{"id":"https://openalex.org/W4403574000","doi":"https://doi.org/10.48550/arxiv.2410.11404","title":"MoChat: Joints-Grouped Spatio-Temporal Grounding LLM for Multi-Turn\n Motion Comprehension and Description","display_name":"MoChat: Joints-Grouped Spatio-Temporal Grounding LLM for Multi-Turn\n Motion Comprehension and Description","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4403574000","doi":"https://doi.org/10.48550/arxiv.2410.11404"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.11404","pdf_url":"http://arxiv.org/pdf/2410.11404","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":"http://arxiv.org/pdf/2410.11404","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087799311","display_name":"Jiawei Mo","orcid":"https://orcid.org/0000-0002-1043-5353"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mo, Jiawei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725681","display_name":"Yixuan Chen","orcid":"https://orcid.org/0009-0001-9059-1697"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yixuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091755668","display_name":"Rifen Lin","orcid":"https://orcid.org/0009-0002-6005-3131"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Rifen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021923","display_name":"Yaodong Ni","orcid":"https://orcid.org/0000-0003-0607-7757"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ni, Yongkang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033885404","display_name":"Min Zeng","orcid":"https://orcid.org/0000-0002-1726-0955"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Min","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007941489","display_name":"Xiping Hu","orcid":"https://orcid.org/0000-0002-4952-699X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hu, Xiping","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100771487","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-7844-3264"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Min","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/T10181","display_name":"Natural Language Processing Techniques","score":0.9951,"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":0.9951,"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":0.9555,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9465,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/turn","display_name":"Turn (biochemistry)","score":0.6830828},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-Taking","score":0.4450252}],"concepts":[{"id":"https://openalex.org/C85641259","wikidata":"https://www.wikidata.org/wiki/Q290042","display_name":"Turn (biochemistry)","level":2,"score":0.6830828},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.65457654},{"id":"https://openalex.org/C168993435","wikidata":"https://www.wikidata.org/wiki/Q6501125","display_name":"Ground","level":2,"score":0.58129007},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.5743824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5398011},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.4450252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38049367},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3369947},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23286048},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.22700962},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12584543},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10617486},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09506026},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0848943},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.0},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.11404","pdf_url":"http://arxiv.org/pdf/2410.11404","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":"http://arxiv.org/abs/2410.11404","pdf_url":"http://arxiv.org/pdf/2410.11404","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/W4400912116","https://openalex.org/W4376475259","https://openalex.org/W4242512034","https://openalex.org/W320957374","https://openalex.org/W3161619631","https://openalex.org/W3120641923","https://openalex.org/W3003178987","https://openalex.org/W2909654650","https://openalex.org/W2900127165","https://openalex.org/W2379107843"],"abstract_inverted_index":{"Despite":[0],"continuous":[1],"advancements":[2],"in":[3,30,38,147],"deep":[4],"learning":[5],"for":[6,110,124,133],"understanding":[7,40,61,149],"human":[8,58,80,163],"motion,":[9],"existing":[10],"models":[11],"often":[12],"struggle":[13],"to":[14,98],"accurately":[15],"identify":[16],"action":[17],"timing":[18],"and":[19,60,83,101,120],"specific":[20],"body":[21],"parts,":[22],"typically":[23],"supporting":[24],"only":[25],"single-round":[26],"interaction.":[27],"Such":[28],"limitations":[29],"capturing":[31],"fine-grained":[32,159],"motion":[33,39,59,148],"details":[34],"reduce":[35],"their":[36],"effectiveness":[37],"tasks.":[41],"In":[42],"this":[43],"paper,":[44],"we":[45,69,106],"propose":[46],"MoChat,":[47],"a":[48,108],"multimodal":[49],"large":[50],"language":[51],"model":[52,156],"capable":[53,157],"of":[54,57,74,158,162],"spatio-temporal":[55,160],"grounding":[56,161],"multi-turn":[62,122],"dialogue":[63],"context.":[64],"To":[65],"achieve":[66],"these":[67],"capabilities,":[68],"group":[70],"the":[71,154],"spatial":[72],"information":[73],"each":[75],"skeleton":[76,114],"frame":[77],"based":[78,116],"on":[79,117],"anatomical":[81],"structure":[82],"then":[84],"apply":[85],"them":[86],"with":[87,95],"Joints-Grouped":[88],"Skeleton":[89],"Encoder,":[90],"whose":[91],"outputs":[92],"are":[93,131],"combined":[94],"LLM":[96],"embeddings":[97,103],"create":[99],"spatio-aware":[100],"temporal-aware":[102],"separately.":[104],"Additionally,":[105],"develop":[107],"pipeline":[109],"extracting":[111],"timestamps":[112],"from":[113],"sequences":[115],"textual":[118],"annotations,":[119],"construct":[121],"dialogues":[123],"spatially":[125],"grounding.":[126],"Finally,":[127],"various":[128],"task":[129],"instructions":[130],"generated":[132],"jointly":[134],"training.":[135],"Experimental":[136],"results":[137],"demonstrate":[138],"that":[139],"MoChat":[140],"achieves":[141],"state-of-the-art":[142],"performance":[143],"across":[144],"multiple":[145],"metrics":[146],"tasks,":[150],"making":[151],"it":[152],"as":[153],"first":[155],"motion.":[164]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403574000","counts_by_year":[],"updated_date":"2025-04-19T20:37:08.347239","created_date":"2024-10-20"}