{"id":"https://openalex.org/W7155210080","doi":"https://doi.org/10.48550/arxiv.2604.19548","title":"Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment","display_name":"Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment","publication_year":2026,"publication_date":"2026-04-21","ids":{"openalex":"https://openalex.org/W7155210080","doi":"https://doi.org/10.48550/arxiv.2604.19548"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.19548","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19548","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.2604.19548","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134339971","display_name":"Bobo Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Bobo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134304315","display_name":"Rui Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134349136","display_name":"Zibo Ji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ji, Zibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134260511","display_name":"Meishan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Meishan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134275076","display_name":"Hao Fei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fei, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134356218","display_name":"Min Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Min","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121132030","display_name":"Mong-Li Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Mong-Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134282775","display_name":"Wynne Hsu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hsu, Wynne","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1784999966621399,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.1784999966621399,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.17440000176429749,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.1590999960899353,"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/dialectic","display_name":"Dialectic","score":0.6241999864578247},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5697000026702881},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.5336999893188477},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.4163999855518341},{"id":"https://openalex.org/keywords/autonomous-agent","display_name":"Autonomous agent","score":0.4011000096797943},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.3750999867916107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6729999780654907},{"id":"https://openalex.org/C13184196","wikidata":"https://www.wikidata.org/wiki/Q9453","display_name":"Dialectic","level":2,"score":0.6241999864578247},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5697000026702881},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.5336999893188477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4334000051021576},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.4163999855518341},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3330000042915344},{"id":"https://openalex.org/C143299363","wikidata":"https://www.wikidata.org/wiki/Q900584","display_name":"Attribution","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C38976095","wikidata":"https://www.wikidata.org/wiki/Q752641","display_name":"Asymmetry","level":2,"score":0.2890999913215637},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2696000039577484},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.19548","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19548","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.2604.19548","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.19548","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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5221061706542969}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"Language":[1],"Model":[2],"agents":[3,146],"have":[4],"rapidly":[5],"evolved":[6],"from":[7],"static":[8],"text":[9],"generators":[10],"into":[11,151],"dynamic":[12],"systems":[13],"capable":[14],"of":[15,110],"executing":[16],"complex":[17],"autonomous":[18],"workflows.":[19],"To":[20,115],"enhance":[21],"reliability,":[22],"multi-agent":[23],"frameworks":[24],"assigning":[25],"specialized":[26],"roles":[27],"are":[28],"increasingly":[29],"adopted":[30],"to":[31,69,72,85,131,147],"enable":[32],"self-reflection":[33],"and":[34,163],"mutual":[35,79],"auditing.":[36],"While":[37],"such":[38],"role-playing":[39],"effectively":[40,159],"leverages":[41],"domain":[42],"expert":[43],"knowledge,":[44],"we":[45,119],"find":[46],"it":[47],"simultaneously":[48],"induces":[49],"a":[50,125],"human-like":[51],"cognitive":[52],"bias":[53],"known":[54],"as":[55,63],"Actor-Observer":[56],"Asymmetry":[57],"(AOA).":[58],"Specifically,":[59],"an":[60,64,76,152],"agent":[61],"acting":[62],"actor":[65],"(during":[66,78],"self-reflection)":[67],"tends":[68],"attribute":[70],"failures":[71],"external":[73],"factors,":[74],"whereas":[75],"observer":[77],"auditing)":[80],"attributes":[81],"the":[82,104],"same":[83],"errors":[84],"internal":[86],"faults.":[87],"We":[88],"quantify":[89],"this":[90,117],"using":[91],"our":[92],"new":[93],"Ambiguous":[94],"Failure":[95],"Benchmark,":[96],"which":[97],"reveals":[98],"that":[99,157],"simply":[100],"swapping":[101],"perspectives":[102],"triggers":[103],"AOA":[105],"effect":[106],"in":[107,169],"over":[108],"20%":[109],"cases":[111],"for":[112],"most":[113],"models.":[114],"tame":[116],"bias,":[118],"introduce":[120],"ReTAS":[121,144,158],"(Reasoning":[122],"via":[123],"Thesis-Antithesis-Synthesis),":[124],"model":[126],"trained":[127],"through":[128],"dialectical":[129,137],"alignment":[130],"enforce":[132],"perspective-invariant":[133],"reasoning.":[134],"By":[135],"integrating":[136],"chain-of-thought":[138],"with":[139],"Group":[140],"Relative":[141],"Policy":[142],"Optimization,":[143],"guides":[145],"synthesize":[148],"conflicting":[149],"viewpoints":[150],"objective":[153],"consensus.":[154],"Experiments":[155],"demonstrate":[156],"mitigates":[160],"attribution":[161],"inconsistency":[162],"significantly":[164],"improves":[165],"fault":[166],"resolution":[167],"rates":[168],"ambiguous":[170],"scenarios.":[171]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-23T00:00:00"}