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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

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https://arxiv.org/html/2608.02613v1

2 pp, exceeding MemSearch reader scaling (+10

Approximating Choice Data by Discrete Choice Models

https://arxiv.org/html/2205.01882v5

2 Details of the DVD Dataset M Additional Empirical Application: Fishing-site Choice M

1 Introduction

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

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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

Sphere Retraction Normalizations

https://arxiv.org/html/2608.02668v1

Sphere pp-Angular Retraction Normalization

Automatic Patient-Specific Microwave Ablation Planning Accelerated by a

https://arxiv.org/html/2608.03086v1

org perpetual non-exclusive license arXiv:2608

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https://arxiv.org/html/2609.02852v1

Report GitHub Issue Description: arXiv is now an independent nonprofit

Efficient Multilingual Neural Machine Translation via Corpus-Driven

https://arxiv.org/html/2608.03480v1

org perpetual non-exclusive license arXiv:2608

Can Large Language Models Execute Parent Orders?

https://arxiv.org/html/2607.28410v1

org perpetual non-exclusive license arXiv:2607

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https://arxiv.org/html/2608.03063v1

8 pp in a production fraud detector serving billion-scale transaction traffic

I INTRODUCTION

https://arxiv.org/html/2407.10811v1

II RELATED WORK II-A Traditional methods II-B RL methods. III PRELIMINARIES IV METHOD IV-A RL Setup IV-B Network design IV-C Training IV-D Theoretical Analysis V EXPERIMENT V-A Towards Real-world Dataset and Simulation V-B Benchmark

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https://arxiv.org/html/2608.03154v1

org perpetual non-exclusive license arXiv:2608

Producing Policy Recommendations: from Statistical Decision Theory to

https://arxiv.org/html/2607.29281v2

The National Bureau of Economic Research identifies as its main objective ‘conducting and disseminating independent, cutting-edge, non-partisan research that advances economic knowledge and informs policy makers and the business community’

Asking Questions the Right Way: A Multi-Agent Conversational System for

https://arxiv.org/html/2608.01366v2

org perpetual non-exclusive license arXiv:2608

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

https://arxiv.org/html/2412.12213v2

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Optimizing Age of Information in Vehicular Edge Computing with Federated

https://arxiv.org/html/2407.02342v1

org) Wen Chen is with the Department of Electronic Engineering, Shanghai Jiao Tong University, Shanghai 200240, China(e-mail: wenchen@sjtu

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https://arxiv.org/pdf/2608.03883

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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

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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

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https://arxiv.org/pdf/2608.03157

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https://arxiv.org/html/2609.03027v1

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https://arxiv.org/pdf/2102.13654

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https://arxiv.org/pdf/2205.01882v5

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

https://arxiv.org/html/2607.27063v1

-Based Network Model with Information Diffusion Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more ×

Inverse Learning of Latent Risk-Neutral Densities from Irregular Option

https://arxiv.org/html/2607.27188v1

org perpetual non-exclusive license arXiv:2607

Train Often, Deploy Selectively: Forward-Gated Model Replacement in

https://arxiv.org/html/2607.28577v1

org perpetual non-exclusive license arXiv:2607

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

https://arxiv.org/html/2608.02966v1

-Choice Benchmarks Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML?

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https://arxiv.org/html/2608.03358v1

org perpetual non-exclusive license arXiv:2608

Probing Character-level Transformers for the Spanish L-shaped Morphome

https://arxiv.org/html/2608.03452v1

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Coordinated Primary Frequency Regulation and Grid-Forming Control for

https://arxiv.org/html/2608.02813v1

Wind Turbine Generators Report GitHub Issue × Title: Content selection saved. Describe the issue below: Description: Submit without GitHub Submit in GitHub arXiv is now an independent nonprofit! Learn more × Back to arXiv Why HTML?