Papers
Tue 7 Jan 2025
224 papers
- Agreeing to Interact in Human-Robot Interaction using Large Language Models and Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Retrieval-Augmented Generation by Evidence Retroactivity in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Reasoning-Enhanced Self-Training for Long-Form Personalized Text GenerationLLM reasoning → Reinforcement learning for reasoning +1
- MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data CurationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- BiasGuard: Guardrailing Fairness in Machine Learning Production SystemsLLM safety and security → Safety alignment, refusal and guardrails
- Stochastic Process Learning via Operator Flow MatchingDiffusion models → Flow matching, time series and science
- Explainable Reinforcement Learning for Formula One Race StrategyDeep reinforcement learning methods → RL for autonomous driving and traffic
- Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot DetectionKnowledge distillation → Federated, robust and private distillation
- LiMoE: Mixture of LiDAR Representation Learners from Automotive ScenesMixture-of-experts → Vision mixture-of-experts
- Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric PerspectivesMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Sa2VA: Marrying SAM2 with MLLM for Dense Grounded Understanding of Images and VideosMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- RAG-Check: Evaluating Multimodal Retrieval Augmented Generation PerformanceMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Vision Language Models as Values DetectorsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A solvable model of learning generative diffusion: theory and insightsDiffusion models → Diffusion foundations and sampling
- MagicMirror: ID-Preserved Video Generation in Video Diffusion TransformersDiffusion models → Video generation
- Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and FeedbackLLM reasoning → Knowledge- and tool-augmented reasoning
- MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- Explainable Reinforcement Learning via Temporal Policy DecompositionDeep reinforcement learning methods → Interpretable and logic-guided RL
- LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision TokenMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Neural DNF-MT: A Neuro-symbolic Approach for Learning Interpretable and Editable PoliciesDeep reinforcement learning methods → Interpretable and logic-guided RL
- AlphaPO: Reward Shape Matters for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CL3DOR: Contrastive Learning for 3D Large Multimodal Models via Odds Ratio on High-Resolution Point CloudsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation ControlDiffusion models → Video generation
- Online Reinforcement Learning-Based Dynamic Adaptive Evaluation Function for Real-Time Strategy TasksDeep reinforcement learning methods → RL for games and combinatorial optimization
- KAnoCLIP: Zero-Shot Anomaly Detection through Knowledge-Driven Prompt Learning and Enhanced Cross-Modal IntegrationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Realistic Test-Time Adaptation of Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Self-adaptive vision-language model for 3D segmentation of pulmonary artery and veinMultimodal LLMs / vision-language models → Medical vision-language models
- Exploring Molecule Generation Using Latent Space Graph DiffusionDiffusion models → Flow matching, time series and science
- Run-and-tumble chemotaxis using reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
- SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentLLM reasoning → Reasoning benchmarks and evaluation
- SALE-Based Offline Reinforcement Learning with Ensemble Q-NetworksOffline RL and imitation learning from data → Offline RL algorithms
- SMIR: Efficient Synthetic Data Pipeline To Improve Multi-Image ReasoningLLM reasoning → Multimodal reasoning +2
- Imitation Learning of MPC with Neural Networks: Error Guarantees and SparsificationOffline RL and imitation learning from data → Imitation learning methods
- A Diversity-Enhanced Knowledge Distillation Model for Practical Math Word Problem SolvingKnowledge distillation → Knowledge distillation for LLMs
- MC-VTON: Minimal Control Virtual Try-On Diffusion TransformerDiffusion models → 3D, point cloud and scene generation
- LLAMADRS: Evaluating Open-Source LLMs on Real Clinical Interviews--To Reason or Not to Reason?LLM reasoning → Clinical and biomedical applications
- Cosmos World Foundation Model Platform for Physical AIWorld models → World models for language agents
- Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution PerspectiveDeep reinforcement learning methods → Adversarial robustness and RL in finance
- PromptGuard: Soft Prompt-Guided Unsafe Content Moderation for Text-to-Image ModelsLLM safety and security → Vision-language and text-to-image safety
- SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +1
- FgC2F-UDiff: Frequency-guided and Coarse-to-fine Unified Diffusion Model for Multi-modality Missing MRI SynthesisDiffusion models → Medical imaging and segmentation
- Align-Pro: A Principled Approach to Prompt Optimization for LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Reading with Intent -- Neutralizing IntentRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Conversational and speech RAG
- Where AI Assurance Might Go Wrong: Initial lessons from engineering of critical systems
- Behavioural Analytics: Mathematics of the Mind
- TOAST Framework: A Multidimensional Approach to Ethical and Sustainable AI Integration in Organizations
- Zoning in American Cities: Are Reforms Making a Difference? An AI-based Analysis
- Matrix Calculus (for Machine Learning and Beyond)
- Bayesian Model Parameter Learning in Linear Inverse Problems: Application in EEG Focal Source Imaging
- Cooperative Search and Track of Rogue Drones using Multiagent Reinforcement Learning
- Generating and Detecting Various Types of Fake Image and Audio Content: A Review of Modern Deep Learning Technologies and Tools
- asanAI: In-Browser, No-Code, Offline-First Machine Learning Toolkit
- A Distributed Hybrid Quantum Convolutional Neural Network for Medical Image Classification
- Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT
- Interpretable Auto Window Setting for Deep-Learning-Based CT Analysis
- Can Explainable AI Assess Personalized Health Risks from Indoor Air Pollution?
- Optimizing Supply Chain Networks with the Power of Graph Neural Networks
- Powerful Design of Small Vision Transformer on CIFAR10
- HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
- The textitQuestio de aqua et terra: A Computational Authorship Verification Study
- Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding
- Language and Planning in Robotic Navigation: A Multilingual Evaluation of State-of-the-Art Models
- IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry
- Modality-Invariant Bidirectional Temporal Representation Distillation Network for Missing Multimodal Sentiment Analysis
- Implicit Guidance and Explicit Representation of Semantic Information in Points Cloud: A Survey
- Topology-based deep-learning segmentation method for deep anterior lamellar keratoplasty (DALK) surgical guidance using M-mode OCT data
- Generative Style Transfer for MRI Image Segmentation: A Case of Glioma Segmentation in Sub-Saharan Africa
- AI-Driven Reinvention of Hydrological Modeling for Accurate Predictions and Interpretation to Transform Earth System Modeling
- SNR-EQ-JSCC: Joint Source-Channel Coding with SNR-Based Embedding and Query
- MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives
- Random weights of DNNs and emergence of fixed points
- HIVEX: A High-Impact Environment Suite for Multi-Agent Research (extended version)
- Generation from Noisy Examples
- Multimodal Multihop Source Retrieval for Web Question Answering
- Machine Learning for Identifying Grain Boundaries in Scanning Electron Microscopy (SEM) Images of Nanoparticle Superlattices
- Learning to Transfer Human Hand Skills for Robot Manipulations
- KGIF: Optimizing Relation-Aware Recommendations with Knowledge Graph Information Fusion
- Multilingual Open QA on the MIA Shared Task
- Chirpy3D: Part-Aware Multi-View Diffusion for Creative Fine-Grained Object Generation
- "Yeah Right!" -- Do LLMs Exhibit Multimodal Feature Transfer?
- Implementing Systemic Thinking for Automatic Schema Matching: An Agent-Based Modeling Approach
- Mixing Times and Privacy Analysis for the Projected Langevin Algorithm under a Modulus of Continuity
- Graph-Based Multimodal and Multi-view Alignment for Keystep Recognition
- TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
- DeepVIVONet: Using deep neural operators to optimize sensor locations with application to vortex-induced vibrations
- Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
- Neighbor displacement-based enhanced synthetic oversampling for multiclass imbalanced data
- NeRFs are Mirror Detectors: Using Structural Similarity for Multi-View Mirror Scene Reconstruction with 3D Surface Primitives
- Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
- Multi-armed Bandit and Backbone boost Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problems
- More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives
- Explainable Time Series Prediction of Tyre Energy in Formula One Race Strategy
- Fuzzy Information Entropy and Region Biased Matrix Factorization for Web Service QoS Prediction
- ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono
- Causal Machine Learning Methods for Estimating Personalised Treatment Effects -- Insights on validity from two large trials
- SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction
- LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
- Extraction Of Cumulative Blobs From Dynamic Gestures
- A Survey on Federated Learning in Human Sensing
All 224
- Adaptive Experiments Under Data Sparse Settings: Applications for Educational Platforms
- Synthetic Data for Portfolios: A Throw of the Dice Will Never Abolish Chance
- NeuralSVG: An Implicit Representation for Text-to-Vector Generation
- Influences on LLM Calibration: A Study of Response Agreement, Loss Functions, and Prompt Styles
- Semantically Cohesive Word Grouping in Indian Languages
- VLM-driven Behavior Tree for Context-aware Task Planning
- Temporal Feature Weaving for Neonatal Echocardiographic Viewpoint Video Classification
- Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States
- Synthetic Data Privacy Metrics
- Not all tokens are created equal: Perplexity Attention Weighted Networks for AI generated text detection
- Visual question answering: from early developments to recent advances -- a survey
- PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
- J-NeuS: Joint field optimization for Neural Surface reconstruction in urban scenes with limited image overlap
- From Newswire to Nexus: Using text-based actor embeddings and transformer networks to forecast conflict dynamics
- Explainable AI model reveals disease-related mechanisms in single-cell RNA-seq data
- Cosmological Parameter Estimation with Sequential Linear Simulation-based Inference
- HYB-VITON: A Hybrid Approach to Virtual Try-On Combining Explicit and Implicit Warping
- Exploring the Potential of Large Language Models in Public Transportation: San Antonio Case Study
- Superpixel Boundary Correction for Weakly-Supervised Semantic Segmentation on Histopathology Images
- SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation
- Stochastically Constrained Best Arm Identification with Thompson Sampling
- ZDySS -- Zero-Shot Dynamic Scene Stylization using Gaussian Splatting
- Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets through Strongly Scattering Media
- Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection
- Truthful mechanisms for linear bandit games with private contexts
- Improving Dialectal Slot and Intent Detection with Auxiliary Tasks: A Multi-Dialectal Bavarian Case Study
- Symmetry and Generalisation in Machine Learning
- Progressive Document-level Text Simplification via Large Language Models
- BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context
- Leveraging time and parameters for nonlinear model reduction methods
- Semise: Semi-supervised learning for severity representation in medical image
- BERTopic for Topic Modeling of Hindi Short Texts: A Comparative Study
- Machine learning applications in archaeological practices: a review
- MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention
- LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation
- SCC-YOLO: An Improved Object Detector for Assisting in Brain Tumor Diagnosis
- TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification
- Three-dimensional attention Transformer for state evaluation in real-time strategy games
- MeshConv3D: Efficient convolution and pooling operators for triangular 3D meshes
- Investigating the Impact of Data Selection Strategies on Language Model Performance
- Deep Sylvester Posterior Inference for Adaptive Compressed Sensing in Ultrasound Imaging
- The Choice of Normalization Influences Shrinkage in Regularized Regression
- Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits
- MADation: Face Morphing Attack Detection with Foundation Models
- Self-Adaptive ERP: Embedding NLP into Petri-Net creation and Model Matching
- How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
- Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights
- Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection
- Multi-label Cross-lingual automatic music genre classification from lyrics with Sentence BERT
- AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish
- Image Segmentation: Inducing graph-based learning
- SelectiveFinetuning: Enhancing Transfer Learning in Sleep Staging through Selective Domain Alignment
- Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
- A Multimodal Lightweight Approach to Fault Diagnosis of Induction Motors in High-Dimensional Dataset
- Re-Visible Dual-Domain Self-Supervised Deep Unfolding Network for MRI Reconstruction
- Detecting Neurocognitive Disorders through Analyses of Topic Evolution and Cross-modal Consistency in Visual-Stimulated Narratives
- Materialist: Physically Based Editing Using Single-Image Inverse Rendering
- Neural Deconstruction Search for Vehicle Routing Problems
- MoDec-GS: Global-to-Local Motion Decomposition and Temporal Interval Adjustment for Compact Dynamic 3D Gaussian Splatting
- Unsupervised Speech Segmentation: A General Approach Using Speech Language Models
- AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features
- Motion-Aware Generative Frame Interpolation
- Deep Networks are Reproducing Kernel Chains
- MAJL: A Model-Agnostic Joint Learning Framework for Music Source Separation and Pitch Estimation
- Action Quality Assessment via Hierarchical Pose-guided Multi-stage Contrastive Regression
- Hybrid Machine Learning Model with a Constrained Action Space for Trajectory Prediction
- Local Compositional Complexity: How to Detect a Human-readable Messsage
- DehazeGS: Seeing Through Fog with 3D Gaussian Splatting
- Data Augmentation for Deep Learning Regression Tasks by Machine Learning Models
- Effective and Efficient Mixed Precision Quantization of Speech Foundation Models
- Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets
- MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
- Exploring Iterative Manifold Constraint for Zero-shot Image Editing
- CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Heterogeneous Medical Images
- Joint Hierarchical Representation Learning of Samples and Features via Informed Tree-Wasserstein Distance
- Deep Learning-based Compression Detection for explainable Face Image Quality Assessment
- BTMTrack: Robust RGB-T Tracking via Dual-template Bridging and Temporal-Modal Candidate Elimination
- VTAO-BiManip: Masked Visual-Tactile-Action Pre-training with Object Understanding for Bimanual Dexterous Manipulation
- ConcealGS: Concealing Invisible Copyright Information in 3D Gaussian Splatting
- RecKG: Knowledge Graph for Recommender Systems
- A Value Mapping Virtual Staining Framework for Large-scale Histological Imaging
- Discriminative Representation learning via Attention-Enhanced Contrastive Learning for Short Text Clustering
- STContext: A Multifaceted Dataset for Developing Context-aware Spatio-temporal Crowd Mobility Prediction Models
- BASIC: Semi-supervised Multi-organ Segmentation with Balanced Subclass Regularization and Semantic-conflict Penalty
- From Code to Compliance: Assessing ChatGPT's Utility in Designing an Accessible Webpage -- A Case Study
- AADNet: Exploring EEG Spatiotemporal Information for Fast and Accurate Orientation and Timbre Detection of Auditory Attention Based on A Cue-Masked Paradigm
- Advanced Tutorial: Label-Efficient Two-Sample Tests
- Evaluating Image Caption via Cycle-consistent Text-to-Image Generation
- Applying Large Language Models in Knowledge Graph-based Enterprise Modeling: Challenges and Opportunities
- Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis
- KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs
- Beyond Factual Accuracy: Evaluating Coverage of Diverse Factual Information in Long-form Text Generation
- Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
- Enhanced Tuberculosis Bacilli Detection using Attention-Residual U-Net and Ensemble Classification
- Efficient and Accurate Tuberculosis Diagnosis: Attention Residual U-Net and Vision Transformer Based Detection Framework
- Anomaly Triplet-Net: Progress Recognition Model Using Deep Metric Learning Considering Occlusion for Manual Assembly Work
- TexHOI: Reconstructing Textures of 3D Unknown Objects in Monocular Hand-Object Interaction Scenes
- Vocal Tract Length Warped Features for Spoken Keyword Spotting
- Transfer Learning for Deep-Unfolded Combinatorial Optimization Solver with Quantum Annealer
- Salient Region Matching for Fully Automated MR-TRUS Registration
- A Sequential Optimal Learning Approach to Automated Prompt Engineering in Large Language Models
- An Empirical Study of Accuracy-Robustness Tradeoff and Training Efficiency in Self-Supervised Learning
- Can Deep Learning Trigger Alerts from Mobile-Captured Images?
- Textualize Visual Prompt for Image Editing via Diffusion Bridge
- Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
- Can LLMs Ask Good Questions?
- SceneBooth: Diffusion-based Framework for Subject-preserved Text-to-Image Generation
- Entropy-Guided Attention for Private LLMs
- VOILA: Complexity-Aware Universal Segmentation of CT images by Voxel Interacting with Language
- Women, Infamous, and Exotic Beings: A Comparative Study of Honorific Usages in Wikipedia and LLMs for Bengali and Hindi
- A study on performance limitations in Federated Learning
- Hyperbolic Binary Neural Network
- Information-Maximized Soft Variable Discretization for Self-Supervised Image Representation Learning
- DGSSA: Domain generalization with structural and stylistic augmentation for retinal vessel segmentation
- LHGNN: Local-Higher Order Graph Neural Networks For Audio Classification and Tagging
- ISSR: Iterative Selection with Self-Review for Vocabulary Test Distractor Generation
- Few-Shot Radar Signal Recognition through Self-Supervised Learning and Radio Frequency Domain Adaptation
- Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation
- Text to Band Gap: Pre-trained Language Models as Encoders for Semiconductor Band Gap Prediction
- Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
- Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems
- Physics-Constrained Generative Artificial Intelligence for Rapid Takeoff Trajectory Design
- Optimization Learning
- Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots