Expertini Research Research

Browse Research Papers

12,552+ open-access research outputs.

✕ Clear
🔍 petr kuznetsov
Showing 12552 results for "petr kuznetsov"
AI & Data Science Preprint PDF DOI

SpecVQA: A Benchmark for Spectral Understanding and Visual Question Answering in Scientific Images

Jialu Shen, Han Lyu, Suyang Zhong, Hanzheng Li, Haoyi Tao, Nan Wang, Changhong Chen, Xi Fang · 2026

Spectra are a prevalent yet highly information-dense form of scientific imagery, presenting substantial challenges to multimodal large language models (MLLMs) due to their unstructured and domain-spec…

Read Paper →
AI & Data Science Preprint PDF DOI

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu, Owen Jiang, Yilun Zhao, Tiansheng Hu, Yiling Ma, Kaiyan Zhang, Manasi Patwardhan, Arman Cohan · 2026

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated me…

Read Paper →
Computer Science Preprint PDF DOI

Can We Volunteer Out of the Peer Review Crisis?

Theo Tang, Toby Handfield, Julian Garcia · 2026

The volume of scientific manuscripts is growing faster than the capacity to evaluate them, yet the institutions that govern peer review have remained largely unchanged. The result is a widening mismat…

Read Paper →
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 · 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 po…

Read Paper →
AI & Data Science Preprint PDF DOI

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

Gaurang Sharma, Juha Pajula, Aada Illikainen, Markus Rautell, Noora Lipsonen, Petri Alhainen, Mika Hilvo · 2026

Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient records,…

Read Paper →
AI & Data Science Preprint PDF DOI

Context as Prior: Bayesian-Inspired Intent Inference for Non-Speaking Agents with a Household Cat Testbed

Wenqian Zhang, Zehao Wang · 2026

Many agents in real-world environments cannot reliably communicate their goals through language, including household pets, pre-verbal infants, and other non-speaking embodied agents. In such settings,…

Read Paper →
AI & Data Science Preprint PDF DOI

Perturbation Probing: A Two-Pass-per-Prompt Diagnostic for FFN Behavioral Circuits in Aligned LLMs

Hongliang Liu, Tung-Ling Li, Yuhao Wu · 2026

Perturbation probing generates task-specific causal hypotheses for FFN neurons in large language models using two forward passes per prompt and no backpropagation, followed by a one-time intervention …

Read Paper →
Computer Science Preprint PDF DOI

End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric

Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi, S.R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan · 2026

Hyperledger Fabric (HLF) is a modular, permissioned blockchain widely adopted in enterprise settings. Enhancing its throughput and latency remains challenging, as optimization decisions made in one ph…

Read Paper →
AI & Data Science Preprint PDF DOI

Uncertainty-Aware Pedestrian Attribute Recognition via Evidential Deep Learning

Zhuofan Lou, Shihang Zhang, Fangle Zhu, Shengjie Ye, Pingyu Wang · 2026

We propose UAPAR, an Uncertainty-Aware Pedestrian Attribute Recognition framework. To the best of our knowledge, this is the first EDL-based uncertainty-aware framework for pedestrian attribute recogn…

Read Paper →
AI & Data Science Preprint PDF DOI

ViCrop-Det: Spatial Attention Entropy Guided Cropping for Training-Free Small-Object Detection

Hui Wang, Hongze Li, Wei Chen, Xiaojin Zhang · 2026

Transformer-based architectures have established a dominant paradigm in global semantic perception; however, they remain fundamentally constrained by the profound spatial heterogeneity inherent in nat…

Read Paper →
AI & Data Science Preprint PDF DOI

SynSur: An end-to-end generative pipeline for synthetic industrial surface defect generation and detection

Paul Julius Kuhn, Mika Pommeranz, Arjan Kuijper, Saptarshi Neil Sinha · 2026

The bottleneck in learning-based industrial defect detection is often limited not by model capacity, but by the scarcity of labeled defect data: defects are rare, annotations are expensive, and collec…

Read Paper →
AI & Data Science Preprint PDF DOI

SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts

Yuan Xin, Yixuan Weng, Minjun Zhu, Ying Ling, Chengwei Qin, Michael Hahn, Michael Backes, Yue Zhang, Linyi Yang · 2026

As Large Language Models (LLMs) are increasingly integrated into academic peer review, their vulnerability to adversarial prompts -- adversarial instructions embedded in submissions to manipulate outc…

Read Paper →
AI & Data Science Preprint PDF DOI

STLGT: A Scalable Trace-Based Linear Graph Transformer for Tail Latency Prediction in Microservices

Yongliang Ding, Qigong Bi, Peng Pu · 2026

Accurate end-to-end tail-latency forecasting is critical for proactive SLO management in microservice systems. However, modeling long-range dependency propagation and non-stationary, bursty workloads …

Read Paper →
Computer Science Preprint PDF DOI

Adaptive and AI-Augmented Security Testing: A Systematic Survey of Program Analysis, Feedback-Driven Testing, and Hybrid Learning-Based Approaches

Michael Wienczkowski · 2026

Modern software systems are increasingly developed within rapid continuous integration and deployment (CI/CD) pipelines, where ensuring security prior to release presents significant technical and org…

Read Paper →
Computer Science Preprint PDF DOI

LLM-Assisted Empirical Software Engineering: Systematic Literature Review and Research Agenda

Victoria Gomes, Delaney Selb, Fabio Palomba, Rodrigo Spinola, David Lo · 2026

Context: Empirical Software Engineering (ESE) faces increasing challenges due to data scale, methodological complexity, and reproducibility concerns. Large Language Models (LLMs) have emerged as promi…

Read Paper →
Computer Science Preprint PDF DOI

PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech

Venkata Pushpak Teja Menta · 2026

Standard text-to-speech (TTS) evaluation measures intelligibility (WER, CER) and overall naturalness (MOS, UTMOS) but does not quantify accent. A synthesiser may score well on all four yet sound non-n…

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

Making AI-Assisted Grant Evaluation Auditable without Exposing the Model

Kemal Bicakci · 2026

Public agencies are beginning to consider large language models (LLMs) as decision-support tools for grant evaluation. This creates a practical governance problem: the model and scoring rubric should …

Read Paper →
AI & Data Science Preprint PDF DOI

Leverage Laws: A Per-Task Framework for Human-Agent Collaboration

Stan Loosmore · 2026

We propose a per-task leverage ratio for human-agent collaboration: human work displaced by an agent, divided by the human time required to specify the task, resolve mid-run interrupts, and review the…

Read Paper →
AI & Data Science Preprint PDF DOI

BifDet: A 3D Bifurcation Detection Dataset for Airway-Tree Modeling

Ali Keshavarzi, Quentin Bouniot, Benjamin M. Smith, Elsa Angelini · 2026

Thoracic Computed Tomography (CT) scans offer detailed insights into the intricate branching network of the airway tree, which is essential for understanding various respiratory diseases. Airway bifur…

Read Paper →
Page 1 of 628 Next →