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30 result(s) for “okapi bm25 site www eyespy cy site en wikipedia org site read it site:arxiv.org” of 235 matched · 599 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: newest result fetched 25 d ago · median age of these results 25 d · 1 of 30 carry a fetch time
For each evaluation sample, we construct an Okapi BM25 index over its decoded text chunks; the index is therefore sample-specific rather than a shared external knowledge base
from the top result below
https://arxiv.org/html/2608.03048v1
6 million tokens and find that it outperforms the recurrent-memory baseline by +6
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/html/2608.02613v1
With the interaction history, it co-generates ground truth over six recall, reasoning, and trustworthiness evaluation dimensions
https://arxiv.org/list/cs.AI/new
Extending the pattern-generation paradigm of Neural Cellular Automata (NCA), it navigates the degenerate Boolean search space to satisfy a computational task, rather than regenerating a fixed target state
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/pdf/2607.26327v3
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https://arxiv.org/pdf/2407.00345
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https://arxiv.org/pdf/2608.02609
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https://arxiv.org/pdf/2608.02943
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https://arxiv.org/pdf/2608.02244
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2607.27063v1
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https://arxiv.org/pdf/2607.26245v1
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https://arxiv.org/pdf/2608.01657
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https://arxiv.org/pdf/2604.05327v4
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https://arxiv.org/pdf/2608.03340
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https://arxiv.org/pdf/2608.02694
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https://arxiv.org/pdf/2608.02764
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https://arxiv.org/pdf/2607.28577v1
) /Title (Train Often, Deploy Selectively: Forward-Gated Model Replacement in Crypto Markets) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/pdf/2607.27188v1
) /Title (Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.00785
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https://arxiv.org/pdf/2608.03063
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https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2607.26188v1
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https://arxiv.org/pdf/2608.02122
) /Title (DEFT: Joint Task Placement and DVFS for Energy-Efficient Multi-GPU Runtimes) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2608.03411
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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/pdf/2303.12712v5
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