{"id":"https://openalex.org/W4412888375","doi":"https://doi.org/10.18653/v1/2025.findings-acl.710","title":"LlamaPIE: Proactive In-Ear Conversation Assistants","display_name":"LlamaPIE: Proactive In-Ear Conversation Assistants","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888375","doi":"https://doi.org/10.18653/v1/2025.findings-acl.710"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.710","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.710","pdf_url":"https://aclanthology.org/2025.findings-acl.710.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.710.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091414943","display_name":"Tuochao Chen","orcid":"https://orcid.org/0000-0002-8031-5066"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuochao Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119181407","display_name":"Nicholas Scott Batchelder","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas Scott Batchelder","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060080064","display_name":"Alisa Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alisa Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5011077730","display_name":"Shyamnath Gollakota","orcid":"https://orcid.org/0000-0002-9863-3054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shyamnath Gollakota","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"13801","last_page":"13824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9934999942779541,"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/T12031","display_name":"Speech and dialogue systems","score":0.9934999942779541,"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/T12207","display_name":"Assistive Technology in Communication and Mobility","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/3609","display_name":"Occupational Therapy"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12128","display_name":"AI in Service Interactions","score":0.929099977016449,"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/conversation","display_name":"Conversation","score":0.9205736517906189},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489144563674927},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37491855025291443},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.2421669363975525},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18789881467819214}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.9205736517906189},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489144563674927},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37491855025291443},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.2421669363975525},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18789881467819214}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.710","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.710","pdf_url":"https://aclanthology.org/2025.findings-acl.710.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.710","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.710","pdf_url":"https://aclanthology.org/2025.findings-acl.710.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888375.pdf","grobid_xml":"https://content.openalex.org/works/W4412888375.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3210777354"],"abstract_inverted_index":{"We":[0],"introduce":[1],"LLAMAPIE,":[2],"the":[3,33,58,94,125,141],"first":[4],"real-time":[5],"proactive":[6,126],"assistant":[7,30,127],"designed":[8],"to":[9,47,86,145],"enhance":[10,53,146],"human":[11],"conversations":[12],"through":[13],"discreet,":[14],"concise":[15,50],"guidance":[16],"delivered":[17],"via":[18],"hearable":[19],"devices.Unlike":[20],"traditional":[21],"language":[22],"models":[23],"that":[24,52,83,92],"require":[25],"explicit":[26],"user":[27,36,59],"invocation,":[28],"this":[29],"operates":[31],"in":[32,105],"background,":[34],"anticipating":[35],"needs":[37],"without":[38],"interrupting":[39],"conversations.We":[40],"address":[41],"several":[42],"challenges,":[43],"including":[44],"determining":[45],"when":[46,85],"respond,":[48],"crafting":[49],"responses":[51],"conversations,":[54],"leveraging":[55],"knowledge":[56],"of":[57,143],"for":[60,124],"context-aware":[61],"assistance,":[62],"and":[63,75,88,135,149],"realtime,":[64],"on-device":[65],"processing.To":[66],"achieve":[67],"this,":[68],"we":[69],"construct":[70],"a":[71,77,80,89,121,130,136],"semi-synthetic":[72],"dialogue":[73],"dataset":[74,150],"propose":[76],"two-model":[78],"pipeline:":[79],"small":[81],"model":[82,91],"decides":[84],"respond":[87],"larger":[90],"generates":[93],"response.We":[95],"evaluate":[96],"our":[97,112],"approach":[98],"on":[99,115],"real-world":[100],"datasets,":[101],"demonstrating":[102],"its":[103],"effectiveness":[104],"providing":[106],"helpful,":[107],"unobtrusive":[108],"assistance.User":[109],"studies":[110],"with":[111,132],"assistant,":[113,139],"implemented":[114],"Apple":[116],"Silicon":[117],"M2":[118],"hardware,":[119],"show":[120],"strong":[122],"preference":[123],"over":[128],"both":[129],"baseline":[131],"no":[133],"assistance":[134],"reactive":[137],"AI":[138],"highlighting":[140],"potential":[142],"LLAMAPIE":[144],"live":[147],"conversations.Code":[148],"are":[151],"available":[152],"at":[153],"github.com/chentuochao/LlamaPIE.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}