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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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https://arxiv.org/html/2608.02613v1
6 Ingest Overhead: When Does Structured Memory Pay Off
https://arxiv.org/html/2608.03048v1
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https://arxiv.org/list/cs.AI/new
Research artifact available under the Apache-2
https://arxiv.org/html/2407.13076v1
I INTRODUCTION
Owing to their long communication range and low power consumption, low-power wide area networks (LPWANs) [1] are extensively utilized in the development of autonomous wireless networks for various Internet of Things (IoT) applications, such as smart agriculture [2] and smart cities [3]
https://arxiv.org/html/2407.02342v1
org) Wen Chen is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China(e-mail: wenchen@sjtu
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/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/src/2006.01354
TdIjǖI,D ? =x`],Ă3֯v;!픻֭.t-W8I{參&-{s/}+Yp"X&v*i ; b"^ |aǶ >!ZQ}N?}=c߳? b? {.؏ '3'ѱ^[ͦa.ll X{,c7-ي}
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/abs/2006.03994
Ethereum and Fog Computing, by Shirin Tahmasebi and 1 other authors
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Abstract:With the recent considerable developments in the Internet of Things (IoT), billions of resource-constrained devices are interconnected through the internet
https://arxiv.org/abs/2006.04122
04122] Distributed Machine Learning for Predictive Analytics in Mobile Edge Computing Based IoT Environments
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