Expertini Research Research

Browse Research Papers

2,775+ open-access research outputs.

✕ Clear
🔍 amanda bienz
Showing 2775 results for "amanda bienz"
Computer Science Preprint PDF DOI

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

Read Paper →
Computer Science Preprint PDF DOI

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

Abidemi Kuburat Adedeji, Franklin Tchakounte, Sulaiman Oluwasegun Yusuff · 2026

Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young po…

Read Paper →
Engineering Preprint PDF DOI

Feedback Linearization of Hyperbolic PDEs with Volterra Nonlinearities

Miroslav Krstic · 2026

Alberto Isidori's framework of geometric nonlinear control, and particularly of feedback linearization, is the inspiration behind PDE backstepping: apply a transfromation of the state to cast the plan…

Read Paper →
Computer Science Preprint PDF DOI

Pragmos: A Process Agentic Modeling System

Pedro-Aaron Hernandez-Avalos, Luciano Garcia-Banuelos · 2026

The advent of Large Language Models (LLMs) has significantly transformed tasks across Software Engineering. In the context of Business Process Management, LLMs are now being explored as tools to deriv…

Read Paper →
Computer Science Preprint PDF DOI

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches

Michael Wienczkowski · 2026

Modern software systems are increasingly developed within rapid continuous integration and deployment (CI/CD) pipelines, where ensuring security prior to release presents significant technical and org…

Read Paper →
Computer Science Preprint PDF DOI

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda

Victoria Gomes, Delaney Selb, Fabio Palomba, Rodrigo Spinola, David Lo · 2026

Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) have emerged as promi…

Read Paper →
AI & Data Science Preprint PDF DOI

Open Problems in Frontier AI Risk Management

Marta Ziosi, Miro Plueckebaum, Stephen Casper, Henry Papadatos, Ze Shen Chin, Peter Slattery, James Gealy, Tim G. J. Rudner, Brian Tse, Ariel Gil, Patricia Paskov, Maximilian Negele, Rokas Gipiskis, Nada Madkour, Vera Lummis, Rupal Jain, Luise Eder, Kristina Fort, Malou C. van Draanen Glismann, Ines Belhadj, Amin Oueslati, Anna K. Wisakanto, Richard Mallah, Koen Holtman, Ranj Zuhdi, Daniel S. Schiff, Jessica Newman, Malcolm Murray, Robert Trager · 2026

Frontier AI both amplifies existing risks and introduces qualitatively novel challenges. Not only is there a notable lack of stable scientific consensus resulting from the rapid pace of technological …

Read Paper →
Computer Science Preprint PDF DOI

AI as Consumer and Participant: A Co-Design Agenda for MBSE Substrates and Methodology

Siyuan Ji · 2026

AI tools are being deployed over MBSE models today, and those models were not designed for this kind of consumption. The problem is not simply that tools hallucinate: well-prompted frontier models pro…

Read Paper →
AI & Data Science Preprint PDF DOI

From Chatbots to Confidants: A Cross-Cultural Study of LLM Adoption for Emotional Support

Natalia Amat-Lefort, Mert Yazan, Amanda Cercas Curry, Flor Miriam Plaza-del-Arco · 2026

Large Language Models (LLMs) are increasingly used not only for instrumental tasks, but as always-available and non-judgmental confidants for emotional support. Yet what drives adoption and how users …

Read Paper →
AI & Data Science Preprint PDF DOI

Green Shielding: A User-Centric Approach Towards Trustworthy AI

Aaron J. Li, Nicolas Sanchez, Hao Huang, Ruijiang Dong, Jaskaran Bains, Katrin Jaradeh, Zhen Xiang, Bo Li, Feng Liu, Aaron Kornblith, Bin Yu · 2026

Large language models (LLMs) are increasingly deployed, yet their outputs can be highly sensitive to routine, non-adversarial variation in how users phrase queries, a gap not well addressed by existin…

Read Paper →
Computer Science Preprint PDF DOI

#MakeBeefGreatAgain: A Cross-Platform Analysis of Early #MAHA Discourse

Haoning Xue, Yue Li, Benjamin A. Lyons, Andy J. King · 2026

Make America Healthy Again (MAHA) is a health-related campaign slogan proposed by Robert F. Kennedy Jr. and later incorporated into the political coalition of President Trump. While #MAHA quickly circ…

Read Paper →
AI & Data Science Preprint PDF DOI

AMAVA: Adaptive Motion-Aware Video-to-Audio Framework for Visually-Impaired Assistance

Benjamin Klein, Kazi Ruslan Rahman, Sanchita Ghose · 2026

Navigational aids for blind and low vision individuals struggle conveying dynamic real-world environments, leading to cognitive overload from continuous, undifferentiated feedback. We present AMAVA, a…

Read Paper →
Neuroscience Preprint PDF DOI

Integrative neurocybernetic modeling in the era of large-scale neuroscience

Il Memming Park, Ayesha Vermani, Gonzalo G. de Polavieja, Juan Alvaro Gallego, Kathleen Esfahany, Shreya Saxena, Michael Orger, Auke Ijspeert, Matthew Dowling, Daniel McNamee, Srinivas C. Turaga, Zachary Mainen, Joseph J. Paton, Alfonso Renart · 2026

Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that underst…

Read Paper →
Physics Preprint PDF DOI

Sustainability-informed materials design

Rachel Woods-Robinson, Amalie Trewartha · 2026

While material innovation can enable sustainable development, environmental and social impacts of emerging materials are often assessed only after design choices are "locked in." Here, we argue for a …

Read Paper →
Computer Science Preprint PDF DOI

Institutions for the Post-Scarcity of Judgment

Lauri Loven · 2026

Each major technological revolution inverts a particular scarcity and rebuilds institutions around the shift. The near-consensus diagnosis of the AI revolution holds that AI collapses the cost of pred…

Read Paper →
Computer Science Preprint PDF DOI

Multi-Agent Consensus as a Cognitive Bias Trigger in Human-AI Interaction

Soohwan Lee, Kyungho Lee · 2026

As multi-agent AI systems become more common, users increasingly encounter not a single AI voice but a collective one. This shift introduces social dynamics, such as consensus, dissent, and gradual co…

Read Paper →
AI & Data Science Preprint PDF DOI

Mapping the Political Discourse in the Brazilian Chamber of Deputies: A Multi-Faceted Computational Approach

Flavio Soriano, Victoria F. Mello, Pedro B. Rigueira, Gisele L. Pappa, Wagner Meira Jr., Ana Paula Couto da Silva, Jussara M. Almeida · 2026

Analyses of legislative behavior often rely on voting records, overlooking the rich semantic and rhetorical content of political speech. In this paper, we ask three complementary questions about parli…

Read Paper →
AI & Data Science Preprint PDF DOI

Alignment has a Fantasia Problem

Nathanael Jo, Zoe De Simone, Mitchell Gordon, Ashia Wilson · 2026

Modern AI assistants are trained to follow instructions, implicitly assuming that users can clearly articulate their goals and the kind of assistance they need. Decades of behavioral research, however…

Read Paper →
Economics & Finance Preprint PDF DOI

Research Streams in Biodiversity Finance: A Bibliometric Analysis and Research Agenda

Lennart Ante, Friedrich-Philipp Wazinski, Aman Saggu · 2026

Biodiversity loss is accelerating at an unprecedented pace, threatening ecosystem stability, economic resilience, and human well-being, with billions required to reverse current trends. Against this b…

Read Paper →
Computer Science Preprint PDF DOI

SoK: The Next Frontier in AV Security: Systematizing Perception Attacks and the Emerging Threat of Multi-Sensor Fusion

Shahriar Rahman Khan, Tariqul Islam, Raiful Hasan · 2026

Autonomous vehicles (AVs) increasingly rely on multi-sensor perception pipelines that combine data from cameras, lidar, radar, and other modalities to interpret the environment. This SoK systematizes …

Read Paper →
Page 1 of 139 Next →