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๐Ÿ” graceson mule ๐Ÿ“‚ Computer Science
Showing 2585 results for "graceson mule" in Computer Science
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 ยท 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 fโ€ฆ

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RuC: HDL-Agnostic Rule Completion Benchmark Generation

Arnau Ayguade Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez, Emanuele Parisi, Razine Moundir Ghorab, Miquel Moreto, Gokcen Kestor, Dario Garcia-Gasulla ยท 2026

Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking โ€ฆ

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Gender Bias in YouTube Exposure: Allocative and Structural Inequalities in Political Information Environments

Jipeng Tan, Weifeng Zhang, Ye Wu, Jialin Guo, Yong Min ยท 2026

Recommendation algorithms have become the dominant mechanism for information distribution on digital platforms, profoundly shaping personalized information consumption environments. However, gender biโ€ฆ

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Computer Science Preprint PDF DOI

Adopting State-of-the-Art Pretrained Audio Representations for Music Recommender Systems

Yan-Martin Tamm, Anna Aljanaki ยท 2026

Over the years, Music Information Retrieval (MIR) research community has released various models pretrained on large amounts of music data. Transfer learning showcases the proven effectiveness of pretโ€ฆ

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Approximating Energy-Constrained Drone Delivery Packing Problem for Last-Mile Logistics

Saswata Jana, Partha Sarathi Mandal ยท 2026

Collaboration between drones and trucks in a last-mile delivery system offers numerous benefits and reduces many challenges of the traditional delivery system. Here, we introduce Drone-Delivery Packinโ€ฆ

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Detecting Concept Drift in Evolving Malware Families Using Rule-Based Classifier Representations

Tomas Kalny, Martin Jurecek, Mark Stamp ยท 2026

This work proposes a structural approach to concept drift detection in malware classification using decision tree rulesets. Classifiers are trained across temporal windows on the EMBER2024 dataset, anโ€ฆ

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The Chase in Lean -- Crafting a Formal Library for Existential Rule Research

Lukas Gerlach ยท 2026

The chase is a sound, complete, but possibly non-terminating algorithm for reasoning with existential rules (aka. tuple-generating dependencies), a highly expressive knowledge representation language.โ€ฆ

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Fairness Audits of Institutional Risk Models in Deployed ML Pipelines

Kelly McConvey, Dipto Das, Maya Ghai, Angelina Zhai, Rosa Lee, Shion Guha ยท 2026

Fairness audits of institutional risk models are critical for understanding how deployed machine learning pipelines allocate resources. Drawing on multi-year collaboration with Centennial College, wheโ€ฆ

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Aligning Language Models for Lyric-to-Melody Generation with Rule-Based Musical Constraints

Hao Meng, Siyuan Zheng, Shuran Zhou, Qiangqiang Wang, Yang Song ยท 2026

Large Language Models (LLMs) show promise in lyric-to-melody generation, but models trained with Supervised Fine-Tuning (SFT) often produce musically implausible melodies with issues like poor rhythm โ€ฆ

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RealVuln: Benchmarking Rule-Based, General-Purpose LLM, and Security-Specialized Scanners on Real-World Code

John Pellew, Faizan Raza ยท 2026

How do security scanners perform on real-world code? We present RealVuln, the first open-source benchmark comparing Rule-Based SAST, General-Purpose LLMs, and Security-Specialized scanners on 26 intenโ€ฆ

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Model Capability Assessment and Safeguards for Biological Weaponization

Michael Richter ยท 2026

AI leaders and safety reports increasingly warn that advances in model reasoning may enable biological misuse, including by low-expertise users, while major labs describe safeguards as expanding but sโ€ฆ

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Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment

Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao, Xing Xie, Nancy F. Chen, Roy Ka-Wei Lee ยท 2026

Despite their global prevalence, many Large Language Models (LLMs) are aligned to a monolithic, often Western-centric set of values. This paper investigates the more challenging task of fine-grained vโ€ฆ

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From Context to Rules: Toward Unified Detection Rule Generation

Cheng Meng, Wenxin Le, Xinyi Li, Qiuyun Wang, Fangli Ren, Zhengwei Jiang, Baoxu Liu ยท 2026

Existing methods for detection rule generation are tightly coupled to specific input-output combinations, requiring dedicated pipelines for each. We formalize this problem as a unified mapping f:C*L->โ€ฆ

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HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation

Subham Raj, Aman Vaibhav Jha, Mayank Anand, Sriparna Saha ยท 2026

Conversational recommender systems (CRSs) operate under incremental preference revelation, requiring systems to make recommendation decisions under uncertainty. While recent approaches particularly thโ€ฆ

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SynQL: A Controllable and Scalable Rule-Based Framework for SQL Workload Synthesis for Performance Benchmarking

Kahan Mehta, Amit Mankodi ยท 2026

Database research and the development of learned query optimisers rely heavily on realistic SQL workloads. Acquiring real-world queries is increasingly difficult, however, due to strict privacy regulaโ€ฆ

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PRISM: Evaluating a Rule-Based, Scenario-Driven Social Media Privacy Education Program for Young Autistic Adults

Kirsten Chapman, Garrett Smith, Kaitlyn Klabacka, Joseph Thomas Bills, Addisyn Bushman, Terisa Gabrielsen, Pamela J Wisniewski, Xinru Page ยท 2026

Young autistic adults may garner benefits through social media but also disproportionately experience privacy harms. Prior research found that these harms often stem from perceiving the affordances ofโ€ฆ

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Energy-Efficient Drone Logistics for Last-Mile Delivery: Implications of Payload-Dependent Routing Strategies

Ziyue Li, Qianwen (Vivian) Guo, Paul Schonfeld ยท 2026

Drone delivery is rapidly emerging as a cost-effective and energy efficient alternative for last-mile delivery. Unlike ground vehicles, a drone's energy consumption depends on its payload in addition โ€ฆ

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ARuleCon: Agentic Security Rule Conversion

Ming Xu, Hongtai Wang, Yanpei Guo, Zhengmin Yu, Weili Han, Hoon Wei Lim, Jin Song Dong, Jiaheng Zhang ยท 2026

Security Information and Event Management (SIEM) systems make it possible for detecting intrusion anomalies in real-time manner by their applied security rules. However, the heterogeneity of vendor-spโ€ฆ

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Trust in AI among Middle Eastern CS Students: Investigating Students' Trust and Usage Patterns Across Saudi Arabia, Kuwait and Jordan

Saleh Alkhamees, Ali Alfageeh, Bader Alkhazi, Duaa Alshdaifat, Amin Alipour ยท 2026

Background and Context: Artificial intelligence (AI) tools have been reshaping computing and computer science education. Trust in AI is a determining factor in the adoption of these tools. Recent studโ€ฆ

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Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

Byeolhee Kim, Min-Kyung Kim, Young-Hak Kim, Tae-Joon Jeon ยท 2026

Retrieval-augmented generation (RAG) grounds large language models in external medical knowledge, yet standard retrievers frequently surface hard negatives that are semantically close to the query butโ€ฆ

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