{"id":"https://openalex.org/W7151593426","doi":"https://doi.org/10.48550/arxiv.2604.04562","title":"Paper Espresso: From Paper Overload to Research Insight","display_name":"Paper Espresso: From Paper Overload to Research Insight","publication_year":2026,"publication_date":"2026-04-06","ids":{"openalex":"https://openalex.org/W7151593426","doi":"https://doi.org/10.48550/arxiv.2604.04562"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.04562","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04562","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.04562","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5133142981","display_name":"Mingzhe Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Du, Mingzhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001659855","display_name":"Luu Anh Tuan","orcid":"https://orcid.org/0000-0001-6062-207X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tuan, Luu Anh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133083928","display_name":"Dong Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133102933","display_name":"See-kiong Ng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ng, See-kiong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"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":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/T10028","display_name":"Topic Modeling","score":0.17649999260902405,"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":0.17649999260902405,"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/T13607","display_name":"Academic Publishing and Open Access","score":0.1273999959230423,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.07970000058412552,"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/novelty","display_name":"Novelty","score":0.7943000197410583},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.7340999841690063},{"id":"https://openalex.org/keywords/publishing","display_name":"Publishing","score":0.5101000070571899},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4812999963760376},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.4429999887943268},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.3179999887943268}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7943000197410583},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.7340999841690063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6460000276565552},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5490999817848206},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.5101000070571899},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4812999963760376},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.4429999887943268},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C165347436","wikidata":"https://www.wikidata.org/wiki/Q1514547","display_name":"Project commissioning","level":3,"score":0.298799991607666},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.28760001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26420000195503235},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.04562","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04562","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.04562","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.04562","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.41020962595939636,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,31],"accelerating":[1],"pace":[2],"of":[3,65],"scientific":[4],"publishing":[5],"makes":[6],"it":[7],"increasingly":[8],"difficult":[9],"for":[10,95,117],"researchers":[11],"to":[12,38],"stay":[13],"current.":[14],"We":[15],"present":[16],"Paper":[17,68],"Espresso,":[18],"an":[19],"open-source":[20],"platform":[21],"that":[22],"automatically":[23],"discovers,":[24],"summarizes,":[25],"and":[26,45,47,55,75,104,111],"analyzes":[27],"trending":[28],"arXiv":[29],"papers.":[30],"system":[32],"uses":[33],"large":[34],"language":[35],"models":[36],"(LLMs)":[37],"generate":[39],"structured":[40,79],"summaries":[41],"with":[42],"topical":[43],"labels":[44],"keywords,":[46],"provides":[48],"multi-granularity":[49],"trend":[50],"analysis":[51],"at":[52,127],"daily,":[53],"weekly,":[54],"monthly":[56],"scales":[57],"through":[58],"LLM-driven":[59],"topic":[60,99,109],"consolidation.":[61],"Over":[62],"35":[63],"months":[64],"continuous":[66],"deployment,":[67],"Espresso":[69],"has":[70],"processed":[71],"over":[72],"13,300":[73],"papers":[74],"publicly":[76],"released":[77],"all":[78],"metadata,":[80],"revealing":[81],"rich":[82],"dynamics":[83],"in":[84,92],"the":[85,118],"AI":[86],"research":[87],"landscape:":[88],"a":[89,105],"mid-2025":[90],"surge":[91],"reinforcement":[93],"learning":[94],"LLM":[96],"reasoning,":[97],"non-saturating":[98],"emergence":[100],"(6,673":[101],"unique":[102],"topics),":[103],"positive":[106],"correlation":[107],"between":[108],"novelty":[110],"community":[112],"engagement":[113],"(2.0x":[114],"median":[115],"upvotes":[116],"most":[119],"novel":[120],"papers).":[121],"A":[122],"live":[123],"demo":[124],"is":[125],"available":[126],"https://huggingface.co/spaces/Elfsong/Paper_Espresso.":[128]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-08T00:00:00"}
