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Showing 8042 results for "bas stringer" in Computer Science
Computer Science Preprint PDF DOI

"AI Psychosis" in Context: How Conversation History Shapes LLM Responses to Delusional Beliefs

Luke Nicholls, Robert Hutto, Zephrah Soto, Hamilton Morrin, Thomas Pollak, Raj Korpan, Cheryl Carmichael ยท 2026

Extended interaction with large language models (LLMs) has been linked to the reinforcement of delusional beliefs, a phenomenon attracting growing clinical and public concern. Yet most empirical work โ€ฆ

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EMGFlow: Robust and Efficient Surface Electromyography Synthesis via Flow Matching

Boxuan Jiang, Chenyun Dai, Can Han ยท 2026

Deep learning-based surface electromyography (sEMG) gesture recognition is frequently bottlenecked by data scarcity and limited subject diversity. While synthetic data generation via Generative Adversโ€ฆ

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Cross-Layer Co-Optimized LSTM Accelerator for Real-Time Gait Analysis

Mohammad Hasan Ahmadilivani, Levent Aksoy, Mohammad Eslami, Jaan Raik, Alar Kuusik ยท 2026

Long Short-Term Memory (LSTM) neural networks have penetrated healthcare applications where real-time requirements and edge computing capabilities are essential. Gait analysis that detects abnormal stโ€ฆ

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Phase transition in compressed sensing using log-sum penalty and adaptive smoothing

Keisuke Morita, Federico Ricci-Tersenghi, Masayuki Ohzeki ยท 2026

In many real-world problems, recovering sparse signals from underdetermined linear systems remains a fundamental challenge. Although $\ell_1$ norm minimization is widely used, it suffers from estimatiโ€ฆ

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Online TCP Acknowledgment under General Delays

Sujoy Bhore, Micha{l} Paw{l}owski, Seeun William Umboh ยท 2026

In a seminal work, Dooly, Goldman, and Scott (STOC 1998; JACM 2001) introduced the classic Online TCP Acknowledgment problem. In this problem, a sequence of $n$ packets arrives over time, and the objeโ€ฆ

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Honeypot Protocol

Najmul Hasan ยท 2026

Trusted monitoring, the standard defense in AI control, is vulnerable to adaptive attacks, collusion, and strategic attack selection. All of these exploit the fact that monitoring is passive: it obserโ€ฆ

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Joint Clustering and Prediction of the Quality of Service in Vehicular Cellular Networks

Oscar Stenhammar, Gabor Fodor, Carlo Fischione ยท 2026

Machine learning models are increasingly deployed in wireless networks with stringent performance requirements. However, dynamic propagation environments and fluctuating traffic densities introduce coโ€ฆ

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Human Agency, Causality, and the Human Computer Interface in High-Stakes Artificial Intelligence

Georges Hattab ยท 2026

Current discourse on Artificial Intelligence (AI) ethics, dominated by "trustworthy" and "responsible" AI, overlooks a more fundamental human-computer interaction (HCI) crisis: the erosion of human agโ€ฆ

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Longest Common Extension of a Dynamic String in Parallel Constant Time

Daniel Albert ยท 2026

A longest common extension (LCE) query on a string computes the length of the longest common suffix or prefix at two given positions. A dynamic LCE algorithm maintains a data structure that allows effโ€ฆ

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Scaling Exposes the Trigger: Input-Level Backdoor Detection in Text-to-Image Diffusion Models via Cross-Attention Scaling

Zida Li, Jun Li, Yuzhe Sha, Ziqiang Li, Lizhi Xiong, Zhangjie Fu ยท 2026

Text-to-image (T2I) diffusion models have achieved remarkable success in image synthesis, but their reliance on large-scale data and open ecosystems introduces serious backdoor security risks. Existinโ€ฆ

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HeartSway: Exploring Biodata as Poetic Traces in Public Space

Zeyu Huang, Zhifan Guo, Xingyu Li, Xiaojuan Ma, Noura Howell ยท 2026

Human traces scattered across urban landscapes can signify our everyday lives and societal vibrancy in subtle and poetic forms. In this paper, we explore how designed technology can engage biodata as โ€ฆ

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Minimizing Streaming String Transducers: An algebraic approach

Yahia Idriss Benalioua, Nathan Lhote, Pierre-Alain Reynier ยท 2026

In this work, we study minimization of rational functions given as appending streaming string transducers (aSST for short). We rely on an algebraic presentation of these functions, known as bimachinesโ€ฆ

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AgentForge: Execution-Grounded Multi-Agent LLM Framework for Autonomous Software Engineering

Rajesh Kumar, Waqar Ali, Junaid Ahmed, Najma Imtiaz Ali, Shaban Usman ยท 2026

Large language models generate plausible code but cannot verify correctness. Existing multi-agent systems simulate execution or leave verification optional. We introduce execution-grounded verificatioโ€ฆ

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Generalizing Unit Commitment Problem Solving via SAT-based Decoupling

Yuxin Zhao, Han Huang, Fangji Fu, Zhifeng Hao ยท 2026

As the cornerstone of modern power systems, the Unit Commitment Problem (UC) is critical for ensuring operational security and economic efficiency in the ongoing global energy transition. However, exiโ€ฆ

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Quality-Sensitive Matrix Factorization for Community Notes: Towards Sample Efficiency and Manipulation Resistance

Mohak Goyal, Nishka Arora, Ashish Goel ยท 2026

Community Notes is X's crowdsourced fact-checking program: contributors write short notes that add context to potentially misleading posts, and other contributors rate whether those notes are helpful.โ€ฆ

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Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music

Sreyan Ghosh, Arushi Goel, Kaousheik Jayakumar, Lasha Koroshinadze, Nishit Anand, Zhifeng Kong, Siddharth Gururani, Sang-gil Lee, Jaehyeon Kim, Aya Aljafari, Chao-Han Huck Yang, Sungwon Kim, Ramani Duraiswami, Dinesh Manocha, Mohammad Shoeybi, Bryan Catanzaro, Ming-Yu Liu, Wei Ping ยท 2026

We present Audio Flamingo Next (AF-Next), the next-generation and most capable large audio-language model in the Audio Flamingo series, designed to advance understanding and reasoning over speech, envโ€ฆ

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Privacy as Permissible Operations: An ABAC Framework for Policy-Law Compliance

Ajay Dhakar, Arunesh Sinha, Shamik Sural ยท 2026

In recent years, many countries have started enacting laws to safeguard privacy of personal data of their citizens collected and maintained by various enterprises through websites, mobile apps, and otโ€ฆ

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On the Capacity of Distinguishable Synthetic Identity Generation under Face Verification

Behrooz Razeghi ยท 2026

We study how many synthetic identities can be generated so that a face verifier declares same-identity pairs as matches and different-identity pairs as non-matches at a fixed threshold $\tau$. We formโ€ฆ

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VidAudio-Bench: Benchmarking V2A and VT2A Generation across Four Audio Categories

Qian Zhang, Yuqin Cao, Yixuan Gao, Xiongkuo Min ยท 2026

Video-to-Audio (V2A) generation is essential for immersive multimedia experiences, yet its evaluation remains underexplored. Existing benchmarks typically assess diverse audio types under a unified prโ€ฆ

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Whisper-AuT: Domain-Adapted Audio Encoder for Efficient Audio-LLM Training

Jielin Qiu, Ming Zhu, Wenting Zhao, Zhiwei Liu, Liangwei Yang, Zixiang Chen, Roshan Ram, Akshara Prabhakar, Juntao Tan, Rithesh Murthy, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang ยท 2026

Audio-native large language models (audio-LLMs) commonly use Whisper as their audio encoder. However, Whisper was trained exclusively on speech data, producing weak representations for music and envirโ€ฆ

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