{"id":"https://openalex.org/W4391463106","doi":"https://doi.org/10.48550/arxiv.2401.18058","title":"LongAlign: A Recipe for Long Context Alignment of Large Language Models","display_name":"LongAlign: A Recipe for Long Context Alignment of Large Language Models","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391463106","doi":"https://doi.org/10.48550/arxiv.2401.18058"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.18058","pdf_url":"https://arxiv.org/pdf/2401.18058","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2401.18058","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058973687","display_name":"Yushi Bai","orcid":"https://orcid.org/0000-0003-1295-1615"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bai, Yushi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011372729","display_name":"Xin Lv","orcid":"https://orcid.org/0009-0009-8062-0675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lv, Xin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102750959","display_name":"Jiajie Zhang","orcid":"https://orcid.org/0000-0003-2720-9843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jiajie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072700532","display_name":"Yuze He","orcid":"https://orcid.org/0009-0005-1575-6112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Yuze","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002710782","display_name":"Ji Qi","orcid":"https://orcid.org/0000-0001-7948-579X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Ji","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060498828","display_name":"Lei Hou","orcid":"https://orcid.org/0000-0002-8907-3526"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hou, Lei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044791875","display_name":"Jie Tang","orcid":"https://orcid.org/0000-0003-3487-4593"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Jie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052284218","display_name":"Yuxiao Dong","orcid":"https://orcid.org/0000-0002-6092-2002"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong, Yuxiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5003324011","display_name":"Juanzi Li","orcid":"https://orcid.org/0000-0002-6244-0664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Juanzi","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"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":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9531,"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":0.9531,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9141,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recipe","display_name":"Recipe","score":0.96223825}],"concepts":[{"id":"https://openalex.org/C2778671685","wikidata":"https://www.wikidata.org/wiki/Q219239","display_name":"Recipe","level":2,"score":0.96223825},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6530757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.51749635},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38987315},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32322466},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.20265362},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.13910761},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.08804163}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.18058","pdf_url":"https://arxiv.org/pdf/2401.18058","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2401.18058","pdf_url":"https://arxiv.org/pdf/2401.18058","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_indexed_in_scopus":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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386893202","https://openalex.org/W3207562294","https://openalex.org/W3195543079","https://openalex.org/W3161239248","https://openalex.org/W2748952813","https://openalex.org/W2740680361","https://openalex.org/W2604742737","https://openalex.org/W258429745","https://openalex.org/W2561508161","https://openalex.org/W2098178683"],"abstract_inverted_index":{"Extending":[0],"large":[1],"language":[2],"models":[3,152],"to":[4,73,91,95,135],"effectively":[5],"handle":[6],"long":[7,35,42,61,130],"contexts":[8],"requires":[9],"instruction":[10,29],"fine-tuning":[11,77],"on":[12,78,114],"input":[13],"sequences":[14,100],"of":[15,27,57,116],"similar":[16],"length.":[17,119],"To":[18,47],"address":[19],"this,":[20],"we":[21,39,65,85,105],"present":[22],"LongAlign":[23,123],"--":[24],"a":[25,41,54,87],"recipe":[26],"the":[28,49,67,93,96,107],"data,":[30,149],"training,":[31],"and":[32,69,150],"evaluation":[33],"for":[34,110,127],"context":[36,62,131],"alignment.":[37],"First,":[38],"construct":[40],"instruction-following":[43,112],"dataset":[44],"using":[45],"Self-Instruct.":[46],"ensure":[48],"data":[50,79],"diversity,":[51],"it":[52],"covers":[53],"broad":[55],"range":[56],"tasks":[58,132],"from":[59],"various":[60],"sources.":[63],"Second,":[64],"adopt":[66],"packing":[68,102],"sorted":[70],"batching":[71],"strategies":[72],"speed":[74],"up":[75,134],"supervised":[76],"with":[80],"varied":[81],"length":[82],"distributions.":[83],"Additionally,":[84],"develop":[86],"loss":[88,97],"weighting":[89],"method":[90],"balance":[92],"contribution":[94],"across":[98],"different":[99],"during":[101],"training.":[103],"Third,":[104],"introduce":[106],"LongBench-Chat":[108],"benchmark":[109],"evaluating":[111],"capabilities":[113],"queries":[115],"10k-100k":[117],"in":[118,129,142],"Experiments":[120],"show":[121],"that":[122],"outperforms":[124],"existing":[125],"recipes":[126],"LLMs":[128],"by":[133],"30\\%,":[136],"while":[137],"also":[138],"maintaining":[139],"their":[140],"proficiency":[141],"handling":[143],"short,":[144],"generic":[145],"tasks.":[146],"The":[147],"code,":[148],"long-aligned":[151],"are":[153],"open-sourced":[154],"at":[155],"https://github.com/THUDM/LongAlign.":[156]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391463106","counts_by_year":[],"updated_date":"2025-04-20T13:12:11.650406","created_date":"2024-02-02"}