Papers

New on arXiv

Wed 10 Jan 2024

191 papers

Motion Guided Token Compression for Efficient Masked Video ModelingEfficient LLM inference and serving → Visual token pruning in multimodal models
Unsupervised Salient Patch Selection for Data-Efficient Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
Exploring the Reasoning Abilities of Multimodal Large Language Models (MLLMs): A Comprehensive Survey on Emerging Trends in Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
Hierarchical Knowledge Distillation on Text Graph for Data-limited Attribute InferenceKnowledge distillation → Graph neural network distillation
Graph-of-Thought: Utilizing Large Language Models to Solve Complex and Dynamic Business ProblemsLLM reasoning → Reasoning for agents, planning and code
Reinforcement Learning for Optimizing RAG for Domain ChatbotsRetrieval-augmented generation → RAG pipeline design and evaluation +1
Diffusion Priors for Dynamic View Synthesis from Monocular VideosDiffusion models → 3D, point cloud and scene generation
VLP: Vision Language Planning for Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingLLM agents and tool use → Agent threats, guardrails and governance +1
Towards Safe Load Balancing based on Control Barrier Functions and Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
From Pampas to Pixels: Fine-Tuning Diffusion Models for Ga'ucho HeritageDiffusion models → Image generation, text-to-image and editing
InfiAgent-DABench: Evaluating Agents on Data Analysis TasksLLM agents and tool use → Web, search, and research agents
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and SecurityLLM agents and tool use → General LLM agent frameworks and benchmarks
Score Distillation Sampling with Learned Manifold CorrectiveDiffusion models → 3D, point cloud and scene generation
AutoAct: Automatic Agent Learning from Scratch for QA via Self-PlanningLLM agents and tool use → Web, search, and research agents
PIXART-δ: Fast and Controllable Image Generation with Latent Consistency ModelsDiffusion models → Diffusion foundations and sampling
ReACT: Reinforcement Learning for Controller Parametrization using B-Spline GeometriesDeep reinforcement learning methods → RL for energy, networks and operations
Taming "data-hungry" reinforcement learning? Stability in continuous state-action spacesDeep reinforcement learning methods → RL theory and sample complexity
Modelling, Positioning, and Deep Reinforcement Learning Path Tracking Control of Scaled Robotic Vehicles: Design and Experimental ValidationDeep reinforcement learning methods → RL for autonomous driving and traffic
DCR: Divide-and-Conquer Reasoning for Multi-choice Question Answering with LLMsLLM reasoning → Reasoning benchmarks and evaluation
MISS: A Generative Pretraining and Finetuning Approach for Med-VQAMultimodal LLMs / vision-language models → Medical vision-language models
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNNDiffusion models → Medical imaging and segmentation
CrossDiff: Exploring Self-Supervised Representation of Pansharpening via Cross-Predictive Diffusion ModelDiffusion models → Inverse problems and image restoration
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation MetricsLLM safety and security → Federated unlearning and poisoning
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-TalkLLM agents and tool use → General LLM agent frameworks and benchmarks +1
An Information Theoretic Approach to Interaction-Grounded LearningDeep reinforcement learning methods → RL training of language and agent models
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term ForecastingKnowledge distillation → General knowledge distillation methods
Learning-Based Difficulty Calibration for Enhanced Membership Inference AttacksLLM safety and security → Membership inference attacks
The Impact of Reasoning Step Length on Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
A Good Score Does not Lead to A Good Generative ModelDiffusion models → Diffusion foundations and sampling
Improved Forecasting Using a PSO-RDV Framework to Enhance Artificial Neural Network
A Light-weight and Unsupervised Method for Near Real-time Behavioral Analysis using Operational Data Measurement
Promises and pitfalls of artificial intelligence for legal applications
A Deep Learning Approach Towards Student Performance Prediction in Online Courses: Challenges Based on a Global Perspective
A Scoping Review of Energy Load Disaggregation
Building Blocks to Empower Cognitive Internet with Hybrid Edge Cloud
dRG-MEC: Decentralized Reinforced Green Offloading for MEC-enabled Cloud Network
Detecting Brain Tumors through Multimodal Neural Networks
A General-purpose AI Avatar in Healthcare
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms
Grounded learning for compositional vector semantics
An EcoSage Assistant: Towards Building A Multimodal Plant Care Dialogue Assistant
AugSumm: towards generalizable speech summarization using synthetic labels from large language model
ChatGPT, Let us Chat Sign Language: Experiments, Architectural Elements, Challenges and Research Directions
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks
CNN-DRL for Scalable Actions in Finance
AI Art is Theft: Labour, Extraction, and Exploitation, Or, On the Dangers of Stochastic Pollocks
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
MTAD: Tools and Benchmarks for Multivariate Time Series Anomaly Detection
Machine Learning Applications in Spine Biomechanics
Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
Reverse Projection: Real-Time Local Space Texture Mapping
FourCastNeXt: Optimizing FourCastNet Training for Limited Compute
Enhancing Blood Flow Assessment in Diffuse Correlation Spectroscopy: A Transfer Learning Approach with Noise Robustness Analysis
An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry
Fast Cerebral Blood Flow Analysis via Extreme Learning Machine
A provable initialization and robust clustering method for general mixture models
Innate-Values-driven Reinforcement Learning based Cooperative Multi-Agent Cognitive Modeling
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits
Siamese Networks with Soft Labels for Unsupervised Lesion Detection and Patch Pretraining on Screening Mammograms
SENet: Visual Detection of Online Social Engineering Attack Campaigns
Phase discovery with active learning: Application to structural phase transitions in equiatomic NiTi
Brave: Byzantine-Resilient and Privacy-Preserving Peer-to-Peer Federated Learning
TrustLLM: Trustworthiness in Large Language Models
Useful Blunders: Can Automated Speech Recognition Errors Improve Downstream Dementia Classification?
Enhancing Source Code Classification Effectiveness via Prompt Learning Incorporating Knowledge Features
Multi-objective Feature Selection in Remote Health Monitoring Applications
Theoretical and Empirical Advances in Forest Pruning
VI-PANN: Harnessing Transfer Learning and Uncertainty-Aware Variational Inference for Improved Generalization in Audio Pattern Recognition
Consensus Focus for Object Detection and minority classes
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System
Correlated Quantization for Faster Nonconvex Distributed Optimization
FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields
Optimized Ensemble Model Towards Secured Industrial IoT Devices
Diversity-aware clustering: Computational Complexity and Approximation Algorithms
Transformer-CNN Fused Architecture for Enhanced Skin Lesion Segmentation
The recursive scheme of clustering
Population Graph Cross-Network Node Classification for Autism Detection Across Sample Groups
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors
CADgpt: Harnessing Natural Language Processing for 3D Modelling to Enhance Computer-Aided Design Workflows
Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
Introducing New Node Prediction in Graph Mining: Predicting All Links from Isolated Nodes with Graph Neural Networks
Can Active Label Correction Improve LLM-based Modular AI Systems?
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
The two-way knowledge interaction interface between humans and neural networks
CoLafier: Collaborative Noisy Label Purifier With Local Intrinsic Dimensionality Guidance
Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis
Towards Online Continuous Sign Language Recognition and Translation
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes
URHand: Universal Relightable Hands
Hierarchical Causal Models
A Large-Scale Analysis on the Use of Arrival Time Prediction for Automated Shuttle Services in the Real World
Leveraging Print Debugging to Improve Code Generation in Large Language Models
ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video
Tackling Non-IIDness in HAPS-Aided Federated Learning
Can Probabilistic Feedback Drive User Impacts in Online Platforms?
Theory of Mind abilities of Large Language Models in Human-Robot Interaction : An Illusion?
I am a Strange Dataset: Metalinguistic Tests for Language Models
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN)

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