Trending research and the full catalog - each paper linked to the benchmarks, methods, and models it introduces.
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26 Mar 2026
Multimodal Large Language Models (MLLMs) have shown impressive abilities in understanding and reasoning over conventional images. However, their perception of 360° images remains largely underexplored.
Vasily Ilin, Jingwei Hu · 26 Mar 2026
Score-based transport modeling replaces traditional blob methods in plasma simulations, offering improved accuracy and efficiency for solving the Vlasov-Maxwell-Landau system.
Mu Xu, Feng Xiong, Shuang Zeng · 24 Mar 2026
ABot-PhysWorld is a 14B Diffusion Transformer model that generates physically plausible videos through physics-aware training and evaluation on a new benchmark.
Saswata Bose, Suvadeep Maiti, Shivam Kumar Sharma · 24 Mar 2026
Accurate sleep staging is essential for diagnosing OSA and hypopnea in stroke patients. Although PSG is reliable, it is costly, labor-intensive, and manually scored. While deep learning enables automated EEG-based sleep staging in healthy subjects, our analysis shows poor…
Eunbyung Park, Jihyeon Park, Hyun-kyu Ko · 19 Mar 2026
Creating dynamic, view-consistent videos of customized subjects is highly sought after for a wide range of emerging applications, including immersive VR/AR, virtual production, and next-generation e-commerce.
M. Arda Aydın, Melih B. Yilmaz, Aykut Koç · 17 Mar 2026
ACE-LoRA is a parameter-efficient adaptation framework for medical vision-language models that enhances zero-shot generalization through LoRA modules and attention-based context enhancement.
Yu Li, Tian Lan, Rui Miao · 17 Mar 2026
A hierarchical reinforcement learning framework named ARISE employs a skill management system to improve mathematical reasoning in language models through reusable strategies and structured skill libraries.
16 Mar 2026
The computational cost of geochemical solvers is a challenging matter. For reactive transport simulations, where chemical calculations are performed up to billions of times, it is crucial to reduce the total computational time.
Ning Ding, Qinyuan Cheng, Xipeng Qiu · 15 Mar 2026
Scientific discovery depends on expert judgement and foresight, which we call scientific taste: the ability to judge and propose research ideas with the potential for long-term scientific impact.
11 Mar 2026
Digital Human Modelling (DHM) is increasingly shaped by advances in AI, wearable biosensing, and interactive digital environments, particularly in research addressing accessibility and inclusion.
Yebin Liu, Xiaoying Tang, Jin Lyu · 10 Mar 2026
4D reconstruction of equine family (e.g.
10 Mar 2026
Most adversarial evaluations of large language model (LLM) safety assess single prompts and report binary pass/fail outcomes, which fails to capture how safety properties evolve under sustained adversarial interaction.
Zachary W. Ulissi, Brandon M. Wood, Aditi S. Krishnapriyan · 6 Mar 2026
AllScAIP is an attention-based machine-learning interatomic potential model that scales efficiently to large systems through data-driven all-to-all node attention while maintaining energy conservation and achieving state-of-the-art accuracy in molecular dynamics simulations.
5 Mar 2026
In oral arguments, judges probe attorneys with questions about the factual record, legal claims, and the strength of their arguments. To prepare for this questioning, both law schools and practicing attorneys rely on moot courts: practice simulations of appellate hearings.
Harikrishnan Unnikrishnan · 2 Mar 2026
A detection-gated pipeline combining a localizer and segmenter achieves state-of-the-art glottal segmentation with robust cross-dataset generalization and real-time processing capabilities.
1 Mar 2026
As large language models (LLMs) increasingly assist scientific writing, the limitations and token costs of generating TeX become increasingly visible. This paper analyzes TeX's architectural mismatch with LLM workflows, stemming from its lack of an explicit structural…
1 Mar 2026
Hard-negative source selection for dense retrieval is usually decided only after fine-tuning and downstream evaluation. We propose ECIsem, a validity-weighted diagnostic that ranks candidate hard-negative sources using frozen target-encoder embeddings.
1 Mar 2026
Reinforcement Learning with Verifiable Rewards ( RLVR ) has emerged as a transformative paradigm for enhancing the reasoning capabilities of Large Language Models ( LLMs), yet its potential in 3D scene understanding remains under-explored.
1 Mar 2026
Current Large Language Models have achieved Olympiad-level logic, yet Vision-Language Models paradoxically falter on elementary spatial tasks like block counting. This capability mismatch reveals a critical ``spatial intelligence gap,'' where models fail to construct coherent 3D…
1 Mar 2026
Drones are becoming popular as a complementary system for Emergency Medical Services (EMS). Although several pilot studies and flight trials have shown the feasibility of drone-assisted Automated External Defibrillator (AED) delivery, running a full-scale operational network…
1 Mar 2026
Autoregressive (AR) language models build representations incrementally via left-to-right prediction, while diffusion language models (dLLMs) are trained through full-sequence denoising.
1 Mar 2026
Recent Artificial Intelligence (AI) models have matched or exceeded human experts in several benchmarks of biomedical task performance, but surgical benchmarks in particular are often missing from prominent medical benchmark suites.
1 Mar 2026
We present a physics-based neural network framework for the discovery of constitutive models in fully coupled thermomechanics. In contrast to classical formulations based on the Helmholtz energy, we adopt the internal energy and a dissipation potential as primary constitutive…
1 Mar 2026
A novel convolutional autoencoder and neural ODE (CAE-NODE) framework is proposed for a reduced-order model (ROM) applied to transient 2D counterflow flames, as an extension of AE-NODE methods in homogeneous reactive systems to spatially resolved flows.