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Did you mean okapi bm25 site hotchips pp site does apache org site por apache org site ant apache site:arxiv.org?

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The query asks the model to recall the topic of an earlier conversation about Tesla; the gold answer is anchored in one specific session about Pooja’s dig site
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Report GitHub Issue

https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off

Report GitHub Issue

https://arxiv.org/html/2608.03048v1
× Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML? Report Issue Back to Abstract Download PDF

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https://arxiv.org/src/2005.14165
‡”´¶³Šƒ 0©™é®ª®®úêG³‹eåZêøëOþN×!®Nä\»ÿË磻ïÝ=9¼÷ÉáÑñÑÑñ'æäïEÐðêbkc>iBhî¹·Ýÿ'½ŠÁúÏ»XØfܺ×7:øþý{×­ÿý“w±þ÷ïŸâã1ÖÿÞÝÓOÌá�RqÍõ/¾þ§7óõ›©Ÿu�»¸uZ¸ºu�¯g§uðu‰o§ÓIxýæÓ[§KÛðÓáø³“ÓÊ×nåËv~�;oNÏãÒ·N܃L!«:´.úŸœ9mÛ7§E¨Bó ¶¾xBc~[Ï*

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.

1 Introduction

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

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
Research artifact available under the Apache-2

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
Transmission Parameter Allocation in Multi-Gateway LoRa Networks I INTRODUCTION II RELATED WORK III SYSTEM MODEL III-A The Traffic Pattern of LoRa Networks III-B Capture Effect and Quasi-Orthogonality between SFs III-C Packet Delivery

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https://arxiv.org/src/2407.17789
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https://arxiv.org/pdf/2608.02851v1
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https://arxiv.org/pdf/2508.07408
-Aware Sentiment Factors from LLM-Augmented Financial Tweets: A Transparent Framework for Interpretable Quant TradingYueyi WangQiyao Weihttp://creativecommons.org/licenses/by/4.0/q-fin.STcs.CLcs.LG endstream endobj 4 0 obj > endobj 5 0 obj

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https://arxiv.org/pdf/2508.16279
AgentScope 1.0: A Developer-Centric Framework for Building Agentic ApplicationsDawei GaoZitao LiYuexiang XieWeirui KuangLiuyi YaoBingchen QianZhijian MaYue CuiHaohao LuoShen LiLu YiYi YuShiqi HeZhiling LuoWenmeng ZhouZhicheng ZhangXuguang

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https://arxiv.org/src/2006.03271
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https://arxiv.org/pdf/2608.00426
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https://arxiv.org/pdf/2303.12712v5
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https://arxiv.org/src/2608.03882
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https://arxiv.org/src/2608.04003
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https://arxiv.org/src/2006.02055
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https://arxiv.org/src/2006.03318
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https://arxiv.org/pdf/2005.13905
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https://arxiv.org/src/2402.03300
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https://arxiv.org/pdf/2101.00190
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Information Retrieval

https://arxiv.org/list/cs.IR/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 Information Retrieval New submissions Cross-lists Replacements See recent

[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

[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

1 Introduction

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

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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2508.02686
ñóSøíÃï9 EÇ˃zdíløû=|o§åÁ«‰Ö%ú�ô5Š®ôtz%á' Âu‹‰à;žl޼‹,”`¼}êX#iÖêbP‘†‡à›Œ§g{ÈÄþbëQB P¹$¢£J…•²é^“c7ˆIÛRö;¬`JDä’Fk^KMË%“ µ3àÓ¸rš[êPp*Ù'«ëvx¨²Ø¶Cíš:v(p™eˆ“Â_â‰R˧� ²–Dýñ9Ç7ƒäLFs‡æ\ë;Eœó*1ºxÞè