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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

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https://arxiv.org/html/2608.02613v1
2 pp, exceeding MemSearch reader scaling (+10

1 Introduction

https://arxiv.org/html/2501.13956v1
Consequently, additional context is required to provide out-of-domain (OOD) knowledge and reduce hallucinations

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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

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https://arxiv.org/html/2609.03027v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

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https://arxiv.org/html/2609.02852v1
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https://arxiv.org/html/2609.03103v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1
On nanoGPT, all three methods outperform existing lightweight deep connection schemes, and the best validation loss is attained at finite pp, indicating that the exponential map is not the preferred retraction for spherical residual streams but merely one end of a spectrum

Global coal trade is resilient to maritime chokepoints

https://arxiv.org/html/2608.00328v2
GN] 04 Aug 2026 Global coal trade is resilient to maritime chokepoints Jorrit Gosens Centre for Climate and Energy Policy, Crawford School of Public Policy, Australian National University, Acton, 2600 Australian Capital Territory, Australia Corresponding author; jorrit

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https://arxiv.org/html/2609.03159v1
Description: arXiv is now an independent nonprofit

Rainfall is rough

https://arxiv.org/html/2607.27099v1
4 Rainfall is rough at large time scales 1

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https://arxiv.org/pdf/2608.03157
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Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1
2 Membership is decodable beyond the surface forms 4

Herding, Momentum, and Reversal in China’s A-Share Market: An Agent

https://arxiv.org/html/2607.27063v1
The local interaction structure is represented by von Neumann and Moore lattices and is later replaced by Erdős–Rényi and Watts–Strogatz networks for robustness

Efficient Audio Enhancement with a Differentiable Psychoacoustic Loss

https://arxiv.org/html/2608.02918v1
Biscainho are with SMT, DEL/Poli & PEE/COPPE, Federal University of Rio de Janeiro, Brazil (corresponding e-mail: wallace

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a

https://arxiv.org/html/2608.03086v1
The code is available at: https://github

Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1
3 Matched representations: density output is not sufficient 5

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https://arxiv.org/src/2006.15704
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Train Often, Deploy Selectively: Forward-Gated Model Replacement in

https://arxiv.org/html/2607.28577v1
3 Forward evidence is useful without perfect ranking 4

On the Diversity of Analogy Making in Large Language Models

https://arxiv.org/html/2608.03233v1
To our knowledge, this is among the first studies to systematically investigate output diversity in LLM-based analogy making

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https://arxiv.org/html/2608.03358v1
Thus, enabling MLLMs to understand such perceptions is essential for building more empathetic and user-aligned assistants

Every Wrong Answer Counts: Option-Level Psychometrics for LLM Multiple

https://arxiv.org/html/2608.02966v1
(a) In this item, "Saturn" is a plausible distractor that reflects partial knowledge of LLM examinees, whereas "the Sun" is the correct answer

Efficient Multilingual Neural Machine Translation via Corpus-Driven

https://arxiv.org/html/2608.03480v1
Unlike other compression methods which often require architectural modification or extensive retraining, we introduce a minimalist architecture-agnostic framework for MNMT that is founded on vocabulary pruning

Coordinated Primary Frequency Regulation and Grid-Forming Control for

https://arxiv.org/html/2608.02813v1
Yufei Xi and Lin Cheng are with the State Key Laboratory of Power System Operation and Control (Department of Electrical Engineering, Tsinghua University), Beijing 100084, China Florian Döfler is with the Automatic Control Laboratory, ETH Zürich, 8092 Zürich, Switzerland Abstract Conventional grid-forming (GFM)

Activation-Guided Neuron Intervention to Induce Alzheimer’s-Related

https://arxiv.org/html/2608.03067v1
7Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain

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https://arxiv.org/html/2608.03063v1
8 pp in a production fraud detector serving billion-scale transaction traffic

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https://arxiv.org/html/2608.00458v1
Consequently, BANDMAS is able to adaptively schedule communication packets while adhering to bandwidth, latency, deadline, and receiver context constraints

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1
Abstract Parent-order execution is a core problem in algorithmic trading, where the goal is to split a large order into smaller orders while reducing execution costs

Consensus Measures for Unstructured Biomedical Text Annotations

https://arxiv.org/html/2608.03529v1
ch Abstract Biomedical literature is increasingly mined for knowledge beyond the questions it was written to answer

Mapping the City Through the Lens of Language Models

https://arxiv.org/html/2608.02971v1
In geographic settings, this behavior is consequential because the category city spans substantial variation in scale, form, infrastructure, ecology, function, and development

Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis

https://arxiv.org/html/2608.03011v1
AS] 04 Aug 2026 Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio Infilling Ye-Xin Lu, Xin Wang,  Yang Ai,  Hui-Peng Du,  Zhen-Hua Ling,  and Junichi Yamagishi This work is the extended version of our conference paper [1] published at IEEE International Conference on