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🔍 mathieu blondel 📂 Computer Science
Showing 569 results for "mathieu blondel" in Computer Science
Computer Science Preprint PDF DOI

Dynamic Grammar-Compressed Self-Index in $\delta$-Optimal Space

Takaaki Nishimoto, Yasuo Tabei · 2026

A compressed self-index stores a string in compressed form while supporting locate queries without decompression. For highly repetitive strings (arising in web crawls, versioned documents, and genomic…

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Computer Science Preprint PDF DOI

"I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AI

Jordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap, Haiyi Zhu, Sarah E. Fox · 2026

Art-making is a collective social activity through which queer people engage in political resistance, develop identities, archive queer memory, and form community. However, in recent years, generative…

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Computer Science Preprint PDF DOI

Technology solutions targeting the performance of gen-AI inference in resource constrained platforms

Joyjit Kundu, Joshua Klein, Aakash Patel, Dwaipayan Biswas · 2026

The rise of generative AI workloads, particularly language model inference, is intensifying on/off-chip memory pressure. Multimodal inputs such as video streams or images and downstream applications l…

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Computer Science Preprint PDF DOI

MEV-ACE: Identity-Authenticated Fair Ordering for Proposer-Controlled MEV Mitigation

Jian Sheng Wang · 2026

Maximal Extractable Value, or MEV, remains a structural threat to blockchain fairness because a block producer can often observe pending transactions and unilaterally decide their ordering or inclusio…

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Computer Science Preprint PDF DOI

Composer Vector: Style-steering Symbolic Music Generation in a Latent Space

Xunyi Jiang, Mingyang Yao, Jingyue Huang, Julian McAuley · 2026

Symbolic music generation has made significant progress, yet achieving fine-grained and flexible control over composer style remains challenging. Existing training-based methods for composer style con…

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Computer Science Preprint PDF DOI

Privacy Guard & Token Parsimony by Prompt and Context Handling and LLM Routing

Alessio Langiu · 2026

The large-scale adoption of Large Language Models (LLMs) forces a trade-off between operational cost (OpEx) and data privacy. Current routing frameworks reduce costs but ignore prompt sensitivity, exp…

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Computer Science Preprint PDF DOI

HFIPay: Privacy-Preserving, Cross-Chain Cryptocurrency Payments to Human-Friendly Identifiers

Jian Sheng Wang · 2026

Sending cryptocurrency to an email address or phone number should be as simple as a bank transfer, yet naive schemes that map identifiers directly to blockchain addresses expose the recipient's balanc…

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Computer Science Preprint PDF DOI

The Observability Gap: Why Output-Level Human Feedback Fails for LLM Coding Agents

Yinghao Wang, Cheng Wang · 2026

Large language model (LLM) multi-agent coding systems typically fix agent capabilities at design time. We study an alternative setting, earned autonomy, in which a coding agent starts with zero pre-de…

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Computer Science Preprint PDF DOI

Towards Privacy-Preserving Federated Learning using Hybrid Homomorphic Encryption

Ivan Costa, Pedro Correia, Ivone Amorim, Eva Maia, Isabel Praca · 2026

Federated Learning (FL) enables collaborative training while keeping sensitive data on clients' devices, but local model updates can still leak private information. Hybrid Homomorphic Encryption (HHE)…

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Computer Science Preprint PDF DOI

Approximation Schemes for Subset TSP and Steiner Tree on Geometric Intersection Graphs

Sandor Kisfaludi-Bak, Daniel Marx · 2026

We give approximation schemes for Subset TSP and Steiner Tree on unit disk graphs, and more generally, on intersection graphs of similarly sized connected fat (not necessarily convex) polygons in the …

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Computer Science Preprint PDF DOI

A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation

Chengshuai Yang · 2026

Large language models can generate scientific simulation code, but the generated code silently fails on most non-textbook problems. We show that classical mathematical validation -- well-posedness, co…

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Computer Science Preprint PDF DOI

Clinical Note Bloat Reduction for Efficient LLM Use

Jordan L. Cahoon, Chloe Stanwyck, Asad Aali, Rachel Madding, Emma Sun, Yixing Jiang, Renumathy Dhanasekaran, Emily Alsentzer · 2026

Health systems are rapidly deploying large language models (LLMs) that use clinical notes for clinical decision support applications. However, modern documentation practices rely heavily on templates,…

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Computer Science Preprint PDF DOI

System-Technology Co-Optimization of Bitline Routing and Bonding Pathways in Monolithic 3D DRAM Architectures

Kiseok Lee, Sungwon Cho, Seongkwang Lim, Suman Datta, Shimeng Yu · 2026

3D DRAM has emerged as a promising approach for continued density scaling, but its viability is limited by routing and hybrid bonding constraints to periphery, which may degrade sensing margin, latenc…

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Computer Science Preprint PDF DOI

World Mouse: Exploring Interactions with a Cross-Reality Cursor

Esen K. Tutuncu, Mar Gonzalez-Franco, Khushman Patel, Eric J. Gonzalez · 2026

As Extended Reality (XR) systems increasingly map and understand the physical world, interacting with these blended representations remains challenging. The current push for "natural" inputs has its t…

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Computer Science Preprint PDF DOI

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

Peter Brodeur, Jacob M. Koshy, Anil Palepu, Khaled Saab, Ava Homiar, Roma Ruparel, Charles Wu, Ryutaro Tanno, Joseph Xu, Amy Wang, David Stutz, Wei-Hung Weng, Hannah M. Ferrera, David Barrett, Lindsey Crowley, Jihyeon Lee, Spencer E. Rittner, Ellery Wulczyn, Selena K. Zhang, Elahe Vedadi, Christine G. Kohn, Kavita Kulkarni, Vinay Kadiyala, Sara Mahdavi, Wendy Du, Jessica M. Williams, David Feinbloom, Renee Wong, Tao Tu, Petar Sirkovic, Alessio Orlandi, Christopher Semturs, Yun Liu, Juraj Gottweis, Dale R. Webster, Joelle Barral, Katherine Chou, Pushmeet Kohli, Avinatan Hassidim, Yossi Matias, James Manyika, Rob Fields, Jonathan X. Li, Marc L. Cohen, Vivek Natarajan, Mike Schaekermann, Alan Karthikesalingam, Adam Rodman · 2026

Large language model (LLM)-based AI systems have shown promise for patient-facing diagnostic and management conversations in simulated settings. Translating these systems into clinical practice requir…

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Computer Science Preprint PDF DOI

A Randomized Controlled Trial and Pilot of Scout: an LLM-Based EHR Search and Synthesis Platform

Michael Gao, Suresh Balu, William Knechtle, Kartik Pejavara, William Jeck, Matthew Ellis, Jason Thieling, Blake Cameron, Jason Tatreau, Tareq Aljurf, Henry Foote, Michael Revoir, Marshall Nichols, Matthew Gardner, William Ratliff, Bradley Hintze, Angelo Milazzo, Sreekanth Vemulapalli · 2026

Clinical documentation and data retrieval within Electronic Health Records (EHRs) contribute substantially to clinician workload and burnout. To address this, we developed Scout, an LLM-based EHR sear…

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Computer Science Preprint PDF DOI

Student Preferences for Online Interaction Platforms in Blended Learning: A Mixed-Methods Study

Lois Fajuyigbe, Kaisu Mumuni, Felix Nti Koranteng · 2026

As higher education increasingly adopts blended learning, understanding students preferences for online interaction platforms becomes critical for effective course delivery and engagement. This study …

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Computer Science Preprint PDF DOI

Network Design for Wafer-Scale Systems with Wafer-on-Wafer Hybrid Bonding

Patrick Iff, Tommaso Bonato, Maciej Besta, Luca Benini, Torsten Hoefler · 2026

Transformer-based large language models are increasingly constrained by data movement as communication bandwidth drops sharply beyond the chip boundary. Wafer-scale integration using wafer-on-wafer hy…

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Computer Science Preprint PDF DOI

Detecting RAG Advertisements Across Advertising Styles

Sebastian Heineking, Wilhelm Pertsch, Ines Zelch, Janek Bevendorff, Benno Stein, Matthias Hagen, Martin Potthast · 2026

Large language models (LLMs) enable a new form of advertising for retrieval-augmented generation (RAG) systems in which organic responses are blended with contextually relevant ads. The prospect of su…

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Computer Science Preprint PDF DOI

LLM-supported 3D Modeling Tool for Radio Radiance Field Reconstruction

Chengling Xu, Huiwen Zhang, Haijian Sun, Feng Ye · 2026

Accurate channel estimation is essential for massive multiple-input multiple-output (MIMO) technologies in next-generation wireless communications. Recently, the radio radiance field (RRF) has emerged…

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