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Showing 782 results for "intestinal absorption" in Computer Science
Computer Science Preprint PDF DOI

From Citation Selection to Citation Absorption: A Measurement Framework for Generative Engine Optimization Across AI Search Platforms

Zhang Kai, He Xinyue, Yao Jingang ยท 2026

Generative search engines increasingly determine whether online information is merely discoverable, cited as a source, or actually absorbed into generated answers. This paper proposes a two-stage measโ€ฆ

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Exploring Creativity in Human-Human-LLM Collaborative Software Design

Victoria Jackson, Grischa Liebel, Rafael Prikladnicki, Andre van der Hoek ยท 2026

While the use of Large Language Models (LLMs) in programming has been extensively studied, there is limited understanding of how LLMs support collaborative work where creativity plays a central role. โ€ฆ

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Spontaneous Persuasion: An Audit of Model Persuasiveness in Everyday Conversations

Nalin Poungpeth, Nicholas Clark, Tanu Mitra ยท 2026

Large language models (LLMs) possess strong persuasive capabilities that outperform humans in head-to-head comparisons. Users report consulting LLMs to inform major life decisions in relationships, meโ€ฆ

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Tractable Verification of Model Transformations: A Cutoff-Theorem Approach for DSLTrans

Levi Lucio ยท 2026

Model transformations are central to MDE, but formal verification is difficult because mainstream transformation languages are undecidable. DSLTrans was designed to be Turing-incomplete to improve verโ€ฆ

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From Intention to Text: AI-Supported Goal Setting in Academic Writing

Yueling Fan, Richard Lee Davis, Olga Viberg ยท 2026

This study presents WriteFlow, an AI voice-based writing assistant designed to support reflective academic writing through goal-oriented interaction. Academic writing involves iterative reflection andโ€ฆ

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SpanKey: Dynamic Key Space Conditioning for Neural Network Access Control

WenBin Yan ยท 2026

SpanKey is a lightweight way to gate inference without encrypting weights or chasing leaderboard accuracy on gated inference. The idea is to condition activations on secret keys. A basis matrix $B$ deโ€ฆ

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Robust Hybrid Beamforming with Liquid Crystal Antennas and Liquid Neural Networks

Xinquan Wang, Mingjun Ying, Hongren Chen, Guanyue Qian, Xingchen Liu, Peijie Ma, Dipankar Shakya, Christos Argyropoulos, Theodore S. Rappaport ยท 2026

Sub-terahertz (sub-THz) multi-user multiple-input multiple-output (MU-MIMO) systems unlock immense bandwidth for 6G wireless communications. However, practical deployment of wireless systems in sub-THโ€ฆ

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CrowdVLA: Embodied Vision-Language-Action Agents for Context-Aware Crowd Simulation

Juyeong Hwang, Seong-Eun Hong, Jinhyun Kim, JaeYoung Seon, Giljoo Nam, Hanyoung Jang, HyeongYeop Kang ยท 2026

Crowds do not merely move; they decide. Human navigation is inherently contextual: people interpret the meaning of space, social norms, and potential consequences before acting. Sidewalks invite walkiโ€ฆ

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Transient Non-Use: How People in Migration Experience Digital Disconnection

Jonathan Leuenberger, Anamika Rajendran, Augusto Penzo Jara, Tajwar-Ul Hoque, Shiva Darian ยท 2026

People experiencing migration endure many transitions across borders, technologies, and social systems. While HCI research often emphasizes this community's adoption of technology, less attention has โ€ฆ

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Bounded by Risk, Not Capability: Quantifying AI Occupational Substitution Rates via a Tech-Risk Dual-Factor Model

Shuyao Gao, Minghao Huang (aSSIST University, Seoul, South Korea) ยท 2026

The deployment of Large Language Models (LLMs) has ignited concerns about technological unemployment. Existing task-based evaluations predominantly measure theoretical "exposure" to AI capabilities, iโ€ฆ

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Multi-Mode Pinching-Antenna Systems: Polarization-Aware Full-Wave Modeling and Optimization

Dengke Wei, Runxin Zhang, Yulin Shao, Fen Hou, Shaodan Ma ยท 2026

Millimeter-wave and terahertz communications face a fundamental challenge: overcoming severe path loss without sacrificing spectral efficiency. Pinching antenna systems (PASS) address this by bringingโ€ฆ

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Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams

Andrea Maldonado, Christian Imenkamp, Hendrik Reiter, Thomas Seidl, Wilhelm Hasselbring, Martin Werner, Agnes Koschmider ยท 2026

The shift toward IoT-enabled, sensor-driven systems has transformed how operational data is generated, favoring continuous, real-time event streams (ES) over static event logs. This evolution presentsโ€ฆ

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Drag or Traction: Understanding How Designers Appropriate Friction in AI Ideation Outputs

A. Baki Kocaballi, Joseph Kizana, Sharon Stein, Simon Buckingham Shum ยท 2026

Seamless AI presents output as a finished, polished product that users consume rather than shape. This risks design fixation: users anchor on AI suggestions rather than generating their own ideas. We โ€ฆ

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SafetyDrift: Predicting When AI Agents Cross the Line Before They Actually Do

Aditya Dhodapkar, Farhaan Pishori ยท 2026

When an LLM agent reads a confidential file, then writes a summary, then emails it externally, no single step is unsafe, but the sequence is a data leak. We call this safety drift: individually safe aโ€ฆ

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Beyond Disinformation: Strategic Misrepresentation across Content, Actors, Processes, and Covertness

Arttu Malkamaki, Daniel Balinhas, Letizia Iannucci, Megan Vine, Frederik Temmermans, Adrien Coppen, Nikos Deligiannis, Mikko Kivela, Michael Quayle, Onur Varol, Fintan McGee ยท 2026

This article revisits the widely studied problem of disinformation and related phenomena in online social networks (OSNs) by reframing it as a broader problem of misrepresentation. While disinformatioโ€ฆ

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Scalable Air-to-Ground Wireless Channel Modeling Using Environmental Context and Generative Diffusion

Jingyi Tian, Lin Cai ยท 2026

The fast motion of Low Earth Orbit (LEO) satellites causes the propagation channel to vary rapidly, and its behavior is strongly shaped by the surrounding environment, especially at low elevation anglโ€ฆ

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Breakdown of Perturbative Expansions and Exact Algebraic Absorption of Finite-Size Fluctuations in Statistical Mechanics

Hiroki Suyari ยท 2026

In statistical mechanics, evaluating finite-size macroscopic fluctuations typically relies on Edgeworth expansions. However, these perturbative methods append additive polynomial corrections that inevโ€ฆ

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TAPAS: Efficient Two-Server Asymmetric Private Aggregation Beyond Prio(+)

Harish Karthikeyan, Antigoni Polychroniadou ยท 2026

Privacy-preserving aggregation is a cornerstone for AI systems that learn from distributed data without exposing individual records, especially in federated learning and telemetry. Existing two-serverโ€ฆ

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The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation

Ilya Ilyankou, Stefano Cavazzi, James Haworth ยท 2026

As pedestrian navigation increasingly experiments with Generative AI, and in particular Large Language Models, the nature of routing risks transforming from a verifiable geometric task into an opaque,โ€ฆ

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When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems

Z. Cheng, N. Song ยท 2026

We report a detailed autoethnographic case study of a single-subject who deliberately constructed and operated a multi-modal prompt-engineering system (System A) designed to externalize cognitive selfโ€ฆ

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