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30 result(s) for “okapi bm25 site hotchips pp site accelerated gov re site cs niehs nih gov site:arxiv.org” of 31 matched · 513 ms
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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
from the top result below
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/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/list/cs.PF/current
DB); Distributed, Parallel, and Cluster Computing (cs
https://arxiv.org/list/cs.CL/new
Accepted to C3NLP @ ACL 2026
Subjects: Computation and Language (cs
https://arxiv.org/html/2608.00458v1
org perpetual non-exclusive license
arXiv:2608
https://arxiv.org/html/2608.01366v2
8 Per-Participant Phase-Averaged Cognitive Load
License: arXiv
https://arxiv.org/list/cs.AI/new
Menon, Zifan Liu, Ting Cai, Fei Wu, Anudeep Chimakurthi, Prashanthi Ramamurthy, Sridevi Aishwariya Ganesan, Kun Qian, Yunyao Li
Subjects: Artificial Intelligence (cs
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/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/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
Includes appendix with proofs and additional experiments
Subjects: Information Retrieval (cs
https://arxiv.org/list/cs.IR/new
Papalexakis, Liangjie Hong
Subjects: Information Retrieval (cs
https://arxiv.org/list/eess/recent
IV); Computer Vision and Pattern Recognition (cs
https://arxiv.org/list/cs.DC/recent
Constantinides
Subjects: Distributed, Parallel, and Cluster Computing (cs
https://arxiv.org/list/eess.IV/current
IV); Computer Vision and Pattern Recognition (cs
https://arxiv.org/list/cs.MM/new
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https://arxiv.org/list/cs.DC/new
Several components are the subject of pending United States patent applications by the first author and are presented here as candidate open architectural principles
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https://arxiv.org/html/2608.03086v1
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arXiv:2608
https://arxiv.org/list/eess.SP/new
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Electrical Engineering and Systems Science
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https://arxiv.org/list/cond-mat/new
The mixed anomaly between these is accommodated by the not-on-site action of the symmetries
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/html/2608.02942v1
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https://arxiv.org/list/hep-ph/new
In this work, we re-evaluate these neutrino fluxes using the latest design of a \SI{10}{TeV} muon collider and find that fluxes around the interaction region are almost two orders of magnitude higher than earlier estimates