{"id":"https://openalex.org/W4405480396","doi":"https://doi.org/10.32388/kpa6vi","title":"Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism","display_name":"Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism","publication_year":2024,"publication_date":"2024-12-17","ids":{"openalex":"https://openalex.org/W4405480396","doi":"https://doi.org/10.32388/kpa6vi"},"language":"en","primary_location":{"id":"doi:10.32388/kpa6vi","doi":"https://doi.org/10.32388/kpa6vi","is_oa":true,"landing_page_url":"https://doi.org/10.32388/kpa6vi","pdf_url":"https://www.qeios.com/read/KPA6VI/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qeios","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.qeios.com/read/KPA6VI/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yimin Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405271865","display_name":"Futurewei Technologies (United States)","ror":"https://ror.org/036gec653","country_code":"US","type":"company","lineage":["https://openalex.org/I4405271865"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yimin Tang","raw_affiliation_strings":["Futurewei Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Futurewei Technologies Inc","institution_ids":["https://openalex.org/I4405271865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111341431","display_name":"Y. Xu","orcid":"https://orcid.org/0009-0009-5957-4096","observed_orcids":["https://orcid.org/0009-0009-5957-4096"]},"institutions":[{"id":"https://openalex.org/I4405271865","display_name":"Futurewei Technologies (United States)","ror":"https://ror.org/036gec653","country_code":"US","type":"company","lineage":["https://openalex.org/I4405271865"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yurong Xu","raw_affiliation_strings":["Futurewei Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Futurewei Technologies Inc","institution_ids":["https://openalex.org/I4405271865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101890825","display_name":"Ning Yan","orcid":"https://orcid.org/0009-0005-8814-888X","observed_orcids":["https://orcid.org/0009-0005-8814-888X","https://orcid.org/0000-0001-8349-9692"]},"institutions":[{"id":"https://openalex.org/I4405271865","display_name":"Futurewei Technologies (United States)","ror":"https://ror.org/036gec653","country_code":"US","type":"company","lineage":["https://openalex.org/I4405271865"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Yan","raw_affiliation_strings":["Futurewei Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Futurewei Technologies Inc","institution_ids":["https://openalex.org/I4405271865"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073465014","display_name":"Masood Mortazavi","orcid":"https://orcid.org/0009-0000-1825-244X","observed_orcids":["https://orcid.org/0009-0000-1825-244X"]},"institutions":[{"id":"https://openalex.org/I4405271865","display_name":"Futurewei Technologies (United States)","ror":"https://ror.org/036gec653","country_code":"US","type":"company","lineage":["https://openalex.org/I4405271865"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Masood Mortazavi","raw_affiliation_strings":["Futurewei Technologies Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Futurewei Technologies Inc","institution_ids":["https://openalex.org/I4405271865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4405271865"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":3,"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":0.9146000146865845,"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":0.9146000146865845,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0706000030040741,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.005799999926239252,"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/long-context-understanding","display_name":"long-context understanding","score":0.7269999980926514},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.7599999904632568},{"id":"https://openalex.org/keywords/retrieval-augmented-generation","display_name":"retrieval-augmented generation","score":0.9100000262260437},{"id":"https://openalex.org/keywords/short-term-memory","display_name":"short-term memory","score":0.9369999766349792},{"id":"https://openalex.org/keywords/levels-of-abstraction","display_name":"levels of abstraction","score":0.3779999911785126},{"id":"https://openalex.org/keywords/long-document-retrieval","display_name":"long document retrieval","score":0.46700000762939453}],"concepts":[{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.7326493859291077},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.710183322429657},{"id":"https://openalex.org/C184670325","wikidata":"https://www.wikidata.org/wiki/Q512604","display_name":"Loop (graph theory)","level":2,"score":0.569430410861969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38400760293006897},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14744892716407776},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1386762261390686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1157819926738739},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.32388/kpa6vi","doi":"https://doi.org/10.32388/kpa6vi","is_oa":true,"landing_page_url":"https://doi.org/10.32388/kpa6vi","pdf_url":"https://www.qeios.com/read/KPA6VI/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qeios","raw_type":"posted-content"},{"id":"pmh:oai:arXiv.org:2410.12859","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.12859","pdf_url":"https://arxiv.org/pdf/2410.12859","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2410.12859","doi":"https://doi.org/10.48550/arxiv.2410.12859","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2410.12859","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,"listed_in":[],"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"}],"best_oa_location":{"id":"doi:10.32388/kpa6vi","doi":"https://doi.org/10.32388/kpa6vi","is_oa":true,"landing_page_url":"https://doi.org/10.32388/kpa6vi","pdf_url":"https://www.qeios.com/read/KPA6VI/pdf","source":{"id":"https://openalex.org/S4210177074","display_name":"Qeios","issn_l":"2632-3834","issn":["2632-3834"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["anvur-scientific","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qeios","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405480396.pdf","grobid_xml":"https://content.openalex.org/works/W4405480396.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W2167839676","https://openalex.org/W2626778328","https://openalex.org/W2782096898","https://openalex.org/W2970476646","https://openalex.org/W2970641574","https://openalex.org/W2971869958","https://openalex.org/W3001279689","https://openalex.org/W3027879771","https://openalex.org/W3030163527","https://openalex.org/W3155257748","https://openalex.org/W3186804217","https://openalex.org/W3186932523","https://openalex.org/W3197746952","https://openalex.org/W3199761064","https://openalex.org/W3209717315","https://openalex.org/W3214263637","https://openalex.org/W4226484906","https://openalex.org/W4300840296","https://openalex.org/W4301243929","https://openalex.org/W4315882015","https://openalex.org/W4322718191","https://openalex.org/W4327810158","https://openalex.org/W4385571484","https://openalex.org/W4385573668","https://openalex.org/W4387561528","https://openalex.org/W4387800173","https://openalex.org/W4390041933","https://openalex.org/W4391463108","https://openalex.org/W4393147158","https://openalex.org/W4399837985","https://openalex.org/W4401042391","https://openalex.org/W4401306886","https://openalex.org/W4415795958","https://openalex.org/W6858023062"],"related_works":["https://openalex.org/W4403344273","https://openalex.org/W7215070351","https://openalex.org/W4387390366","https://openalex.org/W4407759431","https://openalex.org/W7138462416","https://openalex.org/W4407759903","https://openalex.org/W6929611800","https://openalex.org/W4412888731","https://openalex.org/W4404354805","https://openalex.org/W4404783788"],"abstract_inverted_index":{"Transformers":[0],"have":[1],"a":[2,41,75],"quadratic":[3],"scaling":[4],"of":[5,18,120],"computational":[6],"complexity":[7],"with":[8,66,164],"input":[9,14],"size,":[10],"which":[11,61,139],"limits":[12],"the":[13,58,92,109,124,127,145,154],"context":[15,175],"window":[16],"size":[17],"large":[19],"language":[20],"models":[21,33],"(LLMs)":[22],"in":[23,132,156,173],"both":[24],"training":[25],"and":[26,184],"inference.":[27],"Meanwhile,":[28],"retrieval-augmented":[29,170],"generation":[30],"(RAG)":[31],"besed":[32],"can":[34],"better":[35],"handle":[36],"longer":[37],"contexts":[38],"by":[39],"using":[40],"retrieval":[42,55,149,163],"system":[43],"to":[44,143],"filter":[45],"out":[46],"unnecessary":[47],"information.":[48],"However,":[49],"most":[50],"RAG":[51,110],"methods":[52],"only":[53,90],"perform":[54],"based":[56,88],"on":[57,91,98,123],"initial":[59],"query,":[60],"may":[62],"not":[63,89],"work":[64],"well":[65],"complex":[67],"questions":[68],"that":[69,162],"require":[70],"deeper":[71],"reasoning.":[72],"We":[73],"introduce":[74],"novel":[76],"approach,":[77],"Inner":[78],"Loop":[79],"Memory":[80,137],"Augmented":[81],"Tree":[82],"Retrieval":[83],"(ILM-TR),":[84],"involving":[85],"inner-loop":[86],"queries,":[87],"query":[93],"question":[94],"itself":[95],"but":[96],"also":[97],"intermediate":[99],"findings.":[100],"At":[101],"inference":[102],"time,":[103],"our":[104],"model":[105],"retrieves":[106],"information":[107,125],"from":[108,114],"system,":[111],"integrating":[112],"data":[113],"lengthy":[115],"documents":[116],"at":[117],"various":[118],"levels":[119],"abstraction.":[121],"Based":[122],"retrieved,":[126],"LLM":[128],"generates":[129],"texts":[130],"stored":[131],"an":[133],"area":[134],"named":[135],"Short-Term":[136],"(STM)":[138],"is":[140,151],"then":[141],"used":[142],"formulate":[144],"next":[146],"query.":[147],"This":[148],"process":[150],"repeated":[152],"until":[153],"text":[155],"STM":[157,165],"converged.":[158],"Our":[159],"experiments":[160],"demonstrate":[161],"offers":[166],"improvements":[167],"over":[168],"traditional":[169],"LLMs,":[171],"particularly":[172],"long":[174],"tests":[176],"such":[177],"as":[178],"Multi-Needle":[179],"In":[180],"A":[181],"Haystack":[182],"(M-NIAH)":[183],"BABILong.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-12-18T00:00:00"}