乐胖代购免代理版

{"id":"https://openalex.org/W4404348739","doi":"https://doi.org/10.48550/arxiv.2410.24175","title":"Constraint Back-translation Improves Complex Instruction Following of\n Large Language Models","display_name":"Constraint Back-translation Improves Complex Instruction Following of\n Large Language Models","publication_year":2024,"publication_date":"2024-10-31","ids":{"openalex":"https://openalex.org/W4404348739","doi":"https://doi.org/10.48550/arxiv.2410.24175"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.24175","pdf_url":"http://arxiv.org/pdf/2410.24175","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":["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":"http://arxiv.org/pdf/2410.24175","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113281911","display_name":"Yunjia Qi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi, Yunjia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079854850","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0001-5320-3117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peng, Hao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100775956","display_name":"Xiaozhi Wang","orcid":"https://orcid.org/0000-0002-4290-9023"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xiaozhi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187474","display_name":"Xu Bin","orcid":"https://orcid.org/0009-0009-9471-1279"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Bin","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":"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":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9904,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9904,"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/T10028","display_name":"Topic Modeling","score":0.9534,"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":[],"concepts":[{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.682243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67071337},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.62936115},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4984293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38781667},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3572217},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.33351088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15457979},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.11481044},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0821116},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.24175","pdf_url":"http://arxiv.org/pdf/2410.24175","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":["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":"http://arxiv.org/abs/2410.24175","pdf_url":"http://arxiv.org/pdf/2410.24175","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":["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/W986251431","https://openalex.org/W563727013","https://openalex.org/W2963420405","https://openalex.org/W2884465220","https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W2502468346","https://openalex.org/W2187485469","https://openalex.org/W2162155786","https://openalex.org/W2049792449"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2,164],"(LLMs)":[3],"struggle":[4],"to":[5,33,89,98,114,168],"follow":[6,41],"instructions":[7,32,43],"with":[8],"complex":[9,25,31,42,63,91,121,136],"constraints":[10,64,92,116],"in":[11,81,158],"format,":[12],"length,":[13],"etc.":[14],"Following":[15],"the":[16,47,77,96,99,109],"conventional":[17],"instruction-tuning":[18],"practice,":[19],"previous":[20],"works":[21],"conduct":[22],"post-training":[23,129],"on":[24,130,140],"instruction-response":[26,79,122],"pairs":[27,80],"generated":[28,50],"by":[29,95],"feeding":[30],"advanced":[34,38,87],"LLMs.":[35],"However,":[36],"even":[37],"LLMs":[39,88],"cannot":[40],"well,":[44],"thus":[45],"limiting":[46],"quality":[48],"of":[49],"data.":[51],"In":[52,108],"this":[53],"work,":[54],"we":[55,75,111],"find":[56,146],"that":[57,128,147],"existing":[58,82],"datasets":[59,83],"inherently":[60],"contain":[61],"implicit":[62],"and":[65,84,105,117,163],"propose":[66],"a":[67,119,153],"novel":[68],"data":[69,106],"generation":[70],"technique,":[71],"constraint":[72,148],"back-translation.":[73],"Specifically,":[74],"take":[76],"high-quality":[78,120],"only":[85],"adopt":[86,112],"add":[90],"already":[93],"met":[94],"responses":[97],"instructions,":[100],"which":[101],"naturally":[102],"reduces":[103],"costs":[104],"noise.":[107],"experiments,":[110],"Llama3-70B-Instruct":[113],"back-translate":[115],"create":[118],"dataset,":[123],"named":[124],"CRAB.":[125],"We":[126,144],"present":[127],"CRAB":[131],"improves":[132],"multiple":[133],"backbone":[134],"LLMs'":[135],"instruction-following":[137,142],"ability,":[138],"evaluated":[139],"extensive":[141],"benchmarks.":[143],"further":[145],"back-translation":[149],"also":[150],"serves":[151],"as":[152],"useful":[154],"auxiliary":[155],"training":[156],"objective":[157],"post-training.":[159],"Our":[160],"code,":[161],"data,":[162],"will":[165],"be":[166],"released":[167],"facilitate":[169],"future":[170],"research.":[171]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4404348739","counts_by_year":[],"updated_date":"2024-12-15T10:08:17.703311","created_date":"2024-11-14"}