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AI & Data Science Preprint PDF DOI

From Coarse to Fine: Benchmarking and Reward Modeling for Writing-Centric Generation Tasks

Qingyu Ren, Tianjun Pan, Xingzhou Chen, Xuhong Wang · 2026

Large language models have achieved remarkable progress in text generation but still struggle with generative writing tasks. In terms of evaluation, existing benchmarks evaluate writing reward models …

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AI & Data Science Preprint PDF DOI

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

Zehui Tang, Yuchen Liu, Feihu Huang · 2026

Federated learning (FL) is a popular distributed learning paradigm in machine learning, which enables multiple clients to collaboratively train models under the guidance of a server without exposing p…

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Computer Science Preprint PDF DOI

Predicting Upcoming Stuttering Events from Three-Second Audio: Stratified Evaluation Reveals Severity-Selective Precursors, and the Model Deploys Fully On-Device

Nazar Kozak · 2026

Audio-based stuttering systems to date have been trained for detection -- what disfluency is present now -- leaving prediction, the capability needed for closed-loop intervention, unstudied at deploya…

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AI & Data Science Preprint PDF DOI

BrainDINO: A Brain MRI Foundation Model for Generalizable Clinical Representation Learning

Yizhou Wu, Shansong Wang, Yuheng Li, Mojtaba Safari, Mingzhe Hu, Chih-Wei Chang, Harini Veeraraghavan, Xiaofeng Yang · 2026

Brain MRI underpins a wide range of neuroscientific and clinical applications, yet most learning-based methods remain task-specific and require substantial labeled data. Here we show that a single sel…

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Engineering Preprint PDF DOI

Learning Tactile-Aware Quadrupedal Loco-Manipulation Policies

Pokuang Zhou, Yuhao Zhou, Quan Luu, Seungho Han, Heng Zhang, Binghao Huang, Yunzhu Li, Arash Ajoudani, Zhengtong Xu, Yu She · 2026

Quadrupedal loco-manipulation is commonly built on visual perception and proprioception. Yet reliable contact-rich manipulation remains difficult: vision and proprioception alone cannot resolve uncert…

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AI & Data Science Preprint PDF DOI

Energy-Efficient Plant Monitoring via Knowledge Distillation

Ilyass Moummad, Reda Bensaid, Kawtar Zaher, Herve Goeau, Jean-Christophe Lombardo, Joseph Salmon, Pierre Bonnet, Alexis Joly · 2026

Recent advances in large-scale visual representation learning have significantly improved performance in plant species and plant disease recognition tasks. However, state-of-the-art models, often base…

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Physics Preprint PDF DOI

Structure-Aware Transformers for Learning Near-Optimal Trotter Orderings with System-Size Generalization in 1D Heisenberg Hamiltonians

Shamminuj Aktar, Reuben Tate, Stephan Eidenbenz · 2026

Trotterization is a standard approach for simulating quantum time evolution on quantum computers, where the Hamiltonian is split into local terms and each term is applied in sequence. The order of the…

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AI & Data Science Preprint PDF DOI

Better Models, Faster Training: Sigmoid Attention for single-cell Foundation Models

Vijay Sadashivaiah, Georgios Dasoulas, Judith Mueller, Soumya Ghosh · 2026

Training stable biological foundation models requires rethinking attention mechanisms: we find that using sigmoid attention as a drop in replacement for softmax attention a) produces better learned re…

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AI & Data Science Preprint PDF DOI

InterPartAbility: Text-Guided Part Matching for Interpretable Person Re-Identification

Shakeeb Murtaza, Aryan Shukla, Rajarshi Bhattacharya, Maguelonne Heritier, Eric Granger · 2026

Text-to-image person re-identification (TI-ReID) relies on natural-language text description to retrieve top matching individuals from a large gallery of images. While recent large vision-language mod…

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AI & Data Science Preprint PDF DOI

World2VLM: Distilling World Model Imagination into VLMs for Dynamic Spatial Reasoning

Wanyue Zhang, Wenxiang Wu, Wang Xu, Jiaxin Luo, Helu Zhi, Yibin Huang, Shuo Ren, Zitao Liu, Jiajun Zhang · 2026

Vision-language models (VLMs) have shown strong performance on static visual understanding, yet they still struggle with dynamic spatial reasoning that requires imagining how scenes evolve under egoce…

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Physics Preprint PDF DOI

Digital Simulation of Non-Hermitian Knotted Bands on Quantum Hardware

Truman Yu Ng, Yuzhu Wang, Wei Jie Chan, Ruizhe Shen, Tianqi Chen, Ching Hua Lee · 2026

Knots and links represent a fundamental motif of non-local connectivity that permeates the physical sciences from string theory to protein folds. While spectral braiding has been explored in two-band …

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AI & Data Science Preprint PDF DOI

ClawGym: A Scalable Framework for Building Effective Claw Agents

Fei Bai, Huatong Song, Shuang Sun, Daixuan Cheng, Yike Yang, Chuan Hao, Renyuan Li, Feng Chang, Yuan Wei, Ran Tao, Bryan Dai, Jian Yang, Wayne Xin Zhao · 2026

Claw-style environments support multi-step workflows over local files, tools, and persistent workspace states. However, scalable development around these environments remains constrained by the absenc…

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Engineering Preprint PDF DOI

Stochastic Entanglement of Deterministic Origami Tentacles For Universal Robotic Gripping

Alec Boron, Bokun Zheng, Ziyang Zhou, Noel Naughton, Suyi Li · 2026

Origami-inspired robotic grippers have shown promising potential for object manipulation tasks due to their compact volume and mechanical flexibility. However, robust capture of objects with random sh…

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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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AI & Data Science Preprint PDF DOI

Random Cloud: Finding Minimal Neural Architectures Without Training

Javier Gil Blazquez · 2026

I propose the \emph{Random Cloud} method, a training-free approach to neural architecture search that discovers minimal feedforward network topologies through stochastic exploration and progressive st…

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AI & Data Science Preprint PDF DOI

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

Ethan Harvey, Dennis Johan Loevlie, Amir Ali Satani, Wansu Chen, David M. Kent, Michael C. Hughes · 2026

Despite being resource-intensive to train, 3D convolutional neural networks (CNNs) have been the standard approach to classify CT and MRI scans. Recent work suggests that deep multiple instance learni…

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Engineering Preprint PDF DOI

FeatureFox: Sample-Efficient Panoptic Graph Segmentation for Machining Feature Recognition in B-Rep 3D-CAD Models

Bertram Fuchs, Altay Kacan, Aaron Haag, Oliver Lohse · 2026

Automatic feature recognition (AFR) on B-Rep 3D-CAD models is central to CAD/CAM automation, yet most learning-based methods are complex, data-hungry, and evaluate instance grouping and semantic label…

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AI & Data Science Preprint PDF DOI

Decoupling Knowledge and Task Subspaces for Composable Parametric Retrieval Augmented Generation

Weihang Su, Hanwen Zhang, Qingyao Ai, Yiqun Liu · 2026

Parametric Retrieval-Augmented Generation (PRAG) encodes external documents into lightweight parameter modules that can be retrieved and merged at inference time, offering a promising alternative to i…

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Physics Preprint PDF DOI

Dust enrichment from core-collapse supernovae and extinction curves in the high-redshift universe

Koki Otaki, Raffaella Schneider, Simone Bianchi, Joris Witstok, Luca Graziani, Marco Limongi, Roberto Maiolino · 2026

Recent JWST observations have revealed that some galaxies at $z \gtrsim 7$ generally exhibit relatively flat ultraviolet (UV) attenuation curves and a weak UV bump. These features suggest that the fir…

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AI & Data Science Preprint PDF DOI

FutureWorld: A Live Environment for Training Predictive Agents with Real-World Outcome Rewards

Zhixin Han, Yanzhi Zhang, Chuyang Wei, Maohang Gao, Xiawei Yue, Kefei Chen, Yu Zhuang, Haoxiang Guan, Jiyan He, Jian Li, Yitong Duan, Yu Shi, Mengting Hu, Shuxin Zheng · 2026

Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent systems, and it is …

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