Expertini Research Research

Browse Research Papers

2,761+ open-access research outputs.

✕ Clear
🔍 aylin alin 📂 Computer Science
Showing 2761 results for "aylin alin" in Computer Science
Computer Science Preprint PDF DOI

Social Media Data Toolkit: Standardization and Anonymization of Social Network Datasets

Ali Najafi, Letizia Iannucci, Mikko Kivela, Onur Varol · 2026

The rapid diversification of social media platforms and the increasing restrictions on official APIs have significantly complicated cross-platform analysis. Researchers are often forced to rely on het…

Read Paper →
Computer Science Preprint PDF DOI

Empire Amplifier: Uncovering and Contesting the Prioritization of Colonial Content on Platforms Through Community-Informed Algorithmic Auditing

Nel Escher, Bakyt Yrysov, Ashley McDermott, Daniel Chechelnitsky, Hermela Berehan Benyam, Nikola Banovic · 2026

Though online platforms claim to amplify Indigenous voices, Indigenous communities are worried that these systems are instead eroding their language and culture. We conduct a community-informed algori…

Read Paper →
Computer Science Preprint PDF DOI

What Influences Readers' and Writers' Perceived Necessity of AI Disclosure?

Jingchao Fang, Victoria Xiaohan Wen, Mina Lee · 2026

The growing capability of artificial intelligence (AI) leads to its increasing adoption in writing, spurring discussions around whether writers should disclose their AI use in writing. What influences…

Read Paper →
Computer Science Preprint PDF DOI

PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search

Yunjun Gao, Chuangyu Ouyang, Congcong Ge, Yifan Zhu · 2026

Pivot tables are ubiquitous in data lakes of modern data ecosystems, making accurate schema matching over pivot tables a key prerequisite for data integration. In this paper, we focus on matching for …

Read Paper →
Computer Science Preprint PDF DOI

StreamGuard: Exploring a 5G Architecture for Efficient, Quality of Experience-Aware Video Conferencing

Xuyang Cao, Oliver Michel, Kyle Jamieson · 2026

Video conferencing over 5G is increasingly prevalent, yet its Quality of Experience (QoE) often degrades under limited radio resources. This has two causes: 5G networks must serve many users, while in…

Read Paper →
Computer Science Preprint PDF DOI

Exploring the Feasibility and Acceptability of AI-Mediated Serious Illness Conversations in the Emergency Department

Hasibur Rahman, Kenji Numata, Evelyn T Lai, Maria Cheriyan, Adrian Haimovich, Kei Ouchi, Smit Desai · 2026

Serious illness conversations (SICs) align care with patients' values, goals, and preferences, yet they rarely occur in emergency departments (EDs), where time constraints and emotional burden often l…

Read Paper →
Computer Science Preprint PDF DOI

The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium

Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke · 2026

Fair re-ranking aims to promote long-tail items and enhance diversity within groups in information retrieval. While previous research on online fairness-aware re-ranking has shown promising outcomes, …

Read Paper →
Computer Science Preprint PDF DOI

Medoid Prototype Alignment for Cross-Plant Unknown Attack Detection in Industrial Control Systems

Luyao Wang · 2026

Deploying an intrusion detector trained in one industrial plant to another remains difficult because Industrial Control System (ICS) traffic is highly site-dependent, labels are scarce, and unseen att…

Read Paper →
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…

Read Paper →
Computer Science Preprint PDF DOI

Geometric Analysis of Self-Supervised Vision Representations for Semantic Image Retrieval

Esteban Rodriguez-Betancourt, Edgar Casasola-Murillo · 2026

Content-based image retrieval (CBIR) systems enable users to search images based on visual content instead of relying on metadata. The text domain has benefited from vector search of representations c…

Read Paper →
Computer Science Preprint PDF DOI

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers

Benjamin Minhao Chen, Xinyu Xie · 2026

The quest to align machine behavior with human values raises fundamental questions about the moral frameworks that should govern AI decision-making. Much alignment research assumes that the appropriat…

Read Paper →
Computer Science Preprint PDF DOI

MUSIC: Learning Muscle-Driven Dexterous Hand Control

Pei Xu, Yufei Ye, Shuchun Sun, Yu Ding, Elizabeth Schumann, C. Karen Liu · 2026

We present a data-driven approach for physics-based, muscle-driven dexterous control that enables musculoskeletal hands to perform precise piano playing for novel pieces of music outside the reference…

Read Paper →
Computer Science Preprint PDF DOI

Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds

Francesca Gomez, Matthew Ball, Michael Harre, Lydia Preston, Josephine Schwab, Caio Machado · 2026

AI incident reporting requirements are emerging in regulation and policy, yet no operational criteria exist for determining when a detected AI incident warrants escalation beyond national handling to …

Read Paper →
Computer Science Preprint PDF DOI

What People See (and Miss) About Generative AI Risks: Perceptions of Failures, Risks, and Who Should Address Them

Megan Li, Wendy Bickersteth, Ningjing Tang, Parv Kapoor, Khinezin Win, Peter Zhong, Jason I. Hong, Lorrie Faith Cranor, Hoda Heidari, Hong Shen · 2026

Despite growing concerns about the risks of Generative AI (GenAI), there is limited understanding of public perceptions of these risks and their associated failure modes -- defined as recurring patter…

Read Paper →
Computer Science Preprint PDF DOI

Objective Shaping with Hard Negatives: Windowed Partial AUC Optimization for RL-based LLM Recommenders

Wentao Shi, Qifan Wang, Chen Chen, Fei Liu, Dongfang Liu, Xu Liu, Wanli Ma, Junfeng Pan, Linhong Zhu, Fuli Feng · 2026

Reinforcement learning (RL) effectively optimizes Large Language Model (LLM)-based recommenders by contrasting positive and negative items. Empirically, training with beam-search negatives consistentl…

Read Paper →
Computer Science Preprint PDF DOI

Large Language Model Counterarguments in Older Adults: Cognitive Offloading or Vulnerability to Moral Persuasion?

Kou Tamura, Sayaka Ishibashi, Ayana Goma, Kenta Yamamoto, Kouhei Masumoto · 2026

This study examined whether counterarguments generated by large language models (LLMs) influence the moral judgments of younger and older adults and whether these effects vary as a function of dilemma…

Read Paper →
Computer Science Preprint PDF DOI

Transformer-Based Rhythm Quantization of Performance MIDI Using Beat Annotations

Maximilian Wachter, Sebastian Murgul, Michael Heizmann · 2026

Rhythm transcription is a key subtask of notation-level Automatic Music Transcription (AMT). While deep learning models have been extensively used for detecting the metrical grid in audio and MIDI per…

Read Paper →
Computer Science Preprint PDF DOI

A Systematic AI Adoption Framework for Higher Education: From Student GenAI Usage to Institutional Integration

Michael Neumann, Lasse Bischof, Maria Rauschenberger, Eva-Maria Schon · 2026

The rapid development of GenAI technologies is transforming learning, assessment, and academic production in higher education. Despite increasing student adoption, many institutions lack operational m…

Read Paper →
Computer Science Preprint PDF DOI

Generalizing Test Cases for Comprehensive Test Scenario Coverage

Binhang Qi, Yun Lin, Xinyi Weng, Chenyan Liu, Hailong Sun, Gordon Fraser, Jin Song Dong · 2026

Test cases are essential for software development and maintenance. In practice, developers derive multiple test cases from an implicit pattern based on their understanding of requirements and inferenc…

Read Paper →
Computer Science Preprint PDF DOI

StyleID: A Perception-Aware Dataset and Metric for Stylization-Agnostic Facial Identity Recognition

Kwan Yun, Changmin Lee, Ayeong Jeong, Youngseo Kim, Seungmi Lee, Junyong Noh · 2026

Creative face stylization aims to render portraits in diverse visual idioms such as cartoons, sketches, and paintings while retaining recognizable identity. However, current identity encoders, which a…

Read Paper →
Page 1 of 139 Next →