalex.org/W4292779060","https://openalex.org/W4378508793","https://openalex.org/W4385570391","https://openalex.org/W4385572569","https://openalex.org/W4387705013","https://openalex.org/W4389518764","https://openalex.org/W4393160302","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2789366655","https://openalex.org/W3046483070","https://openalex.org/W41920332","https://openalex.org/W3026698632","https://openalex.org/W4301047123","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W656524744","https://openalex.org/W4231274751","https://openalex.org/W3204019825"],"abstract_inverted_index":{"With":[0],"the":[1,39,105],"introduction":[2],"of":[3,41,77,108],"large":[4],"language":[5],"models":[6],"(LLMs),":[7],"automatic":[8],"math":[9],"reasoning":[10],"has":[11],"seen":[12],"tremendous":[13],"success.":[14],"However,":[15],"current":[16],"methods":[17],"primarily":[18],"focus":[19,36],"on":[20,37,124],"providing":[21],"solutions":[22],"or":[23],"using":[24],"techniques":[25],"like":[26],"Chain-of-Thought":[27],"to":[28,92],"enhance":[29],"problem-solving":[30],"accuracy.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,83],"improving":[38],"capability":[40],"mathematics":[42],"teaching":[43,69],"via":[44,60],"a":[45,66,85,89],"Socratic":[46],"teaching-based":[47],"LLM":[48,87],"(SocraticLLM),":[49],"which":[50,73],"guides":[51],"learners":[52],"toward":[53],"profound":[54],"thinking":[55],"with":[56,79,96,113],"clarity":[57],"and":[58,64,100,120],"self-discovery":[59],"conversation.":[61],"We":[62],"collect":[63],"release":[65],"high-quality":[67],"mathematical":[68],"dataset,":[70],"named":[71],"SocraticMATH,":[72],"provides":[74],"Socratic-style":[75],"conversations":[76],"problems":[78],"extra":[80],"knowledge.":[81],"Also,":[82],"propose":[84],"knowledge-enhanced":[86],"as":[88],"strong":[90,115],"baseline":[91],"generate":[93],"reliable":[94],"responses":[95],"review,":[97],"guidance/heuristic,":[98],"rectification,":[99],"summarization.":[101],"Experimental":[102],"results":[103],"show":[104],"great":[106],"advantages":[107],"SocraticLLM":[109],"by":[110],"comparing":[111],"it":[112],"several":[114],"generative":[116],"models.":[117],"The":[118],"codes":[119],"datasets":[121],"are":[122],"available":[123],"https://github.com/ECNU-ICALK/SocraticMath.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
