{"id":"https://openalex.org/W4415273582","doi":"https://doi.org/10.1145/3774904.3792280","title":"Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS","display_name":"Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W4415273582","doi":"https://doi.org/10.1145/3774904.3792280"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792280","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792280","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102611893","display_name":"Liangwei Nathan Zheng","orcid":"https://orcid.org/0009-0007-2793-8110"},"institutions":[{"id":"https://openalex.org/I2802355861","display_name":"Australian Institute of Business","ror":"https://ror.org/01wf5jq34","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802355861"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liangwei Nathan Zheng","raw_affiliation_strings":["Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0009-0007-2793-8110","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I2802355861","https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenhao Liang","orcid":"https://orcid.org/0009-0001-2817-7719"},"institutions":[{"id":"https://openalex.org/I2802355861","display_name":"Australian Institute of Business","ror":"https://ror.org/01wf5jq34","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802355861"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenhao Liang","raw_affiliation_strings":["Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0009-0001-2817-7719","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I2802355861","https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070697660","display_name":"Wei Emma Zhang","orcid":"https://orcid.org/0000-0002-0406-5974"},"institutions":[{"id":"https://openalex.org/I2802355861","display_name":"Australian Institute of Business","ror":"https://ror.org/01wf5jq34","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802355861"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wei Emma Zhang","raw_affiliation_strings":["Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0406-5974","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I2802355861","https://openalex.org/I5681781"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016620131","display_name":"Miao Xu","orcid":"https://orcid.org/0000-0001-9409-6960"},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Miao Xu","raw_affiliation_strings":["The University of Queensland, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9409-6960","affiliations":[{"raw_affiliation_string":"The University of Queensland, Brisbane, Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006000047","display_name":"Olaf Maennel","orcid":"https://orcid.org/0000-0002-9621-0787"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Olaf Maennel","raw_affiliation_strings":["School of Computer Science and Information Technology, Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0002-9621-0787","affiliations":[{"raw_affiliation_string":"School of Computer Science and Information Technology, Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053697754","display_name":"Weitong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2802355861","display_name":"Australian Institute of Business","ror":"https://ror.org/01wf5jq34","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802355861"]},{"id":"https://openalex.org/I5681781","display_name":"The University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Weitong Chen","raw_affiliation_strings":["Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia"],"raw_orcid":"https://orcid.org/0000-0003-1001-7925","affiliations":[{"raw_affiliation_string":"Australian Institute for Machine Learning, Adelaide University, Adelaide, Australia","institution_ids":["https://openalex.org/I2802355861","https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00627145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3764","last_page":"3775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12810","display_name":"Real-time simulation and control systems","score":0.9527999758720398,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10559","display_name":"Particle Accelerators and Free-Electron Lasers","score":0.9215999841690063,"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/T11808","display_name":"Superconducting Materials and Applications","score":0.909600019454956,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6111000180244446},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5631999969482422},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5170999765396118},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5120000243186951},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4713999927043915},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.4620000123977661},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.36390000581741333},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.3549000024795532}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567999720573425},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6111000180244446},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5631999969482422},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5170999765396118},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5120000243186951},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4713999927043915},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4156000018119812},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.3041999936103821},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C30014739","wikidata":"https://www.wikidata.org/wiki/Q5159445","display_name":"Cone (formal languages)","level":2,"score":0.2872999906539917},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.2671000063419342},{"id":"https://openalex.org/C13355873","wikidata":"https://www.wikidata.org/wiki/Q2920850","display_name":"Connection (principal bundle)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2572999894618988},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2517000138759613}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3774904.3792280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792280","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.12847","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.12847","pdf_url":"https://arxiv.org/pdf/2510.12847","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2510.12847","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2510.12847","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":"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:10.1145/3774904.3792280","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792280","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-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":{"Pseudo-Alignment":[0],"is":[1,30],"a":[2,47,60,99,150,179],"pervasive":[3],"challenge":[4],"in":[5,33,56,68,111,178,213],"many":[6],"large":[7],"language":[8,132,156],"models":[9,23],"for":[10,36,153],"time":[11,121,154],"series":[12,122],"(LLM4TS)":[13],"models,":[14],"often":[15],"causing":[16],"them":[17],"to":[18,21,64,103,124,137],"underperform":[19],"compared":[20],"linear":[22],"or":[24],"randomly":[25],"initialised":[26],"backbones.":[27],"However,":[28],"there":[29],"limited":[31],"discussion":[32],"the":[34,37,51,65,76,86,120,128,135,167],"community":[35],"reasons":[38],"that":[39,72,166],"pseudo-alignment":[40,55,63,73],"occurs.":[41],"In":[42,93],"this":[43,105,117],"work,":[44],"we":[45,95],"conduct":[46],"thorough":[48],"investigation":[49],"into":[50,204],"root":[52],"causes":[53],"of":[54,62,78,90,131],"LLM4TS":[57,113,188,207],"and":[58,85,107,155,190,209],"build":[59],"connection":[61],"cone":[66,79],"effect":[67,80],"LLM.":[69],"We":[70],"demonstrate":[71],"arises":[74],"from":[75],"interplay":[77],"within":[81],"pretrained":[82],"LLM":[83],"components":[84],"intrinsically":[87],"low-dimensional":[88],"manifold":[89,123],"time-series":[91],"data.":[92],"addition,":[94],"also":[96],"introduce":[97],"TimeSUP,":[98],"novel":[100],"technique":[101],"designed":[102],"mitigate":[104],"issue":[106],"improve":[108],"forecast":[109],"performance":[110],"existing":[112,206],"approaches.":[114],"TimeSUP":[115,184],"addresses":[116],"by":[118],"increasing":[119],"more":[125],"closely":[126],"match":[127],"intrinsic":[129],"dimension":[130],"embeddings,":[133],"allowing":[134],"model":[136,168],"distinguish":[138],"temporal":[139],"signals":[140],"clearly":[141],"while":[142,174],"still":[143],"capturing":[144],"shared":[145],"structures":[146],"across":[147],"modalities.":[148],"As":[149],"result,":[151],"representations":[152],"tokens":[157],"remain":[158],"distinct":[159],"yet":[160],"exhibit":[161],"high":[162],"cosine":[163],"similarity,":[164],"signifying":[165],"preserves":[169],"each":[170],"modality's":[171],"unique":[172],"features":[173],"learning":[175],"their":[176],"commonalities":[177],"unified":[180],"embedding":[181],"space.":[182],"Empirically,":[183],"consistently":[185],"outperforms":[186],"state-of-the-art":[187],"methods":[189],"other":[191],"lightweight":[192],"baselines":[193],"on":[194],"long-term":[195],"forecasting":[196,214],"performance.":[197,215],"Furthermore,":[198],"it":[199],"can":[200],"be":[201],"seamlessly":[202],"integrated":[203],"four":[205],"pipelines":[208],"delivers":[210],"significant":[211],"improvements":[212]},"counts_by_year":[],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-17T00:00:00"}
