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🔍 alan inglis 📂 Computer Science
Showing 3059 results for "alan inglis" in Computer Science
Computer Science Preprint PDF DOI

Examining discontinuance of AI-mediated informal digital learning of English (AI-IDLE) among university students: Evidence from SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined university students' discontinuance intention towards AI-mediated informal digital learning of English (AI-IDLE). Drawing on the cognition-affect-conation framework, the study inve…

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Computer Science Preprint PDF DOI

Why Learners Drift In and Out: Examining Intermittent Discontinuance in AI-Mediated Informal Digital English Learning (AI-IDLE) Using SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined intermittent discontinuance in AI-mediated informal digital learning of English (AI-IDLE) through the cognition-affect-conation framework. Survey data were collected from 632 Chine…

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Computer Science Preprint PDF DOI

Cross-lingual Comparison of Research Funding Projects with Multilingual Sentence-BERT: Evidence from KAKENHI, NIH, NSF, and UKRI

Miki Kimura-Ida · 2026

Cross-national comparison of research funding projects is increasingly important for science policy and strategic planning, but language differences remain a major obstacle. In particular, KAKENHI pro…

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Computer Science Preprint PDF DOI

SAFEdit: Does Multi-Agent Decomposition Resolve the Reliability Challenges of Instructed Code Editing?

Noam Tarshish, Nofar Selouk, Daniel Hodisan, Bar Ezra Gafniel, Yuval Elovici, Asaf Shabtai, Eliya Nachmani · 2026

Instructed code editing is a significant challenge for large language models (LLMs). On the EditBench benchmark, 39 of 40 evaluated models obtain a task success rate (TSR) below 60 percent, highlighti…

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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

Author response to commentaries on H is for Human and How (Not) to Evaluate Qualitative Research in HCI

Andy Crabtree · 2026

This is the authors response to commentaries on the original article H is for Human and How (Not) to Evaluate Qualitative Research in HCI, https://doi.org/10.1080/07370024.2025.2475743 Commentaries we…

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Computer Science Preprint PDF DOI

Sensing-Assisted Secure Communication in MA-Aided ISAC: CRB Analysis and Robust Design

Yaxuan Chen, Guangchi Zhang, Miao Cui, Hao Fu, Qingqing Wu, Rui Zhang · 2026

A core challenge in physical-layer security is the difficulty of obtaining the channel state information (CSI) of potential eavesdroppers. The inherent sensing functionality of integrated sensing and …

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Computer Science Preprint PDF DOI

Lost in Decoding? Reproducing and Stress-Testing the Look-Ahead Prior in Generative Retrieval

Kidist Amde Mekonnen, Yongkang Li, Yubao Tang, Simon Lupart, Maarten de Rijke · 2026

Generative retrieval (GR) ranks documents by autoregressively generating document identifiers. Because many GR methods rely on trie-constrained beam search, they are vulnerable to early pruning of rel…

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Computer Science Preprint PDF DOI

An Undecidability Proof for the Plan Existence Problem

Antonis Achilleos · 2026

The plan existence problem asks, given a goal in the form of a formula in modal logic, an initial epistemic state (a pointed Kripke model), and a set of epistemic actions, whether there exists a seque…

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Computer Science Preprint PDF DOI

Citation-Driven Multi-View Training for Patent Embeddings: QaECTER and Sophia-Bench

Younes Djemmal, You Zuo (ALMAnaCH), Kim Gerdes (LISN, Qatent), Kirian Guiller · 2026

Patent retrieval underpins critical decisions in innovation, examination, and IP strategy, yet progress has been hampered by the absence of benchmarks that reflect the diversity of real world search s…

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Computer Science Preprint PDF DOI

A Brief History of Fr\'echet Distances: From Curves and Probability Laws to FID

Yuli Wu · 2026

This note provides a chronological account of Fr\'echet distances, starting with Maurice Fr\'echet's 1906 doctoral thesis on distances in abstract sets and tracing the Fr\'echet distance between polyg…

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Computer Science Preprint PDF DOI

Dialect vs Demographics: Quantifying LLM Bias from Implicit Linguistic Signals vs. Explicit User Profiles

Irti Haq, Belen Saldias · 2026

As state-of-the-art Large Language Models (LLMs) have become ubiquitous, ensuring equitable performance across diverse demographics is critical. However, it remains unclear whether these disparities a…

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Computer Science Preprint PDF DOI

Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation

Xuhong He, To Eun Kim, Maik Frobe, Jaime Arguello, Bhaskar Mitra, Fernando Diaz · 2026

Tip-of-the-Tongue (ToT) retrieval benchmarks have largely focused on English, limiting their applicability to multilingual information access. In this work, we construct multilingual ToT test collecti…

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Computer Science Preprint PDF DOI

Empowering Vocabulary Learning Through Teaching AI: Using LLMs as a Student to Perform Learning by Teaching in Vocabulary Acquisition

Tokio Uchida, Ko Watanabe, Andrew Vargo, Shoya Ishimaru, Ralph L. Rose, Ayaka Sugawara, Andreas Dengel, Koichi Kise · 2026

"Learning by Teaching (LbT)" helps learners deepen their understanding by explaining concepts to others, with questions playing a vital role in identifying knowledge gaps and reinforcing comprehension…

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Computer Science Preprint PDF DOI

The Effects of Request Alerts on the Diversity and Visibility of Community Notes

Yilin Gong, Siqi Wu · 2026

Several major social media platforms have shifted toward crowdsourced fact-checking systems like Community Notes to combat misinformation at scale. However, these systems face criticism regarding whic…

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Computer Science Preprint PDF DOI

NaijaS2ST: A Multi-Accent Benchmark for Speech-to-Speech Translation in Low-Resource Nigerian Languages

Marie Maltais, Yejin Jeon, Min Ma, Shamsuddeen Hassan Muhammad, Idris Abdulmumin, Maryam Ibrahim Mukhtar, Daud Abolade, Joel Okepefi, Johnson Sewedo, David Ifeoluwa Adelani · 2026

Speech translation for low-resource languages remains fundamentally limited by the scarcity of high-quality, diverse parallel speech data, a challenge that is especially pronounced in African linguist…

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Computer Science Preprint PDF DOI

NVBench: A Benchmark for Speech Synthesis with Non-Verbal Vocalizations

Liumeng Xue, Weizhen Bian, Jiahao Pan, Wenxuan Wang, Yilin Ren, Boyi Kang, Jingbin Hu, Ziyang Ma, Shuai Wang, Xinyuan Qian, Hung-yi Lee, Yike Guo · 2026

Non-verbal vocalizations (NVVs) like laugh, sigh, and sob are essential for human-like speech, yet standardized evaluation remains limited in jointly assessing whether systems can generate the intende…

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Computer Science Preprint PDF DOI

The Crutch or the Ceiling? How Different Generations of LLMs Shape EFL Student Writings

Hengky Susanto, David James Woo, Chingyi Yeung, Stephanie Wing Yan Lo-Philip, Chi Ho Yeung · 2026

The rapid evolution of Large Language Models (LLMs) has made them powerful tools for enhancing student writing. This study explores the extent and limitations of LLMs in assisting secondary-level Engl…

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Computer Science Preprint PDF DOI

STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing

Shen Fan, Miko{l}aj Kida, Przemyslaw Musialski · 2026

Many CAD learning pipelines discretize Boundary Representations (B-Reps) into triangle meshes, discarding analytic surface structure and topological adjacency and thereby weakening consistent instance…

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Computer Science Preprint PDF DOI

CollabCoder: Plan-Code Co-Evolution via Collaborative Decision-Making for Efficient Code Generation

Duy Tung Doan, Quang Huy Phung, Dzung Nguyen, Khac-Hoai Nam Bui · 2026

Automated code generation remains a persistent challenge in software engineering, as conventional multi-agent frameworks are often constrained by static planning, isolated execution, high computationa…

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