{"id":"https://openalex.org/W4389520403","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.610","title":"Prompting Scientific Names for Zero-Shot Species Recognition","display_name":"Prompting Scientific Names for Zero-Shot Species Recognition","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389520403","doi":"https://doi.org/10.18653/v1/2023.emnlp-main.610"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.emnlp-main.610","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.610","pdf_url":"https://aclanthology.org/2023.emnlp-main.610.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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.emnlp-main.610.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024670621","display_name":"Shubham Parashar","orcid":null},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shubham Parashar","raw_affiliation_strings":["Texas A&M University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Texas A&M University,","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100575316","display_name":"Zhiqiu Lin","orcid":"https://orcid.org/0000-0003-4938-2313"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiqiu Lin","raw_affiliation_strings":["Carnegie Mellon University,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University,","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115602129","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0003-2886-1585"},"institutions":[{"id":"https://openalex.org/I4210123185","display_name":"Zhejiang Lab","ror":"https://ror.org/02m2h7991","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210123185"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Zhejiang Lab,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Lab,","institution_ids":["https://openalex.org/I4210123185"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066406697","display_name":"Shu Kong","orcid":"https://orcid.org/0000-0002-1362-5937"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]},{"id":"https://openalex.org/I4210157323","display_name":"South China Institute of Collaborative Innovation","ror":"https://ror.org/04jnpk588","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210157323","https://openalex.org/I90610280"]},{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["CN","MO","US"],"is_corresponding":false,"raw_author_name":"Shu Kong","raw_affiliation_strings":["Institute of Collaborative Innovation,","Texas A&M University,","University of Macau"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Collaborative Innovation,","institution_ids":["https://openalex.org/I4210157323"]},{"raw_affiliation_string":"Texas A&M University,","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.3795,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.99177207,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9856","last_page":"9861"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9908000230789185,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7936887741088867},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6136600971221924},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6023060083389282},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5781153440475464},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5364898443222046},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.5272889733314514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502919614315033},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3590877652168274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3295307755470276},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.23721474409103394}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7936887741088867},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6136600971221924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6023060083389282},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5781153440475464},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5364898443222046},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.5272889733314514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502919614315033},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3590877652168274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3295307755470276},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.23721474409103394},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.emnlp-main.610","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.610","pdf_url":"https://aclanthology.org/2023.emnlp-main.610.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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.emnlp-main.610","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.emnlp-main.610","pdf_url":"https://aclanthology.org/2023.emnlp-main.610.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 2023 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G243174938","display_name":null,"funder_award_id":"SRG2023-00044-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389520403.pdf","grobid_xml":"https://content.openalex.org/works/W4389520403.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1797268635","https://openalex.org/W2128532956","https://openalex.org/W2533598788","https://openalex.org/W2562153041","https://openalex.org/W2963499153","https://openalex.org/W2963779825","https://openalex.org/W3126337491","https://openalex.org/W3126612734","https://openalex.org/W3137016256","https://openalex.org/W3166396011","https://openalex.org/W3171403033","https://openalex.org/W3175381344","https://openalex.org/W3198377975","https://openalex.org/W3209532394","https://openalex.org/W4281691051","https://openalex.org/W4302013247","https://openalex.org/W4320813149","https://openalex.org/W4322718191","https://openalex.org/W4360836968","https://openalex.org/W4390872508"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W2112883198"],"abstract_inverted_index":{"Trained":[0],"on":[1,165],"web-scale":[2],"image-text":[3],"pairs,":[4],"Vision-Language":[5],"Models":[6],"(VLMs)":[7],"such":[8,74,138],"as":[9],"CLIP":[10,18,45],"However,":[11],"it":[12],"is":[13,65,72],"underexplored":[14],"how":[15],"to":[16,90,95,122,129,150],"use":[17,55,91,106,137],"for":[19,33,48],"zeroshot":[20],"recognition":[21,51],"of":[22,28,61,99,168],"highly":[23],"specialized":[24],"concepts,":[25],"e.g.,":[26,58],"species":[27,50,100,170],"birds,":[29],"plants,":[30],"and":[31,102,104,136,157],"animals,":[32],"which":[34],"their":[35],"scientific":[36,56,67,124],"names":[37,75,125,132,146],"are":[38,76,120,147],"written":[39],"in":[40,69,80,108,139,153],"Latin":[41],"or":[42],"Greek.":[43],"Indeed,":[44],"performs":[46],"poorly":[47],"zero-shot":[49],"with":[52],"prompts":[53],"that":[54,112,144],"names,":[57],"\"a":[59],"photo":[60],"Lepus":[62,127],"Timidus\"":[63],"(which":[64],"a":[66],"name":[68],"Latin).":[70],"This":[71],"because":[73],"usually":[77],"not":[78],"included":[79,152],"CLIP's":[81,154],"training":[82,155],"set.":[83],"To":[84],"improve":[85],"performance,":[86],"prior":[87],"works":[88],"propose":[89],"largelanguage":[92],"models":[93],"(LLMs)":[94],"generate":[96],"descriptions":[97],"(e.g.,":[98,126,133],"color":[101],"shape)":[103],"additionally":[105],"them":[107,159],"prompts.":[109,141],"We":[110,142],"find":[111,143],"they":[113],"bring":[114],"only":[115],"marginal":[116],"gains.":[117],"Differently,":[118],"we":[119],"motivated":[121],"translate":[123],"Timidus)":[128],"common":[130,145],"English":[131],"mountain":[134],"hare)":[135],"the":[140],"more":[148],"likely":[149],"be":[151],"set,":[156],"prompting":[158],"achieves":[160],"25":[161],"times":[162],"higher":[163],"accuracy":[164],"benchmarking":[166],"datasets":[167],"fine-grained":[169],"recognition.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
