{"id":"https://openalex.org/W7043775935","doi":null,"title":"Toward Extendable and Reliable Use of Large Foundation Models","display_name":"Toward Extendable and Reliable Use of Large Foundation Models","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W7043775935"},"language":"en","primary_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt2g10w3nh","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2g10w3nh","pdf_url":"https://escholarship.org/content/qt2g10w3nh/qt2g10w3nh.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"etd"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://escholarship.org/content/qt2g10w3nh/qt2g10w3nh.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yang, Xianjun","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yang, Xianjun","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":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":true,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9452999830245972,"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/T10028","display_name":"Topic Modeling","score":0.9452999830245972,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.01860000006854534,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.010200000368058681,"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/large-foundation-models","display_name":"large foundation models","score":0.906000018119812},{"id":"https://openalex.org/keywords/annotated-data","display_name":"annotated dataset","score":0.6800000071525574},{"id":"https://openalex.org/keywords/polycrystals","display_name":"polycrystalline materials","score":0.8640000224113464},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.9129999876022339},{"id":"https://openalex.org/keywords/continual-pre-training","display_name":"continual pre-training","score":0.777999997138977},{"id":"https://openalex.org/keywords/training-free-detection","display_name":"training-free detection","score":0.7689999938011169},{"id":"https://openalex.org/keywords/jailbreak-attacks","display_name":"jailbreak attacks","score":0.7459999918937683},{"id":"https://openalex.org/keywords/model-safety","display_name":"model safety","score":0.6399999856948853},{"id":"https://openalex.org/keywords/llm-security","display_name":"LLM security","score":0.42500001192092896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404999732971191},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.532800018787384},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.4853000044822693},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.46129998564720154},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44209998846054077},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4235000014305115},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4115000069141388},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.38940000534057617},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3716000020503998},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.3359000086784363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33309999108314514},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.3206999897956848},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.3149000108242035},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.31279999017715454},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.30390000343322754},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26579999923706055},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.258899986743927}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:escholarship.org:ark:/13030/qt2g10w3nh","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2g10w3nh","pdf_url":"https://escholarship.org/content/qt2g10w3nh/qt2g10w3nh.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"etd"}],"best_oa_location":{"id":"pmh:oai:escholarship.org:ark:/13030/qt2g10w3nh","doi":null,"is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2g10w3nh","pdf_url":"https://escholarship.org/content/qt2g10w3nh/qt2g10w3nh.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"etd"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7043775935.pdf","grobid_xml":"https://content.openalex.org/works/W7043775935.grobid-xml"},"referenced_works_count":96,"referenced_works":["https://openalex.org/W1940872118","https://openalex.org/W2736601468","https://openalex.org/W2770778462","https://openalex.org/W2896457183","https://openalex.org/W2913848079","https://openalex.org/W2969958763","https://openalex.org/W3001279689","https://openalex.org/W3034793897","https://openalex.org/W3110257065","https://openalex.org/W3176328530","https://openalex.org/W3195577433","https://openalex.org/W4226399820","https://openalex.org/W4229005866","https://openalex.org/W4283026156","https://openalex.org/W4311991106","https://openalex.org/W4315881236","https://openalex.org/W4318149317","https://openalex.org/W4318351452","https://openalex.org/W4318719086","https://openalex.org/W4319166707","https://openalex.org/W4320342485","https://openalex.org/W4321276803","https://openalex.org/W4353007481","https://openalex.org/W4360836968","https://openalex.org/W4364387756","https://openalex.org/W4366850566","https://openalex.org/W4367365810","https://openalex.org/W4367701241","https://openalex.org/W4376311878","https://openalex.org/W4376312605","https://openalex.org/W4376652802","https://openalex.org/W4377090033","https://openalex.org/W4377864601","https://openalex.org/W4378465439","https://openalex.org/W4379468930","https://openalex.org/W4380989429","https://openalex.org/W4383815588","https://openalex.org/W4384918448","https://openalex.org/W4385374425","https://openalex.org/W4385570852","https://openalex.org/W4385572634","https://openalex.org/W4385573077","https://openalex.org/W4385848551","https://openalex.org/W4386044169","https://openalex.org/W4386436506","https://openalex.org/W4386555960","https://openalex.org/W4386942538","https://openalex.org/W4387390310","https://openalex.org/W4387436590","https://openalex.org/W4387436631","https://openalex.org/W4387559087","https://openalex.org/W4387561119","https://openalex.org/W4387595881","https://openalex.org/W4387838992","https://openalex.org/W4387929270","https://openalex.org/W4387929776","https://openalex.org/W4388482181","https://openalex.org/W4388482289","https://openalex.org/W4389072033","https://openalex.org/W4389072658","https://openalex.org/W4389421971","https://openalex.org/W4389519367","https://openalex.org/W4389520688","https://openalex.org/W4389524115","https://openalex.org/W4389713766","https://openalex.org/W4389714039","https://openalex.org/W4390041933","https://openalex.org/W4390647591","https://openalex.org/W4391156874","https://openalex.org/W4391334942","https://openalex.org/W4391832496","https://openalex.org/W4391912894","https://openalex.org/W4392669753","https://openalex.org/W4393946427","https://openalex.org/W4396723768","https://openalex.org/W4401042392","https://openalex.org/W4401042550","https://openalex.org/W4401042852","https://openalex.org/W4401042900","https://openalex.org/W4401615053","https://openalex.org/W4402217583","https://openalex.org/W4402667057","https://openalex.org/W4402670694","https://openalex.org/W4402671039","https://openalex.org/W4402671828","https://openalex.org/W4402671834","https://openalex.org/W4405181600","https://openalex.org/W4410609100","https://openalex.org/W4415797457","https://openalex.org/W4415798513","https://openalex.org/W7127179963","https://openalex.org/W7133189643","https://openalex.org/W7133209433","https://openalex.org/W7133229395","https://openalex.org/W7133235460","https://openalex.org/W7133263482"],"related_works":["https://openalex.org/W4405355411","https://openalex.org/W4402226805","https://openalex.org/W7125844710","https://openalex.org/W4408196005","https://openalex.org/W7215123644","https://openalex.org/W7080129953","https://openalex.org/W7153171548","https://openalex.org/W7131803966","https://openalex.org/W4391421491","https://openalex.org/W4404420122"],"abstract_inverted_index":{"This":[0,79,220,241],"dissertation":[1],"investigates":[2],"critical":[3,198],"aspects":[4],"of":[5,45,116,246],"extending":[6,248],"and":[7,29,37,54,86,124,160,166,177,183,226,249,267],"ensuring":[8],"reliability":[9,266],"in":[10,26,200,261],"large":[11,46,251],"foundation":[12,47,95,252],"models":[13,48,178],"across":[14,89,174,217],"multiple":[15,175,218],"domains.":[16,56],"Through":[17],"five":[18],"comprehensive":[19],"chapters,":[20],"we":[21,33,104,150,190,211],"first":[22,58],"address":[23],"fundamental":[24],"challenges":[25],"knowledge":[27,108,122],"extraction":[28,109],"domain":[30,132],"adaptation,":[31],"then":[32],"tackle":[34],"content":[35,148],"detection":[36],"model":[38],"safety":[39,224],"when":[40],"the":[41,130,192,234],"text":[42,158],"generation":[43],"ability":[44],"is":[49],"increasing":[50],"for":[51,65,96,111,236,257],"both":[52,247],"general":[53],"specific":[55],"We":[57,127],"present":[59,191],"PcMSP,":[60],"a":[61,82,94,120,142,153,197,213],"novel":[62],"annotated":[63],"dataset":[64],"materials":[66,97,138],"synthesis":[67,72],"procedures,":[68],"featuring":[69],"manually":[70],"validated":[71],"action":[73],"graphs":[74],"from":[75],"305":[76],"scientific":[77,144],"articles.":[78],"contribution":[80],"includes":[81,227],"robust":[83,238],"annotation":[84],"framework":[85],"benchmark":[87],"results":[88,182],"four":[90],"NLP":[91],"tasks,":[92],"establishing":[93],"science":[98,139],"information":[99],"extraction.":[100],"Building":[101],"on":[102,137],"this,":[103],"develop":[105],"an":[106,228],"innovative":[107],"system":[110],"polycrystallinematerials":[112],"research,":[113],"processing":[114],"millions":[115],"publications":[117],"to":[118,162,186],"create":[119],"structured":[121],"base":[123],"search":[125],"engine.":[126],"further":[128],"demonstrate":[129],"successful":[131],"adaptation":[133],"through":[134],"continued":[135],"pre-training":[136],"literature,":[140],"creating":[141],"specialized":[143,262],"chatbot.":[145],"In":[146],"addressing":[147],"detection,":[149],"introduce":[151],"DNA-GPT,":[152],"training-free":[154],"approach":[155],"that":[156],"leverages":[157],"truncation":[159],"regeneration":[161],"distinguish":[163],"between":[164],"human":[165],"machine-generated":[167],"content.":[168],"Our":[169],"method":[170],"achieves":[171],"state-of-the-art":[172],"performance":[173],"languages":[176],"while":[179,232,264],"providing":[180,254],"explainable":[181],"demonstrating":[184],"resilience":[185],"revision":[187],"attacks.":[188],"Finally,":[189],"\"weak-to-strong\"":[193],"jailbreaking":[194],"attack,":[195],"revealing":[196],"vulnerability":[199],"aligned":[201],"language":[202],"models.":[203],"By":[204],"manipulating":[205],"decoding":[206],"distributions":[207],"using":[208],"smaller":[209],"models,":[210,253],"achieve":[212],"99%":[214],"misalignment":[215],"rate":[216],"LLMs.":[219],"discovery":[221],"highlights":[222],"urgent":[223],"concerns":[225],"initial":[229],"defense":[230],"strategy":[231],"emphasizing":[233],"need":[235],"more":[237],"protection":[239],"mechanisms.":[240],"research":[242],"advances":[243],"our":[244],"understanding":[245],"securing":[250],"crucial":[255],"insights":[256],"their":[258],"responsible":[259],"deployment":[260],"domains":[263],"maintaining":[265],"utility.":[268]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2025-10-10T00:00:00"}