Papers

New on arXiv

Sun 24 Mar 2024

147 papers

Is The Watermarking Of LLM-Generated Code Robust?LLM safety and security → Watermarking generated content and models
The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR SummarizationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
Interpretable Modeling of Deep Reinforcement Learning Driven SchedulingDeep reinforcement learning methods → Interpretable and logic-guided RL
Engineering Safety Requirements for Autonomous Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
Empowering LLMs with Pseudo-Untrimmed Videos for Audio-Visual Temporal UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
Laplacian-guided Entropy Model in Neural Codec with Blur-dissipated SynthesisDiffusion models → Diffusion for compression and wireless
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token UnlearningLLM safety and security → Backdoor and data poisoning attacks
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian PerspectiveLLM safety and security → Machine unlearning
Diffusion Model is a Good Pose Estimator from 3D RF-VisionDiffusion models → 3D, point cloud and scene generation
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark DiscoveryDiffusion models → 3D, point cloud and scene generation
Predicate Debiasing in Vision-Language Models Integration for Scene Graph Generation EnhancementMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
Ultra Low-Cost Two-Stage Multimodal System for Non-Normative Behavior DetectionLLM safety and security → Safety alignment, refusal and guardrails
EVA: Zero-shot Accurate Attributes and Multi-Object Video EditingDiffusion models → Video generation
Are NeRFs ready for autonomous driving? Towards closing the real-to-simulation gapEnd-to-end autonomous driving → Adversarial scenarios and safety testing
IBCB: Efficient Inverse Batched Contextual Bandit for Behavioral Evolution HistoryOffline RL and imitation learning from data → Imitation learning methods
Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with JustificationsLLM agents and tool use → Agent threats, guardrails and governance
Adversarial Guided Diffusion Models for Adversarial PurificationDiffusion models → Robustness, privacy and adversarial aspects
A Unified Module for Accelerating STABLE-DIFFUSION: LCM-LORADiffusion models → Diffusion foundations and sampling
Fill in the ____ (a Diffusion-based Image Inpainting Pipeline)Diffusion models → 3D, point cloud and scene generation
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object TrackingKnowledge distillation → Detection and dense prediction distillation
Configurable Holography: Towards Display and Scene Adaptation
Towards Large-Scale Training of Pathology Foundation Models
Transformer-based Joint Modelling for Automatic Essay Scoring and Off-Topic Detection
Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
An efficient domain-independent approach for supervised keyphrase extraction and ranking
A Python Framework for Neutrosophic Sets and Mappings
Improve accessibility for Low Vision and Blind people using Machine Learning and Computer Vision
Stochastic Optimization with Constraints: A Non-asymptotic Instance-Dependent Analysis
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems
Interpretable Machine Learning for Weather and Climate Prediction: A Survey
Markov chain models for inspecting response dynamics in psychological testing
EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning
Stochastic parameter reduced-order model based on hybrid machine learning approaches
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
Artificial Neural Microcircuits as Building Blocks: Concept and Challenges
AutoInst: Automatic Instance-Based Segmentation of LiDAR 3D Scans
Optimization on a Finer Scale: Bounded Local Subgradient Variation Perspective
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis
LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation
latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Guessing human intentions to avoid dangerous situations in caregiving robots
HemoSet: The First Blood Segmentation Dataset for Automation of Hemostasis Management
The Evolution of Football Betting- A Machine Learning Approach to Match Outcome Forecasting and Bookmaker Odds Estimation
L-MAE: Longitudinal masked auto-encoder with time and severity-aware encoding for diabetic retinopathy progression prediction
Object Detectors in the Open Environment: Challenges, Solutions, and Outlook
Constricting Normal Latent Space for Anomaly Detection with Normal-only Training Data
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs
Emotion Recognition from the perspective of Activity Recognition
Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble
Large Language Models Offer an Alternative to the Traditional Approach of Topic Modelling
Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
On the Equivalency, Substitutability, and Flexibility of Synthetic Data
Adversarially Masked Video Consistency for Unsupervised Domain Adaptation
Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI
An early warning indicator trained on stochastic disease-spreading models with different noises
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System
Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields
Cyber-Security Knowledge Graph Generation by Hierarchical Nonnegative Matrix Factorization
Exemplar-Free Class Incremental Learning via Incremental Representation
CoverUp: Effective High Coverage Test Generation for Python
Systematic construction of continuous-time neural networks for linear dynamical systems
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis
Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Plane
Image Captioning in news report scenario
Convergence analysis of OT-Flow for sample generation
Skull-to-Face: Anatomy-Guided 3D Facial Reconstruction and Editing
Rumor Detection with a novel graph neural network approach
Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains
SQL-Encoder: Improving NL2SQL In-Context Learning Through a Context-Aware Encoder
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
Logic-based Explanations for Linear Support Vector Classifiers with Reject Option
Cross-domain Multi-modal Few-shot Object Detection via Rich Text
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
EgoExoLearn: A Dataset for Bridging Asynchronous Ego- and Exo-centric View of Procedural Activities in Real World
Mixed-Initiative Human-Robot Teaming under Suboptimality with Online Bayesian Adaptation
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
Enhancing MRI-Based Classification of Alzheimer's Disease with Explainable 3D Hybrid Compact Convolutional Transformers
Fusion of Minutia Cylinder Codes and Minutia Patch Embeddings for Latent Fingerprint Recognition
Gaze-guided Hand-Object Interaction Synthesis: Dataset and Method
An Analytic Solution to Covariance Propagation in Neural Networks
Multi-Task Learning with Multi-Task Optimization
Towards Online Real-Time Memory-based Video Inpainting Transformers
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition
One Masked Model is All You Need for Sensor Fault Detection, Isolation and Accommodation
Analyzing Consumer IoT Traffic from Security and Privacy Perspectives: a Comprehensive Survey
Realtime Robust Shape Estimation of Deformable Linear Object
Predicting Energy Budgets in Droplet Dynamics: A Recurrent Neural Network Approach
CFAT: Unleashing TriangularWindows for Image Super-resolution
What Happens to a Dataset Transformed by a Projection-based Concept Removal Method?
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish
A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective
Complementary Recommendation in E-commerce: Definition, Approaches, and Future Directions
SSHPool: The Separated Subgraph-based Hierarchical Pooling
Runtime Monitoring and Fault Detection for Neural Network-Controlled Systems
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification

All 147