{"id":"https://openalex.org/W4415036232","doi":"https://doi.org/10.48550/arxiv.2505.20743","title":"UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks","display_name":"UQLegalAI@COLIEE2025: Advancing Legal Case Retrieval with Large Language Models and Graph Neural Networks","publication_year":2025,"publication_date":"2025-05-27","ids":{"openalex":"https://openalex.org/W4415036232","doi":"https://doi.org/10.48550/arxiv.2505.20743"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2505.20743","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.20743","pdf_url":"https://arxiv.org/pdf/2505.20743","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2505.20743","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101579519","display_name":"Yanran Tang","orcid":"https://orcid.org/0009-0007-9485-1066","observed_orcids":["https://orcid.org/0009-0007-9485-1066"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Tang, Yanran","raw_affiliation_strings":["The University of Queensland Brisbane , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland Brisbane , Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005674414","display_name":"Ruihong Qiu","orcid":"https://orcid.org/0000-0001-8349-6475","observed_orcids":["https://orcid.org/0000-0001-8349-6475"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiu, Ruihong","raw_affiliation_strings":["The University of Queensland Brisbane , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland Brisbane , Australia","institution_ids":["https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078170935","display_name":"Zi Helen Huang","orcid":"https://orcid.org/0000-0002-9738-4949","observed_orcids":["https://orcid.org/0000-0002-9738-4949","https://orcid.org/0000-0002-7190-9620"]},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Huang, Zi","raw_affiliation_strings":["The University of Queensland Brisbane , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Queensland Brisbane , Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165143802"],"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/T13643","display_name":"Artificial Intelligence in Law","score":0.9731000065803528,"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"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9731000065803528,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.01590000092983246,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.004699999932199717,"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/case-law-searching","display_name":"case law searching","score":1.0},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.7670000195503235},{"id":"https://openalex.org/keywords/contrastive-learning","display_name":"contrastive learning","score":0.9480000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315000295639038},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5695000290870667},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5436000227928162},{"id":"https://openalex.org/C95318506","wikidata":"https://www.wikidata.org/wiki/Q6588467","display_name":"Textual entailment","level":3,"score":0.5146999955177307},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45559999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4226999878883362},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3905999958515167},{"id":"https://openalex.org/C2778049185","wikidata":"https://www.wikidata.org/wiki/Q2334719","display_name":"Legal case","level":2,"score":0.38040000200271606},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.36059999465942383},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.35679998993873596},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34139999747276306},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.33880001306533813},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.32010000944137573},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.30469998717308044},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C67497173","wikidata":"https://www.wikidata.org/wiki/Q977345","display_name":"Legal aspects of computing","level":3,"score":0.30250000953674316},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2935999929904938},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.26899999380111694},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26840001344680786},{"id":"https://openalex.org/C178005623","wikidata":"https://www.wikidata.org/wiki/Q308859","display_name":"Anonymity","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2505.20743","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.20743","pdf_url":"https://arxiv.org/pdf/2505.20743","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2505.20743","doi":"https://doi.org/10.48550/arxiv.2505.20743","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2505.20743","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2505.20743","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2505.20743","pdf_url":"https://arxiv.org/pdf/2505.20743","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5473999977111816,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415036232.pdf","grobid_xml":"https://content.openalex.org/works/W4415036232.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4376312408","https://openalex.org/W4392887238","https://openalex.org/W4400525552","https://openalex.org/W4414828530","https://openalex.org/W4399058938","https://openalex.org/W7103135772","https://openalex.org/W7133355586","https://openalex.org/W6958248976","https://openalex.org/W4417063447","https://openalex.org/W7169846391"],"abstract_inverted_index":{"Legal":[0,39],"case":[1,92,100,131,144,154],"retrieval":[2,34],"plays":[3],"a":[4,57,103,138],"pivotal":[5],"role":[6],"in":[7,71,108,128,164],"the":[8,13,36,62,67,90,96,122,126,129,141,150,153],"legal":[9,20,26,99,115],"domain":[10],"by":[11,65],"facilitating":[12],"efficient":[14],"identification":[15],"of":[16,60,74,98,125,143,173],"relevant":[17],"cases,":[18],"supporting":[19],"professionals":[21],"and":[22,28,42,84],"researchers":[23],"to":[24,88,94,113,148],"propose":[25],"arguments":[27],"make":[29],"informed":[30],"decision-making.":[31],"To":[32],"improve":[33,95],"accuracy,":[35],"Competition":[37],"on":[38,140,169],"Information":[40],"Extraction":[41],"Entailment":[43],"(COLIEE)":[44],"is":[45,111,146,167],"held":[46],"annually,":[47],"offering":[48],"updated":[49],"benchmark":[50],"datasets":[51],"for":[52,157],"evaluation.":[53],"This":[54],"paper":[55],"presents":[56],"detailed":[58],"description":[59],"CaseLink,":[61],"method":[63,166],"employed":[64,112],"UQLegalAI,":[66],"second":[68],"highest":[69],"team":[70],"Task":[72],"1":[73],"COLIEE":[75],"2025.":[76],"The":[77,160],"CaseLink":[78],"model":[79,106,158],"utilises":[80],"inductive":[81],"graph":[82],"learning":[83],"Global":[85],"Case":[86],"Graphs":[87],"capture":[89],"intrinsic":[91],"connectivity":[93],"accuracy":[97],"retrieval.":[101],"Specifically,":[102],"large":[104],"language":[105],"specialized":[107],"text":[109],"embedding":[110],"transform":[114],"texts":[116],"into":[117],"embeddings,":[118],"which":[119],"serve":[120],"as":[121],"feature":[123],"representations":[124],"nodes":[127],"constructed":[130],"graph.":[132],"A":[133],"new":[134],"contrastive":[135],"objective,":[136],"incorporating":[137],"regularization":[139],"degree":[142],"nodes,":[145],"proposed":[147],"leverage":[149],"information":[151],"within":[152],"reference":[155],"relationship":[156],"optimization.":[159],"main":[161],"codebase":[162],"used":[163],"our":[165],"based":[168],"an":[170],"open-sourced":[171],"repo":[172],"CaseLink:":[174],"https://github.com/yanran-tang/CaseLink.":[175]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
