{"id":"https://openalex.org/W7151848788","doi":"https://doi.org/10.48550/arxiv.2604.04942","title":"TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models","display_name":"TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models","publication_year":2026,"publication_date":"2026-03-13","ids":{"openalex":"https://openalex.org/W7151848788","doi":"https://doi.org/10.48550/arxiv.2604.04942"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04942","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04942","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.04942","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133224483","display_name":"Jiaquan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhang, Jiaquan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124014294","display_name":"Qigan Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Qigan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133235738","display_name":"Chaoning Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chaoning","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133156661","display_name":"Xudong Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xudong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133187244","display_name":"Zhenzhen Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhenzhen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133156570","display_name":"Yitian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Yitian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133172178","display_name":"Pengcheng Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Pengcheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130557422","display_name":"Chi-Lok Andy Tai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tai, Chi-lok Andy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133219992","display_name":"Sung-Ho Bae","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bae, Sung-Ho","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030001981","display_name":"Zeyu Ma","orcid":"https://orcid.org/0000-0002-2553-0679"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Zeyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126439681","display_name":"Caiyan Qin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qin, Caiyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128004295","display_name":"Jinyu Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Jinyu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133231450","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-1289-1803"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133159557","display_name":"Hengtao Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Hengtao","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":14,"corresponding_author_ids":["https://openalex.org/A5133224483"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.78329998254776,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.78329998254776,"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.11209999769926071,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.012299999594688416,"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/reasoning-system","display_name":"Reasoning system","score":0.5097000002861023},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.48249998688697815},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4300999939441681},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4203000068664551},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41190001368522644},{"id":"https://openalex.org/keywords/spatial-intelligence","display_name":"Spatial intelligence","score":0.4081999957561493},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.38420000672340393},{"id":"https://openalex.org/keywords/development","display_name":"Development (topology)","score":0.3725000023841858}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6753000020980835},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.48249998688697815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48159998655319214},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4300999939441681},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4203000068664551},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41190001368522644},{"id":"https://openalex.org/C155911833","wikidata":"https://www.wikidata.org/wiki/Q3817354","display_name":"Spatial intelligence","level":2,"score":0.4081999957561493},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4002000093460083},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C86827895","wikidata":"https://www.wikidata.org/wiki/Q7098582","display_name":"Opportunistic reasoning","level":4,"score":0.36230000853538513},{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.3441999852657318},{"id":"https://openalex.org/C97364631","wikidata":"https://www.wikidata.org/wiki/Q484284","display_name":"Deductive reasoning","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3098999857902527},{"id":"https://openalex.org/C103057564","wikidata":"https://www.wikidata.org/wiki/Q4751139","display_name":"Analytic reasoning","level":3,"score":0.2939999997615814},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.28999999165534973},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.28450000286102295},{"id":"https://openalex.org/C107848011","wikidata":"https://www.wikidata.org/wiki/Q4680756","display_name":"Adaptive reasoning","level":4,"score":0.26170000433921814},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04942","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04942","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04942","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04942","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Enhancing":[0],"the":[1,87],"reasoning":[2,30,55,75,85,145,164],"capability":[3],"of":[4,46,83],"large":[5],"language":[6,15],"models":[7],"(LLMs)":[8],"remains":[9],"a":[10,70,101,115,119,160,169],"core":[11],"challenge":[12],"in":[13,125],"natural":[14],"processing.":[16],"The":[17,77],"Chain-of-Thought":[18],"(CoT)":[19],"paradigm":[20],"dominates":[21],"practical":[22,61,170],"applications":[23],"for":[24,73],"its":[25,29],"single-round":[26],"efficiency,":[27,167],"yet":[28],"chains":[31,127],"often":[32],"exhibit":[33],"logical":[34],"gaps.":[35],"While":[36],"multi-round":[37,144,176],"paradigms":[38],"like":[39,147],"Graph-of-Thoughts":[40],"(GoT),":[41],"Tree-of-Thoughts":[42],"(ToT),":[43],"and":[44,52,98,132,149,166],"Atom":[45],"Thought":[47],"(AoT)":[48],"achieve":[49],"strong":[50],"performance":[51],"reveal":[53],"effective":[54,84],"structures,":[56],"their":[57,107],"high":[58],"cost":[59],"limits":[60],"use.":[62],"To":[63],"address":[64],"this":[65,67,111],"problem,":[66],"paper":[68],"proposes":[69],"topology-based":[71],"method":[72],"optimizing":[74],"chains.":[76],"framework":[78],"embeds":[79],"essential":[80],"topological":[81,103,130],"patterns":[82],"into":[86,100],"lightweight":[88],"CoT":[89,126],"paradigm.":[90],"Using":[91],"persistent":[92],"homology,":[93],"we":[94,113],"map":[95],"CoT,":[96],"ToT,":[97],"GoT":[99],"unified":[102,116],"space":[104],"to":[105,137,172],"quantify":[106],"structural":[108,140],"features.":[109],"On":[110],"basis,":[112],"design":[114],"optimization":[117],"system:":[118],"Topological":[120],"Optimization":[121],"Agent":[122],"diagnoses":[123],"deviations":[124],"from":[128],"desirable":[129],"characteristics":[131],"simultaneously":[133],"generates":[134],"targeted":[135],"strategies":[136],"repair":[138],"these":[139],"deficiencies.":[141],"Compared":[142],"with":[143,175],"methods":[146],"ToT":[148],"GoT,":[150],"experiments":[151],"on":[152],"multiple":[153],"datasets":[154],"show":[155],"that":[156],"our":[157],"approach":[158],"offers":[159],"superior":[161],"balance":[162],"between":[163],"accuracy":[165],"showcasing":[168],"solution":[171],"``single-round":[173],"generation":[174],"intelligence''.":[177]},"counts_by_year":[],"updated_date":"2026-04-09T06:13:59.934233","created_date":"2026-04-09T00:00:00"}