Expertini Research Research

Browse Research Papers

11,661+ open-access research outputs.

โœ• Clear
๐Ÿ” alcohol drinking ๐Ÿ“‚ Computer Science
Showing 11661 results for "alcohol drinking" 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

Read Paper โ†’
Computer Science Preprint PDF DOI

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments

Kangyu Yuan, Guanzheng Chen, Sizhe Liang, Hehai Lin, Qingyu Guo, Dingdong Liu, Xiaojuan Ma, Zhenhui Peng ยท 2026

Critical news reading (CNR), which requires grasping the holistic ideas of and raising critical thoughts on the news, is beneficial yet challenging for general people who usually get information on daโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

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

Saber Zerhoudi ยท 2026

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

Read Paper โ†’
Computer Science Preprint PDF DOI

D-Rex : Diffusion Rendering for Relightable Expressive Avatars

Timo Teufel, Xilong Zhou, Umar Iqbal, Jan Kautz, Marc Habermann, Vladislav Golyanik, Christian Theobalt ยท 2026

We present D-Rex, a person-specific framework for photorealistic, relightable, expressive, and animatable full-body human avatars with free-viewpoint rendering. Existing methods for relightable full-bโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

Abidemi Kuburat Adedeji, Franklin Tchakounte, Sulaiman Oluwasegun Yusuff ยท 2026

Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young poโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

VOW: Verifiable and Oblivious Watermark Detection for Large Language Models

Xiaokun Luan, Yihao Zhang, Pengcheng Su, Feiran Lei, Meng Sun ยท 2026

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to reโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation

Ethan Bito, Yongli Ren, Estrid He ยท 2026

Large language models (LLMs) are increasingly used for recommendation reranking, but their listwise predictions can depend on the order in which candidates are presented. This creates a mismatch betweโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory, Dorothea Strecker ยท 2026

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these mโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking

Yilun Zhu, Nikhita Vedula, Shervin Malmasi ยท 2026

Entity search, i.e., finding the most similar entities to a query entity, faces unique challenges in e-commerce, where product similarity varies across categories and contexts. Traditional embedding-bโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A note on the parameter $\ell$ in Buchbinder--Feldman's deterministic submodular matroid algorithm

Shisheng Li ยท 2026

Buchbinder and Feldman recently gave a deterministic $(1-1/e-\varepsilon)$-approximation for maximizing a non-negative monotone submodular function subject to a matroid constraint, with query complexiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Profiles of AI Dependency: A Latent Class Analysis of Filipino Students' Academic Competencies

Emerson Q. Fernando, Julius Ceazar G. Tolentino, Maria Anna D. Cruz, Jordan L. Salenga, Vernon Grace M. Maniago, Juvy C. Grume, Erika M. Pineda, Aileen P. De Leon, John Paul P. Miranda ยท 2026

The increasing dependency among Filipino college students on artificial intelligence (AI) poses concerns about the potential decline of fundamental academic competencies. This study examines the extenโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

REBENCH: A Procedural, Fair-by-Construction Benchmark for LLMs on Stripped-Binary Types and Names (Extended Version)

Jun Yeon Won, Xin Jin, Shiqing Ma, Zhiqiang Lin ยท 2026

Large Language Models (LLMs) have achieved remarkable progress in recent years, driving their adoption across a wide range of domains, including computer security. In reverse engineering, LLMs are incโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

NuggetIndex: Governed Atomic Retrieval for Maintainable RAG

Saber Zerhoudi, Michael Granitzer, Jelena Mitrovic ยท 2026

Retrieval-augmented generation (RAG) systems are frequently evaluated via fact-based metrics, yet standard implementations retrieve passages or static propositions. This unit mismatch between evaluatiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation

Fangzheng Tian, Debasis Ganguly, Craig Macdonald ยท 2026

Query Performance Prediction (QPP) estimates the retrieval quality of ranking models without the use of any human-assessed relevance judgements, and finds applications in query-specific selective deciโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

LLM-Enhanced Topical Trend Detection at Snapchat

Hangqi Zhao, Jay Li, Abhiruchi Bhattacharya, Cong Ni, Jason Yeung, Jinchao Ye, Kai Yang, Akshat Malu, Manish Malik ยท 2026

Automatic detection of topical trends at scale is both challenging and essential for maintaining a dynamic content ecosystem on social media platforms. In this work, we present a large-scale system foโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

A Gated Hybrid Contrastive Collaborative Filtering Recommendation

Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Joel Machado Pires, Denis Dantas Boaventura, Maycon Maciel Peixoto, Cassio Serafim Prazeres, Gustavo Bittencourt Figueiredo, Miriam Capretz, Frederico Araujo Durao ยท 2026

Recommender systems increasingly incorporate textual reviews to enrich user and item representations. However, most review-aware models remain optimized for rating prediction rather than ranking qualiโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Low-Complexity Run-Length-Limited ISI-Mitigation (RLIM) Codes for Molecular Communication

Melih Sahin, Ozgur B. Akan ยท 2026

Molecular communication suffers from severe inter-symbol interference, which makes constrained coding essential for reliable transmission. Run-length-limited ISI-mitigation codes are attractive becausโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Persona-Based Process Design for Assistive Human-Robot Workplaces for Persons with Disabilities

Nils Mandischer, Daria Eckert and, Lars Mikelsons ยท 2026

Human-robot interaction is emerging as an important paradigm for integrating persons with disabilities into the workplace. While these systems can enable individuals to work, their design is mostly peโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation

Zhijun Li, Minghui Xu, Huayi Qi, Wenxuan Yu, Tingchuang Zhang, Qiao Zhang, GuangYong Shang, Zhen Ma, Xiuzhen Cheng ยท 2026

Retrieval-Augmented Generation (RAG) is essential for enhancing Large Language Models (LLMs) with external knowledge, but its reliance on cloud environments exposes sensitive data to privacy risks. Exโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

Wei Yang, Rui Zhong, Zihan Lin, Xiaodan Wang, Cheng Chen, Huan Ren, Yao Hu ยท 2026

Multimodal recommendation improves user modeling by integrating collaborative signals with heterogeneous item content. In real applications, user interests evolve over time and exhibit nonstationary dโ€ฆ

Read Paper โ†’
Page 1 of 584 Next โ†’