Papers

New on arXiv

Fri 5 Jan 2024

155 papers

Tailoring Frictional Properties of Surfaces Using Diffusion ModelsDiffusion models → Flow matching, time series and science
Latte: Latent Diffusion Transformer for Video GenerationDiffusion models → Video generation
SPADE: Synthesizing Data Quality Assertions for Large Language Model PipelinesSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
The Rise of Diffusion Models in Time-Series ForecastingDiffusion models → Flow matching, time series and science
DeepSeek LLM: Scaling Open-Source Language Models with LongtermismLLM reasoning → Reasoning benchmarks and evaluation
Uncovering the human motion pattern: Pattern Memory-based Diffusion Model for Trajectory PredictionDiffusion models → Diffusion and flow policies for robotics
A unified uncertainty-aware exploration: Combining epistemic and aleatory uncertaintyDeep reinforcement learning methods → RL theory and sample complexity
Plug-in Diffusion Model for Sequential RecommendationDiffusion models → Diffusion recommenders
MLLM-Protector: Ensuring MLLM's Safety without Hurting PerformanceMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
Deep Reinforcement Learning for Local Path Following of an Autonomous Formula SAE VehicleOffline RL and imitation learning from data → Imitation and offline RL for driving +1
AFSPP: Agent Framework for Shaping Preference and Personality with Large Language ModelsLLM agents and tool use → Social simulation and multi-agent debate
PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical ImagingMultimodal LLMs / vision-language models → Medical vision-language models
From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsDiffusion models → Diffusion foundations and sampling
Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General TasksMixture-of-experts → MoE large language models
XUAT-Copilot: Multi-Agent Collaborative System for Automated User Acceptance Testing with Large Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule GenerationDiffusion models → Flow matching, time series and science
Progressive Knowledge Distillation Of Stable Diffusion XL Using Layer Level LossDiffusion models → Diffusion foundations and sampling
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCacheEfficient LLM inference and serving → Serving systems and request scheduling
Adaptive Discounting of Training Time AttacksLLM safety and security → Prompt injection and agent security +1
Simple Hierarchical Planning with DiffusionDiffusion models → Diffusion and flow policies for robotics
CoCoT: Contrastive Chain-of-Thought Prompting for Large Multimodal Models with Multiple Image InputsLLM reasoning → Multimodal reasoning +1
Accelerating a Triton Fused Kernel for W4A16 Quantized Inference with SplitK work decomposition
Can Large Language Models Understand Molecules?
Using Multi-Temporal Sentinel-1 and Sentinel-2 data for water bodies mapping
Multimodal Data Curation via Object Detection and Filter Ensembles
A Novel Decision Ensemble Framework: Customized Attention-BiLSTM and XGBoost for Speculative Stock Price Forecasting
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization
Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Multi-relational Graph Diffusion Neural Network with Parallel Retention for Stock Trends Classification
The Concept of the Tactile Signature System for Individuals with Visual Impairments
XXAI: Towards eXplicitly eXplainable Artificial Intelligence
Consensus-Threshold Criterion for Offline Signature Verification using Convolutional Neural Network Learned Representations
Energy-efficient Decentralized Learning via Graph Sparsification
UMIE: Unified Multimodal Information Extraction with Instruction Tuning
StreamVC: Real-Time Low-Latency Voice Conversion
A Topology-aware Graph Coarsening Framework for Continual Graph Learning
Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning
Towards Enhancing the Reproducibility of Deep Learning Bugs: An Empirical Study
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Super-resolution multi-contrast unbiased eye atlases with deep probabilistic refinement
Reliability-Optimized User Admission Control for URLLC Traffic: A Neural Contextual Bandit Approach
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
On the Stability of a non-hyperbolic nonlinear map with non-bounded set of non-isolated fixed points with applications to Machine Learning
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
AccidentGPT: Large Multi-Modal Foundation Model for Traffic Accident Analysis
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
Exploring Gender Biases in Language Patterns of Human-Conversational Agent Conversations
Evolution of urban areas and land surface temperature
AST-T5: Structure-Aware Pretraining for Code Generation and Understanding
Prompt-driven Latent Domain Generalization for Medical Image Classification
UnetTSF: A Better Performance Linear Complexity Time Series Prediction Model
Denoising Vision Transformers
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively
The Tactician's Web of Large-Scale Formal Knowledge
Graph2Tac: Online Representation Learning of Formal Math Concepts
Digital-analog quantum learning on Rydberg atom arrays
Locally Adaptive Neural 3D Morphable Models
SPFormer: Enhancing Vision Transformer with Superpixel Representation
Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery
Towards ASR Robust Spoken Language Understanding Through In-Context Learning With Word Confusion Networks
Analytically-Driven Resource Management for Cloud-Native Microservices
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task
H2G2-Net: A Hierarchical Heterogeneous Graph Generative Network Framework for Discovery of Multi-Modal Physiological Responses
Class-wise Generalization Error: an Information-Theoretic Analysis
State Derivative Normalization for Continuous-Time Deep Neural Networks
Nonlinear functional regression by functional deep neural network with kernel embedding
Energy-Preserving Reduced Operator Inference for Efficient Design and Control
MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multi-scale Dilated Convolution for Image Compressive Sensing (CS)
Efficient Parameter Optimisation for Quantum Kernel Alignment: A Sub-sampling Approach in Variational Training
Optimal Chaining of Vehicle Plans with Time Windows
Reversing the Irreversible: A Survey on Inverse Biometrics
Framework for Variable-lag Motif Following Relation Inference In Time Series using Matrix Profile analysis
Natural Language Programming in Medicine: Administering Evidence Based Clinical Workflows with Autonomous Agents Powered by Generative Large Language Models
Generating Non-Stationary Textures using Self-Rectification
Thousands of AI Authors on the Future of AI
Multi-Stage Contrastive Regression for Action Quality Assessment
Pheme: Efficient and Conversational Speech Generation
CrisisViT: A Robust Vision Transformer for Crisis Image Classification
Two-stage Progressive Residual Dense Attention Network for Image Denoising
Let's Get It Started: Fostering the Discoverability of New Releases on Deezer
CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras
DocGraphLM: Documental Graph Language Model for Information Extraction
Object-Centric Instruction Augmentation for Robotic Manipulation
Physics-Informed Neural Networks for High-Frequency and Multi-Scale Problems using Transfer Learning
DiffBody: Diffusion-based Pose and Shape Editing of Human Images
Credence: Augmenting Datacenter Switch Buffer Sharing with ML Predictions
Subjective and Objective Analysis of Indian Social Media Video Quality
Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos
Large Language Models in Plant Biology
Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets
Complex systems approach to natural language
Powerformer: A Section-adaptive Transformer for Power Flow Adjustment
Fus-MAE: A cross-attention-based data fusion approach for Masked Autoencoders in remote sensing
Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment Prediction
Systematic review of image segmentation using complex networks
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

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