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🔍 marc vuffray 📂 Computer Science
Showing 2935 results for "marc vuffray" in Computer Science
Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic · 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluati…

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Computer Science Preprint PDF DOI

MARD: A Multi-Agent Framework for Robust Android Malware Detection

Xueying Zeng, Youquan Xian, Sihao Liu, Xudong Mou, Yanze Li, Lei Cui, Bo Li · 2026

With the rapid evolution of Android applications, traditional machine learning-based detection models suffer from concept drift. Additionally, they are constrained by shallow features, lacking deep se…

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Computer Science Preprint PDF DOI

When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape

Richard Joseph Mitchell · 2026

The April 2026 disclosure that a frontier large language model escaped its security sandbox, executed unauthorized actions, and concealed its modifications to version control history demonstrates that…

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Computer Science Preprint PDF DOI

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke · 2026

Generative retrieval (GR) ranks documents by autoregressively generating document identifiers. Because many GR methods rely on trie-constrained beam search, they are vulnerable to early pruning of rel…

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Computer Science Preprint PDF DOI

A Parametric Memory Head for Continual Generative Retrieval

Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke · 2026

Generative information retrieval (GenIR) consolidates retrieval into a single neural model that decodes document identifiers (docids) directly from queries. While this model-as-index paradigm offers a…

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Computer Science Preprint PDF DOI

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA

Teng Chen, Sheng Xu, Feixiang Guo, Xiaoyu Wang, Qingqing Gu, Hongyan Li, Luo Ji · 2026

Unlike traditional fact-based retrieval, rationale-based retrieval typically necessitates cross-encoding of query-document pairs using large language models, incurring substantial computational costs.…

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Computer Science Preprint PDF DOI

You Don't Need Public Tests to Generate Correct Code

Kaushitha Silva, Srinath Perera · 2026

Multi-agent systems are frequently employed for autonomous code generation, demonstrating strong utility in complex algorithmic problem-solving. Recent studies tackle the difficulty of producing funct…

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Computer Science Preprint PDF DOI

Proactive Detection of GUI Defects in Multi-Window Scenarios via Multimodal Reasoning

Xinyao Zhang, Rui Wang, Jinhao Cui, Haotian Huang, Wei Xue, Wenhua Hu, Jianwen Xiang, Rui Hao · 2026

Multi-window mobile scenarios, such as split-screen and foldable modes, make GUI display defects more likely by forcing applications to adapt to changing window sizes and dynamic layout reflow. Existi…

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Computer Science Preprint PDF DOI

From Finite Enumeration to Universal Proof: Ring-Theoretic Foundations for PQC Hardware Masking Verification

Ray Iskander, Khaled Kirah · 2026

Formal verification of masking in post-quantum cryptographic (PQC) hardware relies on SMT solvers over finite domains. Our prior work established structural dependency analysis at scale [1] and quanti…

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Computer Science Preprint PDF DOI

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations

Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang · 2026

Recently, large language models (LLMs) have advanced recommendation systems (RSs), and recent works have begun to explore how to integrate LLMs into industrial RSs. While most approaches deploy LLMs o…

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Computer Science Preprint PDF DOI

The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets

Gaston Besanson · 2026

As generative AI commercializes, competitive advantage is shifting from model training toward inference, distribution, and routing. This paper develops a formal game-theoretic model of vertical forecl…

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Computer Science Preprint PDF DOI

MAGRPO: Accelerated MARL Training for Fluid Antenna-Assisted Wireless Network Optimization

Wanzhe Wang, Tong Zhang, Hao Xu, Shuai Wang, Rui Wang, Kai-Kit Wong · 2026

Fluid antenna system (FAS) becomes a promising paradigm for next-generation wireless networks, which enables position-flexible antenna elements that can dynamically adjust to more favorable channel co…

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Computer Science Preprint PDF DOI

ParikkhaChain: Blockchain-Based Result Processing and Privacy-Preserving Academic Record Management for the Complete Examination Lifecycle

Rabib Jahin Ibn Momin, Ahmed Mahir Sultan Rumi, Rezwana Reaz · 2026

Academic examination systems worldwide continue to rely on centralised, opaque record-keeping that is often vulnerable to credential forgery, result tampering, examiner bias, and the absence of transp…

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Computer Science Preprint PDF DOI

Evaluating Encodings for Bivariate Edges in Adjacency Matrices

Jorge Acosta-Hernandez, Alexander Lex, Tingying He · 2026

We present the first empirical evaluation of techniques for encoding distributions of quantitative edge values within adjacency matrices. In many real-world networks, edges represent not a single valu…

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Computer Science Preprint PDF DOI

Edge-Side Residual Timing and Frequency Control for Software-Defined Ground Stations in 5G NTN Uplinks

Longji He, Elena Emma Wang, Xichun Wang, Juntao Xu, Jiaming Li · 2026

This paper studies a ground-segment implementation problem in 5G non-terrestrial networks (NTN): once UE-side geometric pre-compensation has produced a coarse timing/frequency prior, can an edge-side …

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Computer Science Preprint PDF DOI

Autoencoder-Based CSI Compression for Beyond Wi-Fi 8 Coordinated Beamforming

Ibrahim Aboushehada, Boris Bellalta, Giovanni Geraci, Lorenzo Galati Giordano · 2026

Coordinated beamforming (Co-BF) is a key multi-access-point coordination (MAPC) technique for dense Wi-Fi deployments, but its performance can be hindered by the large channel state information (CSI) …

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Computer Science Preprint PDF DOI

Improving Network Clock Synchronization by Marking Congestion

Yash Deshpande, Quirin Vogel, Laura Becker, Kaan Aykurt, Wolfgang Kellerer · 2026

Achieving consistent time across devices in distributed systems often involves exchanging timestamped messages over a network. Precise time synchronization is crucial for applications such as cellular…

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Computer Science Preprint PDF DOI

MARS: Efficient, Adaptive Co-Scheduling for Heterogeneous Agentic Systems

Yifei Wang, Hancheng Ye, Yechen Xu, Cong Guo, Chiyue Wei, Qinsi Wang, Dongting Li, Tingjun Chen, Hai "Helen" Li, Danyang Zhuo, Yiran Chen · 2026

Large language models (LLMs) are increasingly deployed as the execution core of autonomous agents rather than as standalone text generators. Agentic workloads induce a temporal shift from single-turn …

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Computer Science Preprint PDF DOI

Reproduction Beyond Benchmarks: ConstBERT and ColBERT-v2 Across Backends and Query Distributions

Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee · 2026

Reproducibility must validate architectural robustness, not just numerical accuracy. We evaluate ColBERT-v2 and ConstBERT across five dimensions, finding that while ConstBERT reproduces within 0.05% M…

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Computer Science Preprint PDF DOI

Scheming in the wild: detecting real-world AI scheming incidents with open-source intelligence

Tommy Shaffer Shane, Simon Mylius, Hamish Hobbs · 2026

Scheming, the covert pursuit of misaligned goals by AI systems, represents a potentially catastrophic risk, yet scheming research suffers from significant limitations. In particular, scheming evaluati…

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