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Information Retrieval

https://arxiv.org/list/cs.IR/recent
02048 [pdf, html, other] Title: SmartGR: Hierarchy and Beam-Aware Knowledge Distillation for Generative Recommendation Ziheng Zhang, Yu Cui, Bohao Wang, Yong He, Chao Yu, Chuan Yuan, Wujie Sun, Can Wa

Statistics Theory Mar 2024

https://arxiv.org/list/math.ST/2024-03
00186 [pdf, html, other] Title: Warped Kernel Estimator for I

Report GitHub Issue

https://arxiv.org/html/2609.03371v1
Report GitHub Issue Description: arXiv is now an independent nonprofit

Information Retrieval

https://arxiv.org/list/cs.IR/new
Our results show that skill representation itself matters, and that simply preserving the structure already present in skill files can substantially improve retrieval

Report GitHub Issue

https://arxiv.org/html/2607.28127v1
Consequently, the ability to effectively leverage these technologies to extract actionable insights from complex narratives and convert them into autonomous trading signals can provide a significant informational advantage, leading to improved price prediction (Peng and Jiang, 2016) and the development of effective

Theoretical Economics

https://arxiv.org/list/econ.TH/new
The parameters are fully identified from probability equivalents of events, simple binary bets that can be elicited experimentally

Computation and Language

https://arxiv.org/list/cs.CL/new
LG) Half a million cuneiform clay tablets survive in museums worldwide, yet modern users can neither read nor write in the world's oldest writing system, leaving a 4,000-year cultural barrier that existing NLP tools have only partially addressed

Microstructural Foundations of Rough Noise1footnote

https://arxiv.org/html/2607.29442v2
In an asymptotic framework inspired by Rosenbaum2018, we show that the rescaled price process converges to a Bachelier-type semimartingale plus a Gaussian moving average whose kernel is determined explicitly by the trawl function

1 Introduction

https://arxiv.org/html/2410.05779v3
com Both Chao Huang and Yanhua Yu are corresponding authors

[2608.12700] A Contract-Grade Verifier for LLM-Generated GPU Kernels

https://arxiv.org/abs/2608.12700
A kernel can pass that test and still be silently wrong

[2204.04218] Multimodal Multi-Head Convolutional Attention with Various

https://arxiv.org/abs/2204.04218
In many situations, computed tomography (CT) or magnetic resonance imaging (MRI) techniques capture several scans (modes) during a single investigation, which can jointly be used (in a multimodal fashion) to further boost the quality of super-resolution results

Databases

https://arxiv.org/list/cs.DB/new
We propose an architectural pattern for such systems, a trusted kernel with a generative shell, resting on one invariant: a component that can fabricate may influence which question the system answers, never which value it returns

Distributed, Parallel, and Cluster Computing

https://arxiv.org/list/cs.DC/new
SE) Automating GPU kernel optimization remains difficult in practice: generated variants can violate correctness constraints, runtime measurements are noisy, and search often stalls early

[2608.02851v1] Stabilization of First-Order Partial Integro-Differential

https://arxiv.org/abs/2608.02851v1
The design relies on two affine Volterra transformations involving both Fredholm- and Volterra-type integral terms, which results in a four-PIDE kernel equations

Operating Systems

https://arxiv.org/list/cs.OS/new
Applications may therefore slow down before the kernel kills a process

A Heterogeneous Spatiotemporal GARCH Model: A Predictive Framework for

https://arxiv.org/html/2508.20101v1
The model combines classical GARCH(pp, qq) dynamics with spatially correlated innovations and spatially varying parameters, estimated using local likelihood methods

Computation and Language Oct 2022

https://arxiv.org/list/cs.CL/2022-10
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 Computation and Language Authors and titles for October 2022 Total of 1397

Quantitative Biology

https://arxiv.org/list/q-bio/recent
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 Quantitative Biology Authors and titles for recent submissions Wed, 5 Aug 2026

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

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

I Introduction

https://arxiv.org/html/2407.00632v1
Our contributions can be summarized as follows 222This work is in progress

arXiv is now an independent nonprofit! Learn more ×

https://arxiv.org/html/1802.00048v2
Tandon School of Engineering, New York University, New York, USA    John Levine Affiliation: Computer and Information Science Department, University of Strathclyde, Glasgow, UK, E-mail Damien

Systems and Control

https://arxiv.org/list/cs.SY/new
Elementary as the system looks, the least worst-case peak $\|x\|_\infty$ that a causal controller can guarantee against an adversarial pair $(a, w)$ (the value of this game) has, to our knowledge, never been determined for any adaptive control problem with parametric uncertainty of arbitrary size under this criterion;

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

Electrical Engineering and Systems Science

https://arxiv.org/list/eess/new
The design relies on two affine Volterra transformations involving both Fredholm- and Volterra-type integral terms, which results in a four-PIDE kernel equations

Statistics Theory

https://arxiv.org/list/math.ST/new
If \(T_\star\) is the selected physical trajectory length and \(a_\star=\sqrt m\,T_\star\), a terminal-depth transfer argument yields restricted conductance and warm-start mixing without lazifying either kernel

1 Introduction

https://arxiv.org/html/2508.02739v1
Our pre-trained model is publicly available at https://github

Solar and Stellar Astrophysics

https://arxiv.org/list/astro-ph.SR/new
Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Solar and Stellar Astrophysics New submissions Cross-lists Replacements See recent articles Showing new listings for Friday, 7 August

Numerical Analysis

https://arxiv.org/list/cs.NA/new
Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Numerical Analysis New submissions Cross-lists Replacements See recent articles Showing new listings for Monday, 17 August 2026 Total

1 Introduction

https://arxiv.org/html/2511.06451v1
Spectral safety and discrete Green kernel

1 Introduction

https://arxiv.org/html/2407.15077v2
Intuitively, partitioning policies of all agents according to their interdependence and updating joint policy batch-by-batch can effectively balance performance and efficiency