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30 result(s) for “okapi bm25 site www elespo cy site who unesco org site read it site:arxiv.org” of 235 matched · 545 ms
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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
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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/abs/2510.01395
Yet, beyond isolated media reports of severe consequences, like reinforcing delusions, little is known about the extent of sycophancy or how it affects people who use AI
https://arxiv.org/pdf/2608.01651v1
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https://arxiv.org/list/cs.IR/new
To handle it, KGD assigns them to separate parameter sets: a refreshable encoder owns behavioral knowledge, while a task learner reads contextualized encoder states through read-only cross-attention and writes task-specific geometry through Anchored Calibration Residual (ACR) orthogonal to the pretrained embedding
https://arxiv.org/abs/1411.2842
2842] Logical Limitations to Machine Ethics with Consequences to Lethal Autonomous Weapons
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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/html/2508.08980v3
org perpetual non-exclusive license
arXiv:2508
https://arxiv.org/pdf/2608.01564
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https://arxiv.org/src/2403.08299
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https://arxiv.org/pdf/2508.02758
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https://arxiv.org/pdf/2609.18842
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https://arxiv.org/pdf/2508.08980v3
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https://arxiv.org/pdf/2508.02685
5 % 1 0 obj > endobj 2 0 obj > endobj 3 0 obj > stream Benchmarking Classical and Quantum Models for DeFi Yield Prediction on Curve FinanceChi-Sheng ChenAidan Hung-Wen Tsaihttp://arxiv
https://arxiv.org/src/2608.03898
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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/2608.00458
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https://arxiv.org/pdf/2608.02386
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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/2608.01891
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