NishiSearch

Web This site Trusted

26 result(s) for “okapi bm25 site terms com pp site www may mason medical com site www mvc com site:arxiv.org” · 634 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: newest result fetched 24 d ago · median age of these results 24 d · 1 of 26 carry a fetch time

com/bd2a28d2535bfb0494cc8e2a3bf135d2e7523226/Model-Card-Claude-2
from the top result below

Report GitHub Issue

https://arxiv.org/html/2608.02613v1
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

1 Introduction

https://arxiv.org/html/2501.13956v1
com Abstract We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem Introduction The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al

Computation and Language

https://arxiv.org/list/cs.CL/new
We evaluate five open-weight readers with Vanilla context, BM25-RAG, Oracle retrieval, Memobase, and MemSearch as memory backends

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Artificial Intelligence New submissions Cross-lists Replacements See recent

%PDF-1.7 % 1 0 obj > stream xYr8}c{R$ʑ׎l#9KMuh

https://arxiv.org/pdf/2608.02122
ؑEH%|K.y1m.\4#D&Db"  Kc.I)QDF`%'f(#RrF11H$"M)xq "xRx0',M6ur)~f5"x!-kq{sǥANjǿ-lz~7㉁Udag0b?] Mffv m\(\B]†nG

LG.T樣ψ4x+j G~dt>`7GL3վˠR9 vS,Mދq

https://arxiv.org/src/2303.12712
#Z-! MCj8 Õ /EtNky>ΉA4Yr'KR.qyKy92fFʕJ.h ݬ VwNc}]X;qf#aH腚,9ޭdұ1Ǝ:%Ztu!*Z:۹;"F. ::Tx.F666{'OUMU' 3`$Q

%PDF-1.7 % 1 0 obj > stream x\rFr}WQ`IihʫRZ

https://arxiv.org/pdf/2608.03411
6applМe~-y2Gi&pf3KjGKe ,"&:w|ҶP"rfr\xqF=/ܖn*>]zJX-w_0}0(B5&2

%PDF-1.5 % 5 0 obj > stream xXko8_q?Dzp+34L,D

https://arxiv.org/pdf/2006.03178
==WegWY APy=ɥKt@BRߊpI$GO%)O20!4 -IR^@J (@R>iҡ \-\LcfAAtzS (W}" Q&ԄQ=ߠD2 '-f ?7 ` 'D0J &1!`9{%0LRqBl.+cb

c;^y٘ҏgG|~?z~ϓFD9zfd_໯

https://arxiv.org/src/2006.02055
3BȤ/;?$eR B&OȤ2B&埐OȤ2AFMz?_u5%D2?Hw/t!w~?Kf_ozP ?0{d,TNuoMjFg}#+ $;" s!誓 >ƃ^[zA ho¤UQ؀ދ+(TlXoZ

^} `x`"(ƶ-DD@ALMd&)i ii .

https://arxiv.org/src/2006.03318
$yg>PP/,A'zl qCjb`bjrR 0v %#\\&)|LK\&E:"ĉ4 ҦG,ቹ$ i1μd(

[2608.03883] DS@GT-ARC at eRisk 2026 Task 3: Sparse, Semantic, and LLM

https://arxiv.org/abs/2608.03883
Our systems combine sparse BM25 retrieval, evidence-aware rescoring for self-referential symptom reports, embedding-based reranking, query-prototype expansion, and LLM-based reranking

1 Introduction

https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands Slack http://bit

[2104.08663] BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of

https://arxiv.org/abs/2104.08663
Our results show BM25 is a robust baseline and re-ranking and late-interaction-based models on average achieve the best zero-shot performances, however, at high computational costs

[2608.03860] SciRet: A Compute-Aware Empirical Study of Retrieval and

https://arxiv.org/abs/2608.03860
The pipeline combines sentence-window chunking, BM25, BGE-M3 dense retrieval, reciprocal rank fusion, optional cross-encoder reranking, and grounded answer generation

Information Retrieval

https://arxiv.org/list/cs.IR/recent
Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Information Retrieval Authors and titles for recent submissions Wed, 5 Aug 2026

Information Retrieval

https://arxiv.org/list/cs.IR/new
For what to learn, conventional next-token prediction treats adjacency as dependency and may encode spurious transitions across unrelated sessions

%PDF-1.7 % 1 0 obj > stream xZm_u-I  &v-a}\

https://arxiv.org/pdf/2608.02943
q]o{)W^G~e_DqAv3~ ƁGQadw0 Y ^lw"`@/eD{Qh3'7ʽ[HlmtU2m~aPPp8G$ mĄ3">pOKt_

%PDF-1.5 % 7 0 obj > stream xP(endstream endobj 9 0 obj >

https://arxiv.org/pdf/2407.00768
stream xP(endstream endobj 11 0 obj > stream xP(endstream endobj 17 0 obj > stream xP(endstream endobj 20 0 obj > stream xP(endstream endobj 23 0 obj > stream xP(endstream endobj

%PDF-1.7 % 1 0 obj >/MarkInfo>/Metadata 2830 0 R/ViewerPreferences

https://arxiv.org/pdf/2608.02978
OpqPpq Y`FYwCvyG1c6着Us(;c6 n@ȁFh>4d2[___ʉ07Qjn}02r db7р'K (p-|]O$R]M]WUIW

%PDF-1.7 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Cache

https://arxiv.org/pdf/2510.03215
Pp~NG\cqF*XȻI\%〫~h`kx6p3 g2(5Co(dr/ъӓ_눟kP}Ca @B׬

%PDF-1.7 % 1 0 obj > stream xZioH?$f$rسb;c1h#K

https://arxiv.org/pdf/2608.03063
ٔ@:^( 1t0xa2X̤6,aJ(2B#bZ 93Co4Xbb5KUĸ2F8$QV f#"R^ExWeU-5CHDP;%2axRU$Wqʤ B|u/' . 442N98QLI@G]# 2 8*"4TS9>+

%PDF-1.3 % 3 0 obj > stream x]ksu_̂ modRVֲ+b

https://arxiv.org/pdf/2601.04660
ˍqU9ݷCbMJUq_ #}#*}!-q,V~/՘uU{-˶I?hGk!&yJ%柽L4]Jn뙽{qie'?O\1=PKe 'wGiu0'NX?/s:21Á7/[KLc

%PDF-1.5 % 7 0 obj > stream xP(endstream endobj 9 0 obj >

https://arxiv.org/pdf/2407.00215
stream xP(endstream endobj 11 0 obj > stream xP(endstream endobj 17 0 obj > stream xP(endstream endobj 20 0 obj > stream xP(endstream endobj 23 0 obj > stream xP(endstream endobj

%PDF-1.7 % 1 0 obj > stream x[is۸~?Nޔ bRuV%v8N

https://arxiv.org/pdf/2608.02615
mNJ3mDbwF=Ml;x,qq,ޣ^}ZXy:wWW|

%PDF-1.5 % 162 0 obj > stream x[KƑϯ`"vD7:#Y5hD

https://arxiv.org/pdf/2407.00132
Pvͬ*Tഴ@*_f%& Qnʤd܈&K2%6Ϳm3͝4I]=Cj>Uz=қL|KH7gII7{&MTYlmFjކfwqueŶT{zƕd:ZcdzVE3`]Ano3@r)+/Ԭn`kYfy