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Information Retrieval

https://arxiv.org/list/cs.IR/new
We provide the core implementation of KGD at this https URL

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https://arxiv.org/html/2608.03372v1
1 A labelled corpus of real writes Protocol

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems

https://arxiv.org/html/2407.03956v3
edu Abstract Prior research has enhanced the ability of Large Language Models (LLMs) to solve logic puzzles using techniques such as chain-of-thought prompting or introducing a symbolic representation

1 Introduction

https://arxiv.org/html/2608.03486v1
3 Specification of the natural parameters 3 Identification via independent innovation analysis 3

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https://arxiv.org/html/2607.26245v1
The attempt did not produce a tradable edge: out-of-sample, a walk-forward logistic model over 43 microstructure features does not beat, and slightly underperforms, the probability already implied by Polymarket’s own order book, and simulated trading nets −0

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https://arxiv.org/html/2608.03077v1
Protection and Intelligent Processing of Intangible Cultural Heritage of Fujian and Taiwan (Xiamen University), Ministry of Culture and Tourism {yeyongshi,biaofu}@stu

1 Introduction

https://arxiv.org/html/2506.01844v1
Effect of pretraining and multitask learning