Trending Research
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
This paper introduces UI-TARS, a native GUI agent model that solely perceives the screenshots as input and performs human-like interactions (e. g., keyboard and mouse operations).
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Meanwhile, large amounts of unaligned graphics programs and captioned raster images are more readily available.
MonSter: Marry Monodepth to Stereo Unleashes Power
junda24/monster
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The refined monodepth is in turn guides stereo effectively at ill-posed regions.
Auto-configuring Exploration-Exploitation Tradeoff in Evolutionary Computation via Deep Reinforcement Learning
GMC-DRL/MetaBox
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Evolutionary computation (EC) algorithms, renowned as powerful black-box optimizers, leverage a group of individuals to cooperatively search for the optimum.
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
Utilizing large language models (LLMs) for document reranking has been a popular and promising research direction in recent years, many studies are dedicated to improving the performance and efficiency of using LLMs for reranking.
HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation
To effectively learn the HealthGPT, we devise a comprehensive medical domain-specific comprehension and generation dataset called VL-Health.
MinerU: An Open-Source Solution for Precise Document Content Extraction
Document content analysis has been a crucial research area in computer vision.
TerraTorch: The Geospatial Foundation Models Toolkit
IBM/terratorch
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TerraTorch is a fine-tuning and benchmarking toolkit for Geospatial Foundation Models built on PyTorch Lightning and tailored for satellite, weather, and climate data.
MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding
These agents engage in multi-modal context retrieval, combining their individual insights to achieve a more comprehensive understanding of the document's content.
MedSAM2: Segment Anything in 3D Medical Images and Videos
Medical image and video segmentation is a critical task for precision medicine, which has witnessed considerable progress in developing task or modality-specific and generalist models for 2D images.
