{"id":"https://openalex.org/W7125373551","doi":"https://doi.org/10.48550/arxiv.2601.15013","title":"RadixMLP -- Intra-batch Deduplication for Causal Transformers","display_name":"RadixMLP -- Intra-batch Deduplication for Causal Transformers","publication_year":2026,"publication_date":"2026-01-21","ids":{"openalex":"https://openalex.org/W7125373551","doi":"https://doi.org/10.48550/arxiv.2601.15013"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.15013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15013","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2601.15013","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123595153","display_name":"Michael Feil","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feil, Michael","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lipp, Julius","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lipp, Julius","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/T11948","display_name":"Machine Learning in Materials Science","score":0.10109999775886536,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.10109999775886536,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.0697999969124794,"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"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.06909999996423721,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5304999947547913},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5044000148773193},{"id":"https://openalex.org/keywords/prefix","display_name":"Prefix","score":0.48429998755455017},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.45719999074935913},{"id":"https://openalex.org/keywords/data-deduplication","display_name":"Data deduplication","score":0.4465000033378601},{"id":"https://openalex.org/keywords/stateless-protocol","display_name":"Stateless protocol","score":0.39719998836517334},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3684000074863434},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.3684000074863434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7950000166893005},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5304999947547913},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.48429998755455017},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.45719999074935913},{"id":"https://openalex.org/C32587265","wikidata":"https://www.wikidata.org/wiki/Q1182260","display_name":"Data deduplication","level":2,"score":0.4465000033378601},{"id":"https://openalex.org/C103613024","wikidata":"https://www.wikidata.org/wiki/Q230924","display_name":"Stateless protocol","level":3,"score":0.39719998836517334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3959999978542328},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.388700008392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3305000066757202},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C2780945871","wikidata":"https://www.wikidata.org/wiki/Q194274","display_name":"Backup","level":2,"score":0.30880001187324524},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2930000126361847},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.28189998865127563},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2818000018596649},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.27090001106262207},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2628999948501587},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.25940001010894775}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.15013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15013","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.15013","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.15013","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":{"Batch":[0],"inference":[1,24],"workloads":[2],"for":[3,35,78],"causal":[4],"transformer":[5],"models":[6,108],"frequently":[7],"process":[8],"sequences":[9],"that":[10,47],"share":[11],"common":[12],"prefixes,":[13],"such":[14],"as":[15],"system":[16],"prompts,":[17],"few-shot":[18],"examples,":[19],"or":[20],"shared":[21,40,72,131],"queries.":[22],"Standard":[23],"engines":[25],"treat":[26],"each":[27],"sequence":[28],"independently,":[29],"redundantly":[30],"recomputing":[31],"identical":[32],"MLP":[33],"activations":[34],"every":[36],"copy":[37],"of":[38,52],"the":[39,49],"prefix.":[41],"We":[42],"introduce":[43],"RadixMLP,":[44],"a":[45,68,75,95],"technique":[46],"exploits":[48],"position-wise":[50,79],"nature":[51],"MLPs,":[53],"LayerNorms,":[54],"linear":[55],"projections,":[56],"and":[57,81,92],"embeddings":[58],"to":[59,67,110,123],"eliminate":[60],"this":[61],"redundancy.":[62],"RadixMLP":[63,89,113],"dynamically":[64],"maps":[65],"batches":[66],"prefix":[69],"trie,":[70],"gathering":[71],"segments":[73],"into":[74],"compressed":[76],"representation":[77],"computation":[80],"scattering":[82],"results":[83],"back":[84],"only":[85],"at":[86,137],"attention":[87],"boundaries.":[88],"is":[90,135],"stateless":[91],"operates":[93],"within":[94],"single":[96],"forward":[97],"pass.":[98],"In":[99],"end-to-end":[100],"serving":[101],"benchmarks":[102,128],"on":[103,126],"MS~MARCO":[104],"v1.1":[105],"with":[106,121,129],"Qwen3":[107],"(0.6B":[109],"8B":[111],"parameters),":[112],"achieves":[114],"1.44-1.59$\\times$":[115],"speedups":[116,125],"in":[117],"realistic":[118],"reranking":[119],"workloads,":[120],"up":[122],"$5\\times$":[124],"synthetic":[127],"longer":[130],"prefixes.":[132],"Our":[133],"code":[134],"available":[136],"https://github.com/michaelfeil/radix-mlp.":[138]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-01-23T00:00:00"}
