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30 result(s) for “if cram site love the given com site:arxiv.org” of 67 matched · 858 ms

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In particular, the attention mechanism enables each ED to determine how much “attention� should be given to the parameter allocations of pertinent EDs with the goal of enhancing the system EE
from the top result below

Matching-Driven Deep Reinforcement Learning for Energy-Efficient

https://arxiv.org/html/2407.13076v1
Gateway LoRa Networks Ziqi Lin, Xu Zhang, Shimin Gong,  Lanhua Li, Zhou Su,  and Bo Gu This work was supported in part by the National Science Foundation of China (NSFC) under Grant U20A20175 and in part by the National Key R&D Program of China under Grant 2020YFB1713800

Stochastic Choice with Advertising

https://arxiv.org/html/2608.03504v1
org perpetual non-exclusive license arXiv:2608

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

Very Large-Scale Multi-Agent Simulation in AgentScope

https://arxiv.org/html/2407.17789v2
org perpetual non-exclusive license arXiv:2407

1 Introduction

https://arxiv.org/html/2608.02854v1
Unlike distributional robustness, our approach addresses ambiguity in the risk functional itself

Language Models Encode the Contextual Truth of Propositions

https://arxiv.org/html/2608.03035v1
For example, if a user planning a dinner first mentions that three guests are coming but later shares that two have canceled, an LLM assisting with the reservation must track that only one guest remains, a proposition that can only be determined using information from preceding context, and encode “Three guests are

Report GitHub Issue

https://arxiv.org/html/1802.00050v1
With the increasing availability of well-formed collaborative knowledge bases, the performance of learning algorithms could be significantly enhanced if a way were found to exploit these knowledge bases

Producing Policy Recommendations: from Statistical Decision Theory to

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

Stochastic Games with Minimally Bounded Action Costs

https://arxiv.org/html/2407.18010v2
Correctly modelling economic behaviour requires accurately specifying the costs and rewards associated with economic activity in a given system

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

https://arxiv.org/html/2412.12213v2
3 Hybrid and Theory-Embedded Approaches: The Gap 3 Methodology: The FINN Framework 3

Report GitHub Issue

https://arxiv.org/html/2608.02612v1
org perpetual non-exclusive license arXiv:2608

Eliminating Majority Illusion is Easy

https://arxiv.org/html/2407.20187v1
If there are more blue nodes than red nodes then we say blue is the majority

Fair Money – Public Good Value Pricing With Karma Economies

https://arxiv.org/html/2407.05132v1
Roads provide a diminishing utility for a growing number of users; if too many vehicles enter the network, traffic slows down and congestion arises

1 Introduction

https://arxiv.org/html/2608.03486v1
At the same time, the recent theoretical work of Kolesár and Plagborg-Møller (2025) has demonstrated that statistical identification strategies developed under linearity may fail when the structural relationship between the reduced-form innovations and shocks is nonlinear, even if the shocks themselves satisfy

1 Introduction

https://arxiv.org/html/2407.02518v2
Each critic provides analysis against the given task and corresponding generated response, equipped with external knowledge queried through relevant code snippets and tools like web search and code interpreter

You’ve Got to be Efficient: Ambiguity, Misspecification and

https://arxiv.org/html/2604.05327v4
For these problems, it is therefore always optimal for the decision-maker to proceed as if the likelihood were correctly specified and select the resulting optimal decision rule

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of

https://arxiv.org/html/2608.03573v1
org perpetual non-exclusive license arXiv:2608

Preying on Leveraged ETFsPreliminary and incomplete. This project was

https://arxiv.org/html/2608.03703v1
This project was begun on July 20, 2026; the present version is dated August 4, 2026

Mathematics

https://arxiv.org/list/math/new
up to 2000 entries per page: fewer | more | all New submissions (showing 219 of 219 entries) [1] arXiv:2608

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

https://arxiv.org/html/2608.03452v1
1 Experiment 1: Do the models encode the L-shaped class

When LLMs Play the Telephone Game: Cultural Attractors as Conceptual

https://arxiv.org/html/2407.04503v4
Given the implications of LLM usage for the production of cultural information, numerous researchers have studied the properties of LLM-generated content

Computer Vision and Pattern Recognition

https://arxiv.org/list/cs.CV/new
CV) Recent advances in image generation have demonstrated the potential of unified multimodal models that integrate understanding, generation, and editing

Rainfall is rough

https://arxiv.org/html/2607.27099v1
org perpetual non-exclusive license arXiv:2607

Reviving Micro Real Rigidities: The Importance of Demand ShocksThe views

https://arxiv.org/html/2608.02817v1
Reviving Micro Real Rigidities: The Importance of Demand ShocksThe views expressed here are those of the authors and not necessarily those of the Federal Reserve Bank of Atlanta or the Federal Reserve System

Untitled Document

https://arxiv.org/html/2607.28294v1
In these applications the econometrician typically observes all events occurring during a given calendar-time window

Optimal Execution with Passive Market Impact

https://arxiv.org/html/2607.28323v1
3 Estimating the MLOFI price impact decay 5

Artificial Intelligence

https://arxiv.org/list/cs.AI/new
Given a data field description, ISEE measures its quality through a scoring system, gathers domain knowledge, and collaboratively enriches the semantics with users

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https://arxiv.org/pdf/2006.02318
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https://arxiv.org/pdf/2508.11152
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https://arxiv.org/pdf/2607.26327v3
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