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Showing 62945 results for "machine learning" in Computer Science · Preprint
Computer Science Preprint PDF DOI

DEFault++: Automated Fault Detection, Categorization, and Diagnosis for Transformer Architectures

Sigma Jahan, Saurabh Singh Rajput, Tushar Sharma, Mohammad Masudur Rahman · 2026

Transformer models are widely deployed in critical AI applications, yet faults in their attention mechanisms, projections, and other internal components often degrade behavior silently without raising…

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Computer Science Preprint PDF DOI

Simpler and Improved Replacement Path Coverings

Davide Bilo, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Martin Schirneck · 2026

An important tool in the design of fault-tolerant graph data structures are $(L,f)$-replacement path coverings (RPCs). An RPC is a family $\mathcal{G}$ of subgraphs of a given graph $G$ such that, for…

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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 …

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Computer Science Preprint PDF DOI

Enhancing multimodal affect recognition in healthcare: the robustness of appraisal dimensions over labels within age groups and in cross-age generalisation

Hippolyte Fournier, Sina Alisamir, Safaa Azzakhnini, Isabella Zsoldos, Eleonore Tran, Gerard Bailly, Frederic Elisei, Beatrice Bouchot, Brice Varini, Patrick Constant, Joan Fruitet, Franck Tarpin-Bernard, Solange Rossato, Francois Portet, Olivier Koenig, Hanna Chainay, Fabien Ringeval · 2026

The integration of artificial intelligence (AI) into healthcare has advanced significantly, yet affect recognition remains a major challenge, particularly in AI-assisted interventions such as Computer…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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Computer Science Preprint PDF DOI

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments

Kangyu Yuan, Guanzheng Chen, Sizhe Liang, Hehai Lin, Qingyu Guo, Dingdong Liu, Xiaojuan Ma, Zhenhui Peng · 2026

Critical news reading (CNR), which requires grasping the holistic ideas of and raising critical thoughts on the news, is beneficial yet challenging for general people who usually get information on da…

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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Computer Science Preprint PDF DOI

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning

Bowen Sun, Chaozhuo Li, Yaodong Yang, Yiwei Wang, Chaowei Xiao · 2026

Decompositional jailbreaks pose a critical threat to large language models (LLMs) by allowing adversaries to fragment a malicious objective into a sequence of individually benign queries that collecti…

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Computer Science Preprint PDF DOI

NetSatBench: A Distributed LEO Constellation Emulator with an SRv6 Case Study

Andrea Detti, Shahram Dadras, Giuseppe Tropea · 2026

NetSatBench is a distributed emulation platform for evaluating communication protocols and application workloads over large-scale LEO satellite systems. Satellites, gateways, and user terminals are im…

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Computer Science Preprint PDF DOI

Maximally Diverse Stable Matchings: Optimizing Arbitrary Institutional Objectives

Gergely Csaji, Zhaohong Sun · 2026

Stable matching theory is the foundation of centralized clearinghouses worldwide, from school choice programs to medical residency allocations. However, incorporating complex distributional goals-such…

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Computer Science Preprint PDF DOI

Why Self-Supervised Encoders Want to Be Normal

Yuval Domb · 2026

We develop a geometric and information-theoretic framework for encoder-decoder learning built on the Information Bottleneck (IB) principle. Recasting IB as a rate-distortion problem with Kullback-Leib…

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Computer Science Preprint PDF DOI

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models

Haocheng Huang, Yuchen Chen, Weisong Sun, Peizhuo Lv, Yuan Xiao, Chunrong Fang, Yang Liu, Xiaofang Zhang · 2026

Constructing and curating high-quality code datasets requires significant resources, making them valuable intellectual property. Unfortunately, these datasets currently face severe risks of unauthoriz…

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Computer Science Preprint PDF DOI

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun · 2026

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to re…

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Computer Science Preprint PDF DOI

Tail-aware N-version Machine Learning Models for Reliable API Recommendation

Aoi Matsuda, Fumio Machida, David Lo · 2026

Machine learning (ML)-based API recommendation helps developers efficiently identify suitable APIs to complement the application code. However, code datasets used to train ML models often exhibit a lo…

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Computer Science Preprint PDF DOI

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation

Ethan Bito, Yongli Ren, Estrid He · 2026

Large language models (LLMs) are increasingly used for recommendation reranking, but their listwise predictions can depend on the order in which candidates are presented. This creates a mismatch betwe…

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Computer Science Preprint PDF DOI

treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware

Antoine Lavandier, Bastien Buil, Chrystel Gaber, Emmanuel Baccelli · 2026

Software stacks embedded on microcontroller-based hardware typically provide rudimentary APIs programmed in C/C++, basic connectivity and, sometimes, a firmware update mechanism. Such coarse mechanism…

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Computer Science Preprint PDF DOI

Examining discontinuance of AI-mediated informal digital learning of English (AI-IDLE) among university students: Evidence from SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined university students' discontinuance intention towards AI-mediated informal digital learning of English (AI-IDLE). Drawing on the cognition-affect-conation framework, the study inve…

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Computer Science Preprint PDF DOI

Why Learners Drift In and Out: Examining Intermittent Discontinuance in AI-Mediated Informal Digital English Learning (AI-IDLE) Using SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined intermittent discontinuance in AI-mediated informal digital learning of English (AI-IDLE) through the cognition-affect-conation framework. Survey data were collected from 632 Chine…

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Computer Science Preprint PDF DOI

ScaleBox: Enabling High-Fidelity and Scalable Code Verification for Large Language Models

Jiasheng Zheng, Xin Zheng, Boxi Cao, Pengbo Wang, Zhengzhao Ma, Qiming Zhu, Jiazhen Jiang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun · 2026

Code sandboxes have emerged as a critical infrastructure for advancing the coding capabilities of large language models, providing verifiable feedback for both RL training and evaluation. However, exi…

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