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๐Ÿ” falk eilenberger ๐Ÿ“‚ Computer Science
Showing 3373 results for "falk eilenberger" in Computer Science
Computer Science Preprint PDF DOI

Crab: A Semantics-Aware Checkpoint/Restore Runtime for Agent Sandboxes

Tianyuan Wu, Chaokun Chang, Lunxi Cao, Wei Gao, Wei Wang ยท 2026

Autonomous agents act through sandboxed containers and microVMs whose state spans filesystems, processes, and runtime artifacts. Checkpoint and restore (C/R) of this state is needed for fault tolerancโ€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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Temporal Routing in Static Networks: The Schedule Completion Problem

Michelle Doring, Niklas Mohrin, George Skretas ยท 2026

We introduce the TemporallyEdgeDisjointScheduleCompletion (TEDSC) problem in which we need to cover a set of temporal edge demands $D$ by routing $k$ temporal walks through a directed static graph whiโ€ฆ

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Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner ยท 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, benโ€ฆ

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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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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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SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

Noam Tarshish, Nofar Selouk, Daniel Hodisan, Bar Ezra Gafniel, Yuval Elovici, Asaf Shabtai, Eliya Nachmani ยท 2026

Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60 percent, highlightiโ€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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Computer Science Preprint PDF DOI

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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From Stateless Queries to Autonomous Actions: A Layered Security Framework for Agentic AI Systems

Kexin Chu ยท 2026

Agentic AI systems face security challenges that stateless large language models do not. They plan across extended horizons, maintain persistent memory, invoke external tools, and coordinate with peerโ€ฆ

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Institutionalizing Best Practices in Research Computing: A Framework and Case Study for Improving User Onboarding

Ayush Chaturvedi, Rob Pokorney, Elyn Fritz-Waters, Charlotte Rouse, Gary Bax, Daryl Spencer, Craig Pohl ยท 2026

Research computing centers around the world struggle with onboarding new users. Subject matter experts, researchers, and principal investigators are often overwhelmed by the complex infrastructure andโ€ฆ

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Computer Science Preprint PDF DOI

FASER: Fine-Grained Phase Management for Speculative Decoding in Dynamic LLM Serving

Wenyan Chen, Chengzhi Lu, Yanying Lin, Dmitrii Ustiugov ยท 2026

Speculative decoding (SD) is a widely used approach for accelerating decode-heavy LLM inference workloads. While online inference workloads are highly dynamic, existing SD systems are rigid and take aโ€ฆ

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AktivTalk: Digitizing the Talk Test for Voice-Based Exercise Intensity Self-Assessment and Exploring Automated Classification from Speech

Rania Islambouli, Laura Geiger, Daniela Wurhofer, Devender Kumar, Clemens Sauerwein, Jan David Smeddinck ยท 2026

Monitoring exercise intensity is critical for safe and effective physical activity, particularly for individuals with cardiovascular disease, where overexertion can pose serious risks. Although physioโ€ฆ

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Computer Science Preprint PDF DOI

Writing Blog Posts Helps Students Connect Experiential Learning to the Workplace

Utsab Saha, Lola Egherman, Ramiz Rahman, Mohd Toukir Khan, Kevin Wang, Tyler Menezes ยท 2026

Undergraduates in work-based learning experiences often produce meaningful contributions as viewed by their supervisors, yet report a negative perception of their contributions because they struggled โ€ฆ

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Document-as-Image Representations Fall Short for Scientific Retrieval

Ghazal Khalighinejad, Raghuveer Thirukovalluru, Alexander H. Oh, Bhuwan Dhingra ยท 2026

Many recent document embedding models are trained on document-as-image representations, embedding rendered pages as images rather than the underlying source. Meanwhile, existing benchmarks for scientiโ€ฆ

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Computer Science Preprint PDF DOI

Homogeneous Network Caching is Fixed-Parameter Tractable Parameterized by the Number of Caches

Jozsef Pinter, Regina Stangl ยท 2026

Network caching asks how to place contents in distributed caches so that future requests are served close to their users. Ganian, Mc Inerney and Tsigkari recently initiated the parameterized-complexitโ€ฆ

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QUACK! Making the (Rubber) Ducky Talk: A Systematic Study of Keystroke Dynamics for HID Injection Detection

Alessandro Lotto, Francesco Marchiori, Mauro Conti ยท 2026

Modern computing systems inherently trust human input devices, creating an exploitable attack surface for adversarial automation. USB Human Interface Device (HID) emulation attacks, such as those enabโ€ฆ

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Data Engineering Patterns for Cross-System Reconciliation in Regulated Enterprises: Architecture, Anomaly Detection, and Governance

Zhijun Qiu ยท 2026

Regulated enterprises in the United States -- banks, telecommunications providers, large technology companies -- operate across heterogeneous systems that were rarely designed to interoperate. ERP plaโ€ฆ

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Does the TalkMoves Codebook Generalize to One-on-One Tutoring and Multimodal Interaction?

Corina Luca Focsan, Marie Cynthia Abijuru Kamikazi, Tamisha Thompson, Jennifer St. John, Kirk Vanacore, Danielle R. Thomas, Kenneth R. Koedinger, Rene F. Kizilcec ยท 2026

Accountable Talk theory has been widely adopted to analyze classroom discourse and is increasingly used to annotate tutoring interactions. In particular, the TalkMoves codebook, grounded in Accountablโ€ฆ

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Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation

Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun ยท 2026

The increase in data volume, computational resources, and model parameters during training has led to the development of numerous large-scale industrial retrieval models for recommendation tasks. Howeโ€ฆ

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