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Research

P3P Made Easy

DGX agent

arXiv:2508.01312v4 Announce Type: replace Abstract: We revisit the classical Perspective-Three-Point (P3P) problem, which aims to recover the absolute pose of a calibrated camera from three 2D-3D corr

researcharxiv-cs-cv

13 Apr 2026

Research

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

DGX agent

arXiv:2506.17310v3 Announce Type: replace-cross Abstract: While Large Language Models (LLMs) demonstrate strong performance across domains, their long-context capabilities are limited by transient neu

research

P3P Made Easy

PaceLLM: Brain-Inspired Large Language Models for Long-Context Understanding

PDE-regularized Dynamics-informed Diffusion with Uncertainty-aware Filtering for Long-Horizon Dynamics

Persona-E^2: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events

Physics-guided surrogate learning enables zero-shot control of turbulent wings

PoseGen: In-Context LoRA Finetuning for Pose-Controllable Long Human Video Generation

Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing

PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images

PRAGMA: Revolut Foundation Model

Predictive Entropy Links Calibration and Paraphrase Sensitivity in Medical Vision-Language Models

Prototype-Regularized Federated Learning for Cross-Domain Aspect Sentiment Triplet Extraction

PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing

PSIRNet: Deep Learning-based Free-breathing Rapid Acquisition Late Enhancement Imaging

RAM: Recover Any 3D Human Motion in-the-Wild

Ranked Activation Shift for Post-Hoc Out-of-Distribution Detection

Rays as Pixels: Learning A Joint Distribution of Videos and Camera Trajectories

REACT3D: Recovering Articulations for Interactive Physical 3D Scenes

Reasoning Models Will Sometimes Lie About Their Reasoning

RecaLLM: Addressing the Lost-in-Thought Phenomenon with Explicit In-Context Retrieval

Reflection of Episodes: Learning to Play Game from Expert and Self Experiences

Regime-Conditional Retrieval: Theory and a Transferable Router for Two-Hop QA

Reservoir observer enhanced with residual calibration and attention mechanism

Revisiting Anisotropy in Language Transformers: The Geometry of Learning Dynamics

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective

Robust Adaptive Backstepping Impedance Control of Robots in Unknown Environments

Sample Complexity of Composite Quantum Hypothesis Testing

Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching

Scaling flow-based approaches for topology sampling in SU(3) gauge theory

Screen, Cache, and Match: A Training-Free Causality-Consistent Reference Frame Framework for Human Animation

Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI

🎶 Share Your Thoughts on Music Description using AI! (Short Survey) [R]

Sharp description of local minima in the loss landscape of high-dimensional two-layer ReLU neural networks

SIC3D: Style Image Conditioned Text-to-3D Gaussian Splatting Generation

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations

Simulation of Adaptive Running with Flexible Sports Prosthesis using Reinforcement Learning of Hybrid-link System

Soft Electroadhesive Feet for Micro Aerial Robots Perching on Smooth and Curved Surfaces

State Space Models are Effective Sign Language Learners: Exploiting Phonological Compositionality for Vocabulary-Scale Recognition

Stochastic-Dimension Frozen Sampled Neural Network for High-Dimensional Gross-Pitaevskii Equations on Unbounded Domains

Streaming Video Instruction Tuning

Strips as Tokens: Artist Mesh Generation with Native UV Segmentation

Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis

Structure-Aware Fine-Grained Gaussian Splatting for Expressive Avatar Reconstruction

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions

Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start Scenarios

Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight

Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy

Testing the Assumptions of Active Learning for Translation Tasks with Few Samples