Cover Image

Bridging Vision, Language, and Mathematics: Pictographic Character Reconstruction with Bézier Curves

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wan, Zihao, Xu, Pau Tong Lin, Luo, Fuwen, Wang, Ziyue, Li, Peng, Liu, Yang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Sequence Analysis Using the Bezier Curve
by: Murad, Taslim, et al.
Published: (2025)

Enabling Stroke-Level Structural Analysis of Hieroglyphic Scripts without Language-Specific Priors
by: Luo, Fuwen, et al.
Published: (2026)

Bezier Distillation
by: Feng, Ling, et al.
Published: (2025)

BézierFlow: Learning Bézier Stochastic Interpolant Schedulers for Few-Step Generation
by: Min, Yunhong, et al.
Published: (2025)

MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction
by: Yu, Ziyue, et al.
Published: (2024)

Generating Synthetic Ground Truth Distributions for Multi-step Trajectory Prediction using Probabilistic Composite Bézier Curves
by: Hug, Ronny, et al.
Published: (2024)

RLLaVA: An RL-central Framework for Language and Vision Assistants
by: Zhao, Lei, et al.
Published: (2025)

SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters
by: Jiang, Jianping, et al.
Published: (2024)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
by: Zheng, Weiying, et al.
Published: (2025)

ResPrune: Text-Conditioned Subspace Reconstruction for Visual Token Pruning in Large Vision-Language Models
by: Li, Xu, et al.
Published: (2026)

Bridging Discrete Marks and Continuous Dynamics: Dual-Path Cross-Interaction for Marked Temporal Point Processes
by: Liu, Yuxiang, et al.
Published: (2026)

Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving
by: Yang, Tianyun, et al.
Published: (2025)

Spatial-Temporal Large Language Model for Traffic Prediction
by: Liu, Chenxi, et al.
Published: (2024)

BézierGS: Dynamic Urban Scene Reconstruction with Bézier Curve Gaussian Splatting
by: Ma, Zipei, et al.
Published: (2025)

Review of Mathematical Optimization in Federated Learning
by: Yang, Shusen, et al.
Published: (2024)

An Empirical Study of Federated Prompt Learning for Vision Language Model
by: Wang, Zhihao, et al.
Published: (2025)

BioBridge: Bridging Proteins and Language for Enhanced Biological Reasoning with LLMs
by: Wang, Yujia, et al.
Published: (2026)

Skip a Layer or Loop it? Test-Time Depth Adaptation of Pretrained LLMs
by: Li, Ziyue, et al.
Published: (2025)

Enhancing LLM Metacognition via Cognitive Pairwise Training
by: Li, Weitao, et al.
Published: (2026)

Bridging Molecular Graphs and Large Language Models
by: Wang, Runze, et al.
Published: (2025)

Discovering Mathematical Equations with Diffusion Language Model
by: Han, Xiaoxu, et al.
Published: (2025)

RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models
by: Lin, Xiang, et al.
Published: (2025)

From Sparse Sensors to Continuous Fields: STRIDE for Spatiotemporal Reconstruction
by: Tong, Yanjie, et al.
Published: (2026)

Large Language Models are Few-shot Multivariate Time Series Classifiers
by: Chen, Yakun, et al.
Published: (2025)

Abstractive Red-Teaming of Language Model Character
by: Rahn, Nate, et al.
Published: (2026)

QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
by: Zhang, Jingxuan, et al.
Published: (2026)

Per-Group Error, Not Total MSE: Fine-Tuning Vision-Language-Action Models for 11-DoF Mobile Manipulation
by: Bofi, Pau Montagut, et al.
Published: (2026)

Graph Neural Network Surrogate for Seismic Reliability Analysis of Highway Bridge Systems
by: Liu, Tong, et al.
Published: (2022)

NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
by: Gu, Jiawei, et al.
Published: (2025)

GPT-4o as the Gold Standard: A Scalable and General Purpose Approach to Filter Language Model Pretraining Data
by: Zhang, Jifan, et al.
Published: (2024)

BridgeTower: Building Bridges Between Encoders in Vision-Language Representation Learning
by: Xu, Xiao, et al.
Published: (2022)

Optimizing Large Language Model Training Using FP4 Quantization
by: Wang, Ruizhe, et al.
Published: (2025)

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
by: Chen, Zexuan, et al.
Published: (2026)

FormalMATH: Benchmarking Formal Mathematical Reasoning of Large Language Models
by: Yu, Zhouliang, et al.
Published: (2025)

CuBridge: An LLM-Based Framework for Understanding and Reconstructing High-Performance Attention Kernels
by: Ma, Xing, et al.
Published: (2026)

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning
by: Gao, Zijun, et al.
Published: (2025)

VEHME: A Vision-Language Model For Evaluating Handwritten Mathematics Expressions
by: Nguyen, Thu Phuong, et al.
Published: (2025)

Octopus: Embodied Vision-Language Programmer from Environmental Feedback
by: Yang, Jingkang, et al.
Published: (2023)

Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
by: Sejnova, Gabriela, et al.
Published: (2024)

Mathematics of Continual Learning
by: Peng, Liangzu, et al.
Published: (2025)