Papers
Fri 7 Mar 2025
282 papers
- Can Large Language Models Simulate Human Responses? A Case Study of Stated Preference Experiments in the Context of Heating-related ChoicesLLM reasoning → Reasoning benchmarks and evaluation +1
- DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- MagicInfinite: Generating Infinite Talking Videos with Your Words and VoiceDiffusion models → Audio, speech and music
- Enhancing Reasoning with Collaboration and MemoryLLM reasoning → Reasoning for agents, planning and code +1
- CASP: Compression of Large Multimodal Models Based on Attention SparsityMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Performance Comparisons of Reinforcement Learning Algorithms for Sequential Experimental DesignDeep reinforcement learning methods → Deep RL algorithms and representations
- MastermindEval: A Simple But Scalable Reasoning BenchmarkLLM reasoning → Reasoning for agents, planning and code
- Accelerating Earth Science Discovery via Multi-Agent LLM SystemsLLM agents and tool use → Multimodal and embodied agents
- EMCEE: Improving Multilingual Capability of LLMs via Bridging Knowledge and Reasoning with Extracted Synthetic Multilingual ContextLLM reasoning → Reasoning benchmarks and evaluation
- A Multi-Fidelity Control Variate Approach for Policy Gradient EstimationDeep reinforcement learning methods → RL theory and sample complexity
- GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- Fairness-Aware Low-Rank Representation Fine-TuningLLM safety and security → Machine unlearning
- AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic DataDiffusion models → Image generation, text-to-image and editing +1
- A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information RetrievalLLM agents and tool use → Agentic recommender systems
- NoT: Federated Unlearning via Weight NegationLLM safety and security → Federated unlearning and poisoning
- Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred SkillsLLM reasoning → Test-time compute and efficient thinking +1
- TrajectoryCrafter: Redirecting Camera Trajectory for Monocular Videos via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- Generalizing Robot Trajectories from Single-Context Human Demonstrations: A Probabilistic ApproachOffline RL and imitation learning from data → Robot learning from demonstration
- A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language ModelsMechanistic interpretability → SAE features and their applications
- R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding DataRetrieval-augmented generation → RAG robustness and adaptive retrieval
- QArtSR: Quantization via Reverse-Module and Timestep-Retraining in One-Step Diffusion based Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- InDRiVE: Intrinsic Disagreement based Reinforcement for Vehicle Exploration through Curiosity Driven Generalized World ModelWorld models → World models for autonomous driving +1
- Tractable Representations for Convergent Approximation of Distributional HJB EquationsDeep reinforcement learning methods → RL theory and sample complexity
- Diffusion Models for Cayley GraphsDiffusion models → Flow matching, time series and science
- Impoola: The Power of Average Pooling for Image-Based Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Accelerating db-A* for Kinodynamic Motion Planning Using DiffusionDiffusion models → Diffusion and flow policies for robotics
- Leveraging Approximate Caching for Faster Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept RepresentationsMechanistic interpretability → Sparse autoencoder training and evaluation
- The Society of HiveMind: Multi-Agent Optimization of Foundation Model Swarms to Unlock the Potential of Collective IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- Automatic Teaching Platform on Vision Language Retrieval Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Linear-MoE: Linear Sequence Modeling Meets Mixture-of-ExpertsMixture-of-experts → MoE large language models
- Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
- An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- AVA: Attentive VLM Agent for Mastering StarCraft IIMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement LearningMultimodal LLMs / vision-language models → Multimodal emotion understanding +1
- Shifting Perspectives: Steering Vectors for Robust Bias Mitigation in LLMsMechanistic interpretability → Probing deception, bias and beliefs
- Speculative Decoding for Multi-Sample InferenceLLM reasoning → Test-time compute and efficient thinking +1
- Coreference as an indicator of context scope in multimodal narrativeMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Constrained Reinforcement Learning for the Dynamic Inventory Routing Problem under Stochastic Supply and DemandDeep reinforcement learning methods → RL for energy, networks and operations
- Jailbreaking is (Mostly) Simpler Than You ThinkLLM safety and security → Jailbreaking
- CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory AugmentationLLM reasoning → Multimodal reasoning
- Mastering Continual Reinforcement Learning through Fine-Grained Sparse Network Allocation and Dormant Neuron ExplorationDeep reinforcement learning methods → Deep RL algorithms and representations
- MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and AudioLLM agents and tool use → Multimodal and embodied agents
- Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition EstimationDeep reinforcement learning methods → Deep RL algorithms and representations
- Unified Reward Model for Multimodal Understanding and GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Kaiwu: A Multimodal Manipulation Dataset and Framework for Robot Learning and Human-Robot InteractionOffline RL and imitation learning from data → Robot manipulation imitation learning
- Discrete Contrastive Learning for Diffusion Policies in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics
- Personalized Text Generation with Contrastive Activation SteeringMechanistic interpretability → Activation steering methods
- Knowledge Updating? No More Model Editing! Just Selective Contextual ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Policy Constraint by Only Support Constraint for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Data-Efficient Generalization for Zero-shot Composed Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Path Pooling: Training-Free Structure Enhancement for Efficient Knowledge Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Memory-augmented Query Reconstruction for LLM-based Knowledge Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward ModelingLLM reasoning → Test-time compute and efficient thinking +1
- Narrating the Video: Boosting Text-Video Retrieval via Comprehensive Utilization of Frame-Level CaptionsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Towards Temporal-Aware Multi-Modal Retrieval Augmented Generation in FinanceRetrieval-augmented generation → Legal and financial RAG
- Safety-Critical Traffic Simulation with Adversarial Transfer of Driving IntentionsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- Sketch-of-Thought: Efficient LLM Reasoning with Adaptive Cognitive-Inspired SketchingLLM reasoning → Prompting and chain-of-thought reasoning
- Accelerating Diffusion Transformer via Gradient-Optimized CacheDiffusion models → Diffusion foundations and sampling
- Generative Trajectory Stitching through Diffusion CompositionDiffusion models → Diffusion and flow policies for robotics
- Development and Enhancement of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Unity RL Playground: A Versatile Reinforcement Learning Framework for Mobile RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User DataLLM agents and tool use → Agentic AI for wireless networks
- Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUsMixture-of-experts → MoE large language models
- R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT ModelLLM reasoning → Multimodal reasoning
- Multi-Task Reinforcement Learning Enables Parameter ScalingDeep reinforcement learning methods → Deep RL algorithms and representations
- Look Before You Leap: Using Serialized State Machine for Language Conditioned Robotic ManipulationOffline RL and imitation learning from data → Language-conditioned policies and VLAs
- AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model ServingEfficient LLM inference and serving → Speculative decoding
- Visual Cues of Gender and Race are Associated with Stereotyping in Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Multi-Robot Collaboration through Reinforcement Learning and Abstract SimulationDeep reinforcement learning methods → RL for games and combinatorial optimization
- An End-to-End Learning-Based Multi-Sensor Fusion for Autonomous Vehicle LocalizationEnd-to-end autonomous driving → End-to-end system architecture
- Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse InputsDiffusion models → 3D, point cloud and scene generation
- On a Connection Between Imitation Learning and RLHFLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- Capacity-Aware Inference: Mitigating the Straggler Effect in Mixture of ExpertsMixture-of-experts → Efficient MoE training and inference systems
- Perceiving, Reasoning, Adapting: A Dual-Layer Framework for VLM-Guided Precision Robotic ManipulationLLM reasoning → Spatial and embodied reasoning +1
- A Causal Inference Approach for Quantifying Research Impact
- Language modelling techniques for analysing the impact of human genetic variation
- Improving RAG Retrieval via Propositional Content Extraction: a Speech Act Theory Approach
- Video Anomaly Detection with Structured Keywords
- Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows
- Blockchain As a Platform For Artificial Intelligence (AI) Transparency
- SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs
- GraphT5: Unified Molecular Graph-Language Modeling via Multi-Modal Cross-Token Attention
- MergeQuant: Accurate 4-bit Static Quantization of Large Language Models by Channel-wise Calibration
- Black Box Causal Inference: Effect Estimation via Meta Prediction
- Near-Polynomially Competitive Active Logistic Regression
- SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
- Learning-Order Autoregressive Models with Application to Molecular Graph Generation
- Is Your Video Language Model a Reliable Judge?
- LapLoss: Laplacian Pyramid-based Multiscale loss for Image Translation
- Optimal sensor deception in stochastic environments with partial observability to mislead a robot to a decoy goal
- A Real-time Multimodal Transformer Neural Network-powered Wildfire Forecasting System
- Partially Decentralized Multi-Agent Q-Learning via Digital Cousins for Wireless Networks
- Dependency-aware Maximum Likelihood Estimation for Active Learning
- Explaining the Unexplainable: A Systematic Review of Explainable AI in Finance
- Validating LLM-as-a-Judge Systems under Rating Indeterminacy
- Bayesian Graph Traversal
- OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cooking
- SANDWiCH: Semantical Analysis of Neighbours for Disambiguating Words in Context ad Hoc
All 282
- Enhanced Denoising and Convergent Regularisation Using Tweedie Scaling
- A Survey on Deep Learning Approaches for Tabular Data Generation: Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond
- TPU-Gen: LLM-Driven Custom Tensor Processing Unit Generator
- Bayesian Fields: Task-driven Open-Set Semantic Gaussian Splatting
- Uncertainty Quantification From Scaling Laws in Deep Neural Networks
- The Unified Control Framework: Establishing a Common Foundation for Enterprise AI Governance, Risk Management and Regulatory Compliance
- DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
- Training and Inference Efficiency of Encoder-Decoder Speech Models
- Audio-to-Image Encoding for Improved Voice Characteristic Detection Using Deep Convolutional Neural Networks
- ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games
- IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining
- From Style to Facts: Mapping the Boundaries of Knowledge Injection with Finetuning
- SAS: Segment Anything Small for Ultrasound -- A Non-Generative Data Augmentation Technique for Robust Deep Learning in Ultrasound Imaging
- Generalizable Image Repair for Robust Visual Control
- Bypassing orthogonalization in the quantum DPP sampler
- Towards Understanding the Use of MLLM-Enabled Applications for Visual Interpretation by Blind and Low Vision People
- Zero-shot Medical Event Prediction Using a Generative Pre-trained Transformer on Electronic Health Records
- QG-SMS: Enhancing Test Item Analysis via Student Modeling and Simulation
- Interpretable Visualizations of Data Spaces for Classification Problems
- Benchmarking AI Models in Software Engineering: A Review, Search Tool, and Unified Approach for Elevating Benchmark Quality
- Quantum-like cognition and decision making in the light of quantum measurement theory
- SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society
- This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs
- Evaluating Large Language Models in Code Generation: INFINITE Methodology for Defining the Inference Index
- Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance Analysis
- Machine Learned Force Fields: Fundamentals, its reach, and challenges
- Decadal analysis of sea surface temperature patterns, climatology, and anomalies in temperate coastal waters with Landsat-8 TIRS observations
- Slim attention: cut your context memory in half without loss -- K-cache is all you need for MHA
- WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
- Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
- Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
- On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
- BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
- Physics-based machine learning framework for predicting NOx emissions from compression ignition engines using on-board diagnostics data
- dARt Vinci: Egocentric Data Collection for Surgical Robot Learning at Scale
- VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control
- A Functional Approach to Curve Alignment and Shape Analysis
- Strategy Coopetition Explains the Emergence and Transience of In-Context Learning
- Joint 3D Point Cloud Segmentation using Real-Sim Loop: From Panels to Trees and Branches
- Exploring FMCW Radars and Feature Maps for Activity Recognition: A Benchmark Study
- Superintelligence Strategy: Expert Version
- FMT:A Multimodal Pneumonia Detection Model Based on Stacking MOE Framework
- Decision-aware training of spatiotemporal forecasting models to select a top K subset of sites for intervention
- Learning LLM Preference over Intra-Dialogue Pairs: A Framework for Utterance-level Understandings
- Conformal Prediction for Image Segmentation Using Morphological Prediction Sets
- Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)
- CACTUS: An Open Dataset and Framework for Automated Cardiac Assessment and Classification of Ultrasound Images Using Deep Transfer Learning
- On the similarity of bandwidth-tuned quantum kernels and classical kernels
- Progressively Deformable 2D Gaussian Splatting for Video Representation at Arbitrary Resolutions
- From Theory to Application: A Practical Introduction to Neural Operators in Scientific Computing
- Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
- MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification
- Scalable Unseen Objects 6-DoF Absolute Pose Estimation with Robotic Integration
- opXRD: Open Experimental Powder X-ray Diffraction Database
- BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
- Compliance of AI Systems
- TomatoScanner: phenotyping tomato fruit based on only RGB image
- Evaluating open-source Large Language Models for automated fact-checking
- Global graph features unveiled by unsupervised geometric deep learning
- Revitalizing Saturated Benchmarks: A Weighted Metric Approach for Differentiating Large Language Model Performance
- Stereo Any Video: Temporally Consistent Stereo Matching
- Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information
- Comparing regularisation paths of (conjugate) gradient estimators in ridge regression
- Disconnect to Connect: A Data Augmentation Method for Improving Topology Accuracy in Image Segmentation
- Riemann2: Learning Riemannian Submanifolds from Riemannian Data
- Additive Model Boosting: New Insights and Path(ologie)s
- S4M: 4-points to Segment Anything
- State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters
- Machine Learning for Improved Density Functional Theory Thermodynamics
- Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
- Cognitive Bias Detection Using Advanced Prompt Engineering
- Noise-Robust Radio Frequency Fingerprint Identification Using Denoise Diffusion Model
- Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?
- Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework
- EuroBERT: Scaling Multilingual Encoders for European Languages
- Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation
- Can LLMs Outshine Conventional Recommenders? A Comparative Evaluation
- FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction Framework
- Statistical Deficiency for Task Inclusion Estimation
- KIEval: Evaluation Metric for Document Key Information Extraction
- DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interaction
- Bridging the Semantic Gap in Virtual Machine Introspection and Forensic Memory Analysis
- Enhancing Network Security: A Hybrid Approach for Detection and Mitigation of Distributed Denial-of-Service Attacks Using Machine Learning
- Personalized Federated Learning via Learning Dynamic Graphs
- Controllable Complementarity: Subjective Preferences in Human-AI Collaboration
- Soft Policy Optimization: Online Off-Policy RL for Sequence Models
- LLM-based Iterative Approach to Metamodeling in Automotive
- Quantum-PEFT: Ultra parameter-efficient fine-tuning
- Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients
- Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
- Physics-based machine learning for fatigue lifetime prediction under non-uniform loading scenarios
- Learning High-Fidelity Robot Self-Model with Articulated 3D Gaussian Splatting
- Multi Agent based Medical Assistant for Edge Devices
- Static Program Analysis Guided LLM Based Unit Test Generation
- Ontology Generation using Large Language Models
- Leveraging Semantic Type Dependencies for Clinical Named Entity Recognition
- Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study
- Multi-Grained Feature Pruning for Video-Based Human Pose Estimation
- Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
- Improving Hate Speech Classification with Cross-Taxonomy Dataset Integration
- On the Logical Content of Knowledge Bases
- Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification
- GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation
- AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications
- Pretext Task Adversarial Learning for Unpaired Low-field to Ultra High-field MRI Synthesis
- Toward an Evaluation Science for Generative AI Systems
- New multimodal similarity measure for image registration via modeling local functional dependence with linear combination of learned basis functions
- PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
- CoMoGaussian: Continuous Motion-Aware Gaussian Splatting from Motion-Blurred Images
- Dynamic Knowledge Integration for Evidence-Driven Counter-Argument Generation with Large Language Models
- Fine-Grained Evaluation for Implicit Discourse Relation Recognition
- Routing for Large ML Models
- Graph Alignment via Birkhoff Relaxation
- Attenuation artifact detection and severity classification in intracoronary OCT using mixed image representations
- A Review on Riemannian Metric Learning: Closer to You than You Imagine
- To See a World in a Spark of Neuron: Disentangling Multi-task Interference for Training-free Model Merging
- Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation
- Uncertainty-Aware Decoding with Minimum Bayes Risk
- CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence
- LoRACode: LoRA Adapters for Code Embeddings
- Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
- Frequency Autoregressive Image Generation with Continuous Tokens
- Robust Intrusion Detection System with Explainable Artificial Intelligence
- An Analytical Model for Overparameterized Learning Under Class Imbalance
- Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces
- Similarity-Based Domain Adaptation with LLMs
- Revealing Hidden Mechanisms of Cross-Country Content Moderation with Natural Language Processing
- Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction
- ZOGRASCOPE: A New Benchmark for Semantic Parsing over Property Graphs
- PhiloBERTA: A Transformer-Based Cross-Lingual Analysis of Greek and Latin Lexicons
- A Map-free Deep Learning-based Framework for Gate-to-Gate Monocular Visual Navigation aboard Miniaturized Aerial Vehicles
- ColFigPhotoAttnNet: Reliable Finger Photo Presentation Attack Detection Leveraging Window-Attention on Color Spaces
- L-FUSION: Laplacian Fetal Ultrasound Segmentation & Uncertainty Estimation
- WritingBench: A Comprehensive Benchmark for Generative Writing
- Robust Conformal Prediction with a Single Binary Certificate
- RecipeGen: A Benchmark for Real-World Recipe Image Generation
- MOHPER: Multi-objective Hyperparameter Optimization Framework for E-commerce Retrieval System
- Reward-Centered ReST-MCTS: A Robust Decision-Making Framework for Robotic Manipulation in High Uncertainty Environments
- Deep Sequence Models for Predicting Average Shear Wave Velocity from Strong Motion Records
- DiVISe: Direct Visual-Input Speech Synthesis Preserving Speaker Characteristics And Intelligibility
- Separability Membrane: 3D Active Contour for Point Cloud Surface Reconstruction
- Robustness of Generalized Median Computation for Consensus Learning in Arbitrary Spaces
- Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
- Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach
- ORANSight-2.0: Foundational LLMs for O-RAN
- STGA: Selective-Training Gaussian Head Avatars
- Uncertainty-Aware Explainable Federated Learning
- Partially Supervised Unpaired Multi-Modal Learning for Label-Efficient Medical Image Segmentation
- Spectral-Spatial Extraction through Layered Tensor Decomposition for Hyperspectral Anomaly Detection
- MGSR: 2D/3D Mutual-boosted Gaussian Splatting for High-fidelity Surface Reconstruction under Various Light Conditions
- Self-Supervised Penalty-Based Learning for Robust Constrained Optimization
- SplatPose: Geometry-Aware 6-DoF Pose Estimation from Single RGB Image via 3D Gaussian Splatting
- Leveraging Spatial Context for Positive Pair Sampling in Histopathology Image Representation Learning
- phepy: Visual benchmarks and improvements for out-of-distribution detectors
- FMASH: Advancing Traditional Chinese Medicine Formula Recommendation with Efficient Fusion of Multiscale Associations of Symptoms and Herbs
- A Comprehensive LLM-powered Framework for Driving Intelligence Evaluation
- EvolvingGS: High-Fidelity Streamable Volumetric Video via Evolving 3D Gaussian Representation
- GaussianCAD: Robust Self-Supervised CAD Reconstruction from Three Orthographic Views Using 3D Gaussian Splatting
- Cluster weighted models for functional data
- Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy
- Interpersonal Memory Matters: A New Task for Proactive Dialogue Utilizing Conversational History
- RocketEval: Efficient Automated LLM Evaluation via Grading Checklist
- HexPlane Representation for 3D Semantic Scene Understanding
- EDM: Efficient Deep Feature Matching
- AI-driven Prediction of Insulin Resistance in Normal Populations: Comparing Models and Criteria
- SMILENet: Unleashing Extra-Large Capacity Image Steganography via a Synergistic Mosaic InvertibLE Hiding Network
- TS-LIF: A Temporal Segment Spiking Neuron Network for Time Series Forecasting
- We Care Each Pixel: Calibrating on Medical Segmentation Model
- Grouped Sequential Optimization Strategy -- the Application of Hyperparameter Importance Assessment in Deep Learning
- AutoTestForge: A Multidimensional Automated Testing Framework for Natural Language Processing Models
- Empirical Bound Information-Directed Sampling for Norm-Agnostic Bandits
- Partial Distribution Alignment via Adaptive Optimal Transport
- Fake It To Make It: Virtual Multiviews to Enhance Monocular Indoor Semantic Scene Completion
- S2S-Arena: Evaluating Paralinguistic Instruction Following in Speech-to-Speech Models
- Object Packing and Scheduling for Sequential 3D Printing: a Linear Arithmetic Model and a CEGAR-inspired Optimal Solver
- PromptPex: Automatic Test Generation for Language Model Prompts
- A new local time-decoupled squared Wasserstein-2 method for training stochastic neural networks to reconstruct uncertain parameters in dynamical systems
- The study of short texts in digital politics: Document aggregation for topic modeling
- Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach
- No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding
- ModernBERT is More Efficient than Conventional BERT for Chest CT Findings Classification in Japanese Radiology Reports
- Accelerated Patient-specific Non-Cartesian MRI Reconstruction using Implicit Neural Representations