{"id":"https://openalex.org/W7148893284","doi":"https://doi.org/10.48550/arxiv.2604.02259","title":"Retrieval-Augmented Question Answering over Scientific Literature for the Electron-Ion Collider","display_name":"Retrieval-Augmented Question Answering over Scientific Literature for the Electron-Ion Collider","publication_year":2026,"publication_date":"2026-04-02","ids":{"openalex":"https://openalex.org/W7148893284","doi":"https://doi.org/10.48550/arxiv.2604.02259"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.02259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02259","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.2604.02259","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119546137","display_name":"Tina J Jat","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jat, Tina. J.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5132873064","display_name":"T. Ghosh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghosh, T.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101014778","display_name":"Karthik Suresh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suresh, Karthik","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119546137"],"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/T13274","display_name":"Expert finding and Q&A systems","score":0.1996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.1996999979019165,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.14890000224113464,"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/T10028","display_name":"Topic Modeling","score":0.07769999653100967,"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/question-answering","display_name":"Question answering","score":0.7035999894142151},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5697000026702881},{"id":"https://openalex.org/keywords/collider","display_name":"Collider","score":0.5501999855041504},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5490000247955322},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.4819999933242798},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4503999948501587}],"concepts":[{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.7035999894142151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844000220298767},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5697000026702881},{"id":"https://openalex.org/C152290109","wikidata":"https://www.wikidata.org/wiki/Q2033879","display_name":"Collider","level":2,"score":0.5501999855041504},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5490000247955322},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4848000109195709},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.40380001068115234},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.3790000081062317},{"id":"https://openalex.org/C2781083858","wikidata":"https://www.wikidata.org/wiki/Q17327049","display_name":"Scientific literature","level":2,"score":0.35899999737739563},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.34790000319480896},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3328000009059906},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.26249998807907104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.02259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02259","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.2604.02259","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.02259","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":[{"display_name":"Partnerships for the goals","score":0.5487143397331238,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"harness":[1],"the":[2,33,47,52,60,91,114,139,151,156],"power":[3],"of":[4,41,59,116],"Language":[5],"Models":[6],"in":[7,113],"answering":[8,110],"domain":[9],"specific":[10],"specialized":[11],"technical":[12],"questions,":[13],"Retrieval":[14,34],"Augmented":[15,35],"Generation":[16,36],"(RAG)":[17],"is":[18,39,75],"been":[19],"used":[20],"widely.":[21],"In":[22],"this":[23],"work,":[24],"we":[25],"have":[26],"developed":[27],"a":[28,98,105],"Q\\&amp;A":[29,107],"application":[30,81,108,152],"inspired":[31],"by":[32],"(RAG),":[37],"which":[38],"comprised":[40],"an":[42,67,76],"in-house":[43],"database":[44],"indexed":[45],"on":[46,83,109],"arXiv":[48],"articles":[49],"related":[50],"to":[51,78,103,132,142,155],"Electron-Ion":[53],"Collider":[54],"(EIC)":[55],"experiment":[56],"-":[57],"one":[58],"largest":[61],"international":[62],"scientific":[63,128],"collaboration":[64],"and":[65,86,130,147,149],"incorporated":[66],"open-source":[68],"LLaMA":[69],"model":[70,85],"for":[71,90],"answer":[72],"generation.":[73],"This":[74,94,120],"extension":[77],"it's":[79],"proceeding":[80],"built":[82],"proprietary":[84],"Cloud-hosted":[87],"external":[88],"knowledge-base":[89],"EIC":[92],"experiment.":[93],"locally-deployed":[95],"RAG-system":[96],"offers":[97],"cost-effective,":[99],"resource-constraint":[100],"alternative":[101],"solution":[102],"build":[104],"RAG-assisted":[106],"domain-specific":[111],"queries":[112],"field":[115],"experimental":[117],"nuclear":[118],"physics.":[119],"set-up":[121],"facilitates":[122],"data-privacy,":[123],"avoids":[124],"sending":[125],"any":[126],"pre-publication":[127],"data":[129],"information":[131],"public":[133],"domain.":[134],"Future":[135],"improvement":[136],"will":[137],"expand":[138],"knowledge":[140],"base":[141],"encompass":[143],"heterogeneous":[144],"EIC-related":[145],"publications":[146],"reports":[148],"upgrade":[150],"pipeline":[153],"orchestration":[154],"LangGraph":[157],"framework.":[158]},"counts_by_year":[],"updated_date":"2026-04-04T06:15:33.020886","created_date":"2026-04-04T00:00:00"}
