{"id":"https://openalex.org/W4399534542","doi":"https://doi.org/10.1145/3662006.3662065","title":"WiP: Towards Light Adaptation of Large Language Models For Personal Hardware","display_name":"WiP: Towards Light Adaptation of Large Language Models For Personal Hardware","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4399534542","doi":"https://doi.org/10.1145/3662006.3662065"},"language":"en","primary_location":{"id":"doi:10.1145/3662006.3662065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3662006.3662065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3662006.3662065","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Edge and Mobile Foundation Models","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3662006.3662065","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021655551","display_name":"Liangyu Wang","orcid":"https://orcid.org/0009-0006-4328-4287"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Liangyu Wang","raw_affiliation_strings":["KAUST, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0009-0006-4328-4287","affiliations":[{"raw_affiliation_string":"KAUST, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011648324","display_name":"Junxiao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Junxiao Wang","raw_affiliation_strings":["KAUST, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-7263-174X","affiliations":[{"raw_affiliation_string":"KAUST, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100401482","display_name":"Di Wang","orcid":"https://orcid.org/0000-0003-4908-0243"},"institutions":[{"id":"https://openalex.org/I71920554","display_name":"King Abdullah University of Science and Technology","ror":"https://ror.org/01q3tbs38","country_code":"SA","type":"education","lineage":["https://openalex.org/I71920554"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Di Wang","raw_affiliation_strings":["KAUST, Thuwal, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0003-4908-0243","affiliations":[{"raw_affiliation_string":"KAUST, Thuwal, Saudi Arabia","institution_ids":["https://openalex.org/I71920554"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021655551"],"corresponding_institution_ids":["https://openalex.org/I71920554"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07290039,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9975000023841858,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9975000023841858,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/adaptation","display_name":"Adaptation (eye)","score":0.8107945919036865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447457313537598},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3870781362056732},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.36829209327697754},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3626241981983185},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10049259662628174}],"concepts":[{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.8107945919036865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447457313537598},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3870781362056732},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.36829209327697754},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3626241981983185},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10049259662628174},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3662006.3662065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3662006.3662065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3662006.3662065","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Edge and Mobile Foundation Models","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3662006.3662065","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3662006.3662065","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3662006.3662065","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Edge and Mobile Foundation Models","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399534542.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W3034344052","https://openalex.org/W3044438666","https://openalex.org/W3102659883","https://openalex.org/W3174389152","https://openalex.org/W3212214438","https://openalex.org/W4283828996","https://openalex.org/W4385562710","https://openalex.org/W4385567216","https://openalex.org/W4388032243","https://openalex.org/W6804296794"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0],"large":[1,90],"language":[2],"models":[3],"(LLMs)":[4],"that":[5,42,95,109,149],"everyone":[6],"is":[7],"using":[8,25],"are":[9,70,96],"not":[10],"deployed":[11],"locally.":[12],"Users":[13],"need":[14],"to":[15,22,33,38,47,50,81,154],"send":[16],"relatively":[17],"private":[18,29],"and":[19,30,54,66,73,98],"important":[20,31],"data":[21,32],"LLM":[23,34,49,153],"when":[24],"it.":[26],"Handing":[27],"over":[28],"will":[35],"cause":[36],"people":[37,44],"worry,":[39],"especially":[40],"now":[41],"many":[43],"have":[45],"begun":[46],"use":[48],"deal":[51],"with":[52],"life":[53],"work":[55,104],"affairs.":[56],"Such":[57],"concerns":[58],"cannot":[59],"be":[60],"easily":[61],"dispelled":[62],"by":[63],"various":[64],"guarantees":[65],"agreements.":[67],"However,":[68],"LLMs":[69],"often":[71],"resource-intensive":[72],"computationally":[74],"demanding,":[75],"making":[76,125],"the":[77,136,151],"transition":[78],"from":[79],"server-side":[80],"device-side":[82],"difficult":[83],"because":[84],"LLM's":[85],"self-attention":[86],"module":[87],"contains":[88],"a":[89,145,163],"number":[91],"of":[92,113,121,138,141],"tensor":[93],"multiplications":[94],"heavy":[97],"inefficient":[99,128],"for":[100],"hardware.":[101],"While":[102],"previous":[103],"proposed":[105],"approximate":[106],"neural":[107,115,147,169],"operators":[108],"enable":[110],"hardware-efficient":[111],"implementation":[112],"multiplication-less":[114],"networks,":[116],"they":[117],"introduce":[118],"new":[119,146],"challenges":[120],"significant":[122],"accuracy":[123,157],"loss,":[124],"these":[126],"methods":[127],"in":[129],"practice.":[130],"In":[131],"this":[132],"paper,":[133],"we":[134],"examine":[135],"problem":[137],"light":[139],"adaptation":[140],"LLMs.":[142],"We":[143],"propose":[144],"operator":[148,170],"enables":[150],"adapted":[152],"obtain":[155],"original":[156],"without":[158],"fine-tuning":[159,165],"or":[160],"only":[161],"requiring":[162],"few":[164],"steps,":[166],"while":[167],"our":[168],"has":[171],"high":[172],"hardware":[173],"inference":[174],"efficiency.":[175]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
