{"id":"https://openalex.org/W7138085625","doi":"https://doi.org/10.48550/arxiv.2603.15590","title":"Effective Distillation to Hybrid xLSTM Architectures","display_name":"Effective Distillation to Hybrid xLSTM Architectures","publication_year":2026,"publication_date":"2026-03-16","ids":{"openalex":"https://openalex.org/W7138085625","doi":"https://doi.org/10.48550/arxiv.2603.15590"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.15590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15590","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":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.15590","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079582051","display_name":"Lukas Hauzenberger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hauzenberger, Lukas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013884828","display_name":"Niklas Schmidinger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmidinger, Niklas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052543224","display_name":"Thomas Schmied","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Schmied, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129747026","display_name":"Anamaria-Roberta Hartl","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hartl, Anamaria-Roberta","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129701172","display_name":"David Stap","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stap, David","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069068123","display_name":"Pieter-Jan Hoedt","orcid":"https://orcid.org/0009-0006-7321-9718"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hoedt, Pieter-Jan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013704531","display_name":"Maximilian Beck","orcid":"https://orcid.org/0009-0005-7449-6189"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Beck, Maximilian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125565928","display_name":"Sebastian Bock","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"B\u00f6ck, Sebastian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079632405","display_name":"G\u00fcnter Klambauer","orcid":"https://orcid.org/0000-0003-2861-5552"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Klambauer, G\u00fcnter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053148274","display_name":"Sepp Hochreiter","orcid":"https://orcid.org/0000-0001-7449-2528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hochreiter, Sepp","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"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":0.1776999980211258,"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":0.1776999980211258,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.09640000015497208,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.09640000015497208,"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/pipeline","display_name":"Pipeline (software)","score":0.7777000069618225},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.7547000050544739},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5782999992370605},{"id":"https://openalex.org/keywords/downstream","display_name":"Downstream (manufacturing)","score":0.492900013923645},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.44110000133514404},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.4311000108718872}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.7777000069618225},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.7547000050544739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6218000054359436},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5782999992370605},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.44110000133514404},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.4311000108718872},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3849000036716461},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.36649999022483826},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.3009999990463257},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.29159998893737793},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.15590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15590","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":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.15590","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.15590","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":"article"},"sustainable_development_goals":[{"score":0.7801890969276428,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"There":[0],"have":[1],"been":[2],"numerous":[3],"attempts":[4],"to":[5,26],"distill":[6],"quadratic":[7],"attention-based":[8],"large":[9],"language":[10],"models":[11,23,103],"(LLMs)":[12],"into":[13,87],"sub-quadratic":[14],"linearized":[15,83],"architectures.":[16],"However,":[17],"despite":[18],"extensive":[19],"research,":[20],"such":[21],"distilled":[22],"often":[24],"fail":[25],"match":[27],"the":[28,41,93,105,120],"performance":[29],"of":[30,43,51,61,95,119],"their":[31],"teacher":[32,58],"LLMs":[33],"on":[34,59,127],"various":[35],"downstream":[36,129],"tasks.":[37,62,130],"We":[38,75,91],"set":[39],"out":[40],"goal":[42],"lossless":[44],"distillation,":[45],"which":[46],"we":[47,66],"define":[48],"in":[49],"terms":[50],"tolerance-corrected":[52],"Win-and-Tie":[53],"rates":[54],"between":[55],"student":[56],"and":[57,101,108,123,140],"sets":[60],"To":[63],"this":[64,96],"end,":[65],"introduce":[67],"an":[68,77,134],"effective":[69],"distillation":[70],"pipeline":[71,97],"for":[72,143],"xLSTM-based":[73,115],"students.":[74],"propose":[76],"additional":[78],"merging":[79],"stage,":[80],"where":[81],"individually":[82],"experts":[84],"are":[85,133],"combined":[86],"a":[88],"single":[89],"model.":[90],"show":[92],"effectiveness":[94],"by":[98],"distilling":[99],"base":[100],"instruction-tuned":[102],"from":[104],"Llama,":[106],"Qwen,":[107],"Olmo":[109],"families.":[110],"In":[111],"many":[112],"settings,":[113],"our":[114],"students":[116],"recover":[117],"most":[118],"teacher's":[121],"performance,":[122],"even":[124],"exceed":[125],"it":[126],"some":[128],"Our":[131],"contributions":[132],"important":[135],"step":[136],"towards":[137],"more":[138],"energy-efficient":[139],"cost-effective":[141],"replacements":[142],"transformer-based":[144],"LLMs.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-18T00:00:00"}