{"id":"https://openalex.org/W4396788162","doi":"https://doi.org/10.48550/arxiv.2405.03553","title":"AlphaMath Almost Zero: Process Supervision without Process","display_name":"AlphaMath Almost Zero: Process Supervision without Process","publication_year":2024,"publication_date":"2024-05-06","ids":{"openalex":"https://openalex.org/W4396788162","doi":"https://doi.org/10.48550/arxiv.2405.03553"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2405.03553","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.03553","pdf_url":"https://arxiv.org/pdf/2405.03553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.03553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100591611","display_name":"Chen Guoxin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Guoxin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073673415","display_name":"Minpeng Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liao, Minpeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101908873","display_name":"Chengxi Li","orcid":"https://orcid.org/0000-0001-6086-1441"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chengxi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055225377","display_name":"Kai Fan","orcid":"https://orcid.org/0000-0002-8256-0807"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Kai","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":6,"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/T10703","display_name":"Business Process Modeling and Analysis","score":0.866599977016449,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.866599977016449,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6950122714042664},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6886225938796997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3757375478744507},{"id":"https://openalex.org/keywords/process-management","display_name":"Process management","score":0.3258877396583557},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2522640824317932},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09832921624183655},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.0831347107887268},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.06922543048858643}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6950122714042664},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6886225938796997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3757375478744507},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.3258877396583557},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2522640824317932},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09832921624183655},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0831347107887268},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.06922543048858643}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2405.03553","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.03553","pdf_url":"https://arxiv.org/pdf/2405.03553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2405.03553","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2405.03553","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"pmh:oai:arXiv.org:2405.03553","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2405.03553","pdf_url":"https://arxiv.org/pdf/2405.03553","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396788162.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W4281737987","https://openalex.org/W4386449603","https://openalex.org/W3124412501","https://openalex.org/W2048235121"],"abstract_inverted_index":{"Although":[0],"recent":[1],"advancements":[2],"in":[3,27,125,150],"large":[4],"language":[5],"models":[6],"(LLMs)":[7],"have":[8],"significantly":[9],"improved":[10],"their":[11],"performance":[12],"on":[13,42,93,160,166],"various":[14],"tasks,":[15],"they":[16],"still":[17],"face":[18],"challenges":[19],"with":[20,113],"complex":[21],"and":[22,121,169],"symbolic":[23],"multi-step":[24],"reasoning,":[25],"particularly":[26],"mathematical":[28,33,105],"reasoning.":[29,106],"To":[30],"bolster":[31],"the":[32,74,95,114,138,145],"reasoning":[34,154],"capabilities":[35],"of":[36,97],"LLMs,":[37],"most":[38],"existing":[39],"efforts":[40],"concentrate":[41],"seeking":[43],"assistance":[44],"from":[45],"either":[46],"domain":[47],"experts":[48],"or":[49,81,177,186],"GPT-4":[50,176],"for":[51,76],"high-quality":[52],"process-supervised":[53],"data,":[54],"which":[55],"is":[56,141],"not":[57],"only":[58],"expensive":[59],"but":[60],"also":[61],"labor-intensive.":[62],"In":[63],"our":[64,181],"study,":[65],"we":[66,108,128],"propose":[67,129],"an":[68,130],"innovative":[69],"framework,":[70],"AlphaMath,":[71],"that":[72,173],"bypasses":[73],"need":[75],"process":[77,119,179],"annotations":[78],"(from":[79],"humans":[80],"GPTs)":[82],"by":[83],"leveraging":[84],"Monte":[85],"Carlo":[86],"Tree":[87],"Search":[88],"(MCTS).":[89],"This":[90],"framework":[91,183],"focuses":[92],"unleashing":[94],"potential":[96],"a":[98,110],"well-pretrained":[99],"LLM":[100],"to":[101,143,189],"autonomously":[102],"enhance":[103],"its":[104],"Specifically,":[107],"integrate":[109],"value":[111,139],"model":[112,140,147],"LLM,":[115],"automatically":[116],"generating":[117],"both":[118,167],"supervision":[120],"step-level":[122,134],"evaluation":[123],"signals":[124],"MCTS.":[126],"Furthermore,":[127],"efficient":[131],"inference":[132],"strategy,":[133],"beam":[135],"search,":[136],"where":[137],"crafted":[142],"assist":[144],"policy":[146],"(i.e.,":[148],"LLM)":[149],"navigating":[151],"more":[152],"effective":[153],"paths,":[155],"rather":[156],"than":[157],"solely":[158],"relying":[159],"prior":[161],"probabilities.":[162],"The":[163],"experimental":[164],"results":[165,188],"in-domain":[168],"out-of-domain":[170],"datasets":[171],"demonstrate":[172],"even":[174],"without":[175],"human-annotated":[178],"supervision,":[180],"AlphaMath":[182],"achieves":[184],"comparable":[185],"superior":[187],"previous":[190],"state-of-the-art":[191],"methods.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}