{"id":"https://openalex.org/W7148767284","doi":"https://doi.org/10.48550/arxiv.2604.01966","title":"Ego-Grounding for Personalized Question-Answering in Egocentric Videos","display_name":"Ego-Grounding for Personalized Question-Answering in Egocentric Videos","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148767284","doi":"https://doi.org/10.48550/arxiv.2604.01966"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.01966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01966","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.01966","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024669782","display_name":"Junbin Xiao","orcid":"https://orcid.org/0000-0001-5573-6195"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao, Junbin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132913154","display_name":"Shenglang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Shenglang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059298900","display_name":"Pengxiang Zhu","orcid":"https://orcid.org/0000-0002-0288-7587"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Pengxiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121194827","display_name":"Angela Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao, Angela","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":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9473999738693237,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9473999738693237,"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/T10028","display_name":"Topic Modeling","score":0.013100000098347664,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.0066999997943639755,"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/benchmarking","display_name":"Benchmarking","score":0.5931000113487244},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.3382999897003174},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3328000009059906},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.32919999957084656},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.31049999594688416},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.2728999853134155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095000147819519},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5045999884605408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4390000104904175},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3328000009059906},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3001999855041504},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2745000123977661},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.259799987077713},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2524000108242035},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.01966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01966","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.01966","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.01966","pdf_url":null,"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,167],"present":[1],"the":[2,18,22,33,49,152],"first":[3,34],"systematic":[4],"analysis":[5],"of":[6,155],"multimodal":[7],"large":[8,86],"language":[9],"models":[10,96],"(MLLMs)":[11],"in":[12,24,140,160,164,176],"personalized":[13,59,162,181],"question-answering":[14],"requiring":[15],"ego-grounding":[16,156],"-":[17],"ability":[19,42],"to":[20,39,43],"understand":[21],"camera-wearer":[23],"egocentric":[25,35,165,180],"videos.":[26,166],"To":[27],"this":[28],"end,":[29],"we":[30],"introduce":[31],"MyEgo,":[32],"VideoQA":[36],"dataset":[37],"designed":[38],"evaluate":[40],"MLLMs'":[41],"understand,":[44],"remember,":[45],"and":[46,57,67,94,99,103,112,142,145,157,170,184],"reason":[47],"about":[48,62],"camera":[50],"wearer.":[51],"MyEgo":[52,169],"comprises":[53],"541":[54],"long":[55],"videos":[56],"5K":[58],"questions":[60],"asking":[61],"\"my":[63,65,68,146],"things\",":[64],"activities\",":[66],"past\".":[69,147],"Benchmarking":[70],"reveals":[71],"that":[72],"competitive":[73],"MLLMs":[74],"across":[75],"variants,":[76],"including":[77],"open-source":[78,95],"vs.":[79,82,85],"proprietary,":[80],"thinking":[81],"non-thinking,":[83],"small":[84],"scales":[87],"all":[88],"struggle":[89],"on":[90],"MyEgo.":[91],"Top":[92],"closed-":[93],"(e.g.,":[97],"GPT-5":[98],"Qwen3-VL)":[100],"achieve":[101],"only~46%":[102],"36%":[104],"accuracy,":[105],"trailing":[106],"human":[107],"performance":[108],"by":[109],"near":[110],"40%":[111],"50%":[113],"respectively.":[114],"Surprisingly,":[115],"neither":[116],"explicit":[117],"reasoning":[118],"nor":[119],"model":[120],"scaling":[121],"yield":[122],"consistent":[123],"improvements.":[124],"Models":[125],"improve":[126],"when":[127],"relevant":[128],"evidence":[129],"is":[130],"explicitly":[131],"provided,":[132],"but":[133],"gains":[134],"drop":[135],"over":[136],"time,":[137],"indicating":[138],"limitations":[139],"tracking":[141],"remembering":[143],"\"me\"":[144],"These":[148],"findings":[149],"collectively":[150],"highlight":[151],"crucial":[153],"role":[154],"long-range":[158],"memory":[159],"enabling":[161],"QA":[163],"hope":[168],"our":[171],"analyses":[172],"catalyze":[173],"further":[174],"progress":[175],"these":[177],"areas":[178],"for":[179],"assistance.":[182],"Data":[183],"code":[185],"are":[186],"available":[187],"at":[188],"https://github.com/Ryougetsu3606/MyEgo":[189]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-04T00:00:00"}