Expertini Research Research

Browse Research Papers

19,343+ open-access research outputs.

โœ• Clear
๐Ÿ” rui li
Showing 19343 results for "rui li"
Physics Preprint PDF DOI

A nanoionic diode: Equilibrium rectifying junction enabling large and stable resistance variations

Chuanlian Xiao, Joachim Maier ยท 2026

We report on a new type of rectifier which is in full contact equilibrium and thus, if down-sized to the nanoscale, shows no drift even if exposed to elevated temperatures and/or extreme waiting timesโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Exploring Interaction Paradigms for LLM Agents in Scientific Visualization

Jackson Vonderhorst, Kuangshi Ai, Haichao Miao, Shusen Liu, Chaoli Wang ยท 2026

This paper examines how different types of large language model (LLM) agents perform on scientific visualization (SciVis) tasks, where users generate visualization workflows from natural-language instโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

On Higher-Order Probabilistic Verification via the Weighted Relational Model of Linear Logic

Ugo Dal Lago, Guido Fiorillo, Paolo Pistone ยท 2026

The problem of determining whether a probabilistic program terminates almost surely (i.e.~with probability one) is undecidable, and actually $\Pi^0_2$-complete. For this reason, a growing literature hโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

FineState-Bench: Benchmarking State-Conditioned Grounding for Fine-grained GUI State Setting

Fengxian Ji, Jingpu Yang, Zirui Song, Yuanxi Wang, Zhexuan Cui, Yuke Li, Qian Jiang, Xiuying Chen ยท 2026

Despite the rapid progress of large vision-language models (LVLMs), fine-grained, state-conditioned GUI interaction remains challenging. Current evaluations offer limited coverage, imprecise target-stโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

GUI Agents with Reinforcement Learning: Toward Digital Inhabitants

Junan Hu, Jian Liu, Jingxiang Lai, Jiarui Hu, Yiwei Sheng, Shuang Chen, Jian Li, Dazhao Du, Song Guo ยท 2026

Graphical User Interface (GUI) agents have emerged as a promising paradigm for intelligent systems that perceive and interact with graphical interfaces visually. Yet supervised fine-tuning alone cannoโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

RuC: HDL-Agnostic Rule Completion Benchmark Generation

Arnau Ayguade Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez, Emanuele Parisi, Razine Moundir Ghorab, Miquel Moreto, Gokcen Kestor, Dario Garcia-Gasulla ยท 2026

Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking โ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

WindowsWorld: A Process-Centric Benchmark of Autonomous GUI Agents in Professional Cross-Application Environments

Jinchao Li, Yunxin Li, Chenrui Zhao, Zhenran Xu, Baotian Hu, Min Zhang ยท 2026

While GUI agents have shown impressive capabilities in common computer-use tasks such as OSWorld, current benchmarks mainly focus on isolated and single-application tasks. This overlooks a critical reโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Response to the $^7_\Lambda$He interpretation of MAMI's recent determination of $B_\Lambda(^3_\Lambda$H)

Ryoko Kino, Patrick Achenbach, Pascal Klag, Sho Nagao, Satoshi N. Nakamura, Kotaro Nishi, Josef Pochodzalla, Tianhao Shao (on behalf of the A1 Collaboration) ยท 2026

We respond to the recent suggestion by A. Gal [arXiv:2604.18259] that the sharp pion-momentum peak at $p_{\pi^-} \approx 113.8$~MeV/$c$ observed in our $^7\mathrm{Li}(e,e^\prime K^+)$ electroproductioโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Connected Dependability Cage: Run-Time Function and Anomaly Monitoring for the Development and Operation of Safe Automated Vehicles

Iqra Aslam, Nour Habib, Abhishek Buragohain, Meng Zhang, Andreas Rausch, Vaibhav Tiwari, Mohamed Benchat ยท 2026

The advancement of automated vehicles introduces complex safety challenges, particularly in dynamic and unpredictable environments where AI-enabled perception systems must operate reliably. Ensuring cโ€ฆ

Read Paper โ†’
Mathematics Preprint PDF DOI

Structural description of (bull, house)-free graphs

Manoj Belavadi, Chinh T. Hoang ยท 2026

The bull is a graph consisting of a triangle and two pendant edges. The P_5 is the chordless path on five vertices. The house is the complement of a P_5. A graph is k-critical if it is k-chromatic butโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation

Jon-Paul Cacioli ยท 2026

We adapted the Reliable Change Index (RCI; Jacobson and Truax, 1991) from clinical psychology to item-level LLM version comparison on 2,000 MMLU-Pro items (K=10 samples at T=0.7). Two within-family paโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

When Roles Fail: Epistemic Constraints on Advocate Role Fidelity in LLM-Based Political Statement Analysis

Juergen Dietrich ยท 2026

Democratic discourse analysis systems increasingly rely on multi-agent LLM pipelines in which distinct evaluator models are assigned adversarial roles to generate structured, multi-perspective assessmโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Step-level Optimization for Efficient Computer-use Agents

Jinbiao Wei, Kangqi Ni, Yilun Zhao, Guo Gan, Arman Cohan ยท 2026

Computer-use agents provide a promising path toward general software automation because they can interact directly with arbitrary graphical user interfaces instead of relying on brittle, application-sโ€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†’
Engineering Preprint PDF DOI

A Two Stage Pipeline for Left Atrial Wall Constrained Scar Segmentation and Localization from LGE-MR Images

Bipasha Kundu, Cristian Linte ยท 2026

Accurate segmentation and localization of left atrial (LA) ablation scars from Late gadolinium enhancement (LGE)-MRI is essential for assessing the lesion completeness and guiding ablation therapy. Inโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

Think it, Run it: Autonomous ML pipeline generation via self-healing multi-agent AI

Adela Bara, Gabriela Dobrita, Simona-Vasilica Oprea ยท 2026

The purpose of our paper is to develop a unified multi-agent architecture that automates end-to-end machine learning (ML) pipeline generation from datasets and natural-language (NL) goals, improving eโ€ฆ

Read Paper โ†’
Computer Science Preprint PDF DOI

Hot Fixing in the Wild

Carol Hanna, Karine Even-Mendoza, W.B. Langdon, Mar Zamorano Lopez, Justyna Petke, Federica Sarro ยท 2026

Despite the operational importance of hot fixes, large-scale evidence on how they reshape routine maintenance workflows, particularly in the era of autonomous coding agents, remains limited. We analysโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Bayesian component separation and power spectrum estimation for 21 cm intensity mapping data cubes

Geoff G. Murphy, Philip Bull, Mario G. Santos, Zheng Zhang, Steven Cunnington ยท 2026

Foreground removal remains an ongoing challenge in radio cosmology, and increasingly sensitive experiments necessitate more robust analysis techniques. In this work, we model simulated data from a sinโ€ฆ

Read Paper โ†’
Physics Preprint PDF DOI

Bayesian power spectrum estimation with modelling of systematic effects in delay-fringe rate space

Sohini Dutta, Philip Bull, Jacob Burba, Michael J. Wilensky, Zheng Zhang, Ainulnabilah Nasirudin ยท 2026

Observing the Epoch of Reionisation using 21cm radio interferometry has proven to be a challenging task. Extraction of the extremely faint redshifted signal is complicated by the presence of bright foโ€ฆ

Read Paper โ†’
AI & Data Science Preprint PDF DOI

KAYRA: A Microservice Architecture for AI-Assisted Karyotyping with Cloud and On-Premise Deployment

Attila Pinter, Javier Rico, Attila Repai, Jalal Al-Afandi, Adrienn Eva Borsy, Andras Kozma, Hajnalka Andrikovics, Gyorgy Cserey ยท 2026

We present KAYRA, an end-to-end karyotyping system that operates inside the operational constraints of a clinical cytogenetic laboratory. KAYRA is architected as a containerized microservice pipeline โ€ฆ

Read Paper โ†’
Page 1 of 968 Next โ†’