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🔍 lam pham 📂 Computer Science
Showing 2083 results for "lam pham" in Computer Science
Computer Science Preprint PDF DOI

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains

Shiyao Peng, Qianhe Zheng, Zhuodi Hao, Zichen Tang, Rongjin Li, Qing Huang, Jiayu Huang, Jiacheng Liu, Yifan Zhu, Haihong E · 2026

Although precise recall is a core objective in Retrieval-Augmented Generation (RAG), a critical oversight persists in the field: improvements in retrieval performance do not consistently translate to …

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Computer Science Preprint PDF DOI

Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL

Sajjad Ahmed, Alexander Kropotov, Roberto Ignacio Genovese, Bernat Homs, Eloi Merino, Francesco Urbani, Henrique Yano, Ivan Diaz, Joan Gracia Fernandez, Matteo Toselli, Muhammad Imran, Muhammad Abu Bakar Umar Haider Iqbal, Nadeem Yaseen, Quswar Abid, Shaista Cheema, Samuel Sanchez, Daniel Garcia, Joan Cabre, Mostafa Elyasi, Fernando Ayats, Miquel Moreto, Teresa Cervero, Oscar Palomar, Behzad Salami · 2026

The Barcelona Zetascale Lab (BZL) project aims to strengthening Europe's capacity in the design and manufacture of RISC-V based high-performance computing chips. In this context, we present a holistic…

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Computer Science Preprint PDF DOI

Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Qitong Li, Raj Nileshbhai Dave, Rhema Amanda Phiri, Leo Zhang, Xiaoyu Zheng, Ariana Blake, Livia Ford, Sarah Jones, Susan R. Strickler, Nivedita Arora · 2026

Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Ph…

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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 · 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 meas…

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Computer Science Preprint PDF DOI

ClayScape: A GenAI-Supported Workflow for Designing Chinese Style Ceramics with Clay 3D Printing

Sijia Liu, Hoi Ching Silvester Mok, Long Ling, Tobias Klein, Ray LC · 2026

Chinese ceramic-making involves complex and interdependent steps, making it technically demanding. Digital fabrication methods attempt to make the process more accessible, but for craft-creators, tech…

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Computer Science Preprint PDF DOI

Feature Anchors for Time-Series Sensor-Based Human Activity Recognition

Ruijie Yao, Chenhang Li, Danyang Zhuo, Tingjun Chen, Xiaoyue Ni · 2026

Wearable Human Activity Recognition (HAR) still lacks a representation that is both explicit and adaptable. Handcrafted time-series features (TSFs) capture meaningful motion statistics and remain comp…

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Computer Science Preprint PDF DOI

Profiling Resilient to Change in Probe Position

Elie Bursztein, Michael Gruber, Karel Kral, Jean-Michel Picod, Matthias Probst, Georg Sigl · 2026

Side Channel Analysis (SCA) relaxes the black-box assumption of conventional cryptanalysis by incorporating physical measurements acquired during cryptographic operations. Electro-magnetic (EM) emissi…

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Computer Science Preprint PDF DOI

AgentWard: A Lifecycle Security Architecture for Autonomous AI Agents

Yixiang Zhang, Xinhao Deng, Jiaqing Wu, Yue Xiao, Ke Xu, Qi Li · 2026

Autonomous AI agents extend large language models into full runtime systems that load skills, ingest external content, maintain memory, plan multi-step actions, and invoke privileged tools. In such sy…

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Computer Science Preprint PDF DOI

From Players to Participants: Citizen Science and Video Games to Understand Cognition

Syrine Salouhou, Edgar Dubourg, Maxwell Scott-Slade, Hugo Spiers, Antoine Coutrot · 2026

Citizen science is transforming how cognitive scientists study the human mind, and video games are at the heart of this shift. By embedding experimental tasks into engaging, game-like experiences, res…

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Computer Science Preprint PDF DOI

The software space of science

Zhouming Wu, Dakota Murray · 2026

Science advances not only through the accumulation of facts but also through the evolution of tools. Crucially, tools are rarely used in isolation. They form tool portfolios, combinations shaped by a …

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Computer Science Preprint PDF DOI

FlashSpread: IO-Aware GPU Simulation of Non-Markovian Epidemic Dynamics via Kernel Fusion

Heman Shakeri, Behnaz Moradi-Jamei, Aram Vajdi, Ehsan Ardjmand · 2026

Non-Markovian (renewal) epidemic simulation on multi-million-node contact networks is essential for realistic forecasting under general age-dependent holding-time distributions (log-normal, Weibull, E…

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Computer Science Preprint PDF DOI

Looking Into the Past: Eye Movements Characterize Elements of Autobiographical Recall in Interviews with Holocaust Survivors

Emily Zhou, Marcus Ma, Kleanthis Avramidis, Gabor Mihaly Toth, Shrikanth Narayanan · 2026

Eye movement and memory retrieval are deeply and bidirectionally intertwined, however existing literature is generally confined to controlled lab settings. We investigate the relationship between eye …

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Computer Science Preprint PDF DOI

MCP Pitfall Lab: Exposing Developer Pitfalls in MCP Tool Server Security under Multi-Vector Attacks

Run Hao, Zhuoran Tan · 2026

Model Context Protocol (MCP) is increasingly adopted for tool-integrated LLM agents, but its multi-layer design and third-party server ecosystem expand risks across tool metadata, untrusted outputs, c…

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Computer Science Preprint PDF DOI

AVISE: Framework for Evaluating the Security of AI Systems

Mikko Lempinen, Joni Kemppainen, Niklas Raesalmi · 2026

As artificial intelligence (AI) systems are increasingly deployed across critical domains, their security vulnerabilities pose growing risks of high-profile exploits and consequential system failures.…

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Computer Science Preprint PDF DOI

Nearly Optimal Bounds for Computing Decision Tree Splits in Data Streams

Hoang Ta, Hoa T. Vu · 2026

We establish nearly optimal upper and lower bounds for approximating decision tree splits in data streams. For regression with labels in the range $\{0,1,\ldots,M\}$, we give a one-pass algorithm usin…

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Computer Science Preprint PDF DOI

Efficient Arithmetic-and-Comparison Homomorphic Encryption with Space Switching

Erwin Eko Wahyudi, Yan Solihin, Qian Lou · 2026

Fully homomorphic encryption (FHE) enables computation on encrypted data without decryption, making it central to privacy-preserving applications. However, no existing scheme efficiently supports both…

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Computer Science Preprint PDF DOI

From Craft to Kernel: A Governance-First Execution Architecture and Semantic ISA for Agentic Computers

Xiangyu Wen, Yuang Zhao, Xiaoyu Xu, Lingjun Chen, Changran Xu, Shu Chi, Jianrong Ding, Zeju Li, Haomin Li, Li Jiang, Fangxin Liu, Qiang Xu · 2026

The transition of agentic AI from brittle prototypes to production systems is stalled by a pervasive crisis of craft. We suggest that the prevailing orchestration paradigm-delegating the system contro…

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Computer Science Preprint PDF DOI

Atomic Decision Boundaries: A Structural Requirement for Guaranteeing Execution-Time Admissibility in Autonomous Systems

Marcelo Fernandez (TraslaIA) · 2026

Autonomous systems increasingly execute actions that directly modify shared state, creating an urgent need for precise control over which transitions are permitted to occur. Existing governance mechan…

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Computer Science Preprint PDF DOI

ICLAD: In-Context Learning with Comparison-Guidance for Audio Deepfake Detection

Benjamin Chou, Yi Zhu, Surya Koppisetti · 2026

Audio deepfakes pose a significant security threat, yet current state-of-the-art (SOTA) detection systems do not generalize well to realistic in-the-wild deepfakes. We introduce a novel \textbf{I}n-\t…

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Computer Science Preprint PDF DOI

ArtifactNet: Detecting AI-Generated Music via Forensic Residual Physics

Heewon Oh · 2026

We present ArtifactNet, a lightweight framework that detects AI-generated music by reframing the problem as forensic physics -- extracting and analyzing the physical artifacts that neural audio codecs…

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