{"id":"https://openalex.org/W7128926391","doi":"https://doi.org/10.1145/3788731.3788750","title":"Complexity Aware Recursive Decomposition for Math Reasoning","display_name":"Complexity Aware Recursive Decomposition for Math Reasoning","publication_year":2025,"publication_date":"2025-12-19","ids":{"openalex":"https://openalex.org/W7128926391","doi":"https://doi.org/10.1145/3788731.3788750"},"language":null,"primary_location":{"id":"doi:10.1145/3788731.3788750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788750","pdf_url":null,"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 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3788731.3788750","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094312921","display_name":"Kaleem Ullah Qasim","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kaleem Ullah Qasim","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-0102-3816","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126012816","display_name":"Jiashu Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashu Zhang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0003-2086-0991","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111158717","display_name":"Hafiz Saif Ur Rehman","orcid":null},"institutions":[{"id":"https://openalex.org/I204831749","display_name":"Southwestern University of Finance and Economics","ror":"https://ror.org/04ewct822","country_code":"CN","type":"education","lineage":["https://openalex.org/I204831749"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hafiz Saif Ur Rehman","raw_affiliation_strings":["Southwestern University of Finance and Economics, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0005-7972-729X","affiliations":[{"raw_affiliation_string":"Southwestern University of Finance and Economics, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I204831749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094312921"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84002859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.4796000123023987,"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/T13629","display_name":"Text Readability and Simplification","score":0.4796000123023987,"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":0.15209999680519104,"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":0.09380000084638596,"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/decomposition","display_name":"Decomposition","score":0.7032999992370605},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5232999920845032},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.453900009393692},{"id":"https://openalex.org/keywords/reasoning-system","display_name":"Reasoning system","score":0.42419999837875366},{"id":"https://openalex.org/keywords/decomposition-method","display_name":"Decomposition method (queueing theory)","score":0.3522999882698059},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.325300008058548}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.7032999992370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6266999840736389},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5232999920845032},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45829999446868896},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.453900009393692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4318999946117401},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.42419999837875366},{"id":"https://openalex.org/C2778258933","wikidata":"https://www.wikidata.org/wiki/Q16918986","display_name":"Decomposition method (queueing theory)","level":2,"score":0.3522999882698059},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28999999165534973},{"id":"https://openalex.org/C159032336","wikidata":"https://www.wikidata.org/wiki/Q2488768","display_name":"Non-monotonic logic","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2734000086784363},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3788731.3788750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788750","pdf_url":null,"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 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3788731.3788750","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788731.3788750","pdf_url":null,"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 2025 International Conference on Embodied Intelligence and Large Models","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2811516922","display_name":null,"funder_award_id":"62471411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4401043434","https://openalex.org/W4404781969","https://openalex.org/W4413121347"],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,90],"often":[3],"fail":[4],"on":[5,68,87,100],"multi-step":[6],"reasoning":[7,11,89],"due":[8],"to":[9,97,109,113,122,128],"fixed":[10,114],"strategies":[12],"that":[13,27,136],"ignore":[14],"problem":[15,29],"specific":[16],"difficulty.":[17],"We":[18],"introduce":[19],"CARD":[20,94,119],"(Complexity":[21],"Aware":[22],"Recursive":[23],"Decomposition),":[24],"a":[25,45,57],"framework":[26],"predicts":[28],"complexity":[30,138],"before":[31],"generation":[32],"and":[33,56,71,144],"adapts":[34],"decomposition":[35,63,115],"accordingly.":[36],"Our":[37,133],"system":[38],"comprises":[39],"MRCE":[40,84],"(Multi-dimensional":[41],"Reasoning":[42],"Complexity":[43],"Estimator),":[44],"0.6B":[46],"Qwen":[47],"model":[48],"predicting":[49],"30":[50],"fine-grained":[51],"features":[52],"from":[53],"question":[54],"text":[55],"two-stage":[58],"recursive":[59,83],"solver:":[60],"(1)":[61],"hierarchical":[62],"into":[64],"K":[65],"steps":[66],"based":[67],"task":[69],"profile":[70],"(2)":[72],"per-step":[73],"thought":[74],"budget":[75],"allocation":[76],"(1,":[77],"5-9,":[78],"or":[79],"10":[80],"thoughts)":[81],"via":[82],"profiling.":[85],"Evaluated":[86],"three":[88],"(Qwen3-0.6B,":[91],"DeepSeek-R1-Distill-Qwen-1.5B,":[92],"Qwen3-1.7B),":[93],"achieves":[95],"81.4":[96],"89.2%":[98],"accuracy":[99,124,143],"GSM8K":[101],"while":[102],"reducing":[103],"token":[104],"cost":[105],"by":[106],"2.16":[107],"\u00d7":[108,111,127,130],"2.40":[110],"compared":[112],"baselines.":[116],"On":[117],"MATH-500,":[118],"reaches":[120],"75.1":[121],"86.8%":[123],"using":[125],"1.98":[126],"6.13":[129],"fewer":[131],"tokens.":[132],"results":[134],"demonstrate":[135],"preemptive":[137],"estimation":[139],"enables":[140],"both":[141],"higher":[142],"significant":[145],"efficiency":[146],"gains.":[147]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-02-15T00:00:00"}
