{"id":"https://openalex.org/W4412887804","doi":"https://doi.org/10.18653/v1/2025.findings-acl.972","title":"TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues","display_name":"TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412887804","doi":"https://doi.org/10.18653/v1/2025.findings-acl.972"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.972","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.972","pdf_url":"https://aclanthology.org/2025.findings-acl.972.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.972.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088216458","display_name":"Yubin Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yubin Ge","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047508198","display_name":"Salvatore Romeo","orcid":"https://orcid.org/0000-0001-7592-0328"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Salvatore Romeo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010891911","display_name":"Jason Cai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jason Cai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077805110","display_name":"Raphael Shu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raphael Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109466332","display_name":"Yassine Benajiba","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yassine Benajiba","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Monica Sunkara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Monica Sunkara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100388053","display_name":"Yi Zhang","orcid":"https://orcid.org/0000-0001-7201-2092"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.93053286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"18974","last_page":"18988"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9983999729156494,"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":0.9976000189781189,"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/T12031","display_name":"Speech and dialogue systems","score":0.9970999956130981,"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/session","display_name":"Session (web analytics)","score":0.8833013772964478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7524064779281616},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.5467092990875244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39161816239356995},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34947919845581055},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22919318079948425},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0723409354686737}],"concepts":[{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.8833013772964478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524064779281616},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.5467092990875244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39161816239356995},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34947919845581055},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22919318079948425},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0723409354686737}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.972","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.972","pdf_url":"https://aclanthology.org/2025.findings-acl.972.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.972","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.972","pdf_url":"https://aclanthology.org/2025.findings-acl.972.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":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412887804.pdf","grobid_xml":"https://content.openalex.org/works/W4412887804.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603"],"abstract_inverted_index":{"Temporal":[0],"reasoning":[1,16,29,62,125,151],"in":[2,13,30,66,83,148,152],"multi-session":[3,31,153],"dialogues":[4,32,44],"presents":[5],"a":[6,23,39,54],"significant":[7],"challenge":[8],"which":[9],"has":[10],"been":[11],"under-studied":[12],"previous":[14],"temporal":[15,28,61,94,103,124,150],"benchmarks.To":[17],"bridge":[18],"this":[19,67],"gap,":[20],"we":[21,51,91],"propose":[22],"new":[24,40,55],"evaluation":[25],"task":[26],"for":[27],"and":[33,47,105,118,144],"introduce":[34],"an":[35],"approach":[36,143],"to":[37,101,128,139],"construct":[38],"benchmark":[41,115],"by":[42,80],"augmenting":[43],"from":[45,132],"LoCoMo":[46],"creating":[48],"multi-choice":[49],"QAs.Furthermore,":[50],"present":[52],"TReMu,":[53],"framework":[56,70,121],"aimed":[57],"at":[58],"enhancing":[59],"the":[60,69,119],"capabilities":[63],"of":[64],"LLM-agents":[65],"context.Specifically,":[68],"employs":[71],"time-aware":[72],"memorization":[73],"through":[74],"timeline":[75],"summarization,":[76],"generating":[77],"retrievable":[78],"memory":[79],"summarizing":[81],"events":[82],"each":[84],"dialogue":[85],"session":[86],"with":[87],"their":[88],"inferred":[89],"dates.Additionally,":[90],"integrate":[92],"neuro-symbolic":[93],"reasoning,":[95],"where":[96],"LLMs":[97,111],"generate":[98],"Python":[99],"code":[100],"perform":[102],"calculations":[104],"select":[106],"answers.Experimental":[107],"evaluations":[108],"on":[109,134],"popular":[110],"demonstrate":[112],"that":[113],"our":[114,142],"is":[116],"challenging,":[117],"proposed":[120],"significantly":[122],"improves":[123],"performance":[126],"compared":[127],"baseline":[129],"methods,":[130],"raising":[131],"29.83":[133],"GPT-4o":[135],"via":[136,141],"standard":[137],"prompting":[138],"77.67":[140],"highlighting":[145],"its":[146],"effectiveness":[147],"addressing":[149],"dialogues.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
