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🔍 thomas romary 📂 Computer Science
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Computer Science Preprint PDF DOI

Average-Tree Phylogenetic Diversity Parameterized by Scanwidth and Invisibility

Leo van Iersel, Mark Jones, Jannik Schestag, Celine Scornavacca, Mathias Weller · 2026

We investigate parameterized algorithms for computing the average-tree phylogenetic diversity (APD) in rooted phylogenetic networks, studying the problem under different structural parameters that cap…

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Computer Science Preprint PDF DOI

How Code Representation Shapes False-Positive Dynamics in Cross-Language LLM Vulnerability Detection

Maofei Chen, Laifu Wang, Yue Qin, Yuan Wang, Bo Wu, Dongxin Liu · 2026

How code representation format shapes false positive behaviour in cross-language LLM vulnerability detection remains poorly understood. We systematically vary training intensity and code representatio…

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Computer Science Preprint PDF DOI

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

Abidemi Kuburat Adedeji, Franklin Tchakounte, Sulaiman Oluwasegun Yusuff · 2026

Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young po…

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Computer Science Preprint PDF DOI

Users' Activity Logs: the Good, the Bad, the Misconception, and the Disastrous

Eman Alashwali · 2026

Most service providers, such as Google, save logs from data generated by users while using the service. Many service providers provide users with privacy controls to manage whether, how, and for how l…

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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

Tracking Conversations: Measuring Content and Identity Exposure on AI Chatbots

Muhammad Jazlan, Ethan Wang, Yash Vekaria, Zubair Shafiq · 2026

AI chatbots are becoming a primary interface for seeking information. As their popularity grows, chatbot providers are starting to deploy advertising and analytics. Despite this, tracking on AI chatbo…

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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…

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Computer Science Preprint PDF DOI

One Size Fits All? An Empirical Comparison of ADR Templates regarding Comprehension, Usability, and Ease of Adoption

Fernando Nogueira, Nabson Silva, Tayana Conte · 2026

Context: Documenting Architectural Design Decisions (ADDs) is a critical factor in the software lifecycle, essential for efficient system maintenance, developer onboarding, and preventing knowledge va…

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Computer Science Preprint PDF DOI

Upskilling with Generative AI: Practices and Challenges for Freelance Knowledge Workers

Kashif Imteyaz, Isabel Lopez, Nakul Rajpal, Hunjun Shin, Saiph Savage · 2026

Freelance workers must continually acquire new skills to remain competitive in online labor markets, yet they lack the organizational training, mentorship, and infrastructure available to traditional …

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Computer Science Preprint PDF DOI

Revealing NVIDIA Closed-Source Driver Command Streams for CPU-GPU Runtime Behavior Insight

Yuang Yan, Ian Karlin, Ryan Grant · 2026

For NVIDIA GPUs, CUDA is the primary interface through which applications orchestrate GPU execution, yet much of the logic that realizes CUDA operations resides in NVIDIA's closed-source userspace dri…

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Computer Science Preprint PDF DOI

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda

Victoria Gomes, Delaney Selb, Fabio Palomba, Rodrigo Spinola, David Lo · 2026

Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) have emerged as promi…

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Computer Science Preprint PDF DOI

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding · 2026

All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneous platform. Even academic PIM/PNM proposals still …

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Computer Science Preprint PDF DOI

K-CARE: Knowledge-driven Symmetrical Contextual Anchoring and Analogical Prototype Reasoning for E-commerce Relevance

Chen Yifei, Tian Zhixing, Wang Chenyang, Cheng Ziguang · 2026

This paper targets e-commerce search relevance. While Large Language Models (LLMs) have demonstrated significant potential in this field, they often encounter performance bottlenecks in persistent 'co…

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Computer Science Preprint PDF DOI

Chorusing Synchronization Signals for Ambient 5G Backscatter

Yunyun Feng, Chenhong Cao, Si Chen, Wei Gong · 2026

5G backscatter communication presents an emerging energy-efficient IoT connectivity solution with enhanced availability and data rate advantages over traditional wireless networks. For 5G backscatter,…

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Computer Science Preprint PDF DOI

Multibit neural inference in a N-ary crossbar architecture

Anatole Moureaux, Anthony Lopes Temporao, Flavio Abreu Araujo · 2026

In-memory computing (IMC) enables energy-efficient neural network inference by computing analog matrix-vector multiplications (MVM) in memory crossbar arrays. In this work we present a simulation fram…

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Computer Science Preprint PDF DOI

An Empirical Analysis of Mobile Energy Consumption Across User Configurations

Wellington Oliveira · 2026

Mobile devices have become ubiquitous tools for communication, entertainment, and productivity, yet battery autonomy remains a constraint. While energy-saving tips exist, they are often generic, anecd…

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Computer Science Preprint PDF DOI

ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography

Yaofei Wang, Rui Wang, Weilong Pang, JiaLiang Han, Yuan Qi, Donghui Hu, Kejiang Chen · 2026

Generative linguistic steganography (GLS) enables covert communication by embedding secret messages into the natural language generation process. In practical deployment, however, GLS is vulnerable to…

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Computer Science Preprint PDF DOI

CUDA Kernel Optimization and Counter-Free Performance Analysis for Depthwise Convolution in Cloud Environments

Huriyeh Babak, Melanie Schaller · 2026

Efficient GPU execution of convolution operators is governed by memory-access efficiency, on-chip data reuse, and execution mapping rather than arithmetic throughput alone. This paper presents a contr…

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Computer Science Preprint PDF DOI

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 · 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 eng…

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Computer Science Preprint PDF DOI

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao, Yunqi Shi, Tian Xu, Peng Xie, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou · 2026

Chip placement is a critical step in physical design. While reinforcement learning (RL)-based methods have recently emerged, their training primarily focuses on wirelength optimization, and therefore …

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