Papers
Tue 4 Nov 2025
332 papers
- V-Agent: An Interactive Video Search System Using Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- Evaluating Large Language Models for Workload Mapping and Scheduling in Heterogeneous HPC SystemsLLM reasoning → Test-time compute and efficient thinking
- Mina: A Multilingual LLM-Powered Legal Assistant Agent for Bangladesh for Empowering Access to JusticeLLM agents and tool use → Social simulation and multi-agent debate
- A Preliminary Study of RAG for Taiwanese Historical ArchivesRetrieval-augmented generation → RAG pipeline design and evaluation
- Fine-Tuning Vision-Language Models for Multimodal Polymer Property PredictionMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Video Text Preservation with Synthetic Text-Rich VideosDiffusion models → Video generation
- C3-Diff: Super-resolving Spatial Transcriptomics via Cross-modal Cross-content Contrastive Diffusion ModellingDiffusion models → Medical imaging and segmentation
- In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical MicroscopyMultimodal LLMs / vision-language models → Medical vision-language models
- M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly DetectionState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Effective Test-Time Scaling of Discrete Diffusion through Iterative RefinementLLM reasoning → Diffusion reasoning and test-time scaling +1
- Diversified Flow Matching with Translation IdentifiabilityDiffusion models → Flow matching, time series and science
- WorldPlanner: Monte Carlo Tree Search and MPC with Action-Conditioned Visual World ModelsWorld models → Embodied and robot world models
- A Collaborative Reasoning Framework for Anomaly Diagnostics in Underwater RoboticsLLM reasoning → Spatial and embodied reasoning
- No-Human in the Loop: Agentic Evaluation at Scale for RecommendationLLM agents and tool use → Agentic recommender systems
- PublicAgent: Multi-Agent Design Principles From an LLM-Based Open Data Analysis FrameworkLLM agents and tool use → Web, search, and research agents
- SLIP: Structural-aware Language-Image Pretraining for Vision-Language AlignmentMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Discrete Bayesian Sample Inference for Graph GenerationDiffusion models → Flow matching, time series and science
- Error-Aware Knowledge Distillation via Targeted Revision for Customer-Service SummarizationKnowledge distillation → Knowledge distillation for LLMs
- Evaluating Control Protocols for Untrusted AI AgentsLLM safety and security → Prompt injection and agent security
- SCALE-VLP: Soft-Weighted Contrastive Volumetric Vision-Language Pre-training with Spatial-Knowledge SemanticsMultimodal LLMs / vision-language models → Medical vision-language models
- Scalable Single-Cell Gene Expression Generation with Latent Diffusion ModelsDiffusion models → Flow matching, time series and science
- Value of Information-Enhanced Exploration in Bootstrapped DQNDeep reinforcement learning methods → Deep RL algorithms and representations
- Cache Mechanism for Agent RAG SystemsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding AnythingLLM reasoning → Multimodal reasoning +2
- In Good GRACEs: Principled Teacher Selection for Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Kosmos: An AI Scientist for Autonomous DiscoveryWorld models → World models for language agents
- MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- When One Modality Sabotages the Others: A Diagnostic Lens on Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- Diffusion Models are Robust PretrainersDiffusion models → Robustness, privacy and adversarial aspects
- PoCo: Agentic Proof-of-Concept Exploit Generation for Smart ContractsLLM agents and tool use → Agent threats, guardrails and governance
- When Visualizing is the First Step to Reasoning: MIRA, a Benchmark for Visual Chain-of-ThoughtLLM reasoning → Multimodal reasoning
- XR-1: Towards Versatile Vision-Language-Action Models via Learning Unified Vision-Motion RepresentationsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Controlling Performance and Budget of a Centralized Multi-agent LLM System with Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Using Span Queries to Optimize for Cache and Attention LocalityLLM reasoning → Test-time compute and efficient thinking +1
- Agentic World Modeling for 6G: Near-Real-Time Generative State-Space ReasoningWorld models → World models for language agents +2
- CostBench: Evaluating Multi-Turn Cost-Optimal Planning and Adaptation in Dynamic Environments for LLM Tool-Use AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- VidEmo: Affective-Tree Reasoning for Emotion-Centric Video Foundation ModelsLLM reasoning → Audio-language model reasoning
- Policy Gradient Methods for Information-Theoretic Opacity in Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
- Curriculum Design for Trajectory-Constrained Agent: Compressing Chain-of-Thought Tokens in LLMsLLM reasoning → Reasoning for agents, planning and code +1
- The Collaboration Gap: Exploration and Benchmarking of Open-World Agentic CooperationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Optimal Singular Damage: Efficient LLM Inference in Low Storage RegimesEfficient LLM inference and serving → Serving systems and request scheduling
- Apriel-H1: Towards Efficient Enterprise Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
- Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Natural-gas storage modelling by deep reinforcement learningDeep reinforcement learning methods → RL for energy, networks and operations
- DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoningLLM reasoning → Spatial and embodied reasoning
- The Realignment Problem: When Right becomes Wrong in LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- UniChange: Unifying Change Detection with Multimodal Large Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Adaptive GR(1) Specification Repair for Liveness-Preserving Shielding in Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- CGES: Confidence-Guided Early Stopping for Efficient and Accurate Self-ConsistencyLLM reasoning → Test-time compute and efficient thinking
- The ORCA Benchmark: Evaluating Real-World Calculation Accuracy in Large Language ModelsLLM reasoning → Mathematical reasoning
- TAUE: Training-free Noise Transplant and Cultivation Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Directional-Clamp PPODeep reinforcement learning methods → RL theory and sample complexity
- Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Agentic AI for Mobile Network RAN Management and OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data RegimesMultimodal LLMs / vision-language models → Medical vision-language models
- BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and MonitoringRetrieval-augmented generation → Medical and biomedical RAG
- Lost in Code Generation: Reimagining the Role of Software Models in AI-driven Software EngineeringLLM agents and tool use → Software engineering coding agents
- Modeling Hawkish-Dovish Latent Beliefs in Multi-Agent Debate-Based LLMs for Monetary Policy Decision ClassificationLLM agents and tool use → Financial trading and forecasting agents
- Extending RLVR to Open-Ended Tasks via Verifiable Multiple-Choice ReformulationLLM reasoning → Reinforcement learning for reasoning
- Improving DF-Conformer Using Hydra For High-Fidelity Generative Speech Enhancement on Discrete Codec TokenState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Merging Continual Pretraining Models for Domain-Specialized LLMs: A Case Study in FinanceLLM reasoning → Reasoning for agents, planning and code
- Improving Unlearning with Model Updates Probably Aligned with GradientsLLM safety and security → Machine unlearning
- From the Laboratory to Real-World Application: Evaluating Zero-Shot Scene Interpretation on Edge Devices for Mobile RoboticsLLM reasoning → Spatial and embodied reasoning
- ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Wasserstein Convergence of Critically Damped Langevin DiffusionsDiffusion models → Diffusion foundations and sampling
- ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart ComprehensionLLM reasoning → Multimodal reasoning +1
- IllumFlow: Illumination-Adaptive Low-Light Enhancement via Conditional Rectified Flow and Retinex DecompositionDiffusion models → Inverse problems and image restoration
- Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent FrameworkLLM agents and tool use → Software engineering coding agents
- AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language ModelsLLM safety and security → Jailbreaking
- LUMA-RAG: Lifelong Multimodal Agents with Provably Stable Streaming AlignmentRetrieval-augmented generation → Multimodal RAG +1
- The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal VideosMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- LaRe: Latent Refocusing for Multimodal ReasoningLLM reasoning → Multimodal reasoning
- ASTRA: An Automated Framework for Strategy Discovery, Retrieval, and Evolution for Jailbreaking LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- SWE-Sharp-Bench: A Reproducible Benchmark for C# Software Engineering TasksLLM agents and tool use → Software engineering coding agents
- LTD-Bench: Evaluating Large Language Models by Letting Them DrawLLM reasoning → Spatial and embodied reasoning
- RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across DomainsMixture-of-experts → Expert routing strategies
- The Sequential Edge: Inverse-Entropy Voting Beats Parallel Self-Consistency at Matched ComputeLLM reasoning → Test-time compute and efficient thinking
- Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to DeliberationLLM reasoning → Reasoning for agents, planning and code +1
- FP8-Flow-MoE: A Casting-Free FP8 Recipe without Double Quantization ErrorMixture-of-experts → Efficient MoE training and inference systems
- Reinforcement learning based data assimilation for unknown state modelDeep reinforcement learning methods → RL theory and sample complexity
- VFocus: Better Verilog Generation from Large Language Model via Focused ReasoningLLM reasoning → Reasoning for agents, planning and code
- SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL TuningLLM reasoning → Reinforcement learning for reasoning +1
- From Models to Operators: Rethinking Autoscaling Granularity for Large Generative ModelsLLM reasoning → Diffusion reasoning and test-time scaling
- When Modalities Conflict: How Unimodal Reasoning Uncertainty Governs Preference Dynamics in MLLMsLLM reasoning → Multimodal reasoning +1
- LACY: A Vision-Language Model-based Language-Action Cycle for Self-Improving Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept NetworkLLM agents and tool use → Web, search, and research agents
- Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without RetrainingMixture-of-experts → Expert routing strategies
- An Evaluation of Interleaved Instruction Tuning on Semantic Reasoning Performance in an Audio MLLMLLM reasoning → Audio-language model reasoning +1
- Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-LiveLLM agents and tool use → Software engineering coding agents +1
- Learning Interactive World Model for Object-Centric Reinforcement LearningWorld models → Latent predictive world models +1
- TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular DataLLM reasoning → Knowledge- and tool-augmented reasoning
- Optimizing Multi-Lane Intersection Performance in Mixed Autonomy EnvironmentsDeep reinforcement learning methods → RL for autonomous driving and traffic
- Adaptive Cooperative Transmission Design for Ultra-Reliable Low-Latency Communications via Deep Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Training Proactive and Personalized LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Open the Oyster: Empirical Evaluation and Improvement of Code Reasoning Confidence in LLMsLLM reasoning → Reasoning for agents, planning and code
- Personalized Decision Modeling: Utility Optimization or Textualized-Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- MM-UNet: Morph Mamba U-shaped Convolutional Networks for Retinal Vessel SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
All 332
- A Quantitative Comparison of Centralised and Distributed Reinforcement Learning-Based Control for Soft Robotic ArmsDeep reinforcement learning methods → Multi-agent reinforcement learning
- Pinpointing Trigger Moment for Grounded Video QA: Enhancing Spatio-temporal Grounding in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Text to Robotic Assembly of Multi Component Objects using 3D Generative AI and Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Cinder: A fast and fair matchmaking system
- A Recommendation System-Based Framework for Enhancing Human-Machine Collaboration in Industrial Timetabling Rescheduling: Application in Preventive Maintenance
- Leveraging Foundation Models for Calibration-Free c-VEP BCIs
- Reservoir Computing via Multi-Scale Random Fourier Features for Forecasting Fast-Slow Dynamical Systems
- GegenbauerNet: Finding the Optimal Compromise in the GNN Flexibility-Stability Trade-off
- DualLaguerreNet: A Decoupled Spectral Filter GNN and the Uncovering of the Flexibility-Stability Trade-off
- Lightweight Hopfield Neural Networks for Bioacoustic Detection and Call Monitoring of Captive Primates
- Beyond the GPU: The Strategic Role of FPGAs in the Next Wave of AI
- Physics-Informed Neural Network-based Reliability Analysis of Buried Pipelines
- Sequential Bayesian Evaluation of Large Language Model Behavior
- Test-Time Steering for Lossless Text Compression via Weighted Product of Experts
- From Euler to Today: Universal Mathematical Fallibility A Large-Scale Computational Analysis of Errors in ArXiv Papers
- DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping
- Elements of Active Continuous Learning and Uncertainty Self-Awareness: a Narrow Implementation for Face and Facial Expression Recognition
- Do Street View Imagery and Public Participation GIS align: Comparative Analysis of Urban Attractiveness
- Data-driven jet fuel demand forecasting: A case study of Copenhagen Airport
- Adaptive Sample-Level Framework Motivated by Distributionally Robust Optimization with Variance-Based Radius Assignment for Enhanced Neural Network Generalization Under Distribution Shift
- Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
- Efficient Online Continual Learning in Sensor-Based Human Activity Recognition
- FilletRec: A Lightweight Graph Neural Network with Intrinsic Features for Automated Fillet Recognition
- Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
- Prioritize Economy or Climate Action? Investigating ChatGPT Response Differences Based on Inferred Political Orientation
- POLIS-Bench: Towards Multi-Dimensional Evaluation of LLMs for Bilingual Policy Tasks in Governmental Scenarios
- Federated Learning with Gramian Angular Fields for Privacy-Preserving ECG Classification on Heterogeneous IoT Devices
- Applying Time Series Deep Learning Models to Forecast the Growth of Perennial Ryegrass in Ireland
- Online Learning to Rank under Corruption: A Robust Cascading Bandits Approach
- Epidemiology of Large Language Models: A Benchmark for Observational Distribution Knowledge
- Graph Homomorphism Distortion: A structural (pseudo)-metric for attributed graphs
- The Curved Spacetime of Transformer Architectures
- Reading Between the Lines: The One-Sided Conversation Problem
- From Propagation to Prediction: Point-level Uncertainty Evaluation of MLS Point Clouds under Limited Ground Truth
- Min-Max Optimization Is Strictly Easier Than Variational Inequalities
- Precise asymptotic analysis of Sobolev training for random feature models
- ROBoto2: An Interactive System and Dataset for LLM-assisted Clinical Trial Risk of Bias Assessment
- Unsupervised Evaluation of Multi-Turn Objective-Driven Interactions
- Data-Efficient Realized Volatility Forecasting with Vision Transformers
- Data-Efficient Adaptation and a Novel Evaluation Method for Aspect-based Sentiment Analysis
- Leveraging Discrete Function Decomposability for Scientific Design
- Adaptive-Sensorless Monitoring of Shipping Containers
- Exploratory Analysis of Cyberattack Patterns on E-Commerce Platforms Using Statistical Methods
- A Foundation Model for Brain MRI with Dynamic Modality Integration
- Heterogeneous Metamaterials Design via Multiscale Neural Implicit Representation
- Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
- Apples on the Table? Evaluating Text-Guided 3D Scene Synthesis via Fine-Grained Constraint Verification
- Unifying Information-Theoretic and Pair-Counting Clustering Similarity
- Comprehensive Assessment of LiDAR Evaluation Metrics: A Comparative Study Using Simulated and Real Data
- Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
- Systematizing LLM Persona Design: A Four-Quadrant Technical Taxonomy for AI Companion Applications
- Inference-Time Personalized Alignment with a Few User Preference Queries
- Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model
- Digital Twin-Driven Pavement Health Monitoring and Maintenance Optimization Using Graph Neural Networks
- EvtSlowTV -- A Large and Diverse Dataset for Event-Based Depth Estimation
- ProM3E: Probabilistic Masked MultiModal Embedding Model for Ecology
- Power Constrained Nonstationary Bandits with Habituation and Recovery Dynamics
- From Narrow to Wide: Autoencoding Transformers for Ultrasound Bandwidth Recovery
- Zero-shot data citation function classification using transformer-based large language models (LLMs)
- Generative Hints
- Domain-Adaptive Transformer for Data-Efficient Glioma Segmentation in Sub-Saharan MRI
- Cropland Mapping using Geospatial Embeddings
- Performance Evaluation of Bitstring Representations in a Linear Genetic Programming Framework
- A Criminology of Machines
- Optimizing the nnU-Net model for brain tumor (Glioma) segmentation Using a BraTS Sub-Saharan Africa (SSA) dataset
- NABench: Large-Scale Benchmarks of Nucleotide Foundation Models for Fitness Prediction
- Predicting Weekly Fishing Concentration Zones through Deep Learning Integration of Heterogeneous Environmental Spatial Datasets
- Test-time Adaptation of Tiny Recursive Models
- AgentSLA : Towards a Service Level Agreement for AI Agents
- NEF-NET+: Adapting Electrocardio panorama in the wild
- Stochastic Deep Graph Clustering for Practical Group Formation
- A Novel Reservoir Computing Framework for Chaotic Time Series Prediction Using Time Delay Embedding and Random Fourier Features
- Academics and Generative AI: Empirical and Epistemic Indicators of Policy-Practice Voids
- FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
- TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System
- GeoCrossBench: Cross-Band Generalization for Remote Sensing
- Densemarks: Learning Canonical Embeddings for Human Heads Images via Point Tracks
- PLUTO-4: Frontier Pathology Foundation Models
- Neurosymbolic Deep Learning Semantics
- Optimizing AI Agent Attacks With Synthetic Data
- Accelerated Frank-Wolfe Algorithms: Complementarity Conditions and Sparsity
- Orion-MSP: Multi-Scale Sparse Attention for Tabular In-Context Learning
- Oolong: Evaluating Long Context Reasoning and Aggregation Capabilities
- Assessing win strength in MLB win prediction models
- TabTune: A Unified Library for Inference and Fine-Tuning Tabular Foundation Models
- Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning
- Can LLMs subtract numbers?
- AI-Generated Image Detection: An Empirical Study and Future Research Directions
- Enhancing Federated Learning Privacy with QUBO
- Measuring AI Diffusion: A Population-Normalized Metric for Tracking Global AI Usage
- VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
- PercHead: Perceptual Head Model for Single-Image 3D Head Reconstruction & Editing
- Adam Reduces a Unique Form of Sharpness: Theoretical Insights Near the Minimizer Manifold
- Beyond Single Embeddings: Capturing Diverse Targets with Multi-Query Retrieval
- STAR-VAE: A Scalable Latent-Variable Transformer for Controllable Molecular Generation
- Dynamic Reflections: Probing Video Representations with Text Alignment
- VecComp: Vector Computing via MIMO Digital Over-the-Air Computation
- From Solo to Symphony: Orchestrating Multi-Agent Collaboration with Single-Agent Demos
- LLM-Supported Formal Knowledge Representation for Enhancing Control Engineering Content with an Interactive Semantic Layer
- ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models
- DANIEL: A Distributed and Scalable Approach for Global Representation Learning with EHR Applications
- AI Diffusion in Low Resource Language Countries
- Calibration improves detection of mislabeled examples
- Association-sensory spatiotemporal hierarchy and functional gradient-regularised recurrent neural network with implications for schizophrenia
- PETra: A Multilingual Corpus of Pragmatic Explicitation in Translation
- LLEXICORP: End-user Explainability of Convolutional Neural Networks
- Does Interpretability of Knowledge Tracing Models Support Teacher Decision Making?
- An unscented Kalman filter method for real time input-parameter-state estimation
- Optimizing Kernel Discrepancies via Subset Selection
- Modality-Transition Representation Learning for Visible-Infrared Person Re-Identification
- RL-Aided Cognitive ISAC: Robust Detection and Sensing-Communication Trade-offs
- Scalable Evaluation and Neural Models for Compositional Generalization
- In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
- A Byzantine-Robust Federated Learning with Nesterov Momentum
- Differentiable Hierarchical Visual Tokenization
- Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
- Robust Face Liveness Detection for Biometric Authentication using Single Image
- Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
- Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation
- Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
- Verifying LLM Inference to Detect Model Weight Exfiltration
- A Non-Adversarial Approach to Idempotent Generative Modelling
- Towards Migrating Neural Network Implementations
- A Multi-Agent Psychological Simulation System for Human Behavior Modeling
- Trustworthy Quantum Machine Learning: A Roadmap for Reliability, Robustness, and Security in the NISQ Era
- On The Dangers of Poisoned LLMs In Security Automation
- Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour
- A Large Language Model for Corporate Credit Scoring
- Zero-Shot Multi-Animal Tracking in the Wild
- The Analysis of Lexical Errors in Machine Translation from English into Romanian
- Redundancy Maximization as a Principle of Associative Memory Learning in Hopfield Networks
- Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback
- RIS-Assisted 3D Spherical Splatting for Object Composition Visualization using Detection Transformers
- Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization
- A Cognitive Process-Inspired Architecture for Subject-Agnostic Brain Visual Decoding
- Seeing Across Time and Views: Multi-Temporal Cross-View Learning for Robust Video Person Re-Identification
- The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic
- SigmaCollab: An Application-Driven Dataset for Physically Situated Collaboration
- Forecasting Future Anatomies: Longitudinal Brain Mri-to-Mri Prediction
- Unsupervised Learning for Industrial Defect Detection: A Case Study on Shearographic Data
- Smart-Hiring: An Explainable end-to-end Pipeline for CV Information Extraction and Job Matching
- Theoretical Guarantees for Causal Discovery on Large Random Graphs
- Knowledge Graph-enhanced Large Language Model for Incremental Game PlayTesting
- Rawlsian many-to-one matching with non-linear utility
- Causal Graph Neural Networks for Healthcare
- Many-vs-Many Missile Guidance via Virtual Targets
- An End-to-End Learning Approach for Solving Capacitated Location-Routing Problems
- LiteVoxel: Low-memory Intelligent Thresholding for Efficient Voxel Rasterization
- Keeping it Local, Tiny and Real: Automated Report Generation on Edge Computing Devices for Mechatronic-Based Cognitive Systems
- ESA: Energy-Based Shot Assembly Optimization for Automatic Video Editing
- Geometry as a Missing Axis of Representation Quality: The Variational Geometric Information Bottleneck under Data Scarcity
- DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
- Object-aware graph matching network for cross-domain remote sensing image localization
- Learning CNF formulas from uniform random solutions in the local lemma regime
- OLATverse: A Large-scale Real-world Object Dataset with Precise Lighting Control
- NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
- Wireless Video Semantic Communication with Decoupled Diffusion Multi-frame Compensation
- MVAFormer: RGB-based Multi-View Spatio-Temporal Action Recognition with Transformer
- HAGI++: Head-Assisted Gaze Imputation and Generation
- KAO: Kernel-Adaptive Optimization in Diffusion for Satellite Image
- SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
- Prompting for Policy: Forecasting Macroeconomic Scenarios with Synthetic LLM Personas
- Accounting for Underspecification in Statistical Claims of Model Superiority
- An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
- Efficient Solvers for SLOPE in R, Python, Julia, and C++
- A Kullback-Leibler divergence method for input-system-state identification
- CropCraft: A Procedural World Generator for Robotic Simulation of Agricultural Tasks
- A New Perspective on Precision and Recall for Generative Models
- Arithmetic Circuits and Neural Networks for Regular Matroids
- Purrturbed but Stable: Human-Cat Invariant Representations Across CNNs, ViTs and Self-Supervised ViTs
- Generalization in Representation Models via Random Matrix Theory: Application to Recurrent Networks
- MammoClean: Toward Reproducible and Bias-Aware AI in Mammography through Dataset Harmonization
- A Spatially Informed Gaussian Process UCB Method for Decentralized Coverage Control
- A Novel Grouping-Based Hybrid Color Correction Algorithm for Color Point Clouds
- Self-Supervised Moving Object Segmentation of Sparse and Noisy Radar Point Clouds
- Fuzzy Soft Set Theory based Expert System for the Risk Assessment in Breast Cancer Patients
- RxnCaption: Reformulating Reaction Diagram Parsing as Visual Prompt Guided Captioning
- H-Infinity Filter Enhanced CNN-LSTM for Arrhythmia Detection from Heart Sound Recordings
- AyurParam: A State-of-the-Art Bilingual Language Model for Ayurveda
- A new class of Markov random fields enabling lightweight sampling
- AI Credibility Signals Outrank Institutions and Engagement in Shaping News Perception on Social Media
- LiveSecBench: A Dynamic and Event-Driven Safety Benchmark for Chinese Language Model Applications
- Let Multimodal Embedders Learn When to Augment Query via Adaptive Query Augmentation
- Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
- Human-Machine Ritual: Synergic Performance through Real-Time Motion Recognition
- M3PD Dataset: Dual-view Photoplethysmography (PPG) Using Front-and-rear Cameras of Smartphones in Lab and Clinical Settings
- Reducing normalizing flow complexity for MCMC preconditioning
- Chronic Kidney Disease Prognosis Prediction Using Transformer
- Learning A Universal Crime Predictor with Knowledge-guided Hypernetworks
- GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection
- Biological Regulatory Network Inference through Circular Causal Structure Learning
- Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization
- Large-scale automatic carbon ion treatment planning for head and neck cancers via parallel multi-agent reinforcement learning
- A Stable Lasso
- Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning
- Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
- 3D Point Cloud Object Detection on Edge Devices for Split Computing
- From data to design: Random forest regression model for predicting mechanical properties of alloy steel
- Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions
- Are Euler angles a useful rotation parameterisation for pose estimation with Normalizing Flows?
- Gradient-Variation Online Adaptivity for Accelerated Optimization with H"older Smoothness
- Beyond Spectral Clustering: Probabilistic Cuts for Differentiable Graph Partitioning
- Medical Report Generation: A Hierarchical Task Structure-Based Cross-Modal Causal Intervention Framework
- LA-MARRVEL: A Knowledge-Grounded, Language-Aware LLM Framework for Clinically Robust Rare Disease Gene Prioritization
- Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
- Fast Approximation Algorithm for Non-Monotone DR-submodular Maximization under Size Constraint
- Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
- Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
- Neural network initialization with nonlinear characteristics and information on hierarchical features
- Structural Plasticity as Active Inference: A Biologically-Inspired Architecture for Homeostatic Control
- Collaborative Attention and Consistent-Guided Fusion of MRI and PET for Alzheimer's Disease Diagnosis
- Can Foundation Models Revolutionize Mobile AR Sparse Sensing?
- IG-Pruning: Input-Guided Block Pruning for Large Language Models
- High-Resolution Magnetic Particle Imaging System Matrix Recovery Using a Vision Transformer with Residual Feature Network
- Estimation of Segmental Longitudinal Strain in Transesophageal Echocardiography by Deep Learning
- Object-Centric 3D Gaussian Splatting for Strawberry Plant Reconstruction and Phenotyping
- Language-Enhanced Generative Modeling for Amyloid PET Synthesis from MRI and Blood Biomarkers
- OmniField: Conditioned Neural Fields for Robust Multimodal Spatiotemporal Learning
- BoolSkeleton: Boolean Network Skeletonization via Homogeneous Pattern Reduction
- PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
- Autobiasing Event Cameras for Flickering Mitigation
- Tackling Incomplete Data in Air Quality Prediction: A Bayesian Deep Learning Framework for Uncertainty Quantification
- Eliminating Multi-GPU Performance Taxes: A Systems Approach to Efficient Distributed LLMs
- ScenicProver: A Framework for Compositional Probabilistic Verification of Learning-Enabled Systems
- Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
- ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
- CFL: On the Use of Characteristic Function Loss for Domain Alignment in Machine Learning
- Disentangling Causal Substructures for Interpretable and Generalizable Drug Synergy Prediction
- Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis
- From Instance Segmentation to 3D Growth Trajectory Reconstruction in Planktonic Foraminifera
- QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
- DoFlow: Flow-based Generative Models for Interventional and Counterfactual Forecasting on Time Series