{"id":"https://openalex.org/W7133299876","doi":"https://doi.org/10.48550/arxiv.2603.00030","title":"SimpleTool: Parallel Decoding for Real-Time LLM Function Calling","display_name":"SimpleTool: Parallel Decoding for Real-Time LLM Function Calling","publication_year":2026,"publication_date":"2026-02-04","ids":{"openalex":"https://openalex.org/W7133299876","doi":"https://doi.org/10.48550/arxiv.2603.00030"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00030","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00030","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00030","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127919059","display_name":"Xiaoxin Shi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shi, Xiaoxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Wan, Jiaxin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wan, Jiaxin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128011046","display_name":"Linkang Dong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Linkang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127981618","display_name":"Wei Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127917784","display_name":"Yue Liu (292931)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5127946475","display_name":"Zengfeng Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zengfeng","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5127919059"],"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.1678999960422516,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.1678999960422516,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.11469999700784683,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.09589999914169312,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/speedup","display_name":"Speedup","score":0.8140000104904175},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.7034000158309937},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.6859999895095825},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6014000177383423},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5648000240325928},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.49480000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8238999843597412},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.8140000104904175},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7034000158309937},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.6859999895095825},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6014000177383423},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5648000240325928},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.49480000138282776},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.4699000120162964},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3946000039577484},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33149999380111694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2930999994277954},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.28220000863075256}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00030","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00030","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.00030","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00030","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":"article"},"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":{"LLM-based":[0],"function":[1,42,105,178],"calling":[2,43,179],"enables":[3],"intelligent":[4],"agents":[5],"to":[6,73,117],"interact":[7],"with":[8,119],"external":[9],"tools":[10],"and":[11,31,59,107,151,180],"environments,":[12],"yet":[13],"autoregressive":[14],"decoding":[15],"imposes":[16],"a":[17,86],"fundamental":[18],"latency":[19,152],"bottleneck":[20],"that":[21,41,84,99],"limits":[22],"real-time":[23,75,167],"applications":[24],"such":[25],"as":[26,96],"embodied":[27],"intelligence,":[28],"game":[29],"AI,":[30],"interactive":[32],"avatars":[33],"(e.g.,":[34],"10":[35],"Hz":[36,166],"control":[37,168],"frequency).":[38],"We":[39,77],"observe":[40],"differs":[44],"fundamentally":[45],"from":[46],"free-form":[47],"text":[48],"generation:":[49],"structured":[50],"outputs":[51],"exhibit":[52,61],"substantial":[53,133],"token":[54],"redundancy":[55],"(delimiters,":[56],"parameter":[57],"names),":[58],"arguments":[60],"weak":[62],"causal":[63],"dependencies.":[64],"Crucially,":[65],"these":[66],"two":[67],"properties":[68],"must":[69],"be":[70],"exploited":[71],"jointly":[72],"achieve":[74],"performance.":[76],"present":[78],"SimpleTool,":[79],"which":[80],"introduces":[81],"special":[82],"tokens":[83,91],"serve":[85],"dual":[87],"role:":[88],"compressing":[89],"low-entropy":[90],"(4-6x":[92],"reduction)":[93],"while":[94,135],"acting":[95],"mode":[97],"selectors":[98],"enable":[100],"independent":[101],"parallel":[102],"generation":[103],"of":[104],"name":[106],"arguments.":[108],"This":[109],"synergistic":[110],"design":[111],"achieves":[112,160],"3-6x":[113],"end-to-end":[114],"speedup":[115,134],"(up":[116],"9.6x)":[118],"only":[120],"+8.2%":[121],"parallelization":[122],"overhead.":[123],"Experiments":[124],"on":[125,156],"five":[126],"benchmarks":[127],"across":[128],"Qwen-series":[129],"models":[130],"(0.5B-14B)":[131],"demonstrate":[132],"maintaining":[136],"competitive":[137],"or":[138],"improved":[139],"accuracy.":[140],"On":[141],"Mobile":[142],"Actions,":[143],"ST-Qwen-0.5B":[144],"outperforms":[145],"Google's":[146],"FunctionGemma":[147],"in":[148],"both":[149],"accuracy":[150],"consistency.":[153],"With":[154],"quantization":[155],"consumer-grade":[157],"GPU,":[158],"SimpleTool":[159],"61.2ms":[161],"P50":[162],"latency,":[163],"enabling":[164],"16":[165],"at":[169],"4B":[170],"model":[171],"scale,":[172],"bridging":[173],"the":[174],"gap":[175],"between":[176],"LLM":[177],"latency-critical":[181],"real-world":[182],"deployment.":[183]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2026-03-04T00:00:00"}