{"id":"https://openalex.org/W7152373447","doi":"https://doi.org/10.48550/arxiv.2604.07269","title":"Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent","display_name":"Joint Optimization of Reasoning and Dual-Memory for Self-Learning Diagnostic Agent","publication_year":2026,"publication_date":"2026-04-08","ids":{"openalex":"https://openalex.org/W7152373447","doi":"https://doi.org/10.48550/arxiv.2604.07269"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.07269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07269","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.07269","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133286286","display_name":"Bingxuan Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bingxuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057002372","display_name":"Simo Du","orcid":"https://orcid.org/0000-0001-9551-3754"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Simo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133281366","display_name":"Yue Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Yue","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":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/T12574","display_name":"Clinical Reasoning and Diagnostic Skills","score":0.32670000195503235,"subfield":{"id":"https://openalex.org/subfields/2714","display_name":"Family Practice"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12574","display_name":"Clinical Reasoning and Diagnostic Skills","score":0.32670000195503235,"subfield":{"id":"https://openalex.org/subfields/2714","display_name":"Family Practice"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.14579999446868896,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.13910000026226044,"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/limiting","display_name":"Limiting","score":0.5788999795913696},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.5676000118255615},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.5074999928474426},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4902999997138977},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.47510001063346863},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.4399000108242035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6262999773025513},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.5676000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357000231742859},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5195000171661377},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.5074999928474426},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4902999997138977},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.4399000108242035},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.4255000054836273},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C82157600","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic test","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C3020132585","wikidata":"https://www.wikidata.org/wiki/Q2671652","display_name":"Diagnostic accuracy","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C2776904630","wikidata":"https://www.wikidata.org/wiki/Q356336","display_name":"Adept","level":3,"score":0.273499995470047},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.07269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07269","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":"doi:10.48550/arxiv.2604.07269","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.07269","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","score":0.6716237664222717,"display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Clinical":[0],"expertise":[1],"improves":[2,165],"not":[3],"only":[4],"by":[5,10,96,173],"acquiring":[6],"medical":[7],"knowledge,":[8],"but":[9],"accumulating":[11],"experience":[12,39,176],"that":[13,138,151],"yields":[14],"reusable":[15,178],"diagnostic":[16,20,49,167],"patterns.":[17],"Recent":[18],"LLMs-based":[19],"agents":[21],"have":[22],"shown":[23],"promising":[24],"progress":[25],"in":[26,78,155],"clinical":[27,145],"reasoning":[28,71,104,168],"for":[29,67],"decision":[30],"support.":[31],"However,":[32],"most":[33],"approaches":[34],"treat":[35],"cases":[36],"independently,":[37],"limiting":[38],"reuse":[40],"and":[41,72,105,120,148,160,170],"continual":[42,171],"adaptation.":[43],"We":[44,56,75],"propose":[45],"SEA,":[46],"a":[47,58],"self-learning":[48],"agent":[50,66],"with":[51,85,110],"cognitively":[52],"inspired":[53],"dual-memory":[54,156],"module.":[55],"design":[57],"reinforcement":[59],"training":[60],"framework":[61],"tailored":[62],"to":[63],"our":[64],"designed":[65],"joint":[68],"optimization":[69],"of":[70,101],"memory":[73],"management.":[74],"evaluate":[76],"SEA":[77,88,113,142,164],"two":[79],"complementary":[80],"settings.":[81],"On":[82,107],"standard":[83],"evaluation":[84,135],"MedCaseReasoning":[86],"dataset,":[87,112],"achieves":[89],"92.46%":[90],"accuracy,":[91],"outperforming":[92],"the":[93,99,108,115,121,152],"strongest":[94],"baseline":[95,127],"+19.6%,":[97],"demonstrating":[98],"benefit":[100],"jointly":[102],"optimizing":[103],"memory.":[106],"long-horizon":[109],"ER-Reason":[111],"attains":[114],"best":[116],"final":[117],"accuracy":[118],"(0.7214)":[119],"largest":[122],"improvement":[123],"(+0.35":[124],"Acc@100),":[125],"while":[126],"methods":[128],"show":[129,143],"limited":[130],"or":[131],"unstable":[132],"gains.":[133],"Expert":[134],"further":[136],"indicates":[137],"rules":[139,154],"consolidated":[140],"from":[141],"strong":[144],"correctness,":[146],"usefulness":[147],"trust,":[149],"suggesting":[150],"induced":[153],"module":[157],"are":[158],"reliable":[159],"practically":[161],"meaningful.":[162],"Overall,":[163],"both":[166],"ability":[169],"learning":[172],"effectively":[174],"transforming":[175],"into":[177],"knowledge.":[179]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-10T00:00:00"}
