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1 Search
Zep implements three search functions: cosine semantic similarity search (φcos)subscript�cos(\varphi_{\text{cos}})( italic_φ start_POSTSUBSCRIPT cos end_POSTSUBSCRIPT ), Okapi BM25 full-text search (φbm25)subscript�bm25(\varphi_{\text{bm25}})( italic_φ start_POSTSUBSCRIPT bm25 end_POSTSUBSCRIPT )
from the top result below
https://arxiv.org/html/2501.13956v1
2 Knowledge Graph Construction
2.1 Episodes
2.2 Semantic Entities and Facts
2.2.1 Entities
2.2.2 Facts
2.2.3 Temporal Extraction and Edge Invalidation
2.3 Communities
3 Memory Retrieval
3.1 Search
3.2 Reranker
4 Experiments
4.1 Choice
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
https://arxiv.org/html/2608.03048v1
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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
https://arxiv.org/list/cs.AI/new
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https://arxiv.org/pdf/2608.02851v1
%ß6ùõ�ÃG"¥8/1tx4œ93CŠŒ`“LÔ’)¦cš9S1Ã8‚YÆeí˜cܨšÕŒ;ͯ˜¨4LCÏ‚ eQ™0F3®˜p†ÞÑLVVÒ»L ²Ì-“ÊѳcÒ8z®™t4¯¨˜ªhÁ™¢È(Sš¹dSLÕ‚ž5Ó\Ò³aZ*úµLkC|rÚ*ÄÀ´«1)3•¤I83ÜÒ¤‚) —ÌhL®˜1F2‚ŒµœœaÆYÁ¤e¦¶Šœb¶²ätÍ,§qU1+(nÅ™•ôG‘.Òð|û-»ÿ±;tãÀþϾÙvc»yn†çîÐ�½¨¸
https://arxiv.org/src/2006.01318
[lñ‹QAcƒ5„ÿ)o›ÙÙ�æKþ/—ÂÝîÌ[ž÷éím±sÛr^!“Œç�®�¾“Ÿø4¨�þ…ŸÐ¿u�ƒëk6ªÔÏ4 j„Ïkë7²j¾›å ~ÞÎYÖF9ÏË÷ôÜú¾ÿýiö�DÞõ2óF+D(6§ì'5¾Ö¢?�U4û…ùø$§�³SÖ$'ßéåæúÅX¬b^sK«üÜê7iR¥5*—hwóðb!ç‡Y£¬ ?”%¼ŒïúyßòZ-Ûò�œëÐïðyÞr’VÊîvr¾•o·óVÂÎXÙœ—p|
https://arxiv.org/pdf/2402.03300
áÀ߯«›ÀÌjDÕå²»«ífðãc;ZæÕÁŽÌ«Ÿ¶®MfGÑÏ}í q•]/¶ìÞÍmÞ¯¶o⣩²íÄ0ZÇë²è^œx]fçkn{ÕÿE+{*ʧyÄpg�6;5’PìŠîìVž¤pH8$hù—mÚ¢*ß„z•R:")ó¨º ÊÖß3‰qŸûX”ysO'Hî)-ò"ëî}³‹³‹ÍÛ[ÛÙ˺s �á3 4†{´¢p¿YôdšrýØëKæ‘+ˆ™ÇÞ a }ÀõàíÑ« W€‡Œ{ Fvm734…4˜‡¢´�A«»èGÞÿc
https://arxiv.org/pdf/2006.00342
R-Rv×üúÍD&À‡({:¦ë‰¡D>¿L âÕý*^½}òâÓ“god"W¹(ŒIVŸîV©Y‘¯2eDš¤«O»ÕÏÑ˶¹+OëþðîýëàÌœz?õà ß “Û¾ñŸytXÓIÑn÷¨À ?f ,#C� µØ�)èl/à§êTŠUYJé¹ó|ýyW•�“Zÿ$ɹø6¨°a˜E2¦v€PC(èë¦xI6=ÀóTÎ1Q"6E¨dôôiΰp]u£|b(j�‘6—`ä~ºr�·Ú°2püÖIz´ö�‹KšÊL¾bAZ
https://arxiv.org/pdf/2006.04122
/Width 614 >> stream xÚì� XŒkÇ�=D!D‘6"ZT–$E%BE¨äˆì²gQ)tˆÐJ{ÚhU(íJ+!‘V) D”óÝõœó~s¦)Ieäþ_÷Õ5óîͼóüÞÿ³ÜÏ£P( …j…þÀ� …B¡P(D& …B¡P€ÌiÓ¦�A¡P( E# È„ø�B¡P(háˆÈD¡P( ‘‰B¡P("…B¡P(D& …ú%õõë×úúúºÿ%X‹ ‘‰B¡~;ß¿ÿðäéó�[‘Öö^§
https://arxiv.org/pdf/2608.03118
Ó>~ý|)•Š:›{÷iªJ¥3�/S©¬–,a)Ò0Ť‘L3•¦Ì0m5³ÌjÁˤd‰0¸áMBà_áEâý[Åý;Ǻè /b [&²õŽÉDcPƤÐôÂ¤Ì ^˜L*%“:¥Pcñª&—šÉ “‚Î4I0βT€8éXŠ4²4µ¸�åÐI°Të�,5‚Yj1OªðÌ4YêÜÐ5£Ì—)ªdJ82~þêÓ_ù(Lº»8ß¼®òÅt¸øÎãèÇ�ý껳Ù|µÄ� µ`ø å³P™úJÖ4�
https://arxiv.org/pdf/2608.02615
»mNÌÊJ¡3©m�™DœßbºüwFŠ=î»ÊMlƒ;±�x,§‹qÒòq¥±“Ç,Þ£»‹^ð}¿Zÿ¦Xy§¾:™�wWW«õÕå|Ñ
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
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
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
https://arxiv.org/list/cs.IR/recent
IR)
Tue, 4 Aug 2026 (showing first 34 of 45 entries )
[17] arXiv:2608
https://arxiv.org/list/cs.IR/new
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https://arxiv.org/html/2407.16741v3
2 OpenHands Architecture
2.1 Agent Definition and Implementation
2.2 Agent Runtime: How Execution of Actions Results in Observations
2.3 Agent Skills: The Extensible Agent-Computer Interface
2.4 Agent Delegation: Cooperative Multi-agent
https://arxiv.org/list/cs.SY/new
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New submissions (showing 8 of 8 entries)
[1] arXiv:2608
https://arxiv.org/list/cs.SY/current
251-284
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[1] arXiv:2608
https://arxiv.org/html/2407.00762v1
Attackers
I Introduction
II Problem Formulation
II-A Notation
II-B Problem Statement
III Preliminary: Single-Attacker Game
IV Main Results
IV-A Optimization Formulation of a Geometric Solution
IV-B Proof of Equilibrium
V Numerical
https://arxiv.org/html/2407.00575v3
1 Introduction
1.1 Related Work
1.2 Outline and Notation
2 Problem Formulation
2.1 Applications
2.1.1 Quadratic Global Objective
2.1.2 Weighted Resource Allocation Games
3 Game Control Algorithm
3.1 Performance Guarantees
4 Convergence
https://arxiv.org/html/2407.06328v2
I Introduction
II Preliminaries and Problem Description
II-A Task Allocation Game Model
II-B Learning Rule, Stochastic Alarm Clock, and Evolutionary Dynamics Model
II-C Payoff Vector Estimation
III Convergence Analysis and Revision Rate
https://arxiv.org/list/cs.CY/current
251-256
Showing up to 50 entries per page: fewer | more | all
[1] arXiv:2608
https://arxiv.org/html/2407.05763v1
1 Introduction
2 Preliminaries
2.1 Graph Theory
2.2 Generalized Homogeneity
3 Problem Statement
4 Basic Idea of the Observer Design
5 Homogeneous Observer Design
5.1 Globally Homogeneous Distributed Observer
5.2 Locally Homogeneous
https://arxiv.org/src/2006.15704
•,Iß߯ýðÉLÍÎ¥lg�Ì÷é´IÉ·Ñ\ãâ]�È»Bô�0ç}âûü¡GTG>÷uC¡ü/SR0ƒfBE¾ÚcóKìß o×’eÅ P;ÜîîCyqÄßd ëu¼Â`´ÆèæŒOÃô¹6±^Çr¼;ðz“–áÊz%÷`ÈšuÛýàÂöv]¤ñ|[C£À®¥ôæÝ"¦›20MWÌó4÷6gÔǸûSøÉg
https://arxiv.org/pdf/2608.03421
Ƭ‚~ k „³ o¡ŸLäP=çH"wBÿíŸÿd|vûéob7cøt3`˜ý׿à«CŠ�fóÛkvÉøÛÁrYÌ'ŒïŸG7ÅéÁsvU6{>XûÓÉ*_î\œÿr^\|›çÅü¾X\ìš-§sDˆ½Ä6¦?{¸^~›ŒŸC /�OßOFÐmÁ QjNÕšßGÃåݹ‡U-`ßì�€=-nÆ0ÞwÂt¯Ã+aú¬ƒ×öÛuÃ{úîÝÛ7'ux;À9n€¶E^Û$/h�uàº^pmÞ îÑáÉï
https://arxiv.org/src/2006.02085
rúž�Ù¥•¸Ó]+Z¸W�—ǧ'¡-tfž•ˆÀ�||þâå Þ»ízŽmE{¸�:oŸ=W–ãÄélæ.Ø öîÝ×äþ— o;’›0°?–SÆ‘ñbŠ EP˜ðÚ yoäjz0H´'ÞæÒOŒJœû²�û»ˆDÈv]¶+Øià@È „óÝú©—¸¡·ü¢ÓùWO¦Ã�eûV”ìÙ^üû�±1þ†ÃýAÿ‡Šÿ£ÑÁÿÇÿÆgg§³³ÃNçnÌàîØÏ…O|ÕÃÞˆæ¥Ã®ÝdÎ’¹`Ž´ã$rC–
https://arxiv.org/pdf/2608.03340
öjÔZ0¼¼høÍáÌw;3�ÍB ã”p-²ÅÁ�ûÆY¡SÀÑ cyß“Ø:kØœÁ�Z‹>œå»aÒµóÆþá‹/ÄÕ7â_”Ó|%®þþ�rl%Áì&IMØì×kñƒøòËcsì±yT2Aë�²êô‘uR2C¹>Ðú Å[-ƒÿU(èò̓¶2Ã$
https://arxiv.org/pdf/2211.01910
œ¸¿þ~ƒ� -ßE7&8 Ìû›‘ýÍÃÆß|wóöîæÕ·ÊW›ÌËboîî7ÊO7I{q 6w§ÍïÛ�ã¡*ûsqÚíuäoó^žü8¶Í}Ñͱà÷K~):Y1ðóý×~á‘öu°ûóîû›ww7Ý(\Áß(9Q{ioŽõÍïú›&¾ßø^�¥›ÏfY½ ²ÏjóëÍÏ7¾Üß>§”öâ,ÜDIæ%*¥íþºñb�E±Yá Í”ýN¯Þ×jóM‹~~¶õÞî½w6Ÿä—B~qhä§}OûÙ&Š2Oc¹‘á~äçø£XoÆ¡ó¡Ø