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๐Ÿ” h.short ๐Ÿ“‚ Computer Science
Showing 9775 results for "h.short" in Computer Science
Computer Science Preprint PDF DOI

Real-Time Control of a Virtual Orchestra by Recognition of Conducting Gestures

Mert Mermerci, Emile Pascoe, Fredrik Edstrom, Hedvig Kjellstrom ยท 2026

We present a museum installation in a 180{\deg} dome theater, which gives the museum visitor the experience of conducting a symphony orchestra. We have pre-recorded a short music piece performed by a โ€ฆ

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The Grand Software Supply Chain of AI Systems

Carmine Cesarano, Martin Monperrus ยท 2026

AI systems rest on software with low integrity mechanisms, leaving AI systems exposed across every stage from data acquisition to final inference. This paper makes the AI supply chain a first-class obโ€ฆ

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VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun ยท 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 reโ€ฆ

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Computer Science Preprint PDF DOI

CI-Repair-Bench: A Repository-Aware Benchmark for Automated Patch Validation via CI Workflows

Rabeya Khatun Muna, Md Nakhla Rafi, Tse-Hsun (Peter) Chen ยท 2026

Continuous Integration (CI) enforces repository-level correctness through multi-stage workflows and is central to modern software development, yet diagnosing and repairing CI failures remains challengโ€ฆ

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LLM-Enhanced Topical Trend Detection at Snapchat

Hangqi Zhao, Jay Li, Abhiruchi Bhattacharya, Cong Ni, Jason Yeung, Jinchao Ye, Kai Yang, Akshat Malu, Manish Malik ยท 2026

Automatic detection of topical trends at scale is both challenging and essential for maintaining a dynamic content ecosystem on social media platforms. In this work, we present a large-scale system foโ€ฆ

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Computer Science Preprint PDF DOI

Where did we fail? -- Reproducing build failures in embedded open source software

Han Fu, Andreas Ermedahl, Sigrid Eldh, Kristian Wiklund, Philipp Haller, Cyrille Artho ยท 2026

Due to hardware-software co-development in embedded systems, continuous integration (CI) builds frequently fail because of complex cross-compilation, board configurations, and toolchain constraints. Aโ€ฆ

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Computer Science Preprint PDF DOI

AgentSim: A Platform for Verifiable Agent-Trace Simulation

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Training trustworthy agentic LLMs requires data that shows the grounded reasoning process, not just the final answer. Existing datasets fall short: question-answering data is outcome-only, chain-of-thโ€ฆ

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Tight Bounds for some W[1]-hard Problems Parameterized by Multi-clique-width

Benjamin Bergougnoux, Vera Chekan, Stefan Kratsch ยท 2026

In this work we contribute to the study of the fine-grained complexity of problems parameterized by multi-clique-width, which was initiated by F\"urer [ITCS 2017] and pursued further by Chekan and Kraโ€ฆ

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Economical and ecological impact of sector coupling applied to computing clusters

P. Bechtle, O. Freyermuth, M. Geffers, M. Giffels, M. Hubner, F. Kirfel, J. Kreutz, S. Krieg, S. Matberg, M. Schnepf ยท 2026

The rising share of abundant renewable energy inevitably increases volatility in the electricity production. The concept of sector coupling means that the volatility of electricity production to a larโ€ฆ

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SymphonyGen: 3D Hierarchical Orchestral Generation with Controllable Harmony Skeleton

Xuzheng He, Nan Nan, Zhilin Wang, Ziyue Kang, Zhuoru Mo, Ao Li, Yu Pan, Xiaobing Li, Feng Yu, Xiaohong Guan ยท 2026

Generating symphonic music requires simultaneously managing high-level structural form and dense, multi-track orchestration. Existing symbolic models often struggle with a "complexity-control imbalancโ€ฆ

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Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation

Lanshan He, Haozhou Pang, Qi Gan, Xin Shen, Ziwei Zhang, Yibo Liu, Gang Fang, Bo Liu, Kai Sheng, Shengfeng Zeng, Chaofan Li, Zhen Hui, Keer Zhou, Lan Zhou, Shujun Dai ยท 2026

Cutscenes are carefully choreographed cinematic sequences embedded in video games and interactive media, serving as the primary vehicle for narrative delivery, character development, and emotional engโ€ฆ

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AgentDID: Trustless Identity Authentication for AI Agents

Minghui Xu, Xiaoyu Liu, Yihao Guo, Chunchi Liu, Yue Zhang, Xiuzhen Cheng ยท 2026

AI agents are autonomous entities that can be instantiated on demand, migrate across platforms, and interact with other agents or services without continuous human supervision. In such environments, iโ€ฆ

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Adoption of TikTok as a Learning Tool in Physical Education: Evidence from the Philippines

Vanessa B. Sibug, Jan Henry B. Sunga, Emerson Q. Fernando, Roe Vincent S. Ovejas, Arjan Gil S. Mendoza, Trisha Anne A. Onofre, Agnes R. Regala, John Paul P. Miranda ยท 2026

This study examines the factors that influence the adoption of TikTok as a learning tool for physical education (PE)-related content among tertiary students in the Philippines. The study applies the Tโ€ฆ

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Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains

Emaan Bilal Khan, Amy Winecoff, Miranda Bogen, Dylan Hadfield-Menell ยท 2026

Foundation models are routinely fine-tuned for use in particular domains, yet safety assessments are typically conducted only on base models, implicitly assuming that safety properties persist throughโ€ฆ

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Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short

Enis Golaszewski, Neal Krawetz, Alan T. Sherman, Edward Zieglar, Sai K. Matukumalli, Roberto Yus, Carson L. Kegley, Michael Barthel, William Bowman, Bharg Barot, Kaur Kullman ยท 2026

The rapid rise of generative AI has made it easy to create convincing fake media at scale. In response, an industrial coalition has developed the Coalition for Content Provenance and Authenticity (C2Pโ€ฆ

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Less Is More: Engineering Challenges of On-Device Small Language Model Integration in a Mobile Application

William Oliveira ยท 2026

On-device Small Language Models (SLMs) promise fully offline, private AI experiences for mobile users (no cloud dependency, no data leaving the device). But is this promise achievable in practice? Thiโ€ฆ

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DECOFFEE: Decentralized Reinforcement Learning for Time-critical Workload Offloading and Energy Efficiency across the Computing Continuum

Anastasios Giannopoulos, Sotirios Spantideas, Panagiotis Trakadas ยท 2026

The rapid proliferation of latency-sensitive and battery-constrained Internet-of-Things (IoT) applications has intensified the need for intelligent workload placement mechanisms across the Edge-Cloud โ€ฆ

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Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding

Wang Fan, Wei Cao, Xi Zha, Kedi Ma, MingQian Sun, Jialin Chen, Fengzhe Zhang, Fan Zhang ยท 2026

Long contexts improve capabilities of large language models but pose serious hardware challenges: compute and memory footprints grow linearly with sequence length. Particularly, the decoding phase conโ€ฆ

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Optimas: An Intelligent Analytics-Informed Generative AI Framework for Performance Optimization

Mohammad Zaeed, Tanzima Z. Islam, Vladimir Indic ยท 2026

Large language models (LLMs) show promise for automated code optimization. However, without performance context, they struggle to produce correct and effective code transformations. Existing performanโ€ฆ

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Similar Users-Augmented Interest Network

Xiaolong Chen, Haoyi Zhao, Xu Huang, Defu Lian ยท 2026

Click-through rate (CTR) prediction is one of the core tasks in recommender systems. User behavior sequences, as one of the most effective features, can accurately reflect user preferences and signifiโ€ฆ

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