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Showing 5481 results for "continuing" in Computer Science
Computer Science Preprint PDF DOI

On the Complexity of the Odd-Red Bipartite Perfect Matching Polytope

Martin Nagele, Christian Nobel, Rico Zenklusen ยท 2026

The odd-red bipartite perfect matching problem asks to find a perfect matching containing an odd number of red edges in a given red-blue edge-colored bipartite graph. While this problem lies in $\mathโ€ฆ

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Average Case Graph Searching in Non-Uniform Cost Models

Micha{l} Szyfelbein ยท 2026

We consider the following generalization of the classic Binary Search Problem: a searcher is required to find a hidden target vertex $x$ in a graph $G$, by iteratively performing queries about verticeโ€ฆ

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On Securing the Software Development Lifecycle in IoT RISC-V Trusted Execution Environments

Annika Wilde, Samira Briongos, Claudio Soriente, Ghassan Karame ยท 2026

RISC-V-based Trusted Execution Environments (TEEs) are gaining traction in the automotive and IoT sectors as a foundation for protecting sensitive computations. However, the supporting infrastructure โ€ฆ

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SAAP: An Efficient Spatial-Aware Analytic Partitioning Algorithm of VLSI Netlists for Parallel Routing

Chen Liu, Hongxin Kong, Lang Feng, Wenchao Qian, Wuxi Li ยท 2026

As VLSI designs grow in complexity, partitioning is widely adopted to accelerate physical design through parallel computing. However, traditional hypergraph partitioning methods often degrade in perfoโ€ฆ

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A spatio-temporal graph-based model for team sports analysis

Camille Grange (LITIS - RI2C, LIPN), Quentin Bourgeais (CETAPS), Rodolphe Charrier (LITIS - RI2C), Geraldine Del Mondo (INSA Rouen Normandie), Antoine Dutot (LITIS - RI2C), Eric Sanlaville (LITIS - RI2C), Ludovic Seifert (CETAPS, IUF) ยท 2026

Team sports represent complex phenomena characterized by both spatial and temporal dimensions, making their analysis inherently challenging. In this study, we examine team sports as complex systems, sโ€ฆ

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The End of the Foundation Model Era: Open-Weight Models, Sovereign AI, and Inference as Infrastructure

Jared James Grogan ยท 2026

The foundation model era -- roughly 2020 to 2025 -- is over. The forces that defined it have inverted. Open source models have reached frontier performance while inference costs approach zero, exposinโ€ฆ

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Organisational accounts engaged in scholarly communication on Twitter: Patterns of presence, activity and engagement

Zohreh Zahedi, Yanqing Zhang, Zekun Han, Er-Te Zheng, Zhichao Fang ยท 2026

Organisational accounts are an integral part of the Twitter (now X) ecosystem. This study identified 9,842 research- and policy-related organisational accounts that had tweeted about scholarly publicaโ€ฆ

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TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems

Kai Wang, Biaojie Zeng, Zeming Wei, Chang Jin, Hefeng Zhou, Xiangtian Li, Chao Yang, Jingjing Qu, Xingcheng Xu, Xia Hu ยท 2026

With the rapid development of LLM-based multi-agent systems (MAS), their significant safety and security concerns have emerged, which introduce novel risks going beyond single agents or LLMs. Despite โ€ฆ

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PhonemeDF: A Synthetic Speech Dataset for Audio Deepfake Detection and Naturalness Evaluation

Vamshi Nallaguntla, Aishwarya Fursule, Shruti Kshirsagar, Anderson R. Avila ยท 2026

The growing sophistication of speech generated by Artificial Intelligence (AI) has introduced new challenges in audio deepfake detection. Text-to-speech (TTS) and voice conversion (VC) technologies caโ€ฆ

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Rising Prevalence of Detected AI-Generated Text in Medical Literature: Longitudinal Analysis in Open Access Articles

Nathan Wolfrath, Simrin Patel, Madelyn Flitcroft, Anjishnu Banerjee, Melek Somai, Bradley H. Crotty, Anai N Kothari ยท 2026

Generative artificial intelligence (AI) tools are becoming increasingly used for writing tasks. However, the extent of their use in peer-reviewed medical literature remains unclear. We conducted a lonโ€ฆ

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Sirens' Whisper: Inaudible Near-Ultrasonic Jailbreaks of Speech-Driven LLMs

Zijian Ling, Pingyi Hu, Xiuyong Gao, Xiaojing Ma, Man Zhou, Jun Feng, Songfeng Lu, Dongmei Zhang, Bin Benjamin Zhu ยท 2026

Speech-driven large language models (LLMs) are increasingly accessed through speech interfaces, introducing new security risks via open acoustic channels. We present Sirens' Whisper (SWhisper), the fiโ€ฆ

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Testing with AI Agents: An Empirical Study of Test Generation Frequency, Quality, and Coverage

Suzuka Yoshimoto, Shun Fujita, Kosei Horikawa, Daniel Feitosa, Yutaro Kashiwa, Hajimu Iida ยท 2026

Agent-based coding tools have transformed software development practices. Unlike prompt-based approaches that require developers to manually integrate generated code, these agent-based tools autonomouโ€ฆ

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Do AI Agents Really Improve Code Readability?

Kyogo Horikawa, Kosei Horikawa, Yutaro Kashiwa, Hidetake Uwano, Hajimu Iida ยท 2026

Code readability is fundamental to software quality and maintainability. Poor readability extends development time, increases bug-inducing risks, and contributes to technical debt. With the rapid advaโ€ฆ

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NeurFrame: Learning Continuous Frame Fields for Structured Mesh Generation

Xiaoyang Yu, Canjia Huang, Zhonggui Chen, Juan Cao ยท 2026

Structured meshes, composed of quadrilateral elements in 2D and hexahedral elements in 3D, are widely used in industrial applications and engineering simulations due to their regularity and superior aโ€ฆ

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Streaming REST APIs for Large Financial Transaction Exports from Relational Databases

Abhiram Kandiraju ยท 2026

Financial platforms and enterprise systems frequently provide transaction export capabilities to support reporting, reconciliation, auditing, and regulatory compliance workflows. In many environments,โ€ฆ

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Understanding LLM Behavior When Encountering User-Supplied Harmful Content in Harmless Tasks

Junjie Chu, Yiting Qu, Ye Leng, Michael Backes, Yun Shen, Savvas Zannettou, Yang Zhang ยท 2026

Large Language Models (LLMs) are increasingly trained to align with human values, primarily focusing on task level, i.e., refusing to execute directly harmful tasks. However, a subtle yet crucial contโ€ฆ

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AnimeScore: A Preference-Based Dataset and Framework for Evaluating Anime-Like Speech Style

Joonyong Park, Jerry Li ยท 2026

Evaluating 'anime-like' voices currently relies on costly subjective judgments, yet no standardized objective metric exists. A key challenge is that anime-likeness, unlike naturalness, lacks a shared โ€ฆ

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Complex-Valued Probability Measures and Their Applications in Information Theory

Siang Cheng, Hejun Xu, Tianxiao Pang ยท 2026

This paper introduces a comprehensive framework for complex-valued probability measures and explores their novel applications in information theory and statistical analysis. We define a complex probabโ€ฆ

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Bridging the Cognitive Gap: Co-Designing and Evaluating a Voice-Enabled Community Chatbot for Older Adults

Feng Chen, Luna Xingyu Li, Ray-Yuan Chung, Wenyu Zeng, Yein Jeon, Yizhou Hu, Oleg Zaslavsky ยท 2026

Digital portals in retirement communities often create physical and cognitive barriers for older adults, leading to digital avoidance. Generative AI offers a solution by enabling natural language inteโ€ฆ

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Simple minimally unsatisfiable subsets of 2-CNFs

Oliver Kullmann, Edward Clewer ยท 2026

We present a study of minimal unsatisfiable subsets (MUSs) of 2-CNF Boolean formulas, building on the Abbasizanjani-Kullmann classification of minimally unsatisfiable 2-CNFs (2-MUs). We start by givinโ€ฆ

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