{"id":"https://openalex.org/W4414786483","doi":"https://doi.org/10.48550/arxiv.2505.22156","title":"InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing","display_name":"InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4414786483","doi":"https://doi.org/10.48550/arxiv.2505.22156"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.22156","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.22156","pdf_url":"https://arxiv.org/pdf/2505.22156","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.22156","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009237347","display_name":"Shuaiyi Li","orcid":"https://orcid.org/0009-0008-0896-9189"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Li, Shuaiyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101677227","display_name":"Zhisong Zhang","orcid":"https://orcid.org/0000-0002-3680-8701"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Zhisong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100735951","display_name":"Yang Deng","orcid":"https://orcid.org/0000-0002-4803-9014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089970845","display_name":"Chenlong Deng","orcid":"https://orcid.org/0000-0002-0248-9765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deng, Chenlong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046409172","display_name":"Tianqing Fang","orcid":"https://orcid.org/0000-0002-0186-8253"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Tianqing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100445026","display_name":"Hongming Zhang","orcid":"https://orcid.org/0000-0001-6133-693X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Hongming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019900804","display_name":"Haitao Mi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mi, Haitao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102835232","display_name":"Dong Yu","orcid":"https://orcid.org/0000-0003-2874-5795"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Dong","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Lam, Wai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lam, Wai","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5009237347"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.8996999859809875,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.8996999859809875,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.8302000164985657,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T13999","display_name":"Digital Rights Management and Security","score":0.8219000101089478,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.6725000143051147},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6218000054359436},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5892999768257141},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4731999933719635},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.4681999981403351},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.350600004196167},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.328900009393692},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.32170000672340393}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8623999953269958},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6725000143051147},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6218000054359436},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5892999768257141},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4731999933719635},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.4681999981403351},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4212999939918518},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4056999981403351},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.350600004196167},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3483000099658966},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.328900009393692},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.32170000672340393},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3147999942302704},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.31220000982284546},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.29260000586509705},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C2780967703","wikidata":"https://www.wikidata.org/wiki/Q2571389","display_name":"Collaborative editing","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.26600000262260437}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2505.22156","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.22156","pdf_url":"https://arxiv.org/pdf/2505.22156","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.22156","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.22156","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.22156","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.22156","pdf_url":"https://arxiv.org/pdf/2505.22156","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414786483.pdf","grobid_xml":"https://content.openalex.org/works/W4414786483.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Although":[0],"existing":[1],"model":[2,162],"editing":[3,45,94,106,163,167],"methods":[4],"perform":[5],"well":[6],"in":[7,15],"recalling":[8],"exact":[9],"edit":[10,49,155],"facts,":[11],"they":[12],"often":[13],"struggle":[14],"complex":[16],"scenarios":[17],"that":[18,88],"require":[19],"deeper":[20],"semantic":[21],"understanding":[22],"rather":[23],"than":[24],"mere":[25],"knowledge":[26],"regurgitation.":[27],"Leveraging":[28],"the":[29,60,73,109,128,141,146,170,173],"strong":[30],"contextual":[31],"reasoning":[32],"abilities":[33],"of":[34,64,75,113,121,154,177],"large":[35],"language":[36],"models":[37],"(LLMs),":[38],"in-context":[39],"learning":[40],"(ICL)":[41],"becomes":[42],"a":[43,85,114],"promising":[44],"method":[46,56],"by":[47,59,127],"comprehending":[48],"information":[50,144],"through":[51,96],"context":[52,62,107,130],"encoding.":[53],"However,":[54],"this":[55,80],"is":[57],"constrained":[58],"limited":[61],"window":[63],"LLMs,":[65],"leading":[66],"to":[67,92,138],"degraded":[68],"performance":[69],"and":[70,99,151,169,175],"efficiency":[71,176],"as":[72],"number":[74],"edits":[76,123],"increases.":[77],"To":[78],"overcome":[79],"limitation,":[81],"we":[82],"propose":[83],"InComeS,":[84],"flexible":[86],"framework":[87],"enhances":[89],"LLMs'":[90],"ability":[91],"process":[93],"contexts":[95],"explicit":[97],"compression":[98],"selection":[100],"mechanisms.":[101],"Specifically,":[102],"InComeS":[103],"compresses":[104],"each":[105],"into":[108],"key-value":[110],"(KV)":[111],"cache":[112],"special":[115],"gist":[116,147],"token,":[117],"enabling":[118,149],"efficient":[119],"handling":[120],"multiple":[122],"without":[124],"being":[125],"restricted":[126],"model's":[129],"window.":[131],"Furthermore,":[132],"specialized":[133],"cross-attention":[134],"modules":[135],"are":[136],"added":[137],"dynamically":[139],"select":[140],"most":[142],"relevant":[143],"from":[145],"pools,":[148],"adaptive":[150],"effective":[152],"utilization":[153],"information.":[156],"We":[157],"conduct":[158],"experiments":[159],"on":[160],"diverse":[161],"benchmarks":[164],"with":[165],"various":[166],"formats,":[168],"results":[171],"demonstrate":[172],"effectiveness":[174],"our":[178],"method.":[179]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}