{"id":"https://openalex.org/W7167090752","doi":"https://doi.org/10.48550/arxiv.2607.00011","title":"SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents","display_name":"SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents","publication_year":2026,"publication_date":"2026-05-08","ids":{"openalex":"https://openalex.org/W7167090752","doi":"https://doi.org/10.48550/arxiv.2607.00011"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.00011","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00011","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2607.00011","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030174547","display_name":"Jiawei Zheng","orcid":"https://orcid.org/0000-0001-6599-6070"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Jingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139904327","display_name":"Dongjing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Dongjing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139868722","display_name":"Xin Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Chen, Hao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Li, Youhuizi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Youhuizi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Shen, Xudong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Xudong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139853963","display_name":"Haiping Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Haiping","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Huang, Butian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Butian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yu, Dongjin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Dongjin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Xu, Guandong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Guandong","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/T10028","display_name":"Topic Modeling","score":0.4519999921321869,"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/T10028","display_name":"Topic Modeling","score":0.4519999921321869,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.1453000009059906,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.03460000082850456,"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/task","display_name":"Task (project management)","score":0.60589998960495},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5684999823570251},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5565999746322632},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5430999994277954},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5130000114440918},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4864000082015991},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.3587000072002411}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406999826431274},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.60589998960495},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5430999994277954},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5130000114440918},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.38920000195503235},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.3587000072002411},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.31529998779296875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2962999939918518},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.296099990606308},{"id":"https://openalex.org/C144097018","wikidata":"https://www.wikidata.org/wiki/Q4329404","display_name":"Service discovery","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.2831000089645386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2768000066280365},{"id":"https://openalex.org/C22367795","wikidata":"https://www.wikidata.org/wiki/Q7625208","display_name":"Structured prediction","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2533999979496002},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C68595000","wikidata":"https://www.wikidata.org/wiki/Q2274177","display_name":"Service delivery framework","level":3,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.00011","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00011","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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.2607.00011","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.00011","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5100075006484985}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reusable":[0],"agent":[1,227],"skills":[2,35,64,87,139,228],"are":[3,88,110],"emerging":[4],"as":[5,90,229],"a":[6,20,47,79,99,107,113,121,135,155,171],"service-oriented":[7],"capability":[8,49],"layer":[9],"for":[10,39,159],"Large":[11],"Language":[12],"Model":[13],"(LLM)":[14],"agents.":[15],"Unlike":[16],"plain":[17,238],"retrieval":[18],"items,":[19],"skill":[21],"exposes":[22],"functional":[23],"capabilities,":[24],"input-output":[25],"assumptions,":[26],"tool":[27,54],"dependencies,":[28],"context":[29,158],"cost,":[30],"and":[31,56,68,73,103,118,127,184,197,232],"risk":[32,57,195],"metadata.":[33],"Selecting":[34],"is":[36,96],"particularly":[37],"challenging":[38],"small":[40],"LLM":[41],"agents,":[42],"which":[43],"can":[44],"load":[45],"only":[46,131,160,174],"few":[48],"units":[50,235],"under":[51,187],"restricted":[52],"context,":[53],"availability,":[55],"tolerance.":[58],"Existing":[59],"fixed":[60,219],"Top-k":[61],"methods":[62],"rank":[63],"by":[65,112,120,146],"textual":[66],"relevance":[67,143],"overlook":[69],"requirement":[70,101],"satisfaction,":[71],"deliverability,":[72],"operational":[74],"constraints.":[75],"We":[76],"present":[77],"SkillSelect-Serve,":[78],"QoS-aware,":[80],"budget-constrained":[81],"Skill":[82,92],"Service":[83],"recommendation":[84,153],"framework.":[85],"Raw":[86],"profiled":[89],"structured":[91,100],"Services,":[93],"the":[94,150,164,199],"task":[95],"converted":[97],"into":[98],"object,":[102],"candidates":[104],"discovered":[105],"from":[106,214],"large-scale":[108],"registry":[109,136],"ranked":[111],"calibrated":[114],"task-conditioned":[115],"suitability":[116],"estimator":[117],"packed":[119],"constrained":[122,165],"projection":[123,166],"enforcing":[124],"token-budget,":[125],"aggregated-risk,":[126],"tool-availability":[128],"constraints,":[129],"using":[130],"deployment-observable":[132],"features.":[133],"On":[134],"of":[137,162,173,177,203,237],"35,353":[138],"with":[140],"pooled":[141],"multi-positive":[142],"judgments":[144],"verified":[145],"two":[147],"independent":[148],"assessors,":[149],"unconstrained":[151],"top-5":[152],"fits":[154],"realistic":[156],"4,000-token":[157],"9.1%":[161],"tasks;":[163],"restores":[167],"100%":[168],"deliverability":[169],"at":[170],"cost":[172],"1.14":[175],"points":[176],"hit":[178,211],"rate,":[179],"outperforming":[180],"retrieve-and-rerank,":[181],"budget":[182],"truncation,":[183],"diversity-based":[185],"selection":[186],"identical":[188,208],"budgets.":[189],"The":[190,222],"same":[191],"mechanism":[192],"halves":[193],"delivered":[194],"exposure":[196],"eliminates":[198],"44-81%":[200],"tool-violation":[201],"rates":[202],"tool-agnostic":[204],"recommendation.":[205],"At":[206],"an":[207],"three-service":[209],"budget,":[210],"rate":[212],"improves":[213],"0.8864":[215],"to":[216],"0.9091":[217],"over":[218],"Top-3":[220],"retrieval.":[221],"results":[223],"support":[224],"managing":[225],"reusable":[226],"discoverable,":[230],"comparable,":[231],"constraint-aware":[233],"service":[234],"instead":[236],"retrievable":[239],"documents.":[240]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-03T00:00:00"}