{"id":"https://openalex.org/W4416035507","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1497","title":"Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts","display_name":"Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035507","doi":"https://doi.org/10.18653/v1/2025.emnlp-main.1497"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1497","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1497","pdf_url":"https://aclanthology.org/2025.emnlp-main.1497.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.emnlp-main.1497.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100534847","display_name":"Yifei Yu","orcid":"https://orcid.org/0009-0002-8309-6206"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yifei Yu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100766222","display_name":"Qianwen Zhang","orcid":"https://orcid.org/0000-0001-6169-2555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qian-Wen Zhang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101026062","display_name":"Lingfeng Qiao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lingfeng Qiao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100567807","display_name":"Di Yin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Di Yin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067841153","display_name":"Lihua Fang","orcid":"https://orcid.org/0000-0003-2156-4406"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115592665","display_name":"Jie Wang","orcid":"https://orcid.org/0000-0002-6126-5120"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109908765","display_name":"Chaoyue Xi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen Zeng Xi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110447612","display_name":"Suncong Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suncong Zheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111415657","display_name":"Xiaolong Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolong Liang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5110860333","display_name":"Xing Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Sun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100534847"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1907,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.95782224,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"29438","last_page":"29456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.3336000144481659,"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":0.3336000144481659,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.07419999688863754,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.07259999960660934,"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/benchmark","display_name":"Benchmark (surveying)","score":0.5364000201225281},{"id":"https://openalex.org/keywords/chen","display_name":"Chen","score":0.4377000033855438},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.36399999260902405},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.3580999970436096},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.3077999949455261},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.30090001225471497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6237000226974487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5594000220298767},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5364000201225281},{"id":"https://openalex.org/C2776085556","wikidata":"https://www.wikidata.org/wiki/Q183361","display_name":"Chen","level":2,"score":0.4377000033855438},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3529999852180481},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.3077999949455261},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.30090001225471497},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2971999943256378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28279998898506165},{"id":"https://openalex.org/C2778774319","wikidata":"https://www.wikidata.org/wiki/Q1940269","display_name":"Fang","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.emnlp-main.1497","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1497","pdf_url":"https://aclanthology.org/2025.emnlp-main.1497.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.emnlp-main.1497","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.emnlp-main.1497","pdf_url":"https://aclanthology.org/2025.emnlp-main.1497.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":"Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035507.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Yifei":[0],"Yu,":[1],"Qian-Wen":[2],"Zhang,":[3],"Lingfeng":[4],"Qiao,":[5],"Di":[6],"Yin,":[7],"Fang":[8],"Li,":[9],"Jie":[10],"Wang,":[11],"Chen":[12],"Zeng":[13],"Xi,":[14],"Suncong":[15],"Zheng,":[16],"Xiaolong":[17],"Liang,":[18],"Xing":[19],"Sun.":[20],"Proceedings":[21],"of":[22],"the":[23],"2025":[24],"Conference":[25],"on":[26],"Empirical":[27],"Methods":[28],"in":[29],"Natural":[30],"Language":[31],"Processing.":[32],"2025.":[33]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-03-22T08:09:32.410652","created_date":"2025-11-08T00:00:00"}
