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Chemistry Preprint PDF DOI

Predicting Solvation Free Energies of Molecules and Ions via First-Principles and Machine-Learning Molecular Dynamics

Junting Yu, Shuo-Hui Li, Ding Pan ยท 2026

The solvation free energy (SFE) of molecules and ions is a fundamental property governing their solvation behavior and solubility. Molecular simulations offer a route to compute SFEs using alchemical โ€ฆ

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AI & Data Science Preprint PDF DOI

Reference-state System Reliability method for scalable uncertainty quantification of coherent systems

Ji-Eun Byun, Hyeuk Ryu, Junho Song ยท 2026

Coherent systems are representative of many practical applications, ranging from infrastructure networks to supply chains. Probabilistic evaluation of such systems remains challenging, however, becausโ€ฆ

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AI & Data Science Preprint PDF DOI

BasketHAR: A Multimodal Dataset for Human Activity Recognition and Sport Analysis in Basketball Training Scenarios

Xian Gao, Haoyue Zhang, Zongyun Zhang, Jiacheng Ruan, Ting Liu, Yuzhuo Fu ยท 2026

Human Activity Recognition (HAR) involves the automatic identification of user activities and has gained significant research interest due to its broad applicability. Most HAR systems rely on supervisโ€ฆ

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AI & Data Science Preprint PDF DOI

Jailbreaking Large Language Models with Morality Attacks

Ying Su, Mingen Zheng, Weili Diao, Haoran Li ยท 2026

Pluralism alignment with AI has the sophisticated and necessary goal of creating AI that can coexist with and serve morally multifaceted humanity. Research towards pluralism alignment has many effortsโ€ฆ

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Engineering Preprint PDF DOI

Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning

Kaixuan Chen, Linqi Ye ยท 2026

With the rapid development of embodied intelligence, robotics education faces a dual challenge: high computational barriers and cumbersome environment configuration. Existing centralized cloud simulatโ€ฆ

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Physics Preprint PDF DOI

Potential of Gaia XP Spectra in Red Giant Star Asteroseismology: A Deep-Learning Approach

Rajarshi Barman, Shatanik Bhattacharya, Shravan M. Hanasoge, Siddharth Dhanpal ยท 2026

Red giants are tracers of stellar evolution & Galactic structure & their asteroseismic properties, particularly large frequency separation, frequency of maximum oscillation power & dipole-mode period โ€ฆ

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Engineering Preprint PDF DOI

A Hybrid STFT-Based Machine Learning Framework for Physically Interpretable Arc Stability Classification in Electric Arc Welding Systems

Tahir Cetin Akinci, Gokhan Gokmen, Alfredo A. Martinez-Morales ยท 2026

This study presents a physically informed hybrid time-frequency and machine learning (STFT-ML) framework for arc stability monitoring in electric arc welding systems. The primary current signal is modโ€ฆ

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Engineering Preprint PDF DOI

Enabling Safety-Critical Wireless Communications via Safe Reinforcement Learning

Haoran Peng, Tong Wu, Hang Liu, Weijia Zheng, Ying-Jun Angela Zhang, Anna Scaglione ยท 2026

Ensuring strict safety guarantees is the paramount challenge for emerging 5G/6G wireless systems, particularly as they increasingly govern mission-critical applications ranging from autonomous UAV swaโ€ฆ

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Engineering Preprint PDF DOI

Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning

Victor Schmitt, Farzaneh Pourahmadi, Angela Flores-Quiroz, Pablo Apablaza, Pierluigi Mancarella ยท 2026

Transmission expansion planning (TEP) plays a critical role in ensuring power system reliability and facilitating the integration of renewable energy resources. However, this process requires plannersโ€ฆ

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AI & Data Science Preprint PDF DOI

LIVE: Leveraging Image Manipulation Priors for Instruction-based Video Editing

Weicheng Wang, Zhicheng Zhang, Zhongqi Zhang, Juncheng Zhou, Yongjie Zhu, Wenyu Qin, Meng Wang, Pengfei Wan, Jufeng Yang ยท 2026

Video editing aims to modify input videos according to user intent. Recently, end-to-end training methods have garnered widespread attention, constructing paired video editing data through video generโ€ฆ

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Computer Science Preprint PDF DOI

HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer

Zhipeng Wang, Boyang Yang, Yidong Wan, Liuye Guo, You Lv, Tao Zheng, Zhuowei Wang, Tieke He ยท 2026

Large Language Models (LLMs) perform well on automatic program repair (APR) for high-resource programming languages (HRPLs), but their effectiveness drops sharply in low-resource programming languagesโ€ฆ

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AI & Data Science Preprint PDF DOI

Towards Universal Skeleton-Based Action Recognition

Jidong Kuang, Hongsong Wang, Jie Gui ยท 2026

With the development of robotics, skeleton-based action recognition has become increasingly important, as human-robot interaction requires understanding the actions of humans and humanoid robots. Due โ€ฆ

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Engineering Preprint PDF DOI

Net Load Forecasting Using Machine Learning with Growing Renewable Power Capacity Features: A Comparative Study of Direct and Indirect Methods

Oluwafolajimi Samuel Bolusteve, Linhan Fang, Xingpeng Li ยท 2026

Renewable energy adoption has increased significantly over the past few years. However, with the increasing adoption of renewable energy, forecasting the net load has become a major challenge due to tโ€ฆ

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AI & Data Science Preprint PDF DOI

Small Model as Master Orchestrator: Learning Unified Agent-Tool Orchestration with Parallel Subtask Decomposition

Wenzhen Yuan, Wutao Xiong, Fanchen Yu, Shengji Tang, Ting Liu, Tao Chen, Peng Ye, Yuzhuo Fu, Wanli Ouyang, Lei Bai ยท 2026

Multi-agent systems (MAS) demonstrate clear advantages in tackling complex problems by coordinating diverse agents and external tools. However, most existing orchestration methods rely on static workfโ€ฆ

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AI & Data Science Preprint PDF DOI

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories

Yuxuan Ouyang, yingfeng luo, JingBo Zhu, Tong Xiao ยท 2026

Large Language Models (LLMs) are increasingly used to generate narrative content, including children's stories, which play an important role in social and cultural learning. Despite growing interest iโ€ฆ

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AI & Data Science Preprint PDF DOI

TeMuDance: Contrastive Alignment-Based Textual Control for Music-Driven Dance Generation

Xinran Liu, Diptesh Kanojia, Wenwu Wang, Zhenhua Feng ยท 2026

Existing music-driven dance generation approaches have achieved strong realism and effective audio-motion alignment. However, they generally lack semantic controllability, making it difficult to guideโ€ฆ

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Physics Preprint PDF DOI

Machine Learning Insights into Discrepancies Between Theoretical and Experimental Fission Barrier Heights

Kun Ratha Kean, Yoritaka Iwata ยท 2026

Accurate determination of nuclear fission barrier heights is essential for understanding nuclear stability, fission dynamics, and nucleosynthesis. However, theoretical models such as the Extended Thomโ€ฆ

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AI & Data Science Preprint PDF DOI

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models

Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao ยท 2026

Reinforcement learning (RL) has emerged as a promising paradigm for training reasoning-oriented models by leveraging rule-based reward signals. However, RL training typically tends to improve single-sโ€ฆ

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AI & Data Science Preprint PDF DOI

In-Context Learning Under Regime Change

Carson Dudley, Yutong Bi, Xiaofeng Liu, Samet Oymak ยท 2026

Non-stationary sequences arise naturally in control, forecasting, and decision-making. The data-generating process shifts at unknown times, and models must detect the change, discard or downweight obsโ€ฆ

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Medicine & Health Preprint PDF DOI

Light-Adapted Electroretinogram and Oscillatory Potentials (LEOPs) Dataset for Autism Spectrum Disorder and Typically Developing Individuals

Paul A. Constable, Dorothy A. Thompson, Irene O. Lee, Lynne Loh, Aleksei Zhdanov, Mikhail Kulyabin, Andreas Maier ยท 2026

The LEOPs (Light-ERG-Oscillatory Potentials) dataset provides light-adapted (LA) electroretinogram (ERG) and Oscillatory Potentials (OPs) waveforms for typically developing Control, Autism Spectrum Diโ€ฆ

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