{"id":"https://openalex.org/W4410068089","doi":"https://doi.org/10.1145/3715014.3722067","title":"LightLLM: A Versatile Large Language Model for Predictive Light Sensing","display_name":"LightLLM: A Versatile Large Language Model for Predictive Light Sensing","publication_year":2025,"publication_date":"2025-05-04","ids":{"openalex":"https://openalex.org/W4410068089","doi":"https://doi.org/10.1145/3715014.3722067"},"language":"en","primary_location":{"id":"doi:10.1145/3715014.3722067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715014.3722067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101898769","display_name":"Jiawei Hu","orcid":"https://orcid.org/0000-0003-0336-4144"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jiawei Hu","raw_affiliation_strings":["UNSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103049494","display_name":"Hong Jia","orcid":"https://orcid.org/0000-0002-6047-4158"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hong Jia","raw_affiliation_strings":["University of Melbourne, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Melbourne, Sydney, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060359558","display_name":"Mahbub Hassan","orcid":"https://orcid.org/0000-0002-3417-8590"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mahbub Hassan","raw_affiliation_strings":["University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052731721","display_name":"Lina Yao","orcid":"https://orcid.org/0000-0002-4149-839X"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Lina Yao","raw_affiliation_strings":["CSIRO, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO, Sydney, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016833682","display_name":"Branislav Kus\u00fd","orcid":"https://orcid.org/0000-0001-9082-3243"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Brano Kusy","raw_affiliation_strings":["CSIRO, Brisbane, Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO, Brisbane, Australia","institution_ids":["https://openalex.org/I1292875679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042014818","display_name":"Wen Hu","orcid":"https://orcid.org/0000-0002-4076-1811"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wen Hu","raw_affiliation_strings":["UNSW, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"UNSW, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101898769"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":2.5568,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.89099908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9502000212669373,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9502000212669373,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9215999841690063,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9053999781608582,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/computer-science","display_name":"Computer science","score":0.7210692763328552},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4478866457939148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34146198630332947},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.321158230304718}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7210692763328552},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4478866457939148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34146198630332947},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.321158230304718}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3715014.3722067","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3715014.3722067","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1593532658","https://openalex.org/W2003618307","https://openalex.org/W2148101551","https://openalex.org/W2395579298","https://openalex.org/W2547405038","https://openalex.org/W2549906944","https://openalex.org/W2550143307","https://openalex.org/W2755525356","https://openalex.org/W2763565886","https://openalex.org/W2769621453","https://openalex.org/W2907492528","https://openalex.org/W2963986342","https://openalex.org/W2964791524","https://openalex.org/W2977110886","https://openalex.org/W2998508940","https://openalex.org/W3010025336","https://openalex.org/W3035558455","https://openalex.org/W3041133507","https://openalex.org/W3096831136","https://openalex.org/W3168997536","https://openalex.org/W3177441189","https://openalex.org/W3185341429","https://openalex.org/W3203709253","https://openalex.org/W4213041519","https://openalex.org/W4299881210","https://openalex.org/W4299957740","https://openalex.org/W4361297243","https://openalex.org/W4385373745","https://openalex.org/W4387086487","https://openalex.org/W4391590983","https://openalex.org/W4394673632","https://openalex.org/W4399324146","https://openalex.org/W4401176007","https://openalex.org/W4404034620"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W3204019825"],"abstract_inverted_index":{"We":[0,101,150],"propose":[1],"LightLLM,":[2],"a":[3,19,27,35,43],"model":[4,71],"that":[5,125,153],"fine":[6],"tunes":[7],"pre-trained":[8,54],"large":[9],"language":[10],"models":[11],"(LLMs)":[12],"for":[13,105,167],"light-based":[14,110],"sensing":[15,92,108],"tasks.":[16],"It":[17],"integrates":[18],"sensor":[20,168],"data":[21,169],"encoder":[22],"to":[23,30,38,72,74,89],"extract":[24],"key":[25],"features,":[26],"contextual":[28],"prompt":[29],"provide":[31],"environmental":[32],"information,":[33],"and":[34,98,115,137],"fusion":[36,170],"layer":[37],"combine":[39],"these":[40],"inputs":[41],"into":[42],"unified":[44],"representation.":[45],"This":[46,82],"combined":[47],"input":[48],"is":[49],"then":[50],"processed":[51],"by":[52],"the":[53,63,70,161],"LLM,":[55],"which":[56],"remains":[57],"frozen":[58],"while":[59],"being":[60],"fine-tuned":[61],"through":[62],"addition":[64],"of":[65,87,163],"lightweight,":[66],"trainable":[67],"components,":[68],"allowing":[69],"adapt":[73],"new":[75],"tasks":[76,93],"without":[77],"altering":[78],"its":[79],"original":[80],"parameters.":[81],"approach":[83],"enables":[84],"flexible":[85],"adaptation":[86],"LLM":[88],"specialized":[90,165],"light":[91,107],"with":[94,157,171],"minimal":[95],"computational":[96],"overhead":[97],"retraining":[99],"effort.":[100],"have":[102],"implemented":[103],"LightLLM":[104,126,154],"three":[106],"tasks:":[109],"localization,":[111],"outdoor":[112],"solar":[113,117,142],"forecasting,":[114],"indoor":[116,141],"estimation.":[118],"Using":[119],"real-world":[120],"experimental":[121],"datasets,":[122],"we":[123],"demonstrate":[124,152],"significantly":[127],"outperforms":[128,155],"state-of-the-art":[129],"methods,":[130],"achieving":[131],"4.4x":[132],"improvement":[133,139],"in":[134,140,146],"localization":[135],"accuracy":[136],"3.4x":[138],"estimation":[143],"when":[144],"tested":[145],"previously":[147],"unseen":[148],"environments.":[149],"further":[151],"ChatGPT-4":[156],"direct":[158],"prompting,":[159],"highlighting":[160],"advantages":[162],"LightLLM's":[164],"architecture":[166],"textual":[172],"prompts.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}