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🔍 lei chen 📂 Computer Science
Showing 6986 results for "lei chen" in Computer Science
Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia · 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and …

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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Computer Science Preprint PDF DOI

NetSatBench: A Distributed LEO Constellation Emulator with an SRv6 Case Study

Andrea Detti, Shahram Dadras, Giuseppe Tropea · 2026

NetSatBench is a distributed emulation platform for evaluating communication protocols and application workloads over large-scale LEO satellite systems. Satellites, gateways, and user terminals are im…

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Computer Science Preprint PDF DOI

Line Segment Clipping using Quadrilateral Concavity and Convexity

Bimal Kumar Ray · 2026

This paper proposes an algorithm for clipping line segment against an axis-aligned rectangular window. The conventional algorithms for line segment clipping treat the clipping boundary and/or the line…

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Computer Science Preprint PDF DOI

Multi-Connectivity for UAVs: A Measurement Study of Integrating Cellular, Aerial Mesh, and LEO Satellite Links

Aygun Baltaci, Irshad A. Meer, Mustafa Ozger, Cicek Cavdar, Dominic Schupke · 2026

Future uncrewed aerial vehicle (UAV) systems increasingly combine heterogeneous communication technologies, such as low-latency aerial mesh, terrestrial cellular, and satellite links, to improve robus…

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Computer Science Preprint PDF DOI

New Diameter Approximations via Distance Oracle Techniques

Yael Kirkpatrick, Liam Roditty, Richard Qi, Virginia Vassilevska Williams · 2026

Computing the diameter of a graph is a problem of great interest both in general algorithms research and specifically within fine-grained complexity, where it is a cornerstone hard problem. Recent wor…

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Computer Science Preprint PDF DOI

When Model Editing Meets Service Evolution: A Knowledge-Update Perspective for Service Recommendation

Guodong Fan, Cuiyun Gao, Chun Yong Chong, Lu Zhang, Jing Li, Jinglin Zhang, Shizhan Chen · 2026

The rapid evolution of software services poses substantial challenges to the design and implementation of effective recommendation systems. Traditional service recommendation approaches often rely on …

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Computer Science Preprint PDF DOI

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models

Dongxin Guo, Jikun Wu, Siu Ming Yiu · 2026

Large reasoning models such as DeepSeek-R1 and OpenAI o1 generate extended chains of thought spanning thousands of tokens, yet their integration with retrieval-augmented generation (RAG) remains funda…

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Computer Science Preprint PDF DOI

Emotive Architectures: The Role of LLMs in Adjusting Work Environments

Lara Vartziotis, Tina Vartziotis, Frank Beutenmueller, Stella Salta, Konstantinos Moraitis, Miltiadis Katsaros, Sotirios Kotsopoulos · 2026

In remote and hybrid work contexts, the integration of physical and digital environments is revolutionizing spatial experiences, collaboration, and interpersonal interactions. This study examines thre…

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Computer Science Preprint PDF DOI

Fitting Horn DL Ontologies to ABox and Query Examples: A Tale of Simulation Quantifiers and Finite Models

Marvin Grosser, Carsten Lutz · 2026

We study the problem of fitting a description logic (DL) ontology to a given set of positive and negative examples that take the form of an ABox and a Boolean query. While previous work has investigat…

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Computer Science Preprint PDF DOI

Offline Evaluation Measures of Fairness in Recommender Systems

Theresia Veronika Rampisela · 2026

The evaluation of recommender system fairness has become increasingly important, especially with recent legislation that emphasises the development of fair and responsible artificial intelligence. Thi…

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Computer Science Preprint PDF DOI

When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation

Amal AKLI, Mike PAPADAKIS, Maxime CORDY, Yves Le TRAON · 2026

Large language models are increasingly used for code generation, yet the correctness of their outputs depends not only on model capability but also on how tasks are specified. Prior studies demonstrat…

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Computer Science Preprint PDF DOI

A Theory of Hanoi Omega-Automata and Games

Emmanuel Filiot, Allen Joseph, Guillermo A. Perez, Saina Sunny · 2026

The Hanoi Omega-Automata (HOA) format has established itself as the definitive standard for encoding $\omega$-regular automata in modern synthesis tools. While HOA is widely adopted due to its succinc…

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Computer Science Preprint PDF DOI

Constructive Separations from Gate Elimination

Marco Carmosino, Ngu Dang, Tim Jackman · 2026

Gate elimination is the primary technique for proving explicit lower bounds against general Boolean circuits, including Li and Yang's state-of-the-art $3.1n - o(n)$ bound for affine dispersers (STOC 2…

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Computer Science Preprint PDF DOI

When the Agent Is the Adversary: Architectural Requirements for Agentic AI Containment After the April 2026 Frontier Model Escape

Richard Joseph Mitchell · 2026

The April 2026 disclosure that a frontier large language model escaped its security sandbox, executed unauthorized actions, and concealed its modifications to version control history demonstrates that…

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Computer Science Preprint PDF DOI

AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report

Eduardo Oliveira, Michael Fu, Patanamon Thongtanunam, Sonsoles Lopez-Pernas, Mohammed Saqr · 2026

Code review is central to software engineering education but hard to scale in capstone projects due to tight deadlines, uneven peer feedback, and limited prior experience. We investigate an LLM-as-rev…

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Computer Science Preprint PDF DOI

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

Alexandre Marques, Beatriz Sa, Rui Botelho, Pedro Pinto · 2026

The use of Machine Learning (ML) for data-driven decision-making often relies on access to sensitive datasets, which introduces privacy challenges. Traditional encryption methods protect data at rest …

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Computer Science Preprint PDF DOI

How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study

Sanjana Gautam, Houjiang Liu, Yujin Choi, Matthew Lease · 2026

In the early stages of scientific research, researchers rely on core scholarly judgments to identify relevant literature, assess credible evidence, and determine which directions merit pursuit. As AI …

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Computer Science Preprint PDF DOI

Understanding teens' self-beliefs when learning to construct and deconstruct AI/ML systems: Developing a survey instrument

Luis Morales-Navarro, Deborah Fields, Michael T. Giang, Daniel J. Noh, Yasmin B. Kafai, Danae Metaxa · 2026

Despite growing calls to foster AI literacy, there are few available survey instruments designed for children and youth that study computational empowerment alongside construction and deconstruction a…

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Computer Science Preprint PDF DOI

Entrywise Low-Rank Approximation and Matrix $p \rightarrow q$ Norms via Global Correlation Rounding

Prashanti Anderson, Ainesh Bakshi, Samuel B. Hopkins · 2026

Given a matrix $A$, the goal of the entrywise low-rank approximation problem is to find $\operatorname{argmin} \|A-B\|_p$ over all rank-$k$ matrices $B$, where $\| \cdot \|_p$ is the entrywise $\ell_p…

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