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Computer Science Preprint PDF DOI

Taming Scope Extrusion in Gradual Imperative Metaprogramming

Tianyu Chen, Darshal Shetty, Jeremy G. Siek, Chao-Hong Chen, Weixi Ma, Arnaud Venet, Rocky Liu ยท 2026

Metaprogramming enables the generation of performant code, while gradual typing facilitates the smooth migration from untyped scripts to robust statically typed programs. However, combining these featโ€ฆ

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Placing Green Bridges Optimally for Robust Habitat Reconnection

Gero Ellmies, Till Fluschnik ยท 2026

We study the problem of robustly reconnecting habitats via the placement of green bridges at minimum total cost. Habitats are fragmented into patches and we seek to reconnect each habitat such that itโ€ฆ

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Hexagon-MLIR: An AI Compilation Stack For Qualcomm's Neural Processing Units (NPUs)

Mohammed Javed Absar, Muthu Baskaran, Abhikrant Sharma, Abhilash Bhandari, Ankit Aggarwal, Arun Rangasamy, Dibyendu Das, Fateme Hosseini, Franck Slama, Iulian Brumar, Jyotsna Verma, Krishnaprasad Bindumadhavan, Mitesh Kothari, Mohit Gupta, Ravishankar Kolachana, Richard Lethin, Samarth Narang, Sanjay Motilal Ladwa, Shalini Jain, Snigdha Suresh Dalvi, Tasmia Rahman, Venkat Rasagna Reddy Komatireddy, Vivek Vasudevbhai Pandya, Xiyue Shi, Zachary Zipper ยท 2026

In this paper, we present Hexagon-MLIR,an open-source compilation stack that targets Qualcomm Hexagon Neural Processing Unit (NPU) and provides unified support for lowering Triton kernels and PyTorch โ€ฆ

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DReX: An Explainable Deep Learning-based Multimodal Recommendation Framework

Adamya Shyam, Venkateswara Rao Kagita, Bharti Rana, Vikas Kumar ยท 2026

Multimodal recommender systems leverage diverse data sources, such as user interactions, content features, and contextual information, to address challenges like cold-start and data sparsity. However,โ€ฆ

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PuppetChat: Fostering Intimate Communication through Bidirectional Actions and Micronarratives

Emma Jiren Wang, Siying Hu, Zhicong Lu ยท 2026

As a primary channel for sustaining modern intimate relationships, instant messaging facilitates frequent connection across distances. However, today's tools often dilute care; they favor single tap rโ€ฆ

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Positioning Modular Co-Design in Future HRI Design Research

Lingyun Chen, Qing Xiao, Zitao Zhang, Eli Blevis, Selma Sabanovic ยท 2026

Design-oriented HRI is increasingly interested in robots as long-term companions, yet many designs still assume a fixed form and a stable set of functions. We present an ongoing design research prograโ€ฆ

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Evaluating the Reliability of Digital Forensic Evidence Discovered by Large Language Model: A Case Study

Jeel Piyushkumar Khatiwala, Daniel Kwaku Ntiamoah Addai, Weifeng Xu ยท 2026

The growing reliance on AI-identified digital evidence raises significant concerns about its reliability, particularly as large language models (LLMs) are increasingly integrated into forensic investiโ€ฆ

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Computational Complexity of Edge Coverage Problem for Constrained Control Flow Graphs

Jakub Ruszil, Artur Polanski, Adam Roman, Jakub Zelek ยท 2026

The article studies edge coverage for control flow graphs extended with explicit constraints. Achieving a given level of white-box coverage for a given code is a classic problem in software testing. Wโ€ฆ

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The Effectiveness of a Virtual Reality-Based Training Program for Improving Body Awareness in Children with Attention Deficit and Hyperactivity Disorder

Aya Abdelnaem El-Basha, Ebtsam ELSayed Mahmoud ELSayes, Ahmad Al-Kabbany ยท 2026

This study investigates the effectiveness of a Virtual Reality (VR)-based training program in improving body awareness among children with Attention Deficit Hyperactivity Disorder (ADHD). Utilizing a โ€ฆ

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WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval

Michael Dinzinger, Laura Caspari, Ali Salman, Irvin Topi, Jelena Mitrovic, Michael Granitzer ยท 2026

We introduce WebFAQ 2.0, a new version of the WebFAQ dataset, containing 198 million FAQ-based natural question-answer pairs across 108 languages. Compared to the previous version, it significantly exโ€ฆ

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Robustness and Reasoning Fidelity of Large Language Models in Long-Context Code Question Answering

Kishan Maharaj, Nandakishore Menon, Ashita Saxena, Srikanth Tamilselvam ยท 2026

Large language models (LLMs) increasingly assist software engineering tasks that require reasoning over long code contexts, yet their robustness under varying input conditions remains unclear. We condโ€ฆ

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Large-scale online deanonymization with LLMs

Simon Lermen, Daniel Paleka, Joshua Swanson, Michael Aerni, Nicholas Carlini, Florian Tramer ยท 2026

We show that large language models can be used to perform at-scale deanonymization. With full Internet access, our agent can re-identify Hacker News users and Anthropic Interviewer participants at higโ€ฆ

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Automated Extraction of Mechanical Constitutive Models from Scientific Literature using Large Language Models: Applications in Cultural Heritage Conservation

Rui Hu, Yue Wu, Tianhao Su, Yin Wang, Shunbo Hu, Jizhong Huang ยท 2026

The preservation of cultural heritage is increasingly transitioning towards data-driven predictive maintenance and "Digital Twin" construction. However, the mechanical constitutive models required forโ€ฆ

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Submodular Maximization under Supermodular Constraint: Greedy Guarantees

Ajitesh Srivastava, Shanghua Teng ยท 2026

Motivated by a wide range of applications in data mining and machine learning, we consider the problem of maximizing a submodular function subject to supermodular cost constraints. In contrast to the โ€ฆ

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The Compute ICE-AGE: Invariant Compute Envelope under Addressable Graph Evolution

Raymond Jay Martin II ยท 2026

This paper presents empirical results from a production-grade C++ implementation of a deterministic semantic state substrate derived from prior formal work on Bounded Local Generator Classes (Martin, โ€ฆ

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Proactive Conversational Assistant for a Procedural Manual Task based on Audio and IMU

Rehana Mahfuz, Yinyi Guo, Erik Visser, Phanidhar Chinchili ยท 2026

Real-time conversational assistants for procedural tasks often depend on video input, which can be computationally expensive and compromise user privacy. For the first time, we propose a real-time conโ€ฆ

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AI Sessions for Network-Exposed AI-as-a-Service

Mohaned Chraiti, Merve Saimler ยท 2026

Cloud-based Artificial Intelligence (AI) inference is increasingly latency- and context-sensitive, yet today's AI-as-a-Service is typically consumed as an application-chosen endpoint, leaving the netwโ€ฆ

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AI-Paging: Lease-Based Execution Anchoring for Network-Exposed AI-as-a-Service

Mohaned Chraiti, Merve Saimler ยท 2026

With AI-as-a-Service (AIaaS) now deployed across multiple providers and model tiers, selecting the appropriate model instance at run time is increasingly outside the end user's knowledge and operationโ€ฆ

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Sovereign Agents: Towards Infrastructural Sovereignty and Diffused Accountability in Decentralized AI

Botao Amber Hu, Helena Rong ยท 2026

AI agents deployed on decentralized infrastructures are beginning to exhibit properties that extend beyond autonomy toward what we describe as agentic sovereignty-the capacity of an operational agent โ€ฆ

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S-PRESSO: Ultra Low Bitrate Sound Effect Compression With Diffusion Autoencoders And Offline Quantization

Zineb Lahrichi (IP Paris, SonyAI), Gaetan Hadjeres (SonyAI), Gael Richard (IP Paris), Geoffroy Peeters (IP Paris) ยท 2026

Neural audio compression models have recently achieved extreme compression rates, enabling efficient latent generative modeling. Conversely, latent generative models have been applied to compression, โ€ฆ

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