Expertini Research Research

Browse Research Papers

2,119+ open-access research outputs.

✕ Clear
🔍 patrick forre 📂 Computer Science
Showing 2119 results for "patrick forre" in Computer Science
Computer Science Preprint PDF DOI

MyoKin3X: A Myoelectric Framework for Full-Hand 3D Force Recording

Charlotte Rohleder, Raul Simpetru, Annika Wunsch, Alessandro Del Vecchio · 2026

Simultaneous multi-directional force measurement across all five digits is essential for studying hand coordination, compensatory forces, and myoelectric control, yet existing systems trade off digit …

Read Paper →
Computer Science Preprint PDF DOI

Harnessing the Freedom of Non-Uniformity in Monostatic ISAC with Antenna Flexibility

Zhe Wang, Mahmoud Zaher, Vitaly Petrov, Emil Bjornson · 2026

This paper studies flexible non-uniform array design for monostatic integrated sensing and communication (ISAC) systems. An antenna pool is considered at the base station, where each candidate antenna…

Read Paper →
Computer Science Preprint PDF DOI

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

Zi Li, Tian Zhou, Wenze Li, Jingyu Hua, Yunlong Mao, Sheng Zhong · 2026

Local fine-tuning datasets routinely contain sensitive secrets such as API keys, personal identifiers, and financial records. Although ''local offline fine-tuning'' is often viewed as a privacy bounda…

Read Paper →
Computer Science Preprint PDF DOI

Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline

Falk Dettinger, Matthias Wei{ss}, Baran Can Gul, Sruthi Mangala Suresh, Nasser Jazdi, Michael Weyrich · 2026

Software Defined Vehicles face an increasing computational gap as advanced algorithms and frequent software updates demand more processing power while onboard hardware remains static throughout a vehi…

Read Paper →
Computer Science Preprint PDF DOI

Phase-Separated Complex Hilbert PCA on Markerless 3D Pose Estimation Data: A Global Phase Network and Its Extension to a Continuous Field on the Body Surface

Hiromitsu Goto, Tao Tao, Zheng-Lin Chia · 2026

Quantitative analysis of the kinematic chain in sports motion is essential for performance evaluation and injury prevention. Conventional methods such as the kinematic-sequence (KS) and continuous rel…

Read Paper →
Computer Science Preprint PDF DOI

The Ethical Knowledge Gap: Dispersed Knowledge, Sensemaking Failures, and Epistemic Dependence

Jan Gogoll · 2026

Ethical software development remains stubbornly difficult despite two decades of normative frameworks, professional codes, and participatory methodologies. This paper offers a diagnostic rather than p…

Read Paper →
Computer Science Preprint PDF DOI

Formalizing the Real Numbers in Homotopy Type Theory with Cubical Agda

Jackson Brough · 2026

Real numbers in constructive mathematics have always seemed to require compromises of one form or another. Classical proofs of Cauchy completeness require countable choice, Bishop's setoid constructio…

Read Paper →
Computer Science Preprint PDF DOI

Finding Pareto frontier for one-sided matching

Bhavik Dodda, Garima Shakya · 2026

One-sided matching problems with ordinal preferences, such as hostel room allocation, are commonly solved using the Top Trading Cycles (TTC) mechanism, which guarantees Pareto-optimal (PO) outcomes. H…

Read Paper →
Computer Science Preprint PDF DOI

Strategic Polysemy in AI Discourse: A Philosophical Analysis of Language, Hype, and Power

Travis LaCroix, Fintan Mallory, Sasha Luccioni · 2026

This paper examines the strategic use of language in contemporary artificial intelligence (AI) discourse, focusing on the widespread adoption of metaphorical or colloquial terms like "hallucination", …

Read Paper →
Computer Science Preprint PDF DOI

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models

Yannis Belkhiter, Giulio Zizzo, Sergio Maffeis, Seshu Tirupathi, John D. Kelleher · 2026

The growth of agentic AI has drawn significant attention to function calling Large Language Models (LLMs), which are designed to extend the capabilities of AI-powered system by invoking external funct…

Read Paper →
Computer Science Preprint PDF DOI

Involuntary In-Context Learning: Exploiting Few-Shot Pattern Completion to Bypass Safety Alignment in GPT-5.4

Alex Polyakov, Daniel Kuznetsov · 2026

Safety alignment in large language models relies on behavioral training that can be overridden when sufficiently strong in-context patterns compete with learned refusal behaviors. We introduce Involun…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

From Swap Axioms to Weighted Geometric Means: A Characterization of AMMs

Bjorn Assmann, Ulan Degenbaev · 2026

Many automated market makers can be understood through the geometry of their trading orbits, the sets of states reachable from one another through swaps. In prominent designs, this geometry is capture…

Read Paper →
Computer Science Preprint PDF DOI

Feedback-Driven Execution for LLM-Based Binary Analysis

XiangRui Zhang, Qiang Li, Haining Wang · 2026

Binary analysis increasingly relies on large language models (LLMs) to perform semantic reasoning over complex program behaviors. However, existing approaches largely adopt a one-pass execution paradi…

Read Paper →
Computer Science Preprint PDF DOI

Interactive Exploration of Large-scale Streamlines of Vector Fields via a Curve Segment Neighborhood Graph

Nguyen Phan, Brian Kim, Adeel Zafar, Guoning Chen · 2026

Streamlines have been widely used to represent and analyze various steady vector fields. To sufficiently represent important features in complex vector fields (like flow), a large number of streamline…

Read Paper →
Computer Science Preprint PDF DOI

Racing to Release: Priority, Congestion, and Community Recognition in Open-Source LLM Ecosystems

Bin Liu, Lele Kang, Jiannan Yang · 2026

Open-source large language models have made platforms such as Hugging Face central hubs for decentralized AI innovation. Yet these ecosystems are shaped not only by collaboration, but also by competit…

Read Paper →
Computer Science Preprint PDF DOI

Don't Let AI Agents YOLO Your Files: Shifting Information and Control to Filesystems for Agent Safety and Autonomy

Shawn Wanxiang Zhong, Junxuan Liao, Jing Liu, Mai Zheng, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau · 2026

AI coding agents operate directly on users' filesystems, where they regularly corrupt data, delete files, and leak secrets. Current approaches force a tradeoff between safety and autonomy: unrestricte…

Read Paper →
Computer Science Preprint PDF DOI

On the Meaning of the Web as an Object of Study

Claudio Gutierrez, Daniel Hernandez · 2026

This text advances the hypothesis that the meaning of the Web as an object of study has diluted as a clear research domain. One example of this phenomenon is the identity crisis of the Web Conference …

Read Paper →
Computer Science Preprint PDF DOI

GraphTide: Augmenting Knowledge-Intensive Text with Progressive Nested Graph

Xin Qian, Dazhen Deng, Zhaoping He, Xingbo Wang, Yuchen He, Yingcai Wu · 2026

Knowledge-intensive text usually contains fruitful entities and complex relationships, such as academic articles and scientific exposition. Reading and comprehending such texts often demands considera…

Read Paper →
Computer Science Preprint PDF DOI

Deep Situation-Aware Interaction Network for Click-Through Rate Prediction

Yimin Lv, Shuli Wang, Beihong Jin, Yisong Yu, Yapeng Zhang, Jian Dong, Yongkang Wang, Xingxing Wang, Dong Wang · 2026

User behavior sequence modeling plays a significant role in Click-Through Rate (CTR) prediction on e-commerce platforms. Except for the interacted items, user behaviors contain rich interaction inform…

Read Paper →
Page 1 of 106 Next →