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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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Precise Information Control in Long-Form Text Generation

A central challenge in modern language models (LMs) is intrinsic hallucination: the generation of ...

Deep Learning Reforms Image Matching: A Survey and Outlook

Image matching, which establishes correspondences between two-view images to recover 3D structure ...

UniSite: The First Cross-Structure Dataset and Learning Framework for End-to-End Ligand Binding Site Detection

The detection of ligand binding sites for proteins is a fundamental step in Structure-Based Drug D...

Geometric Visual Servo Via Optimal Transport

When developing control laws for robotic systems, the principle factor when examining their perfor...

Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology

Pre-trained encoders for offline feature extraction followed by multiple instance learning (MIL) a...

Robust Federated Learning against Noisy Clients via Masked Optimization

In recent years, federated learning (FL) has made significant advance in privacy-sensitive applica...

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models

Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to...

E3D-Bench: A Benchmark for End-to-End 3D Geometric Foundation Models

Spatial intelligence, encompassing 3D reconstruction, perception, and reasoning, is fundamental to...

ORMind: A Cognitive-Inspired End-to-End Reasoning Framework for Operations Research

Operations research (OR) is widely deployed to solve critical decision-making problems with comple...

Generative AI for Urban Design: A Stepwise Approach Integrating Human Expertise with Multimodal Diffusion Models

Urban design is a multifaceted process that demands careful consideration of site-specific constra...

Hold My Beer: Learning Gentle Humanoid Locomotion and End-Effector Stabilization Control

Can your humanoid walk up and hand you a full cup of beer, without spilling a drop? While humanoid...

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation

The latest advancements in multi-modal large language models (MLLMs) have spurred a strong renewed...

An end-to-end mass spectrometry data classification model with a unified architecture.

Mass spectrometry, known for its high sensitivity, selectivity, rich structural information, and rap...

May 2025 40447698
Dc-EEMF: Pushing depth-of-field limit of photoacoustic microscopy via decision-level constrained learning

Photoacoustic microscopy holds the potential to measure biomarkers' structural and functional stat...

3DGS Compression with Sparsity-guided Hierarchical Transform Coding

3D Gaussian Splatting (3DGS) has gained popularity for its fast and high-quality rendering, but it...

Test-Time Alignment of Discrete Diffusion Models with Sequential Monte Carlo

Discrete diffusion models have become highly effective across various domains. However, real-world...

RAG-Zeval: Towards Robust and Interpretable Evaluation on RAG Responses through End-to-End Rule-Guided Reasoning

Robust evaluation is critical for deploying trustworthy retrieval-augmented generation (RAG) syste...

EaqVLA: Encoding-aligned Quantization for Vision-Language-Action Models

With the development of Embodied Artificial intelligence, the end-to-end control policy such as Vi...

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