Results 201 to 210 of about 12,832 (282)

Hard label adversarial attack with high query efficiency against NLP models. [PDF]

open access: yesSci Rep
Qiu S   +6 more
europepmc   +1 more source

An Affective‐Political Theorizing of Backlash to Diversity, Equity, and Inclusion (DEI) in Higher Education

open access: yesEducational Theory, Volume 76, Issue 4, Page 486-505, August 2026.
Abstract In recent years, diversity, equity, and inclusion (DEI) initiatives in higher education have become the focal point of intense political and academic contestation. While these developments are frequently described as a “backlash,” the concept of backlash itself has rarely been theorized in education.
Michalinos Zembylas
wiley   +1 more source

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images

open access: yes
Adversarial attack has garnered considerable attention due to its profound implications for the secure deployment of robots in sensitive security scenarios.
Fan, Mingyuan   +3 more
core   +1 more source

Small Language Models: A Systematic Review of Computational Trade‐Offs, Privacy Advantages and Deployment in Intelligent Systems

open access: yesExpert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley   +1 more source

Claiming and Blaming: How Minority Party Status Shapes Filibuster Framing in the U.S. Senate

open access: yesLegislative Studies Quarterly, Volume 51, Issue 3, August 2026.
ABSTRACT Why do senators choose to talk about filibustering, a tool widely associated with obstruction and gridlock? This paper examines how senators strategically reference filibustering in official communications, focusing on two rhetorical frames: credit claiming and blaming.
Jessie E. Munson
wiley   +1 more source

When are identity‐based groups harmful to democracy? Victimized majority narratives and Muslim groups in Indonesia

open access: yesPolitical Psychology, Volume 47, Issue 4, August 2026.
Abstract When are identity‐based groups harmful to democracy? We argue that identity‐based groups become harmful to democracy when they engage in and promote victimized majority narratives—portraying the majority as being removed from power and sidelined by minority groups.
Nathanael Gratias Sumaktoyo   +1 more
wiley   +1 more source

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