{"id":"https://openalex.org/W4396843976","doi":"https://doi.org/10.1145/3589335.3641299","title":"Information Retrieval Meets Large Language Models","display_name":"Information Retrieval Meets Large Language Models","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843976","doi":"https://doi.org/10.1145/3589335.3641299"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3641299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641299","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100423656","display_name":"Zheng Liu","orcid":"https://orcid.org/0000-0001-7765-8466"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Liu","raw_affiliation_strings":["BAAI, Beijing, China"],"affiliations":[{"raw_affiliation_string":"BAAI, Beijing, China","institution_ids":["https://openalex.org/I4210100255"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551740","display_name":"Yujia Zhou","orcid":"https://orcid.org/0000-0002-6385-3882"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujia Zhou","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007186741","display_name":"Yutao Zhu","orcid":"https://orcid.org/0000-0002-9432-3251"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yutao Zhu","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087106517","display_name":"Jianxun Lian","orcid":"https://orcid.org/0000-0003-3108-5601"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxun Lian","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037831162","display_name":"Chaozhuo Li","orcid":"https://orcid.org/0000-0002-9867-1712"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaozhuo Li","raw_affiliation_strings":["Microsoft Research Asia, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010558184","display_name":"Zhicheng Dou","orcid":"https://orcid.org/0000-0002-9781-948X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Dou","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018977183","display_name":"Jian\u2010Yun Nie","orcid":"https://orcid.org/0000-0003-1556-3335"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian-Yun Nie","raw_affiliation_strings":["University of Montreal, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"University of Montreal, Montreal, QC, Canada","institution_ids":["https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100423656"],"corresponding_institution_ids":["https://openalex.org/I4210100255"],"apc_list":null,"apc_paid":null,"fwci":4.1702,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94564366,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1586","last_page":"1589"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8418999910354614,"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":0.8418999910354614,"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":0.8054999709129333,"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/computer-science","display_name":"Computer science","score":0.7817253470420837},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5669464468955994},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4745912253856659},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37082308530807495},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32665330171585083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817253470420837},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5669464468955994},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4745912253856659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37082308530807495},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32665330171585083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3641299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3641299","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3641299","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3641299","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843976.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"The":[0,146],"advent":[1],"of":[2,42,55,62,92,97,102,114,155,159,174],"large":[3],"language":[4],"models":[5],"(LLMs)":[6],"presents":[7],"both":[8],"opportunities":[9],"and":[10,57,64,84,100,120,143,150,184,197],"challenges":[11],"for":[12,74,78,191],"the":[13,29,45,53,59,65,71,79,112,121,166,188,207],"information":[14],"retrieval":[15,30,56],"(IR)":[16],"community.":[17,208],"On":[18,44],"one":[19,109],"hand,":[20,47],"LLMs":[21],"will":[22,135,170,194,201],"revolutionize":[23],"how":[24],"people":[25],"access":[26],"information,":[27],"meanwhile":[28],"techniques":[31],"can":[32],"play":[33],"a":[34,127,137,156,203],"crucial":[35],"role":[36],"in":[37,116,130,165],"addressing":[38],"many":[39,87],"inherent":[40],"limitations":[41],"LLMs.":[43],"other":[46],"there":[48],"are":[49,153],"open":[50],"problems":[51],"regarding":[52],"collaboration":[54],"generation,":[58],"potential":[60],"risks":[61],"misinformation,":[63],"concerns":[66],"about":[67],"cost-effectiveness.":[68],"To":[69],"seize":[70],"critical":[72],"moment":[73],"development,":[75],"it":[76],"calls":[77],"joint":[80],"effort":[81],"from":[82,162],"academia":[83],"industry":[85],"on":[86],"key":[88],"issues,":[89],"including":[90,177],"identification":[91],"new":[93,98,103],"research":[94],"problems,":[95],"proposal":[96],"techniques,":[99],"creation":[101],"evaluation":[104],"protocols.":[105],"It":[106],"has":[107],"been":[108],"year":[110],"since":[111],"launch":[113],"ChatGPT":[115],"November":[117],"last":[118],"year,":[119],"entire":[122],"community":[123],"is":[124],"currently":[125],"undergoing":[126],"profound":[128],"transformation":[129],"techniques.":[131],"Therefore,":[132],"this":[133,192],"workshop":[134,193],"be":[136,171,195],"timely":[138],"venue":[139],"to":[140,206],"exchange":[141],"ideas":[142],"forge":[144],"collaborations.":[145],"organizers,":[147],"committee":[148],"members,":[149],"invited":[151,178],"speakers":[152],"composed":[154],"diverse":[157],"group":[158],"researchers":[160],"coming":[161],"leading":[163],"institutions":[164],"world.":[167],"This":[168],"event":[169],"made":[172],"up":[173],"multiple":[175],"sessions,":[176],"talks,":[179],"paper":[180],"presentations,":[181],"hands-on":[182],"tutorials,":[183],"panel":[185],"discussions.":[186],"All":[187],"materials":[189],"collected":[190],"archived":[196],"shared":[198],"publicly,":[199],"which":[200],"present":[202],"long-term":[204],"value":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}