{"id":"https://openalex.org/W7131403127","doi":"https://doi.org/10.48550/arxiv.2602.18788","title":"BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models","display_name":"BURMESE-SAN: Burmese NLP Benchmark for Evaluating Large Language Models","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7131403127","doi":"https://doi.org/10.48550/arxiv.2602.18788"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2602.18788","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.18788","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2602.18788","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103277095","display_name":"Thura Aung","orcid":"https://orcid.org/0009-0008-5804-2111"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aung, Thura","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126801328","display_name":"Jann Railey Montalan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Montalan, Jann Railey","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008355407","display_name":"Jian Gang Ngui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ngui, Jian Gang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038217558","display_name":"Peerat Limkonchotiwat","orcid":"https://orcid.org/0000-0002-7212-8228"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Limkonchotiwat, Peerat","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103277095"],"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/T10028","display_name":"Topic Modeling","score":0.3628000020980835,"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":0.3628000020980835,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.08900000154972076,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.06949999928474426,"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/burmese","display_name":"Burmese","score":0.9115999937057495},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7469000220298767},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5192000269889832},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.45730000734329224},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4341000020503998},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.4320000112056732},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.421099990606308}],"concepts":[{"id":"https://openalex.org/C2779443383","wikidata":"https://www.wikidata.org/wiki/Q9228","display_name":"Burmese","level":2,"score":0.9115999937057495},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7469000220298767},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6478999853134155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6334999799728394},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.59170001745224},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5192000269889832},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.45730000734329224},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4341000020503998},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.4320000112056732},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.3495999872684479},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.328000009059906},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C3019398675","wikidata":"https://www.wikidata.org/wiki/Q11708","display_name":"Southeast asia","level":2,"score":0.27619999647140503},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2602.18788","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.18788","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2602.18788","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.18788","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6924482583999634,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,81],"introduce":[1],"BURMESE-SAN,":[2],"the":[3],"first":[4],"holistic":[5],"benchmark":[6,61],"that":[7,111],"systematically":[8],"evaluates":[9],"large":[10],"language":[11,119],"models":[12],"(LLMs)":[13],"for":[14,58],"Burmese":[15,96,112,158],"across":[16],"three":[17],"core":[18],"NLP":[19],"competencies:":[20],"understanding":[21],"(NLU),":[22],"reasoning":[23],"(NLR),":[24],"and":[25,49,74,89,105,121,135,154,159],"generation":[26],"(NLG).":[27],"BURMESE-SAN":[28,145],"consolidates":[29],"seven":[30],"subtasks":[31],"spanning":[32],"these":[33],"competencies,":[34],"including":[35],"Question":[36],"Answering,":[37],"Sentiment":[38],"Analysis,":[39],"Toxicity":[40],"Detection,":[41],"Causal":[42],"Reasoning,":[43],"Natural":[44],"Language":[45],"Inference,":[46],"Abstractive":[47],"Summarization,":[48],"Machine":[50],"Translation,":[51],"several":[52],"of":[53,86],"which":[54],"were":[55],"previously":[56],"unavailable":[57],"Burmese.":[59],"The":[60],"is":[62],"constructed":[63],"through":[64],"a":[65,83,147],"rigorous":[66],"native-speaker-driven":[67],"process":[68],"to":[69,92,150],"ensure":[70],"linguistic":[71],"naturalness,":[72],"fluency,":[73],"cultural":[75],"authenticity":[76],"while":[77],"minimizing":[78],"translation-induced":[79],"artifacts.":[80],"conduct":[82],"large-scale":[84],"evaluation":[85,153],"both":[87],"open-weight":[88],"commercial":[90],"LLMs":[91],"examine":[93],"challenges":[94],"in":[95,157],"modeling":[97],"arising":[98],"from":[99],"limited":[100],"pretraining":[101],"coverage,":[102],"rich":[103],"morphology,":[104],"syntactic":[106],"variation.":[107],"Our":[108],"results":[109],"show":[110],"performance":[113],"depends":[114],"more":[115],"on":[116,125],"architectural":[117],"design,":[118],"representation,":[120],"instruction":[122],"tuning":[123],"than":[124],"model":[126,137],"scale":[127],"alone.":[128],"In":[129],"particular,":[130],"Southeast":[131],"Asia":[132],"regional":[133],"fine-tuning":[134],"newer":[136],"generations":[138],"yield":[139],"substantial":[140],"gains.":[141],"Finally,":[142],"we":[143],"release":[144],"as":[146],"public":[148],"leaderboard":[149],"support":[151],"systematic":[152],"sustained":[155],"progress":[156],"other":[160],"low-resource":[161],"languages.":[162],"https://leaderboard.sea-lion.ai/detailed/MY":[163]},"counts_by_year":[],"updated_date":"2026-02-26T06:34:08.959763","created_date":"2026-02-26T00:00:00"}