{"id":"https://openalex.org/W7160638257","doi":"https://doi.org/10.48550/arxiv.2605.05732","title":"CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning","display_name":"CRAFT: Forgetting-Aware Intervention-Based Adaptation for Continual Learning","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160638257","doi":"https://doi.org/10.48550/arxiv.2605.05732"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.05732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.05732","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135716172","display_name":"Md Anwar Hossen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hossen, Md Anwar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123946869","display_name":"Fatema Siddika","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siddika, Fatema","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032589750","display_name":"J. Pablo Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-5901-4023"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Munoz, Juan Pablo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038162360","display_name":"Tanya Roosta","orcid":"https://orcid.org/0009-0003-1235-3006"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roosta, Tanya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135652555","display_name":"Ali Jannesari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jannesari, Ali","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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.815500020980835,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.815500020980835,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.03889999911189079,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.037300001829862595,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.7056000232696533},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6941999793052673},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.628600001335144},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.542900025844574},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4327000081539154},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.41029998660087585},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.34299999475479126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7307999730110168},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.7056000232696533},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6941999793052673},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.628600001335144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6259999871253967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5475000143051147},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.542900025844574},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4327000081539154},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.41029998660087585},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.34299999475479126},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.33799999952316284},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.3181000053882599},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.05732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.05732","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.05732","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5312065482139587}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"can":[4],"acquire":[5],"new":[6],"capabilities":[7],"through":[8,104],"fine-tuning,":[9],"but":[10],"continual":[11,22,153],"adaptation":[12,138],"often":[13],"leads":[14],"to":[15,48,117,130,152],"catastrophic":[16],"forgetting.":[17],"We":[18],"propose":[19],"CRAFT,":[20],"a":[21,49,64,105,147],"learning":[23,32,154],"framework":[24],"that":[25,136],"avoids":[26],"updating":[27],"model":[28,62,125],"weights":[29],"by":[30,143],"instead":[31],"low-rank":[33],"interventions":[34,83],"on":[35,55],"hidden":[36],"representations.":[37],"CRAFT":[38,109],"proceeds":[39],"in":[40,139,155],"three":[41],"stages:":[42],"it":[43,58,81],"first":[44],"routes":[45],"each":[46],"task":[47,87,131],"group":[50],"of":[51],"similar":[52],"tasks":[53],"based":[54],"output-distribution":[56],"divergence;":[57],"then":[59],"fine-tunes":[60],"the":[61,69,85,89,93],"using":[63,92],"Kullback-Leibler":[65],"(KL)":[66],"divergence":[67],"against":[68],"group's":[70],"prior":[71],"state,":[72],"which":[73],"directly":[74],"controls":[75],"forgetting":[76,115],"and":[77,102,113,124,149],"determines":[78],"convergence;":[79],"finally,":[80],"merges":[82],"for":[84],"updated":[86],"into":[88],"shared":[90],"representation":[91,140],"same":[94],"KL":[95],"signal.":[96],"This":[97],"design":[98],"unifies":[99],"routing,":[100],"regularization,":[101],"merging":[103],"single":[106],"KL-based":[107],"objective.":[108],"improves":[110],"overall":[111],"performance":[112],"reduces":[114],"compared":[116],"strong":[118],"LoRA-based":[119],"approaches":[120],"across":[121],"multiple":[122],"benchmarks":[123],"scales,":[126],"while":[127],"remaining":[128],"robust":[129],"ordering.":[132],"These":[133],"results":[134],"suggest":[135],"controlling":[137],"space,":[141],"guided":[142],"output-space":[144],"divergence,":[145],"provides":[146],"scalable":[148],"principled":[150],"approach":[151],"LLMs.":[156]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-09T00:00:00"}
