Latest Research
Field-Mediated Semantic Organization in Large Language Models: Evidence for Quantum-Like Properties in Artificial Neural Systems
Specifically, we demonstrate that Phi-2 exhibits strongly quantum-like transitions between personality states (adaptability score: 1. 00), while Phi-4-mini-instruct shows balanced quantum properties across all dimensions (LQPI score: 0. 54), Llama-3. 2-1B-Instruct displays superior topological protection of semantic content (coherence score: 0. 50) and gemma-3-1b-it shows predominantly classical computational properties (LQPI score: 0. 16).
Sonata: Self-Supervised Learning of Reliable Point Representations
In this paper, we question whether we have a reliable self-supervised point cloud model that can be used for diverse 3D tasks via simple linear probing, even with limited data and minimal computation.
Ranked #1 on
Semantic Segmentation
on S3DIS
(using extra training data)
NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
This work discusses the methodology and performance of NeuralFoil with several case studies, including a practical airfoil design optimization study including both aerodynamic and non-aerodynamic constraints.
PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
Cross-modal hashing is a promising approach for efficient data retrieval and storage optimization.
AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
ab9mamun/AIMI
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However, effective forecasting systems for treatment adherence based on wearable sensors are still not widely available.
DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding
Motivated by the selective attention mechanisms inherent to the human visual system, we propose DynamicVis, a dynamic visual perception foundation model for remote sensing imagery.
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
In this work, we introduce a GFS-PCS framework that synergizes dense but noisy pseudo-labels from 3D VLMs with precise yet sparse few-shot samples to maximize the strengths of both, named GFS-VL.
NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes
In this paper, we explore the task of generating expansive outdoor scenes, ranging from castles to high-rises.
Tokenize Image as a Set
This paper proposes a fundamentally new paradigm for image generation through set-based tokenization and distribution modeling.
UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis
Extensive experimental results demonstrate that our approach achieves state-of-the-art performance on a hierarchical document structure analysis benchmark, Comp-HRDoc, and competitive results on a large-scale document layout analysis dataset, DocLayNet, effectively illustrating the superiority of our method across all sub-tasks.
