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30 result(s) for “okapi bm25 site terms com pp site learn ca site teslaside com site time log gov site:arxiv.org” of 153 matched · 604 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
5 Composition: reader-bound LLM time + reader-free search
C
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/2501.13956v1
com
Abstract
We introduce Zep, a novel memory layer service for AI agents that outperforms the current state-of-the-art system, MemGPT, in the Deep Memory Retrieval (DMR) benchmark
https://arxiv.org/html/2608.03048v1
com/JetAstra/PI-Mem
Introduction
The ability to reason over long contexts is increasingly important for large language models (LLMs), supporting applications such as long-document question answering (Gemini Team 2025; Yang et al
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/2607.28577v1
4 Time and asset breadth, objective transfer, and safety
5 Inference and Interpretation
5
https://arxiv.org/html/2608.02668v1
com/hazdzz/deep_connection \ncudata[Correspondence]Jie Zhang (),
Correspondence: Cheng-Fang Su ()
“Geometry is not true, it is advantageous
https://arxiv.org/html/2607.28410v1
com/zaneopen/PACE
1 Introduction
Reducing execution costs is a central objective for financial institutions (Bertsimas and Lo 1998)
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]
https://arxiv.org/html/2607.27188v1
On 524 held-out NIFTY calls, validation-selected test-time adaptation reduces DeepONet RMSE by 28
https://arxiv.org/html/2608.03655v1
The framework supports MMR, ILP, and a DPP-inspired log-determinant objective without retraining the generator
https://arxiv.org/html/2608.03529v1
(2021), and defining codebooks is time consuming and expensive Dai et al
https://arxiv.org/html/2608.03545v1
In this paper, we introduce Hi-TTRL, a test-time reinforcement learning framework that utilizes hints during sampling to regulate rollout consensus strength
https://arxiv.org/html/2608.03011v1
Current TTS systems [20, 21] use dedicated speaker and environment encoders to extract global embeddings for disentangled control but are limited to time-invariant acoustic environments, such as reverberation, and cannot handle time-varying background noise
https://arxiv.org/html/2608.02966v1
-Choice Benchmarks
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https://arxiv.org/html/2608.02918v1
Miranda is also with LCTI, Télécom Paris, IP Paris, France
https://arxiv.org/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic
https://arxiv.org/html/2607.28323v1
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https://arxiv.org/html/2608.03141v1
Despite these efforts, they often rely on fixed compression ratios, learned compression modules, or signal-to-noise ratio (SNR)-specific training, limiting adaptability to time-varying channels [40, 15, 43]
https://arxiv.org/html/2608.01085v1
To mitigate this threat, we propose LAtent Transition Test-time Evaluation (LATTE), a clean-only latent-transition defense that learns benign communication dynamics and quarantines anomalous agent updates before their responses propagate
https://arxiv.org/html/2410.19947v2
affect college major choice?1footnote 11footnote 1We are grateful for the valuable feedback from seminar participants at the National University of Singapore, the University of Notre Dame, the University of Pennsylvania, Mississippi State
https://arxiv.org/html/2607.27099v1
4 Rainfall is rough at large time scales
1
https://arxiv.org/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
M
https://arxiv.org/html/2607.29281v2
Empirical Practice
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https://arxiv.org/html/2607.28847v1
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https://arxiv.org/html/2407.02342v1
com/qiongwu86/Optimizing-AoI-in-VEC-with-Federated-Graph-Neural-Network-Multi-Agent-Reinforcement-Learnin
https://arxiv.org/pdf/2608.02758
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https://arxiv.org/pdf/2608.03157
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https://arxiv.org/html/2608.03703v1
begun on July 20, 2026; the present version is dated August 4, 2026. Claude Opus 5 and Fable 5 provided research assistance throughout, spanning code development, data construction and empirical analysis, and the drafting of the manuscript.
https://arxiv.org/html/2407.13076v1
Owing to the low duty cycle and sporadic traffic of LoRa networks, evaluating the system EE under various parameter settings proves to be time-consuming