Papers

New on arXiv

Sun 17 Mar 2024

162 papers

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
Unified Generative Modeling of 3D Molecules via Bayesian Flow NetworksDiffusion models → Flow matching, time series and science
Reconstruct before Query: Continual Missing Modality Learning with Decomposed Prompt CollaborationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
Driving Style Alignment for LLM-powered Driver AgentLLM agents and tool use → Multimodal and embodied agents
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-TuningRetrieval-augmented generation → RAG pipeline design and evaluation
Independent RL for Cooperative-Competitive Agents: A Mean-Field PerspectiveDeep reinforcement learning methods → RL for games and combinatorial optimization
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal FeedbackLLM agents and tool use → General LLM agent frameworks and benchmarks +1
Reasoning in Transformers -- Mitigating Spurious Correlations and Reasoning ShortcutsLLM reasoning → Reasoning benchmarks and evaluation
Pioneering SE(2)-Equivariant Trajectory Planning for Automated DrivingEnd-to-end autonomous driving → End-to-end system architecture
SQ-LLaVA: Self-Questioning for Large Vision-Language AssistantMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
ManipVQA: Injecting Robotic Affordance and Physically Grounded Information into Multi-Modal Large Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
Fast Personalized Text-to-Image Syntheses With Attention InjectionDiffusion models → Image generation, text-to-image and editing
Understanding Diffusion Models by Feynman's Path IntegralDiffusion models → Diffusion foundations and sampling
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart SummarizationLLM reasoning → Multimodal reasoning
Multiple Teachers-Meticulous Student: A Domain Adaptive Meta-Knowledge Distillation Model for Medical Image ClassificationKnowledge distillation → Distillation for medical imaging
THOR: Text to Human-Object Interaction Diffusion via Relation InterventionDiffusion models → Video generation
MaskDiffusion: Exploiting Pre-trained Diffusion Models for Semantic SegmentationDiffusion models → Medical imaging and segmentation
Prior-dependent analysis of posterior sampling reinforcement learning with function approximationDeep reinforcement learning methods → RL theory and sample complexity
Artifact Feature Purification for Cross-domain Detection of AI-generated ImagesDiffusion models → Image generation, text-to-image and editing
CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient InversionDiffusion models → Robustness, privacy and adversarial aspects
Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion ModelDiffusion models → Inverse problems and image restoration
Training A Small Emotional Vision Language Model for Visual Art ComprehensionMultimodal LLMs / vision-language models → Multimodal emotion understanding
Is Mamba Effective for Time Series Forecasting?State-space sequence models (S4, Mamba) → Time series forecasting with SSMs
Scaling Data Diversity for Fine-Tuning Language Models in Human AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
PhD: A ChatGPT-Prompted Visual hallucination Evaluation DatasetMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
Phasic Diversity Optimization for Population-Based Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
Diffusion Models are Efficient Data Generators for Human Mesh RecoveryDiffusion models → 3D, point cloud and scene generation
Self-Supervised Quantization-Aware Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
PyroTrack: Belief-Based Deep Reinforcement Learning Path Planning for Aerial Wildfire Monitoring in Partially Observable EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
Adaptive Semantic-Enhanced Denoising Diffusion Probabilistic Model for Remote Sensing Image Super-ResolutionDiffusion models → Inverse problems and image restoration
Zippo: Zipping Color and Transparency Distributions into a Single Diffusion ModelDiffusion models → Image generation, text-to-image and editing
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR OptimizationDeep reinforcement learning methods → RL theory and sample complexity
Large Language Models Powered Context-aware Motion Prediction in Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross AttentionDiffusion models → Diffusion foundations and sampling
Comprehensive Autonomous Vehicle Optimal Routing With Dynamic Heuristics
FlowMind: Automatic Workflow Generation with LLMs
Psittacines of Innovation? Assessing the True Novelty of AI Creations
A Survey of IMU Based Cross-Modal Transfer Learning in Human Activity Recognition
Introducing an ensemble method for the early detection of Alzheimer's disease through the analysis of PET scan images
Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives
Safeguarding Marketing Research: The Generation, Identification, and Mitigation of AI-Fabricated Disinformation
Concept-Best-Matching: Evaluating Compositionality in Emergent Communication
A minimal coalition logic
Machine Learning and Transformers for Thyroid Carcinoma Diagnosis: A Review
Analyzing the Variations in Emergency Department Boarding and Testing the Transferability of Forecasting Models across COVID-19 Pandemic Waves in Hong Kong: Hybrid CNN-LSTM approach to quantifying building-level socioecological risk
General Line Coordinates in 3D
Hierarchical Classification for Intrusion Detection System: Effective Design and Empirical Analysis
A Dual-Tier Adaptive One-Class Classification IDS for Emerging Cyberthreats
Scenarios for the Transition to AGI
Circular Belief Propagation for Approximate Probabilistic Inference
Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions
DynamicGlue: Epipolar and Time-Informed Data Association in Dynamic Environments using Graph Neural Networks
What Makes Math Word Problems Challenging for LLMs?
3DGS-ReLoc: 3D Gaussian Splatting for Map Representation and Visual ReLocalization
Creating Seamless 3D Maps Using Radiance Fields
IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight
TransPeakNet: Solvent-Aware 2D NMR Prediction via Multi-Task Pre-Training and Unsupervised Learning
A Semidefinite Programming-Based Branch-and-Cut Algorithm for Biclustering
Robustness of data-driven approaches in limited angle tomography
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
CantonMT: Cantonese to English NMT Platform with Fine-Tuned Models Using Synthetic Back-Translation Data
Federated Transfer Learning with Differential Privacy
StainDiffuser: MultiTask Dual Diffusion Model for Virtual Staining
Ensembling and Test Augmentation for Covid-19 Detection and Covid-19 Domain Adaptation from 3D CT-Scans
Enhancing Bandwidth Efficiency for Video Motion Transfer Applications using Deep Learning Based Keypoint Prediction
ConvSDG: Session Data Generation for Conversational Search
Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability
Domain-Guided Masked Autoencoders for Unique Player Identification
GeoGaussian: Geometry-aware Gaussian Splatting for Scene Rendering
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Order-One Rolling Shutter Cameras
Multi-Relational Graph Neural Network for Out-of-Domain Link Prediction
Advanced Knowledge Extraction of Physical Design Drawings, Translation and conversion to CAD formats using Deep Learning
BrightDreamer: Generic 3D Gaussian Generative Framework for Fast Text-to-3D Synthesis
Bilateral Propagation Network for Depth Completion
Forging the Forger: An Attempt to Improve Authorship Verification via Data Augmentation
Stylized Face Sketch Extraction via Generative Prior with Limited Data
A Lie Group Approach to Riemannian Batch Normalization
A learning-based solution approach to the application placement problem in mobile edge computing under uncertainty
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation
NeoNeXt: Novel neural network operator and architecture based on the patch-wise matrix multiplications
YOLOv9 for Fracture Detection in Pediatric Wrist Trauma X-ray Images
Compact 3D Gaussian Splatting For Dense Visual SLAM
FORCE: Physics-aware Human-object Interaction
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
STAIR: Semantic-Targeted Active Implicit Reconstruction
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
Stitching, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation
Cheap Ways of Extracting Clinical Markers from Texts
SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream
CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations
Causality from Bottom to Top: A Survey
Research on Personal Credit Risk Assessment Methods Based on Causal Inference

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