{"id":"https://openalex.org/W7161679923","doi":"https://doi.org/10.48550/arxiv.2605.18025","title":"TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?","display_name":"TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications?","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161679923","doi":"https://doi.org/10.48550/arxiv.2605.18025"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.18025","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18025","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.2605.18025","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114233329","display_name":"Jieting Xiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Jieting","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136464884","display_name":"Yun Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Yun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136498852","display_name":"Huizhen Qiu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qiu, Huizhen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136466785","display_name":"Rui Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ma, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101503013","display_name":"Chen Zhong","orcid":"https://orcid.org/0000-0003-2547-941X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong, Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113389094","display_name":"D. Xu","orcid":"https://orcid.org/0009-0008-9927-8649"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Dongyang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112841985","display_name":"Xiao Long","orcid":"https://orcid.org/0009-0005-0809-7470"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Long, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904206","display_name":"Chaoyu Zhang","orcid":"https://orcid.org/0009-0007-8066-709X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Chaoyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024679777","display_name":"Qiaobo Hao","orcid":"https://orcid.org/0000-0002-0177-7263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Qiaobo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089865114","display_name":"Ding Zou","orcid":"https://orcid.org/0000-0003-4600-7147"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zou, Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136481182","display_name":"Zhiguo Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhiguo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124907391","display_name":"Yanqin Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Yanqin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5029837106","display_name":"Fang Tan","orcid":"https://orcid.org/0000-0003-2406-129X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tan, Fang","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":0.17649999260902405,"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":0.17649999260902405,"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":0.10400000214576721,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.08129999786615372,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.6791999936103821},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.47769999504089355},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4348999857902527},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4246000051498413},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.412200003862381},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4016000032424927},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.39910000562667847},{"id":"https://openalex.org/keywords/subject-matter-expert","display_name":"Subject-matter expert","score":0.3882000148296356}],"concepts":[{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.6791999936103821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670799970626831},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.4262000024318695},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4246000051498413},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4016000032424927},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.39820000529289246},{"id":"https://openalex.org/C105002631","wikidata":"https://www.wikidata.org/wiki/Q4833645","display_name":"Subject-matter expert","level":3,"score":0.3882000148296356},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3118000030517578},{"id":"https://openalex.org/C129763632","wikidata":"https://www.wikidata.org/wiki/Q1454667","display_name":"Network management","level":2,"score":0.31060001254081726},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3010999858379364},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.28139999508857727},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2752000093460083},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.26809999346733093},{"id":"https://openalex.org/C514011633","wikidata":"https://www.wikidata.org/wiki/Q1428168","display_name":"Traditional knowledge","level":3,"score":0.26669999957084656},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.2587999999523163},{"id":"https://openalex.org/C192126672","wikidata":"https://www.wikidata.org/wiki/Q1068715","display_name":"Telecommunications network","level":2,"score":0.2542000114917755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.18025","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18025","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.2605.18025","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.18025","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":"Industry, innovation and infrastructure","score":0.4260564148426056,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"While":[0],"Large":[1],"Language":[2],"Models":[3],"have":[4,224],"achieved":[5],"remarkable":[6],"integration":[7],"in":[8,14,161,177],"various":[9],"vertical":[10],"scenarios,":[11],"their":[12],"deployment":[13],"the":[15,22,43],"telecommunications":[16],"domain":[17],"remains":[18],"exploratory":[19],"due":[20],"to":[21,174,204],"lack":[23],"of":[24,147],"a":[25,62,77,152],"standardized":[26,202],"evaluation":[27,67,222],"framework.":[28],"Current":[29],"telecom":[30,217],"benchmarks":[31],"primarily":[32],"focus":[33],"on":[34,117],"static,":[35],"foundational":[36],"knowledge":[37,97,105],"and":[38,46,90,101,108,137,142,169,221],"isolated":[39],"atomic":[40],"skills,":[41],"neglecting":[42],"equipment-specific":[44],"documentation":[45],"end-to-end":[47],"industrial":[48],"workflows":[49],"essential":[50],"for":[51,212],"real-world":[52],"production":[53],"systems.":[54],"To":[55],"bridge":[56],"this":[57,207],"gap,":[58],"we":[59],"present":[60],"TeleCom-Bench,":[61],"comprehensive":[63],"benchmark":[64],"comprising":[65],"12":[66],"sets":[68],"with":[69,94],"22,678":[70],"curated":[71],"samples,":[72],"which":[73,84,112],"evaluates":[74],"LLMs":[75,150,190],"across":[76,98],"synergistic":[78],"hierarchy:":[79],"(1)":[80],"Multi-dimensional":[81],"Knowledge":[82,110],"Comprehension,":[83],"integrates":[85],"telecommunication":[86],"fundamentals,":[87],"3GPP":[88],"protocols,":[89],"5G":[91],"network":[92,122,140],"architecture":[93],"proprietary":[95],"product":[96],"wired,":[99],"core,":[100],"wireless":[102],"networks":[103],"via":[104],"graph-driven":[106],"synthesis;":[107],"(2)End-to-End":[109],"Application,":[111],"formalizes":[113],"six":[114],"core":[115],"tasks":[116,164,180],"authentic":[118],"trajectories":[119],"from":[120],"live":[121],"agent":[123],"workflows,":[124],"including":[125],"intent":[126,167],"recognition,":[127],"entity":[128,170],"extraction,":[129,171],"event":[130],"verification,":[131],"tool":[132],"invocation,":[133],"root":[134],"cause":[135],"analysis,":[136],"solution":[138,182],"generation-across":[139],"optimization":[141],"fault":[143],"maintenance":[144],"scenarios.":[145],"Evaluations":[146],"eight":[148],"state-of-the-art":[149],"reveal":[151],"universal":[153],"Execution":[154],"Wall:":[155],"while":[156],"models":[157],"achieve":[158],"90%":[159],"accuracy":[160],"linguistic":[162],"interface":[163],"such":[165],"as":[166,193,197],"recognition":[168],"performance":[172],"collapses":[173],"approximately":[175],"30%":[176],"procedural":[178],"execution":[179],"like":[181],"generation.":[183],"This":[184],"capability":[185],"gap":[186],"demonstrates":[187],"that":[188],"current":[189],"function":[191],"competently":[192],"diagnosticians":[194],"but":[195],"fail":[196],"field":[198],"engineers.":[199],"TeleCom-Bench":[200],"provides":[201],"diagnostics":[203],"precisely":[205],"pinpoint":[206],"deficit,":[208],"offering":[209],"actionable":[210],"guidance":[211],"domain-specific":[213],"alignment":[214],"toward":[215],"production-ready":[216],"agents.":[218],"The":[219],"dataset":[220],"code":[223],"been":[225],"released":[226],"at":[227],"https://github.com/ZTE-AICloud/TeleCom-Bench.":[228]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-20T00:00:00"}