okapi bm25 site www eyespy cz site www beta cz site:arxiv.org

30 result(s) for “okapi bm25 site www eyespy cz site www beta cz site:arxiv.org” of 71 matched · page 2 · 448 ms

Scope: Nishi’s own index (our crawl + Common Crawl) — not the whole live web. Some sites block all automated crawlers (anti-bot walls), so their pages may be absent here even though we never filter lawful content.

Freshness: no result on this page carries a fetch time yet (indexed before the fetch epoch was stored beside the doc)

Mask-Compliant Clipping-Aware Precoding for Multi-User MIMO-OFDM Systems

https://arxiv.org/html/2608.03014v1

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

Mitigating Distribution Shift in Stock Price Data via Return-Volatility

https://arxiv.org/html/2508.20108v2

Normalization for Accurate Prediction 1 Introduction 2 Related Works 2.1 Geometric Brownian Motion 2.2 Deep Learning-Based Stock Price Prediction 2.3 Methods for Addressing Distribution Shift 3 Proposed Method 3.1 Overview 3.2 Return

Report GitHub Issue

https://arxiv.org/html/2609.03371v1

Report GitHub Issue Description: arXiv is now an independent nonprofit

Identification of phase correlations in Financial Stock Market

https://arxiv.org/html/2508.20105v2

Turbulence A Introduction A.1 Stock Market and Turbulence A.2 Market dynamics and Computational Approach B Research Gap C Research objective D Proposition E Research Methods E.1 Tools and Techniques E.2 Extended Fourier Transform E.3

Report GitHub Issue

https://arxiv.org/html/2608.02620v1

× 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? Report Issue Back to Abstract Download PDF

Aligning Large Vision–Language Models at Test Time: A Trajectory

https://arxiv.org/html/2608.03204v1

org perpetual non-exclusive license arXiv:2608

A Heterogeneous Spatiotemporal GARCH Model: A Predictive Framework for

https://arxiv.org/html/2508.20101v1

Volatility in Financial Networks 1 Introduction 2 Heterogeneous Spatiotemporal GARCH model 2.1 Model Assumptions 2.2 Prediction at Unobserved Locations 2.3 Estimation of Parameter Surface 2.4 Properties of the Estimator 3 Monte Carlo

Optimal testing in a class of nonregular models

https://arxiv.org/html/2403.16413v3

org perpetual non-exclusive license arXiv:2403

1. Introduction

https://arxiv.org/html/2608.02909v1

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? Report Issue Back to

1 Introduction

https://arxiv.org/html/2402.03300v3

2 ArXiv Papers Seem Ineffective in Improving Mathematical Reasoning 5

Navigation services amplify concentration of traffic and emissions in

https://arxiv.org/html/2407.20004v1

our cities Road Networks. Traffic simulator. Navigation services APIs. Modified fastest route. GPS Data. Data and Code availability. Acknowledgements. Author contributions Corresponding authors A Supplementary Figures B Supplementary

Optimal Execution with Passive Market Impact

https://arxiv.org/html/2607.28323v1

High Energy Physics - Phenomenology

https://arxiv.org/list/hep-ph/new

Skip to main content System maintenance August 4th and 5th Learn more × Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search High Energy Physics - Phenomenology New submissions Cross-lists Replacements See

Report GitHub Issue

https://arxiv.org/html/2608.03077v1

org perpetual non-exclusive license arXiv:2608

Learning to Control Unknown Strongly Monotone Games

https://arxiv.org/html/2407.00575v3

1 Introduction 1.1 Related Work 1.2 Outline and Notation 2 Problem Formulation 2.1 Applications 2.1.1 Quadratic Global Objective 2.1.2 Weighted Resource Allocation Games 3 Game Control Algorithm 3.1 Performance Guarantees 4 Convergence

The Last Costly Signal: How Generative AI Collapses Competence Signaling

https://arxiv.org/html/2607.26327v3

and Why Liability Sustains Markets for Expert Services 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

1 Introduction

https://arxiv.org/html/2506.01844v1

2 Related work Vision-language models (VLMs). Vision-language-action models (VLAs). 3 SmolVLA: small, efficient and capable Overview. 3.1 Model architecture Vision-language model (VLM). State, action, and feature projectors. Visual

When Collaboration Becomes a Trigger:Collective Evidence-Threshold

https://arxiv.org/html/2608.01085v1

org perpetual non-exclusive license arXiv:2608

Sphere Retraction Normalizations

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

Testing the effects of an unobservable factor: Do marriage prospects

https://arxiv.org/html/2410.19947v2

org perpetual non-exclusive license arXiv:2410

Does the Gender Wage Gap Originate at Labor Market Entry? Evidence from

https://arxiv.org/html/2608.03153v1

South Korea 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? Report

Learning Equilibrium with Estimated Payoffs in Population Games

https://arxiv.org/html/2407.06328v2

I Introduction II Preliminaries and Problem Description II-A Task Allocation Game Model II-B Learning Rule, Stochastic Alarm Clock, and Evolutionary Dynamics Model II-C Payoff Vector Estimation III Convergence Analysis and Revision Rate

Untitled Document

https://arxiv.org/html/2607.28294v1

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

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

org perpetual non-exclusive license arXiv:2608

1 Introduction

https://arxiv.org/html/2608.02854v1

Producing Policy Recommendations: from Statistical Decision Theory to

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

Empirical Practice 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?

Distributed Instruments for Planetary Surface Science: Scientific

https://arxiv.org/html/2407.01757v1

Opportunities and Technology Feasibility 1 Introduction 1.1 What is a distributed instrument? 1.1.1 Distributed Instruments and Sensor Networks 1.1.2 Distributed Instruments and Swarms 1.2 Contribution and Organization 2 State of the Art

Reviving Micro Real Rigidities: The Importance of Demand ShocksThe views

https://arxiv.org/html/2608.02817v1

expressed here are those of the authors and not necessarily those of the Federal Reserve Bank of Atlanta or the Federal Reserve System. The authors are grateful for the invaluable feedback they received on an earlier draft from Jón

Finite-Time Analysis of Asynchronous Multi-Agent TD Learning

https://arxiv.org/html/2407.20441v1

I Introduction II System Model and Problem Formulation III Main result IV Proof of the main result V Simulations VI Conclusion and Future Work Finite-Time Analysis of Asynchronous Multi-Agent TD Learning Nicolò Dal Fabbro, Arman Adibi