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Showing 378930 results for "program evaluation"
Physics Preprint PDF DOI

Simulating dynamics of RLC circuits with a quantum differential-algebraic equations solver

Arkopal Dutt, Anirban Chowdhury, Kristan Temme, Hari Krovi ยท 2026

We introduce a quantum algorithm for simulating the dynamics of electrical circuits consisting of resistors, inductors and capacitors (aka RLC circuits) along with power sources. Given oracle access tโ€ฆ

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Computer Science Preprint PDF DOI

Artistic Practice Opportunities in CST Evaluations: A Longitudinal Group Deployment of ArtKrit

Catherine Liu, Tao Long, Asya Vaisberg, Chau Vu, Jiaju Ma, Jingyi Li ยท 2026

Creativity support tools (CSTs) aim to elevate the quality of artists' creative processes and artifacts. Yet most current CST evaluations overlook temporal and social aspects of tool use. To address tโ€ฆ

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Mathematics Preprint PDF DOI

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees

Junan Lin, Paul J. Goulart, Luca Furieri ยท 2026

The Alternating Direction Method of Multipliers (ADMM) is a widely used method for structured convex optimization, and its practical performance depends strongly on the choice of penalty and relaxatioโ€ฆ

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Physics Preprint PDF DOI

Energy-Dependent Polarization Angle Variability as a Robust Diagnostic for Blazar Flaring Mechanisms

Haocheng Zhang, Benjamin de Jonge, Manel Errando, Xiaocan Li, Fan Guo ยท 2026

Identifying the physical mechanism driving blazar flares remains a central challenge in high-energy astrophysics. We show that the energy dependence of the standard deviation of the polarization angleโ€ฆ

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Computer Science Preprint PDF DOI

Exact Dynamic Programming for Solow--Polasky Diversity Subset Selection on Lines and Staircases

Michael T.M. Emmerich ยท 2026

We study exact fixed-cardinality Solow--Polasky diversity subset selection on ordered finite $\ell_1$ sets, with monotone biobjective Pareto fronts and their higher-dimensional staircase analogues as โ€ฆ

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Computer Science Preprint PDF DOI

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation

Yeheng Chen, Chaoxiang Xie, Yuling Shi, Wenhao Zeng, Yongpan Wang, Hongyu Zhang, Xiaodong Gu ยท 2026

LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two extremes -- compositional code creation, iโ€ฆ

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AI & Data Science Preprint PDF DOI

On the Learning Curves of Revenue Maximization

Steve Hanneke, Alkis Kalavasis, Shay Moran, Grigoris Velegkas ยท 2026

Learning curves are a fundamental primitive in supervised learning, describing how an algorithm's performance improves with more data and providing a quantitative measure of its generalization abilityโ€ฆ

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Physics Preprint PDF DOI

Testing Scale-Dependent Modified Gravity with DESI DR1

D. Gonzalez, G. Niz, A. Aviles, C. Garcia-Quintero, H.E. Noriega, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, T. Claybaugh, A. de la Macorra, A. de Mattia, P. Doel, S. Ferraro, J. E. Forero-Romero, E. Gaztanaga, S. Gontcho A Gontcho, G. Gutierrez, C. Hahn, K. Honscheid, D. Huterer, M. Ishak, R. Joyce, S. Juneau, R. Kehoe, D. Kirkby, M. Landriau, L. Le Guillou, M. E. Levi, M. Manera, A. Meisner, R. Miquel, S. Nadathur, W.J. Percival, I. Perez-Rafols, G. Rossi, L. Samushia, E. Sanchez, D. Schlegel, H. Seo, J. Silber, D. Sprayberry, G. Tarle, B. A. Weaver, R. Zhou (DESI Collaboration) ยท 2026

The Dark Energy Spectroscopic Instrument (DESI) provides an unprecedented opportunity to test deviations from general relativity (GR) that introduce a new physical scale within its redshift range. Usiโ€ฆ

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Physics Preprint PDF DOI

Permutation Invariant Optimization Problems in Quantum Information Theory: A Framework for Channel Fidelity and Beyond

Bjarne Bergh, Marco Parentin ยท 2026

Exploiting permutation invariance to reduce the exponential scaling of semidefinite programs in quantum information has emerged as a powerful computational technique. In this work, we develop a systemโ€ฆ

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AI & Data Science Preprint PDF DOI

ClawGym: A Scalable Framework for Building Effective Claw Agents

Fei Bai, Huatong Song, Shuang Sun, Daixuan Cheng, Yike Yang, Chuan Hao, Renyuan Li, Feng Chang, Yuan Wei, Ran Tao, Bryan Dai, Jian Yang, Wayne Xin Zhao ยท 2026

Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. However, scalable development around these environments remains constrained by the absencโ€ฆ

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Engineering Preprint PDF DOI

Recent Advances in mm-Wave and Sub-THz/THz Oscillators for FutureG Technologies

Baktash Behmanesh, Ahmad Rezvanitabar ยท 2026

This paper provides a concise yet comprehensive review of recent advancements in millimeter-wave (mm-wave) oscillators below 100 GHz and sub-terahertz (sub-THz/THz) oscillators above 100 GHz for next-โ€ฆ

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Mathematics Preprint PDF DOI

Stochastic Scaling Limits and Synchronization by Noise in Deep Transformer Models

Andrea Agazzi, Giuseppe Bruno, Eloy Mosig Garcia, Samuele Saviozzi, Marco Romito ยท 2026

We prove pathwise convergence of the layerwise evolution of tokens in a finite-depth, finite-width transformer model with MultiLayer Perceptron (MLP) blocks to a continuous-time stochastic interactingโ€ฆ

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Computer Science Preprint PDF DOI

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval

Arne Eichholtz, Yongkang Li, Jutte Vijverberg, Tobias Groot, Mohammad Aliannejadi ยท 2026

The Hypencoder, proposed by Killingback et al., is a retrieval framework that replaces the fixed inner-product scoring function used in standard bi-encoders with a query-specific neural network (the $โ€ฆ

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Physics Preprint PDF DOI

Longitudinal beam instability driven by coherent radiation in an SSMB laser modulator

Yingjie Dai, Zhuoyuan Liu, Tong Li, Xiujie Deng, Lixin Yan ยท 2026

Storage ring-based steady-state microbunching (SSMB) is a promising approach for generating high-average-power coherent radiation, while the instabilities driven by coherent undulator radiation in theโ€ฆ

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AI & Data Science Preprint PDF DOI

SEAL: Semantic-aware Single-image Sticker Personalization with a Large-scale Sticker-tag Dataset

Changhyun Roh, Yonghyun Jeong, Jonghyun Lee, Chanho Eom, Jihyong Oh ยท 2026

Synthesizing a target concept from a single reference image is challenging in diffusion-based personalized text-to-image generation, particularly for sticker personalization where prompts often requirโ€ฆ

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Earth & Environmental Sciences Preprint PDF DOI

Dynamics of East Atlantic seed vortex populations in global km-scale models

Ben Maybee, Francesca Morris, Juliane Schwendike, Ashar Aslam, Calum Scullion, Richard W. Jones, Dasha Shchepanovska, Kevin I Hodges ยท 2026

Africa is the primary source of cyclonic vortices over the tropical Atlantic. Over both land and sea, these vortices are entwined with deep convective activity, with the majority being African Easterlโ€ฆ

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AI & Data Science Preprint PDF DOI

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

Attila Pinter, Javier Rico, Attila Repai, Jalal Al-Afandi, Adrienn Eva Borsy, Andras Kozma, Hajnalka Andrikovics, Gyorgy Cserey ยท 2026

We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints of a clinical cytogenetic laboratory. KAYRA is architected as a containerized microservice pipeline โ€ฆ

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Computer Science Preprint PDF DOI

A 3GPP Perspective on Spectrum Sharing for the 5G-to-6G Migration: From DSS to MRSS

Xingqin Lin ยท 2026

Dynamic spectrum sharing (DSS) played an important role in the 4G-to-5G transition by allowing 5G new radio (NR) to enter valuable legacy spectrum without immediate static refarming. Yet practical depโ€ฆ

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Computer Science Preprint PDF DOI

Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows

Sajel Surati, Rosanna Bellini, Emily Black ยท 2026

When generative AI (genAI) systems are used in high-stakes decision-making, its recommended role is to aid, rather than replace, human decision-making. However, there is little empirical exploration oโ€ฆ

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AI & Data Science Preprint PDF DOI

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data

Bao Pham, Mohammed J. Zaki, Luca Ambrogioni, Dmitry Krotov, Matteo Negri ยท 2026

When do language diffusion models memorize their training data, and how to quantitatively assess their true generative regime? We address these questions by showing that Uniform-based Discrete Diffusiโ€ฆ

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