{"id":"https://openalex.org/W4416034269","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1028","title":"AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP","display_name":"AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034269","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1028"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1028","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1028.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5079838593","display_name":"Ahmed Abul Hasanaath","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Abul Hasanaath","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071750182","display_name":"Aisha Alansari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aisha Alansari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110498066","display_name":"Ahmed Ashraf","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed Ashraf","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116000547","display_name":"Salmane Chafik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salmane Chafik","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060980472","display_name":"Hamzah Luqman","orcid":"https://orcid.org/0000-0001-7944-5093"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hamzah Luqman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5009803558","display_name":"Saad Ezzini","orcid":"https://orcid.org/0000-0001-7657-4738"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saad Ezzini","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15701808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"18898","last_page":"18914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.4675999879837036,"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":0.4675999879837036,"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":0.2669000029563904,"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/T13629","display_name":"Text Readability and Simplification","score":0.09269999712705612,"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/arabic","display_name":"Arabic","score":0.4555000066757202},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.24400000274181366},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.23160000145435333},{"id":"https://openalex.org/keywords/computational-linguistics","display_name":"Computational linguistics","score":0.2184000015258789}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054999828338623},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5702000260353088},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5180000066757202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5034000277519226},{"id":"https://openalex.org/C96455323","wikidata":"https://www.wikidata.org/wiki/Q13955","display_name":"Arabic","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.3244999945163727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.24400000274181366},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.23160000145435333},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2184000015258789},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.20479999482631683}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1028","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1028","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1028","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1028.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322323","display_name":"King Fahd University of Petroleum and Minerals","ror":"https://ror.org/03yez3163"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034269.pdf","grobid_xml":"https://content.openalex.org/works/W4416034269.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1,14],"models":[2],"(LLMs)":[3],"have":[4],"shown":[5],"remarkable":[6],"progress":[7],"in":[8,157,170,178],"reasoning":[9,91],"abilities":[10],"and":[11,30,70,128,172],"general":[12],"natural":[13],"processing":[15],"(NLP)":[16],"tasks,":[17],"yet":[18],"their":[19,87],"performance":[20,77],"on":[21,49,78,117,153],"Arabic":[22,60],"data,":[23],"characterized":[24],"by":[25,146],"rich":[26],"morphology,":[27],"diverse":[28],"dialects,":[29],"complex":[31,154],"script,":[32],"remains":[33],"underexplored.This":[34],"paper":[35],"presents":[36],"a":[37,46,56,81,141],"comprehensive":[38],"benchmarking":[39],"study":[40],"of":[41,58,83,95,112,149],"multiple":[42],"reasoning-focused":[43,137],"LLMs,":[44],"with":[45,64],"special":[47],"emphasis":[48],"the":[50,158],"newly":[51],"introduced":[52],"DeepSeek":[53,138],"models,":[54],"across":[55],"suite":[57],"fifteen":[59],"NLP":[61],"tasks.We":[62],"experiment":[63],"various":[65],"strategies,":[66],"including":[67],"zero-shot,":[68],"few-shot,":[69],"fine-tuning.This":[71],"allows":[72],"us":[73],"to":[74,85,125,134,165,175],"systematically":[75],"evaluate":[76],"datasets":[79],"covering":[80],"range":[82],"applications":[84],"examine":[86],"capacity":[88],"for":[89],"linguistic":[90],"under":[92],"different":[93],"levels":[94],"complexity.Our":[96],"experiments":[97],"reveal":[98],"several":[99],"key":[100],"findings.First,":[101],"carefully":[102],"selecting":[103],"just":[104],"three":[105],"incontext":[106],"examples":[107],"delivers":[108],"an":[109,147,166],"average":[110,148],"uplift":[111],"over":[113],"13":[114],"F1":[115,151,171],"points":[116,152,169],"classification":[118],"tasks-boosting":[119],"sentiment":[120],"analysis":[121],"from":[122,131],"35.3":[123],"%":[124,127,133],"87.5":[126],"paraphrase":[129],"detection":[130],"56.1":[132],"87.0":[135],"%.Second,":[136],"architectures":[139],"outperform":[140],"strong":[142],"GPT":[143],"o4-mini":[144],"baseline":[145],"12":[150],"inference":[155],"tasks":[156],"zero-shot":[159],"setting.Third,":[160],"LoRA-based":[161],"fine-tuning":[162],"yields":[163],"up":[164],"additional":[167],"8":[168],"BLEU":[173],"compared":[174],"equivalent":[176],"increases":[177],"model":[179],"scale.":[180]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-11-08T00:00:00"}
