Papers
Wed 5 Mar 2025
338 papers
- Human Preferences for Constructive Interactions in Language Model AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease IdentificationMixture-of-experts → Medical and biomedical MoE
- Mixture of Experts Made Intrinsically InterpretableMixture-of-experts → MoE large language models
- Advancing Multimodal In-Context Learning in Large Vision-Language Models with Task-aware DemonstrationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- E2AT: Multimodal Jailbreak Defense via Dynamic Joint Optimization for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Lightweight Embedded FPGA Deployment of Learned Image Compression with Knowledge Distillation and Hybrid QuantizationKnowledge distillation → General knowledge distillation methods
- Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-AgentsLLM agents and tool use → Social simulation and multi-agent debate
- Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- ProReflow: Progressive Reflow with Decomposed VelocityDiffusion models → Flow matching, time series and science
- All-atom Diffusion Transformers: Unified generative modelling of molecules and materialsDiffusion models → Flow matching, time series and science
- Enhancing Autonomous Driving Safety with Collision Scenario IntegrationEnd-to-end autonomous driving → Adversarial scenarios and safety testing +1
- GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective BackdoorsDiffusion models → Robustness, privacy and adversarial aspects +1
- LensDFF: Language-enhanced Sparse Feature Distillation for Efficient Few-Shot Dexterous ManipulationKnowledge distillation → Multimodal distillation
- Seldonian Reinforcement Learning for Ad Hoc TeamworkOffline RL and imitation learning from data → Offline RL algorithms +1
- Vision-Language Models Struggle to Align Entities across ModalitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Decoupling the components of geometric understanding in Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multi-Agent Systems Powered by Large Language Models: Applications in Swarm IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
- VoiceGRPO: Modern MoE Transformers with Group Relative Policy Optimization GRPO for AI Voice Health Care Applications on Voice Pathology DetectionMixture-of-experts → Multimodal MoE models
- Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV SwarmLLM agents and tool use → Reinforcement learning for LLM agents +1
- Positive-Unlabeled Diffusion Models for Preventing Sensitive Data GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion ModelDiffusion models → Inverse problems and image restoration
- The MASK Benchmark: Disentangling Honesty From Accuracy in AI SystemsLLM agents and tool use → Social simulation and multi-agent debate
- Process-based Self-Rewarding Language ModelsLLM reasoning → Reinforcement learning for reasoning +1
- OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature ExtractionVision-language-action models → Generalist VLA models and benchmarks
- Towards Understanding Distilled Reasoning Models: A Representational ApproachLLM reasoning → Prompting and chain-of-thought reasoning +1
- Improving LLM Safety Alignment with Dual-Objective OptimizationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Rethinking Video Tokenization: A Conditioned Diffusion-based ApproachDiffusion models → Video generation
- Memory Injection Attacks on LLM Agents via Query-Only InteractionLLM agents and tool use → Agent threats, guardrails and governance
- ILLC: Iterative Layer-by-Layer Compression for Enhancing Structural Faithfulness in SpArXLLM reasoning → Test-time compute and efficient thinking
- DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward GuidanceDiffusion models → Diffusion and flow policies for robotics
- MAS-GPT: Training LLMs to Build LLM-based Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Attentive Reasoning Queries: A Systematic Method for Optimizing Instruction-Following in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Analogical Reasoning Inside Large Language Models: Concept Vectors and the Limits of AbstractionLLM reasoning → Reasoning benchmarks and evaluation
- Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step ReturnsDeep reinforcement learning methods → RL theory and sample complexity
- Psy-Copilot: Visual Chain of Thought for CounselingLLM reasoning → Clinical and biomedical applications
- Feature-Level Insights into Artificial Text Detection with Sparse AutoencodersMechanistic interpretability → SAE features and their applications
- Towards Understanding Text Hallucination of Diffusion Models via Local Generation BiasDiffusion models → Medical imaging and segmentation
- Benchmarking LLMs and LLM-based Agents in Practical Vulnerability Detection for Code RepositoriesLLM agents and tool use → Agent threats, guardrails and governance
- Efficiency of Parallel and Restart Exploration Strategies in Model Free Stochastic SimulationsDeep reinforcement learning methods → RL theory and sample complexity
- Afford-X: Generalizable and Slim Affordance Reasoning for Task-oriented ManipulationLLM reasoning → Spatial and embodied reasoning
- DO-IQS: Dynamics-Aware Offline Inverse Q-Learning for Optimal Stopping with Unknown Gain FunctionsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Parallelized Planning-Acting for Efficient LLM-based Multi-Agent Systems in MinecraftLLM agents and tool use → Reinforcement learning for LLM agents
- Geometry-Guided Adversarial Prompt Detection via Curvature and Local Intrinsic DimensionLLM safety and security → Jailbreaking
- SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained LearningVision-language-action models → Safety and adversarial attacks +2
- Continuous Control of Diverse Skills in Quadruped Robots Without Complete Expert DatasetsOffline RL and imitation learning from data → Imitation learning methods
- Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Unified Mind Model: Reimagining Autonomous Agents in the LLM EraLLM agents and tool use → General LLM agent frameworks and benchmarks
- Data Poisoning Attacks to Locally Differentially Private Range Query ProtocolsLLM safety and security → Membership inference attacks
- JamMa: Ultra-lightweight Local Feature Matching with Joint MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
- RASD: Retrieval-Augmented Speculative DecodingRetrieval-augmented generation → Generation and context integration +1
- Rethinking Video Super-Resolution: Towards Diffusion-Based Methods without Motion AlignmentDiffusion models → Inverse problems and image restoration
- EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity StatesLLM reasoning → Reasoning benchmarks and evaluation
- Navigating Intelligence: A Survey of Google OR-Tools and Machine Learning for Global Path Planning in Autonomous VehiclesEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
- See What You Are Told: Visual Attention Sink in Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- The Box is in the Pen: Evaluating Commonsense Reasoning in Neural Machine TranslationLLM reasoning → Reasoning benchmarks and evaluation
- Enhancing Abnormality Grounding for Vision Language Models with Knowledge DescriptionsMultimodal LLMs / vision-language models → Medical vision-language models
- Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum SystemsDeep reinforcement learning methods → RL for energy, networks and operations
- Optimizing for the Shortest Path in Denoising Diffusion ModelDiffusion models → Diffusion foundations and sampling
- Less is more? Rewards in RL for Cyber DefenceDeep reinforcement learning methods → Adversarial robustness and RL in finance
- FANS -- Formal Answer Selection for Natural Language Math Reasoning Using Lean4LLM reasoning → Mathematical reasoning
- COSINT-Agent: A Knowledge-Driven Multimodal Agent for Chinese Open Source IntelligenceLLM agents and tool use → Multimodal and embodied agents
- Convergence Rates for Softmax Gating Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
- Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow EnvironmentDeep reinforcement learning methods → RL for robot locomotion and manipulation
- An Analytical Theory of Spectral Bias in the Learning Dynamics of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem ProvingLLM reasoning → Mathematical reasoning
- Variance-Aware Loss Scheduling for Multimodal Alignment in Low-Data SettingsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SpiritSight Agent: Advanced GUI Agent with One LookLLM agents and tool use → GUI and mobile agents
- Position: Model Collapse Does Not Mean What You ThinkSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Causality-Based Reinforcement Learning Method for Multi-Stage Robotic TasksDeep reinforcement learning methods → Deep RL algorithms and representations
- Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural NetworksKnowledge distillation → Distillation for spiking neural networks
- Towards Understanding Multi-Round Large Language Model Reasoning: Approximability, Learnability and GeneralizabilityLLM reasoning → Reasoning benchmarks and evaluation
- Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- WarmFed: Federated Learning with Warm-Start for Globalization and Personalization Via Personalized Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- From Architectural Sketch to Conceptual Representation: Using Structure-Aware Diffusion Model to Generate Renderings of School BuildingsDiffusion models → 3D, point cloud and scene generation
- AirExo-2: Scaling up Generalizable Robotic Imitation Learning with Low-Cost ExoskeletonsOffline RL and imitation learning from data → Robot manipulation imitation learning
- BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Joint Group Profiling and Recommendation via Deep Neural Network-based Multi-Task Learning
- CodeIF-Bench: Evaluating Instruction-Following Capabilities of Large Language Models in Interactive Code Generation
- Qieemo: Speech Is All You Need in the Emotion Recognition in Conversations
- Identifying Ising and percolation phase transitions based on KAN method
- LeRAAT: LLM-Enabled Real-Time Aviation Advisory Tool
- WVEmbs with its Masking: A Method For Radar Signal Sorting
- Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing
- Towards Resilient and Sustainable Global Industrial Systems: An Evolutionary-Based Approach
- Review of Machine Learning for Micro-Electronic Design Verification
- Multimodal Stock Price Prediction: A Case Study of the Russian Securities Market
- Deep ARTMAP: Generalized Hierarchical Learning with Adaptive Resonance Theory
- Leveraging Taxonomy Similarity for Next Activity Prediction in Patient Treatment
- Is Pre-training Applicable to the Decoder for Dense Prediction?
- An Optimization Algorithm for Multimodal Data Alignment
- Cross-modal Causal Relation Alignment for Video Question Grounding
- Impact of Level 2/3 Automated Driving Technology on Road Work Zone Safety
- Beyond H&E: Unlocking Pathological Insights with Polarization Imaging
- Market-based Architectures in RL and Beyond
- Introduction to Artificial Consciousness: History, Current Trends and Ethical Challenges
- The impact of AI and peer feedback on research writing skills: a study using the CGScholar platform among Kazakhstani scholars
- Enhancing Collective Intelligence in Large Language Models Through Emotional Integration
- Three tiers of computation in transformers and in brain architectures
- Role of Databases in GenAI Applications
All 338
- Narrative Context Protocol: An Open-Source Storytelling Framework for Generative AI
- Self-Supervised Z-Slice Augmentation for 3D Bio-Imaging via Knowledge Distillation
- Replicating Human Social Perception in Generative AI: Evaluating the Valence-Dominance Model
- Framing the Game: How Context Shapes LLM Decision-Making
- Combined Physics and Event Camera Simulator for Slip Detection
- FedPalm: A General Federated Learning Framework for Closed- and Open-Set Palmprint Verification
- PGAD: Prototype-Guided Adaptive Distillation for Multi-Modal Learning in AD Diagnosis
- Distilling Dataset into Neural Field
- Extrapolation Merging: Keep Improving With Extrapolation and Merging
- "Only ChatGPT gets me": An Empirical Analysis of GPT versus other Large Language Models for Emotion Detection in Text
- StickMotion: Generating 3D Human Motions by Drawing a Stickman
- Beyond Next Word Prediction: Developing Comprehensive Evaluation Frameworks for measuring LLM performance on real world applications
- Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching
- DA-STGCN: 4D Trajectory Prediction Based on Spatiotemporal Feature Extraction
- HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
- RGB-Thermal Infrared Fusion for Robust Depth Estimation in Complex Environments
- Data-driven identification of nonlinear dynamical systems with LSTM autoencoders and Normalizing Flows
- Preliminary Report: Enhancing Role Differentiation in Conversational HCI Through Chromostereopsis
- Generative Learning of Densities on Manifolds
- On the Acquisition of Shared Grammatical Representations in Bilingual Language Models
- A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
- Performance Comparison of Large Language Models on Advanced Calculus Problems
- Improving the Temporal Resolution of SOHO/MDI Magnetograms of Solar Active Regions Using a Deep Generative Model
- Dyads: Artist-Centric, AI-Generated Dance Duets
- WIP: Assessing the Effectiveness of ChatGPT in Preparatory Testing Activities
- COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation
- SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection
- LLM-Powered Prediction of Hyperglycemia and Discovery of Behavioral Treatment Pathways from Wearables and Diet
- Tec-Habilidad: Skill Classification for Bridging Education and Employment
- "Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications
- De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design
- Improved Robust Estimation for ErdHos-R'enyi Graphs: The Sparse Regime and Optimal Breakdown Point
- CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance
- Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
- Safe LLM-Controlled Robots with Formal Guarantees via Reachability Analysis
- On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness
- Neural Descriptors: Self-Supervised Learning of Robust Local Surface Descriptors Using Polynomial Patches
- The Signed Two-Space Proximity Model for Learning Representations in Protein-Protein Interaction Networks
- Pretrained LLMs as Real-Time Controllers for Robot Operated Serial Production Line
- IC-Mapper: Instance-Centric Spatio-Temporal Modeling for Online Vectorized Map Construction
- LEWIS (LayEr WIse Sparsity) -- A Training Free Guided Model Merging Approach
- Learning to Negotiate via Voluntary Commitment
- Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions
- Nexar Dashcam Collision Prediction Dataset and Challenge
- Task-Agnostic Attacks Against Vision Foundation Models
- The Optical and Infrared Are Connected
- Non-Gaussianities in Collider Metric Binning
- EgoLife: Towards Egocentric Life Assistant
- RiskAgent: Synergizing Language Models with Validated Tools for Evidence-Based Risk Prediction
- DeepGrav: Anomalous Gravitational-Wave Detection Through Deep Latent Features
- Synthetic Data Augmentation for Enhancing Harmful Algal Bloom Detection with Machine Learning
- Rebalanced Multimodal Learning with Data-aware Unimodal Sampling
- Predicting Team Performance from Communications in Simulated Search-and-Rescue
- Sarcasm Detection as a Catalyst: Improving Stance Detection with Cross-Target Capabilities
- Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
- Neural Models of Task Adaptation: A Tutorial on Spiking Networks for Executive Control
- GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Control
- PacketCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning
- Constrained Gaussian Wasserstein Optimal Transport with Commutative Covariance Matrices
- CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning
- Opportunistic Routing in Wireless Communications via Learnable State-Augmented Policies
- Rethinking Deep Clustering Paradigms: Self-Supervision Is All You Need
- Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series
- Active 6D Pose Estimation for Textureless Objects using Multi-View RGB Frames
- Deep Causal Behavioral Policy Learning: Applications to Healthcare
- Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
- Handling Uncertainty in Health Data using Generative Algorithms
- Curating Demonstrations using Online Experience
- Enhancing LLM Knowledge Learning through Generalization
- SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches
- Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
- Towards Trustworthy Federated Learning
- Quantification of Tenseness in English and Japanese Tense-Lax Vowels: A Lagrangian Model with Indicator θ1 and Force of Tenseness Ftense(t)
- Optimally Installing Strict Equilibria
- A Generative Approach to High Fidelity 3D Reconstruction from Text Data
- LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant
- Conformal prediction of future insurance claims in the regression problem
- Robust Learning of Diverse Code Edits
- Improving 6D Object Pose Estimation of metallic Household and Industry Objects
- Improving Neutral Point-of-View Generation with Data- and Parameter-Efficient RL
- Token-Level Privacy in Large Language Models
- DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles
- Limits of nonlinear and dispersive fiber propagation for an optical fiber-based extreme learning machine
- DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms
- An Adaptive Underwater Image Enhancement Framework via Multi-Domain Fusion and Color Compensation
- L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion
- Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
- Deterministic Global Optimization of the Acquisition Function in Bayesian Optimization: To Do or Not To Do?
- It's My Data Too: Private ML for Datasets with Multi-User Training Examples
- CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
- Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling
- Decoupled Recommender Systems: Exploring Alternative Recommender Ecosystem Designs
- REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation
- Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
- English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance
- PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention
- Scaling Crowdsourced Election Monitoring: Construction and Evaluation of Classification Models for Multilingual and Cross-Domain Classification Settings
- Intent-Handover: Grounding Language in Human-Usage Regions for Trustworthy Robot-to-Human Handovers
- Optimal Decision Tree Pruning Revisited: Algorithms and Complexity
- Olympus: A Jumping Quadruped for Planetary Exploration Utilizing Reinforcement Learning for In-Flight Attitude Control
- Domain Consistent Industrial Decarbonisation of Global Coal Power Plants
- A Conceptual Model for Attributions in Event-Centric Knowledge Graphs
- Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection
- Transformer-Based Power Optimization for Max-Min Fairness in Cell-Free Massive MIMO
- High-Quality Virtual Single-Viewpoint Surgical Video: Geometric Autocalibration of Multiple Cameras in Surgical Lights
- Simulation-Based Performance Evaluation of 3D Object Detection Methods with Deep Learning for a LiDAR Point Cloud Dataset in a SOTIF-related Use Case
- Revisiting the Role of Relearning in Semantic Dementia
- A self-supervised cyclic neural-analytic approach for novel view synthesis and 3D reconstruction
- A Criterion for Extending Continuous-Mixture Identifiability Results
- Unified Human Localization and Trajectory Prediction with Monocular Vision
- AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
- AdaSin: Enhancing Hard Sample Metrics with Dual Adaptive Penalty for Face Recognition
- Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios
- O-RAN Xapps Conflict Prediction Using Graph Convolutional Networks
- Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization
- An Aspect Extraction Framework using Different Embedding Types, Learning Models, and Dependency Structure
- NeuGrasp: Generalizable Neural Surface Reconstruction with Background Priors for Material-Agnostic Object Grasp Detection
- Mineral segmentation using electron microscope images and spectral sampling through multimodal graph neural networks
- Opinion: Revisiting synthetic data classifications from a privacy perspective
- Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
- CarGait: Cross-Attention based Re-ranking for Gait recognition
- State-offset Tuning: State-based Parameter-Efficient Fine-Tuning for State Space Models
- Deictic Codes, Demonstratives, and Reference: A Step Toward Solving the Grounding Problem
- Find First, Track Next: Decoupling Identification and Propagation in Referring Video Object Segmentation
- Federated Learning for Predicting Mild Cognitive Impairment to Dementia Conversion
- Differentially Private Learners for Heterogeneous Treatment Effects
- TEDDY: A Family Of Foundation Models For Understanding Single Cell Biology
- Feature Point Extraction for Extra-Affine Image
- Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction
- Enhancing Spoken Discourse Modeling in Language Models Using Gestural Cues
- DTU-Net: A Multi-Scale Dilated Transformer Network for Nonlinear Hyperspectral Unmixing
- Open-Source Large Language Models as Multilingual Crowdworkers: Synthesizing Open-Domain Dialogues in Several Languages With No Examples in Targets and No Machine Translation
- Active Learning for Deep Learning-Based Hemodynamic Parameter Estimation
- Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
- Taxation Perspectives from Large Language Models: A Case Study on Additional Tax Penalties
- Conceptualizing Uncertainty: A Concept-based Approach to Explaining Uncertainty
- Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning
- CoSDH: Communication-Efficient Collaborative Perception via Supply-Demand Awareness and Intermediate-Late Hybridization
- Privacy is All You Need: Revolutionizing Wearable Health Data with Advanced PETs
- Sharp Risk Bounds for Early-Stopping in Gaussian Linear Regression
- Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction
- Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem
- When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits
- Augmentation-Based Deep Learning for Identification of Circulating Tumor Cells
- Evolutionary Prediction Games
- Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary
- AI-Driven Multi-Stage Computer Vision System for Defect Detection in Laser-Engraved Industrial Nameplates
- Multi-Agent DRL for Queue-Aware Task Offloading in Hierarchical MEC-Enabled Air-Ground Networks
- GNNMerge: Merging of GNN Models Without Accessing Training Data
- Paths and Ambient Spaces in Neural Loss Landscapes
- The Serendipity of Claude AI: Case of the 13 Low-Resource National Languages of Mali
- A Novel Multi-Criteria Local Latin Hypercube Refinement System for Commutation Angle Improvement in IPMSMs
- AdaptiveCDM: Source-Free Few-Shot Domain Adaptation for Cell Detection in Microscopic Images
- Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation
- TopoMortar: A dataset to evaluate image segmentation methods focused on topology accuracy
- Concepts Learned Visually by Infants Can Contribute to Visual Learning and Understanding in AI Models
- Transformers for molecular property prediction: Domain adaptation efficiently improves performance
- Statistical Limits in Random Tensors with Multiple Correlated Spikes
- Leveraging Large Language Models to Develop Heuristics for Emerging Optimization Problems
- iNews: A Multimodal Dataset for Modeling Personalized Affective Responses to News
- Leap: Inductive Link Prediction via Learnable TopologyAugmentation
- Automated Attendee Recognition System for Large-Scale Social Events or Conference Gathering
- Deep Learning-Based Diffusion MRI Tractography: Integrating Spatial and Anatomical Information
- ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion Segmentation
- Golden Cudgel Network for Real-Time Semantic Segmentation
- LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
- Full-DoF Egomotion Estimation for Event Cameras Using Geometric Solvers
- SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection
- Differential Machine Learning for Time Series Prediction
- Which books do I like?
- Label-Efficient LiDAR Semantic Segmentation with 2D-3D Vision Transformer Adapters
- Interactive Segmentation and Report Generation for CT Images
- Deep Understanding of Sign Language for Sign to Subtitle Alignment
- Enhancing Visual Forced Alignment with Local Context-Aware Feature Extraction and Multi-Task Learning
- Enhancing Vietnamese VQA through Curriculum Learning on Raw and Augmented Text Representations
- Gaussian highpass guided image filtering
- Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations
- BEVMOSNet: Multimodal Fusion for BEV Moving Object Segmentation
- TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization
- Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
- Reduced Spatial Dependency for More General Video-level Deepfake Detection
- Conformal Transformations for Symmetric Power Transformers
- LexGenie: Automated Generation of Structured Reports for European Court of Human Rights Case Law
- Trajectory Prediction for Autonomous Driving: Progress, Limitations, and Future Directions
- Can Frontier LLMs Replace Annotators in Biomedical Text Mining? Analyzing Challenges and Exploring Solutions
- BANet: Bilateral Aggregation Network for Mobile Stereo Matching
- Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
- BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation
- Computational Analysis of Degradation Modeling in Blind Panoramic Image Quality Assessment
- Two-Stream Thermal Imaging Fusion for Enhanced Time of Birth Detection in Neonatal Care
- Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
- PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms
- Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model
- GenColor: Generative Color-Concept Association in Visual Design
- Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints
- Targeted Distillation for Sentiment Analysis
- Mocap-2-to-3: Multi-view Lifting for Monocular Motion Recovery with 2D Pretraining
- Rice Grain Size Measurement using Image Processing
- NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
- Find Matching Faces Based On Face Parameters
- Towards Robust Universal Information Extraction: Benchmark, Evaluation, and Solution
- Transformer-Based Spatio-Temporal Association of Apple Fruitlets
- Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
- Online Bidding under RoS Constraints without Knowing the Value
- Structured Outputs Enable General-Purpose LLMs to be Medical Experts
- DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering
- Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation
- PAC Learning with Improvements
- Active operator learning with predictive uncertainty quantification for partial differential equations
- Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection
- AttackSeqBench: Benchmarking the Capabilities of LLMs for Attack Sequences Understanding
- A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
- SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
- Dimensionality reduction for homological stability and global structure preservation
- DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models
- Partial Convolution Meets Visual Attention
- A Survey of Foundation Models for Environmental Science
- Implicit U-KAN2.0: Dynamic, Efficient and Interpretable Medical Image Segmentation
- Task-Agnostic Federation over Decentralized Data: Research Landscape and Visions
- Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
- Learning to Reduce Search Space for Generalizable Neural Routing Solver
- Bridging Molecular Graphs and Large Language Models
- Dynamic Neural Surfaces for Elastic 4D Shape Representation and Analysis
- Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers
- NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics
- Predicting Space Tourism Demand Using Explainable AI
- A Multimodal Framework for Topic Propagation Classification in Social Networks
- An Improved Pure Fully Connected Neural Network for Rice Grain Classification
- OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
- External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
- Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation
- RVAFM: Re-parameterizing Vertical Attention Fusion Module for Handwritten Paragraph Text Recognition
- Fast Jet Tagging with MLP-Mixers on FPGAs
- MuCo-KGC: Multi-Context-Aware Knowledge Graph Completion
- AHCQ-SAM: Toward Accurate and Hardware-Compatible Post-Training Segment Anything Model Quantization
- Hopfield Networks Meet Big Data: A Brain-Inspired Deep Learning Framework for Semantic Data Linking
- A Linear Theory of Multi-Winner Voting
- Multi-View Depth Consistent Image Generation Using Generative AI Models: Application on Architectural Design of University Buildings