iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://api.openalex.org/works/doi:10.48550/ARXIV.2403.19889
{"id":"https://openalex.org/W4393399070","doi":"https://doi.org/10.48550/arxiv.2403.19889","title":"Towards a Robust Retrieval-Based Summarization System","display_name":"Towards a Robust Retrieval-Based Summarization System","publication_year":2024,"publication_date":"2024-03-28","ids":{"openalex":"https://openalex.org/W4393399070","doi":"https://doi.org/10.48550/arxiv.2403.19889"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.19889","pdf_url":"http://arxiv.org/pdf/2403.19889","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://arxiv.org/pdf/2403.19889","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104267967","display_name":"Shengjie Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Shengjie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111158194","display_name":"Jing Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Jing","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101326247","display_name":"Jingyuan Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bao, Jingyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354892","display_name":"Wenyi Wang","orcid":"https://orcid.org/0000-0002-9127-102X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Wenyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998748","display_name":"Naira Hovakimyan","orcid":"https://orcid.org/0000-0003-3850-1073"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hovakimyan, Naira","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5013460936","display_name":"Christopher G. Healey","orcid":"https://orcid.org/0000-0002-2617-8638"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Healey, Christopher G","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":86},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Natural Language Processing","score":0.9765,"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":"Natural Language Processing","score":0.9765,"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/T12016","display_name":"Web Data Extraction and Crawling Techniques","score":0.9687,"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/T11719","display_name":"Data Quality Assessment and Improvement","score":0.967,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.45804614}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9198532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6671839},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6406501},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.45804614},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33488828}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.19889","pdf_url":"http://arxiv.org/pdf/2403.19889","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.19889","pdf_url":"http://arxiv.org/pdf/2403.19889","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2902627734","https://openalex.org/W2748952813","https://openalex.org/W2568827738","https://openalex.org/W2365100044","https://openalex.org/W2351187795","https://openalex.org/W2173208124","https://openalex.org/W2112885393","https://openalex.org/W2104677027","https://openalex.org/W1990695371"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"an":[3,38,81,95],"investigation":[4],"of":[5,8,83,86,94,110],"the":[6,92,108],"robustness":[7,48,75],"large":[9],"language":[10],"models":[11],"(LLMs)":[12],"for":[13],"retrieval":[14],"augmented":[15],"generation":[16],"(RAG)-based":[17],"summarization":[18,23,117],"tasks.":[19],"While":[20],"LLMs":[21],"provide":[22],"capabilities,":[24],"their":[25],"performance":[26],"in":[27,101],"complex,":[28],"real-world":[29],"scenarios":[30,44],"remains":[31],"under-explored.":[32],"Our":[33],"first":[34],"contribution":[35],"is":[36,80],"LogicSumm,":[37],"innovative":[39],"evaluation":[40],"framework":[41],"incorporating":[42],"realistic":[43],"to":[45,65,73,90],"assess":[46],"LLM":[47],"during":[49],"RAG-based":[50],"summarization.":[51],"Based":[52],"on":[53],"limitations":[54],"identified":[55],"by":[56],"LogiSumm,":[57],"we":[58],"then":[59],"developed":[60],"SummRAG,":[61,111],"a":[62,71,102],"comprehensive":[63],"system":[64],"create":[66],"training":[67],"dialogues":[68],"and":[69,116,123],"fine-tune":[70],"model":[72,121],"enhance":[74],"within":[76],"LogicSumm's":[77],"scenarios.":[78],"SummRAG":[79],"example":[82],"our":[84],"goal":[85],"defining":[87],"structured":[88],"methods":[89],"test":[91],"capabilities":[93],"LLM,":[96],"rather":[97],"than":[98],"addressing":[99],"issues":[100],"one-off":[103],"fashion.":[104],"Experimental":[105],"results":[106],"confirm":[107],"power":[109],"showcasing":[112],"improved":[113],"logical":[114],"coherence":[115],"quality.":[118],"Data,":[119],"corresponding":[120],"weights,":[122],"Python":[124],"code":[125],"are":[126],"available":[127],"online.":[128]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4393399070","counts_by_year":[],"updated_date":"2024-10-17T11:34:57.204287","created_date":"2024-04-02"}