{"id":"https://openalex.org/W4401719119","doi":"https://doi.org/10.1109/icbc59979.2024.10634392","title":"SolMover: Feasibility of Using LLMs for Translating Smart Contracts","display_name":"SolMover: Feasibility of Using LLMs for Translating Smart Contracts","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4401719119","doi":"https://doi.org/10.1109/icbc59979.2024.10634392"},"language":"en","primary_location":{"id":"doi:10.1109/icbc59979.2024.10634392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc59979.2024.10634392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016852422","display_name":"Rabimba Karanjai","orcid":"https://orcid.org/0000-0002-6705-6506"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rabimba Karanjai","raw_affiliation_strings":["University Of Houston,TX,USA"],"affiliations":[{"raw_affiliation_string":"University Of Houston,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106624782","display_name":"Lei Xudagger","orcid":null},"institutions":[{"id":"https://openalex.org/I149910238","display_name":"Kent State University","ror":"https://ror.org/049pfb863","country_code":"US","type":"education","lineage":["https://openalex.org/I149910238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xudagger","raw_affiliation_strings":["Kent State University,OH,USA"],"affiliations":[{"raw_affiliation_string":"Kent State University,OH,USA","institution_ids":["https://openalex.org/I149910238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109410921","display_name":"Weidong Shi","orcid":"https://orcid.org/0000-0002-9005-3071"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weidong Shi","raw_affiliation_strings":["University Of Houston,TX,USA"],"affiliations":[{"raw_affiliation_string":"University Of Houston,TX,USA","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016852422"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.7108,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68883617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13578","display_name":"Stonefly species taxonomy and ecology","score":0.7750999927520752,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13578","display_name":"Stonefly species taxonomy and ecology","score":0.7750999927520752,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.7034000158309937,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49674540758132935},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3490762412548065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49674540758132935},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3490762412548065}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icbc59979.2024.10634392","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icbc59979.2024.10634392","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W569478347","https://openalex.org/W1846534677","https://openalex.org/W1972141422","https://openalex.org/W2074032109","https://openalex.org/W2750779823","https://openalex.org/W3098605233","https://openalex.org/W3126675481","https://openalex.org/W4226277721","https://openalex.org/W4385245566","https://openalex.org/W4388758182","https://openalex.org/W6790588633","https://openalex.org/W6791743870","https://openalex.org/W6800949977"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Large":[0],"language":[1,64,150],"models":[2],"(LLMs)":[3],"have":[4,39,165,170],"showcased":[5],"remarkable":[6],"skills,":[7],"rivaling":[8],"or":[9],"even":[10,198],"exceeding":[11],"human":[12,32],"intelligence":[13],"in":[14,19,87,89,115],"certain":[15],"areas.":[16],"Their":[17],"proficiency":[18],"translation":[20],"is":[21,65],"notable,":[22],"as":[23],"they":[24],"may":[25],"replicate":[26],"the":[27,68,109,123,148,157,200],"nuanced,":[28],"preparatory":[29],"steps":[30],"of":[31,82,113,122],"translators":[33],"for":[34,47,57,147,156,206],"high-quality":[35],"outcomes.":[36],"Although":[37],"there":[38,52],"been":[40,55],"some":[41],"notable":[42],"work":[43],"exploring":[44],"using":[45],"LLMs":[46,85,114],"code":[48,50,102,204],"to":[49,67,75,92,100,103,125,132,143,151,160],"translation,":[51],"has":[53],"not":[54,164],"one":[56,135,141],"smart":[58,128],"contracts,":[59],"especially":[60],"when":[61],"a":[62,90,119,133,153],"target":[63],"unseen":[66,105],"LLM.":[69],"In":[70],"this":[71,116],"work,":[72],"we":[73,139],"aim":[74],"introduce":[76],"our":[77,194],"novel":[78],"framework":[79,91,201],"SolMover":[80],"consisting":[81],"two":[83],"different":[84],"working":[86],"tandem":[88],"understand":[93,144],"coding":[94,145],"concepts":[95],"and":[96,181,185],"then":[97],"use":[98],"that":[99,174,192],"translate":[101,126],"an":[104],"language.":[106],"We":[107],"explore":[108],"human-like":[110],"learning":[111],"capability":[112,167],"paper":[117],"with":[118],"detailed":[120],"evaluation":[121],"methodology":[124],"existing":[127],"contracts":[129],"from":[130],"Solidity":[131],"low-resource":[134],"called":[136],"Move.":[137],"Specifically,":[138],"enable":[140],"LLM":[142,159],"rules":[146],"new":[149],"generate":[152],"planning":[154,166],"task,":[155],"second":[158],"follow,":[161],"which":[162],"does":[163,169],"but":[168],"coding.":[171],"Experiments":[172],"show":[173],"SolMOver":[175],"brings":[176],"significant":[177],"improvement":[178],"over":[179],"gpt-3.5-turbo-1106":[180],"outperforms":[182],"both":[183],"Palm2":[184],"Mixtral-8x7B-Instruct.":[186],"Our":[187],"further":[188],"analysis":[189],"shows":[190],"us":[191],"employing":[193],"bug":[195],"mitigation":[196],"technique":[197],"without":[199],"still":[202],"improves":[203],"quality":[205],"all":[207],"models.":[208]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}