{"id":"https://openalex.org/W7161686585","doi":"https://doi.org/10.48550/arxiv.2605.16821","title":"Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework","display_name":"Multi-Paradigm Agent Interaction in Practice:A Systematic Analysis of Generator-Evaluator, ReAct Loop,and Adversarial Evaluation in the buddyMe Framework","publication_year":2026,"publication_date":"2026-05-16","ids":{"openalex":"https://openalex.org/W7161686585","doi":"https://doi.org/10.48550/arxiv.2605.16821"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.16821","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16821","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.16821","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136458519","display_name":"Xiaohua Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaohua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136494160","display_name":"Chao Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Chao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136456057","display_name":"Kai Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136479377","display_name":"XiaoLiang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, XiaoLiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136497004","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0002-0606-561X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Liang","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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.18119999766349792,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.18119999766349792,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.04540000110864639,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.04179999977350235,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/adversarial-system","display_name":"Adversarial system","score":0.7777000069618225},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5755000114440918},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.5475000143051147},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48669999837875366},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.453000009059906},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42329999804496765},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.39070001244544983},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.37439998984336853}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7892000079154968},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7777000069618225},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5755000114440918},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.5475000143051147},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48669999837875366},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.453000009059906},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42329999804496765},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4002000093460083},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C110251889","wikidata":"https://www.wikidata.org/wiki/Q1569697","display_name":"Model checking","level":2,"score":0.3725000023841858},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3671000003814697},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3375999927520752},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2944999933242798},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.26489999890327454},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2612999975681305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.16821","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16821","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.16821","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.16821","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,195],"rapid":[1],"evolution":[2],"of":[3,31,122,162],"Large":[4],"Language":[5],"Model":[6],"(LLM)":[7],"agents":[8],"has":[9],"produced":[10],"diverse":[11],"interaction":[12,35],"paradigms,":[13,36],"yet":[14],"few":[15],"production":[16],"systems":[17],"integrate":[18],"multiple":[19],"paradigms":[20],"within":[21,155],"a":[22,28,59,80],"unified":[23],"architecture.":[24],"This":[25],"paper":[26],"presents":[27],"systematic":[29],"analysis":[30],"three":[32,110,176],"principal":[33],"agent":[34,54,208],"including":[37],"Multi-Agent":[38],"Orchestration":[39],"(Generator-Evaluator),":[40],"ReAct":[41,69,134],"Tool-Use":[42],"Loops,":[43],"and":[44,78,104,180,189,205],"Memory-Augmented":[45],"Interaction,":[46],"as":[47],"implemented":[48],"in":[49,119],"buddyMe,":[50],"an":[51],"open-source":[52],"multi-model":[53],"programming":[55],"framework.":[56],"We":[57,173],"formalize":[58],"five-stage":[60],"processing":[61],"pipeline:":[62],"Requirement":[63],"Pre-Review":[64],"-&gt;":[65,68,71,74],"Task":[66],"Decomposition":[67],"Execution":[70],"Real-Execution":[72],"Verification":[73],"Adversarial":[75],"Evaluation":[76],"Discussion,":[77],"establish":[79],"six-dimensional":[81],"evaluation":[82],"schema":[83],"with":[84,125,184],"weighted":[85],"scoring.":[86],"Through":[87],"four":[88],"empirical":[89],"case":[90],"studies":[91],"drawn":[92],"from":[93],"real-world":[94],"deployment":[95],"logs":[96],"covering":[97],"museum":[98],"guide":[99],"generation,":[100],"scheduled":[101],"weather":[102],"tasks,":[103,124],"comprehensive":[105],"tour":[106],"planning,":[107],"we":[108],"draw":[109],"key":[111],"conclusions.":[112],"First,":[113],"Generator-Evaluator":[114],"pre-review":[115],"detects":[116],"requirement":[117],"omissions":[118],"20":[120],"percent":[121,127,145,161],"complex":[123],"80":[126],"tasks":[128],"passing":[129],"initial":[130],"inspection.":[131],"Second,":[132],"the":[133],"loop":[135],"ensures":[136],"stable":[137,204],"subtask":[138],"execution":[139],"but":[140],"leads":[141],"to":[142],"around":[143],"30":[144],"redundant":[146],"tool":[147],"invocations.":[148],"Third,":[149],"adversarial":[150],"Evaluator-Defender":[151],"discussions":[152],"reach":[153],"consensus":[154],"2-3":[156],"rounds":[157],"for":[158,166,202],"nearly":[159],"70":[160],"scenarios,":[163],"functioning":[164],"mainly":[165],"content":[167],"refinement":[168],"rather":[169],"than":[170],"logical":[171],"reversal.":[172],"additionally":[174],"provide":[175],"Mermaid-based":[177],"architectural":[178],"diagrams":[179],"conduct":[181],"cross-paradigm":[182],"comparisons":[183],"CrewAI,":[185],"AutoGen,":[186],"LangGraph,":[187],"MemGPT":[188],"A-Mem":[190],"across":[191],"six":[192],"system":[193],"dimensions.":[194],"research":[196],"outcomes":[197],"offer":[198],"practical":[199],"design":[200],"guidelines":[201],"constructing":[203],"reliable":[206],"multi-paradigm":[207],"systems.":[209]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}
