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30 result(s) for “okapi bm25 site hotchips pp site www uscourts gov site www docomomo go org site time site:arxiv.org” of 142 matched · 469 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
5 Composition: reader-bound LLM time + reader-free search
C
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/html/2608.03048v1
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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/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.IR/new
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Information Retrieval
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https://arxiv.org/html/2407.16741v3
At the same time, thanks to improvements in large language models (LLMs), there has also been a rapid development in AI agents that interact with and affect change in their surrounding environments
https://arxiv.org/list/cs.AI/new
The implemented contract fixes evidence non-overwrite, branch isolation, grounded multi-subject timers, guarded state change, and declaration-ranked event ordering over time and space; an external runner still decides whether evidence becomes an authoritative move
https://arxiv.org/html/2608.02668v1
Sphere pp-Angular Retraction Normalization
https://arxiv.org/pdf/2608.03157
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https://arxiv.org/html/2608.03086v1
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arXiv:2608
https://arxiv.org/src/2005.13905
M}Z]zi=3]/pp I)6H&_NH째G h@ %Yn)$AlW*tE6J4G 0CbXE>LYS
https://arxiv.org/html/2607.28577v1
4 Time and asset breadth, objective transfer, and safety
5 Inference and Interpretation
5
https://arxiv.org/html/2609.03027v1
Box 76, Epping, NSW 1710, Australia
A fast, wide-field, and real-time imaging prototype for large aperture arrays
Nithyanandan Thyagarajan Jishnu N
https://arxiv.org/html/2607.27063v1
Faster information diffusion reduces the time required for prices to approach the signal-implied value, whereas the combination of information diffusion and social reinforcement generates overshooting and subsequent reversal
https://arxiv.org/html/2607.27188v1
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arXiv:2607
https://arxiv.org/html/2608.03545v1
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arXiv:2608
https://arxiv.org/html/2607.28410v1
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arXiv:2607
https://arxiv.org/html/2609.03103v1
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Optimizing Field Geometry for Modular Micropore-Optics Soft X-ray Time-Domain Surveys
Nicholas E
https://arxiv.org/html/2608.03233v1
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arXiv:2608
https://arxiv.org/html/2608.03529v1
(2021), and defining codebooks is time consuming and expensive Dai et al
https://arxiv.org/html/2407.10811v1
Specifically, we design behavior cloning and curriculum learning to guide the agent to mimic and meet industry requirements and, at the same time, leverage the power of exploration and exploitation in RL for better performance
https://arxiv.org/html/2608.03011v1
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https://arxiv.org/html/2608.02918v1
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arXiv:2608
https://arxiv.org/html/2608.03154v1
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arXiv:2608
https://arxiv.org/html/2607.27099v1
4 Rainfall is rough at large time scales
1
https://arxiv.org/html/2608.00648v1
In practical scenarios, constraints such as time windows make task feasibility highly dependent on each task’s position in the planned sequence, thereby requiring more carefully coordinated task-planning strategies [17]