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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/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/html/2205.01882v5
2 Details of the DVD Dataset
M Additional Empirical Application: Fishing-site Choice
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https://arxiv.org/pdf/2608.03883
If defined, must be one of book, catalog, feed, journal, magazine, manual, newsletter, pamphlet
https://arxiv.org/pdf/2005.14165
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https://arxiv.org/src/2006.01048
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https://arxiv.org/src/2303.12712
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https://arxiv.org/pdf/2407.00125
) /Title (A Survey on Failure Analysis and Fault Injection in AI Systems) /Trapped /False /arXivID (https://arxiv
https://arxiv.org/pdf/2508.11152
com three Proceedings of ACM Conference (Conference'17) book 1 1 9 9 Tianjiao ZhaoJingrao LyuStokes JonesHarrison GarberStefano PasqualiDhagash Mehtahttp://arxiv
https://arxiv.org/list/cs.CL/new
Recent studies have therefore examined how to automatically derive optimization problems from natural-language descriptions, but existing benchmarks focus on settings where objectives and constraints can be written explicitly as mathematical expressions
https://arxiv.org/html/2608.02668v1
Both prove to be members of a one-parameter family of angular retractions, pp-SpheretNorm, whose rotation angle saturates rather than growing without bound
https://arxiv.org/html/2604.05327v4
Under mild conditions, the finite-sample likelihoods—which may themselves be misspecified—can be replaced by a limit experiment involving the Gaussian family as the reference likelihood
https://arxiv.org/html/2609.02852v1
For example, if a model should be isolated from the public internet, there is never a reason that model-influenced bytes should appear in an outbound network packet
https://arxiv.org/html/2609.03027v1
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https://arxiv.org/html/2608.02918v1
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https://arxiv.org/html/2607.28577v1
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https://arxiv.org/html/2608.03086v1
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https://arxiv.org/html/2608.00458v1
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https://arxiv.org/html/2608.03529v1
Synthetic experiments show that soft reliability can be quantified using a variety of semantic equivalence measures, and that the choice of measure affects failure modes of the estimation
https://arxiv.org/html/2608.02909v1
In practice, most researchers use the generated variables “as is” on the right-hand side of the regression, as if they captured the true, latent variable of interest
https://arxiv.org/html/2607.29281v2
The problem of making such choices becomes ever more challenging if they need to be made ex-ante, meaning when only minimal or no information about (i) the probability laws of the population of interest and (ii) the causal law of a given intervention is available
https://arxiv.org/html/2608.03099v1
Interpretable or revised linguistic intermediates may be incorrect, go unused, or fail to affect later behavior
https://arxiv.org/html/2407.00762v1
In contrast to previous studies, the attackers herein are assumed to be heterogeneous in the sense that they have not only different speeds but also different weights representing their respective degrees of importance (e
https://arxiv.org/html/2607.28410v1
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https://arxiv.org/html/2407.00575v3
The global performance at NE can be improved by imposing linear constraints on the NE, also known as a generalized Nash equilibrium (GNE)
https://arxiv.org/html/2609.03159v1
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https://arxiv.org/html/2407.10811v1
For real-world solutions, only flow can be reliably collected, whereas common RL methods need more
https://arxiv.org/html/2608.03063v1
The hardest cases cannot be settled from either modality alone; they require reading a merchant’s textual profile jointly with its long behavioral sequence
https://arxiv.org/html/2608.03154v1
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