{"id":"https://openalex.org/W7160613478","doi":"https://doi.org/10.48550/arxiv.2605.06132","title":"MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval","display_name":"MemReranker: Reasoning-Aware Reranking for Agent Memory Retrieval","publication_year":2026,"publication_date":"2026-05-07","ids":{"openalex":"https://openalex.org/W7160613478","doi":"https://doi.org/10.48550/arxiv.2605.06132"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.06132","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06132","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.06132","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5135707023","display_name":"Chunyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Chunyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135648489","display_name":"Mengyuan Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Mengyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135722133","display_name":"Jingyi Kang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kang, Jingyi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135679382","display_name":"Ding Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Ding","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135649757","display_name":"Jiajun Shen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Jiajun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135723307","display_name":"Bo Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135649261","display_name":"Xuanhe Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Xuanhe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135663503","display_name":"Feiyu Xiong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiong, Feiyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5135680502","display_name":"Zhiyu Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Zhiyu","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":0.6409000158309937,"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":0.6409000158309937,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.15189999341964722,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.057100001722574234,"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/coreference","display_name":"Coreference","score":0.5817000269889832},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5479000210762024},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4537999927997589},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43309998512268066},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.42820000648498535},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.38510000705718994},{"id":"https://openalex.org/keywords/semantic-memory","display_name":"Semantic memory","score":0.35280001163482666},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.34220001101493835},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.33880001306533813}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8456000089645386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6147000193595886},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.5817000269889832},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5479000210762024},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4397999942302704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43309998512268066},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.38510000705718994},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37529999017715454},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.35280001163482666},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.3296999931335449},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.32739999890327454},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.32580000162124634},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.30820000171661377},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.272599995136261},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.2694999873638153},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.25290000438690186},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.25189998745918274}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.06132","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06132","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.06132","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.06132","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":"Preprint"},"sustainable_development_goals":[{"score":0.5538457632064819,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.440790593624115,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"agent":[1],"memory":[2,66,161],"systems,":[3],"the":[4,9,21,54,60,95,160,208],"reranking":[5,27,109],"model":[6,96,110],"serves":[7],"as":[8,68,173,175],"critical":[10],"bridge":[11],"connecting":[12],"user":[13],"queries":[14],"with":[15,146,185,190,215],"long-term":[16],"memory.":[17],"Most":[18],"systems":[19],"adopt":[20],"\"retrieve-then-rerank\"":[22],"two-stage":[23],"paradigm,":[24],"but":[25],"generic":[26],"models":[28,172,209],"rely":[29],"on":[30,114,177,188,213],"semantic":[31,102],"similarity":[32],"matching":[33],"and":[34,90,134,156,168,204],"lack":[35],"genuine":[36],"reasoning":[37],"capabilities,":[38],"leading":[39],"to":[40,58],"a":[41,108],"problem":[42],"where":[43],"recalled":[44],"results":[45],"are":[46,75],"semantically":[47],"highly":[48],"relevant":[49],"yet":[50],"do":[51],"not":[52],"contain":[53],"key":[55,178],"information":[56],"needed":[57],"answer":[59],"question.":[61],"This":[62,104],"deficiency":[63],"manifests":[64],"in":[65],"scenarios":[67],"three":[69],"specific":[70],"problems.":[71],"First,":[72],"relevance":[73],"scores":[74],"miscalibrated,":[76],"making":[77],"threshold-based":[78],"filtering":[79],"difficult.":[80],"Second,":[81],"ranking":[82],"degrades":[83],"when":[84],"facing":[85],"temporal":[86,152],"constraints,":[87,153],"causal":[88,154],"reasoning,":[89,155],"other":[91],"complex":[92],"queries.":[93],"Third,":[94],"cannot":[97],"leverage":[98],"dialogue":[99,149],"context":[100],"for":[101],"disambiguation.":[103],"report":[105],"introduces":[106],"MemReranker,":[107],"family":[111],"(0.6B/4B)":[112],"built":[113],"Qwen3-Reranker":[115],"through":[116],"multi-stage":[117],"LLM":[118],"knowledge":[119],"distillation.":[120],"Multi-teacher":[121],"pairwise":[122],"comparisons":[123],"generate":[124],"calibrated":[125],"soft":[126],"labels,":[127],"BCE":[128],"pointwise":[129],"distillation":[130],"establishes":[131],"well-distributed":[132],"scores,":[133],"InfoNCE":[135],"contrastive":[136],"learning":[137],"enhances":[138],"hard-sample":[139],"discrimination.":[140],"Training":[141],"data":[142,150],"combines":[143],"general":[144],"corpora":[145],"memory-specific":[147],"multi-turn":[148],"covering":[151],"coreference":[157],"resolution.":[158],"On":[159,202],"retrieval":[162],"benchmark,":[163],"MemReranker-0.6B":[164],"substantially":[165],"outperforms":[166],"BGE-Reranker":[167],"matches":[169],"open-source":[170],"4B/8B":[171],"well":[174],"GPT-4o-mini":[176],"metrics.":[179],"MemReranker-4B":[180],"further":[181],"achieves":[182],"0.737":[183],"MAP,":[184],"several":[186],"metrics":[187],"par":[189,214],"Gemini-3-Flash,":[191],"while":[192],"maintaining":[193],"inference":[194],"latency":[195],"at":[196],"only":[197],"10--20%":[198],"of":[199],"large":[200],"models.":[201],"finance":[203],"healthcare":[205],"vertical-domain":[206],"benchmarks,":[207],"preserve":[210],"generalization":[211],"capabilities":[212],"mainstream":[216],"large-parameter":[217],"rerankers.":[218]},"counts_by_year":[],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-05-09T00:00:00"}