{"id":"https://openalex.org/W7166019693","doi":"https://doi.org/10.48550/arxiv.2606.26918","title":"Diagnosing Task Insensitivity in Language Agents","display_name":"Diagnosing Task Insensitivity in Language Agents","publication_year":2026,"publication_date":"2026-06-25","ids":{"openalex":"https://openalex.org/W7166019693","doi":"https://doi.org/10.48550/arxiv.2606.26918"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.26918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26918","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.2606.26918","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139441778","display_name":"Jingyu Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Jingyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090578536","display_name":"X . Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Xiaopeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139424543","display_name":"Kehan Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Kehan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043761995","display_name":"C Shijia Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Chuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139454795","display_name":"Yong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yong","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":0.337799996137619,"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":0.337799996137619,"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":0.10660000145435333,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.08919999748468399,"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/task","display_name":"Task (project management)","score":0.800599992275238},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7608000040054321},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5385000109672546},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4747999906539917},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.4731999933719635},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4146000146865845},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.800599992275238},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7608000040054321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7109000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579000115394592},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5385000109672546},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4747999906539917},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.4731999933719635},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4269999861717224},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4146000146865845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4009000062942505},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3977000117301941},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.37040001153945923},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.26918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26918","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.2606.26918","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.26918","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,34,52],"can":[3],"serve":[4],"as":[5,24],"capable":[6],"long-horizon":[7],"agents,":[8],"but":[9,31,91],"their":[10],"out-of-distribution":[11],"(OOD)":[12],"generalization":[13,159],"remains":[14],"weak.":[15],"We":[16,49,74],"identify":[17],"a":[18,85,107,135],"key":[19],"source":[20],"of":[21],"this":[22,128],"failure":[23],"task":[25,46,61,82,114,146,155,166],"insensitivity:":[26],"when":[27,63,78],"faced":[28],"with":[29,55,58,88],"similar":[30,90],"distinct":[32,92],"tasks,":[33],"might":[35],"apply":[36],"patterns":[37],"learned":[38],"during":[39],"training":[40],"and":[41,69,116,157],"fail":[42],"to":[43,165],"solve":[44],"the":[45,59,64,81,94,99,145],"at":[47],"hand.":[48],"show":[50,150],"that":[51,139,151],"often":[53],"continue":[54],"actions":[56],"aligned":[57],"original":[60],"even":[62],"instruction":[65],"is":[66,104],"semantically":[67],"corrupted":[68],"cannot":[70],"be":[71],"directly":[72],"answered.":[73],"further":[75],"find":[76],"that,":[77],"we":[79,130],"replace":[80],"description":[83],"in":[84],"trained":[86],"prompt":[87],"another":[89],"task,":[93],"model":[95],"may":[96],"still":[97],"output":[98],"same":[100],"action.":[101],"This":[102],"behavior":[103],"accompanied":[105],"by":[106],"consistent":[108],"training-time":[109],"attention":[110,164],"drift":[111],"away":[112],"from":[113],"tokens":[115],"toward":[117,124],"local":[118],"observations,":[119],"suggesting":[120],"an":[121],"optimization":[122],"bias":[123],"shortcuts.":[125],"To":[126],"mitigate":[127],"problem,":[129],"propose":[131],"Task-Perturbed":[132],"NLL":[133],"Optimization,":[134],"lightweight":[136],"contrastive":[137],"regularizer":[138],"explicitly":[140],"encourages":[141],"action":[142],"dependence":[143],"on":[144],"instruction.":[147],"Extensive":[148],"evaluations":[149],"our":[152],"intervention":[153],"improves":[154],"sensitivity":[156],"OOD":[158],"while":[160],"preserving":[161],"more":[162],"stable":[163],"tokens.":[167]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-27T00:00:00"}