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23 result(s) for “okapi bm25 site terms com pp site github com site lemmy world site iot apache org site:arxiv.org” · 1138 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: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)
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
from the top result below
https://arxiv.org/html/2608.02613v1
MemArena fills these gaps with a single-world conversational benchmark built with its MASim agent simulator, for 5050 agents over 1515 days (10
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
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
https://arxiv.org/html/2407.16741v3
com/All-Hands-AI/OpenHands
Slack http://bit
https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin
https://arxiv.org/html/2407.13076v1
Index Terms:
LoRa, multigateway, system energy efficiency, matching-based, multiagent deep reinforcement learning
https://arxiv.org/list/cs.AI/new
Research artifact available under the Apache-2
https://arxiv.org/src/2006.01354
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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
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Information Retrieval
Authors and titles for recent submissions
Wed, 5 Aug 2026
https://arxiv.org/list/cs.DC/2019-11
01941 [pdf, other]
Title: Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges
Sukhpal Singh Gill, Shreshth Tuli, Minxian Xu, Inderpreet Singh, Karan Vijay Singh, Dominic Lindsay, Shikhar Tuli, Daria Smirnova, Manmeet Singh, Udit Jain
https://arxiv.org/list/cs.IR/new
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Information Retrieval
New submissions
Cross-lists
Replacements
See recent
https://arxiv.org/list/cs.DC/2018-11
00652 [pdf, other]
Title: Modeling IoT-aware Business Processes - A State of the Art Report
Nadja Brouns, Samir Tata, Heiko Ludwig, E
https://arxiv.org/list/cs.CL/new
LG)
Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed
https://arxiv.org/list/cs.DC/2021-12
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Distributed, Parallel, and Cluster Computing
Authors and titles for December 2021
Total of 203 entries : 1-50 51-100 101-150 151-200
https://arxiv.org/abs/2006.04122
In this paper, we made an in-depth evaluation and comparison of these two techniques on three distinct IoT datasets representing real-world application scenarios
https://arxiv.org/abs/2006.03994
Monitoring this huge number of IoT devices that are heterogeneous in terms of underlying communication protocols and data format is challenging
https://arxiv.org/list/cs.NI/2020-05
00121 [pdf, other]
Title: Leveraging Context-awareness to Better Support the IoT Cloud-Edge Continuum
Liliana I
https://arxiv.org/list/cs.CR/2023-12
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Cryptography and Security
Authors and titles for December 2023
Total of 511
https://arxiv.org/list/cs.DC/2020-06
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Distributed, Parallel, and Cluster Computing
Authors and titles for June 2020
https://arxiv.org/list/eess.SP/new
This effectively overcomes the stringent bandwidth and power constraints of space platforms while extending federated learning (FL) to pervasive Internet-of-things (IoT) deployments