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๐Ÿ” computing methodologies ๐Ÿ“‚ Computer Science
Showing 33594 results for "computing methodologies" in Computer Science
Computer Science Preprint PDF DOI

Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy

Aman Mehta ยท 2026

As LLM-based AI agents are deployed in production systems, understanding their behavioral consistency (whether they produce similar action sequences when given identical tasks) becomes critical for reโ€ฆ

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Shortest Paths in Geodesic Unit-Disk Graphs

Bruce W. Brewer, Haitao Wang ยท 2026

Let $S$ be a set of $n$ points in a polygon $P$ with $m$ vertices. The geodesic unit-disk graph $G(S)$ induced by $S$ has vertex set $S$ and contains an edge between two vertices whenever their geodesโ€ฆ

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Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach

Daniel Benniah John ยท 2026

Efficient task scheduling in large-scale distributed systems presents significant challenges due to dynamic workloads, heterogeneous resources, and competing quality-of-service requirements. Traditionโ€ฆ

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Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini

Ruofei Du, Benjamin Hersh, David Li, Nels Numan, Xun Qian, Yanhe Chen, Zhongyi Zhou, Xingyue Chen, Jiahao Ren, Robert Timothy Bettridge, Xiang 'Anthony' Chen, Faraz Faruqi, Steve Toh, David Kim ยท 2026

While large language models (LLMs) have accelerated 2D software development through intent-driven "vibe coding", prototyping intelligent Extended Reality (XR) experiences remains a major challenge. Thโ€ฆ

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Comparing Developer and LLM Biases in Code Evaluation

Aditya Mittal, Ryan Shar, Zichu Wu, Shyam Agarwal, Tongshuang Wu, Chris Donahue, Ameet Talwalkar, Wayne Chi, Valerie Chen ยท 2026

As LLMs are increasingly used as judges in code applications, they should be evaluated in realistic interactive settings that capture partial context and ambiguous intent. We present TRACE (Tool for Rโ€ฆ

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Boosting LLMs for Mutation Generation

Bo Wang, Ming Deng, Mingda Chen, Chengran Yang, Youfang Lin, Mark Harman, Mike Papadakis, Jie M. Zhang ยท 2026

LLM-based mutation testing is a promising testing technology, but existing approaches typically rely on a fixed set of mutations as few-shot examples or none at all. This can result in generic low-quaโ€ฆ

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Novel models of computation from novel physical substrates: a bosonic example

Sampreet Kalita, Benjamin W. Butler, Susan Stepney, Viv Kendon ยท 2026

Unconventional physical computing is producing many novel and exotic devices that can potentially be used in a computational mode. Currently, these tend to be used to implement traditional models of cโ€ฆ

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IPsec based on Quantum Key Distribution: Adapting non-3GPP access to 5G Networks to the Quantum Era

Asier Atutxa, Ane Sanz, Eire Salegi, Gaizka Gonzalez, Jasone Astorga, Eduardo Jacob ยท 2026

The advent of quantum computing will pose great challenges to the current communication systems, requiring essential changes in the establishment of security associations in traditional architectures.โ€ฆ

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Exploring How Fair Model Representations Relate to Fair Recommendations

Bj{o}rnar Vass{o}y, Benjamin Kille, Helge Langseth ยท 2026

One of the many fairness definitions pursued in recent recommender system research targets mitigating demographic information encoded in model representations. Models optimized for this definition areโ€ฆ

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Efficient Equilibrium Computation in Symmetric First-Price Auctions

Aris Filos-Ratsikas, Yiannis Giannakopoulos, Alexandros Hollender, Charalampos Kokkalis ยท 2026

We study the complexity of computing Bayes-Nash equilibria in single-item first-price auctions. We present the first efficient algorithms for the problem, when the bidders' values for the item are indโ€ฆ

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Bridging Biological Hearing and Neuromorphic Computing: End-to-End Time-Domain Audio Signal Processing with Reservoir Computing

Rinku Sebastian, Simon O'Keefe, Martin Trefzer ยท 2026

Despite the advancements in cutting-edge technologies, audio signal processing continues to pose challenges and lacks the precision of a human speech processing system. To address these challenges, weโ€ฆ

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DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation

Jingzhi Fang, Xiong Gao, Renwei Zhang, Zichun Ye, Lei Chen, Jie Zhao, Chengnuo Huang, Hui Xu, Xuefeng Jin ยท 2026

Dynamism is common in AI computation, e.g., the dynamic tensor shapes and the dynamic control flows in models. Due to the long compilation time, existing runtime compilation damages the model efficienโ€ฆ

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Unanticipated Adversarial Robustness of Semantic Communication

Runxin Zhang, Yulin Shao, Hongyu An, Zhijin Qin, Kaibin Huang ยท 2026

Semantic communication, enabled by deep joint source-channel coding (DeepJSCC), is widely expected to inherit the vulnerability of deep learning to adversarial perturbations. This paper challenges thiโ€ฆ

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Forensic Implications of Localized AI: Artifact Analysis of Ollama, LM Studio, and llama.cpp

Shariq Murtuza ยท 2026

The proliferation of local Large Language Model (LLM) runners, such as Ollama, LM Studio and llama.cpp, presents a new challenge for digital forensics investigators. These tools enable users to deployโ€ฆ

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TRAJEVAL: Decomposing Code Agent Trajectories for Fine-Grained Diagnosis

Myeongsoo Kim, Dingmin Wang, Siwei Cui, Farima Farmahinifarahani, Shweta Garg, Baishakhi Ray, Terry Yue Zhuo, Rajdeep Mukherjee, Varun Kumar ยท 2026

Code agents can autonomously resolve GitHub issues, yet when they fail, current evaluation provides no visibility into where or why. Metrics such as Pass@1 collapse an entire execution into a single bโ€ฆ

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The Evolution of Decentralized Systems: From Gray's Framework to Blockchain and Beyond

Zhongli Dong, Young Choon Lee, Albert Y. Zomaya ยท 2026

Blockchain technology is often discussed as if it emerged from nowhere, yet its architectural DNA traces directly to the decentralized computing principles James~N. Gray articulated in 1986. This papeโ€ฆ

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Human, AI, and Hybrid Ensembles for Detection of Adaptive, RL-based Social Bots

Valerio La Gatta, Nathan Subrahmanian, Kaitlyn Wang, Larry Birnbaum, V.S. Subrahmanian ยท 2026

The use of reinforcement learning to dynamically adapt and evade detection is now well-documented in several cybersecurity settings including Covert Social Influence Operations (CSIOs), in which bots โ€ฆ

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Space Fabric: A Satellite-Enhanced Trusted Execution Architecture

Filip Rezabek, Dahlia Malkhi, Amir Yahalom ยท 2026

The emergence of decentralized satellite networks creates a pressing need for trust architectures that operate without physical access to hardware, without pre-provisioned vendor secrets, and without โ€ฆ

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Improved Local Computation Algorithms for Greedy Set Cover via Retroactive Updates

Slobodan Mitrovic, Srikkanth Ramachandran, Ronitt Rubinfeld, Mihir Singhal ยท 2026

In this work, we focus on designing an efficient Local Computation Algorithm (LCA) for the set cover problem, which is a core optimization task. The state-of-the-art LCA for computing $O(\log \Deltaโ€ฆ

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Artificial General Intelligence Forecasting and Scenario Analysis: State of the Field, Methodological Gaps, and Strategic Implications

Gopal P. Sarma, Sunny D. Bhatt, Michael Jacob, Rachel Steratore ยท 2026

In this report, we review the current state of methodologies to forecast the arrival of artificial general intelligence, assess their reliability, and analyze the implications for strategy and policy.โ€ฆ

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