Papers
Fri 19 Dec 2025
335 papers
- Keyword search is all you need: Achieving RAG-Level Performance without vector databases using agentic tool useRetrieval-augmented generation → Agentic RAG, agents and memory +1
- WebAccessVL: Violation-Aware VLM for Web AccessibilityMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Consistency-Aware Editing for Entity-level Unlearning in Language ModelsLLM safety and security → Machine unlearning
- A Multi-Stage Workflow for the Review of Marketing Content with Reasoning Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Reinforcement Learning for Chain of Thought Compression with One-Domain-to-All GeneralizationLLM reasoning → Test-time compute and efficient thinking
- WRAVAL -- WRiting Assist eVALuationLLM reasoning → Reasoning benchmarks and evaluation
- q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion ModelsDiffusion models → Medical imaging and segmentation
- Unbiased Visual Reasoning with Controlled Visual InputsLLM reasoning → Multimodal reasoning +1
- Dominant vs. Dominated: Concept-Level Generative Collapse in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Eidoku: A Neuro-Symbolic Verification Gate for LLM Reasoning via Structural Constraint SatisfactionLLM reasoning → Reasoning benchmarks and evaluation
- Unifying Causal Reinforcement Learning: Survey, Taxonomy, Algorithms and ApplicationsDeep reinforcement learning methods → Deep RL algorithms and representations
- SAM Audio: Segment Anything in AudioDiffusion models → Audio, speech and music
- Rethinking Multi-Agent Intelligence Through the Lens of Small-World NetworksLLM reasoning → Reasoning for agents, planning and code +1
- Faithful and Stable Neuron Explanations for Trustworthy Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- From Prompt to Product: A Human-Centered Benchmark of Agentic App Generation SystemsLLM agents and tool use → Software engineering coding agents
- FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint AnalysisMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- SurgiPose: Estimating Surgical Tool Kinematics from Monocular Video for Surgical Robot LearningOffline RL and imitation learning from data → Safe offline RL
- Graph-based Nearest Neighbors with Dynamic Updates via Random WalksRetrieval-augmented generation → Vector search and ANN indexes
- Securing Agentic AI Systems -- A Multilayer Security FrameworkLLM agents and tool use → Agent threats, guardrails and governance
- Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language ModelsLLM safety and security → Machine unlearning
- ReGal: A First Look at PPO-based Legal AI for Judgment Prediction and Summarization in IndiaLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Robotic VLA Benefits from Joint Learning with Motion Image DiffusionVision-language-action models → Efficient VLA inference and adaptation
- Unifying Deep Predicate Invention with Pre-trained Foundation ModelsWorld models → Embodied and robot world models
- MoE-TransMov: A Transformer-based Model for Next POI Prediction in Familiar & Unfamiliar MovementsMixture-of-experts → MoE for time series and graphs
- Both Semantics and Reconstruction Matter: Making Representation Encoders Ready for Text-to-Image Generation and EditingDiffusion models → Diffusion foundations and sampling
- Dexterous World ModelsWorld models → Embodied and robot world models +1
- When Reasoning Meets Its LawsLLM reasoning → Test-time compute and efficient thinking
- Distributionally Robust Imitation Learning: Layered Control Architecture for Certifiable AutonomyOffline RL and imitation learning from data → Imitation learning methods
- RadarGen: Automotive Radar Point Cloud Generation from CamerasDiffusion models → 3D, point cloud and scene generation
- XAgen: An Explainability Tool for Identifying and Correcting Failures in Multi-Agent WorkflowsLLM agents and tool use → Software engineering coding agents
- Weighted Stochastic Differential Equation to Implement Wasserstein-Fisher-Rao Gradient FlowDiffusion models → Diffusion foundations and sampling
- Preserving Spectral Structure and Statistics in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- InfSplign: Inference-Time Spatial Alignment of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy LandscapesDeep reinforcement learning methods → Deep RL algorithms and representations
- NeuRehab: A Reinforcement Learning and Spiking Neural Network-Based Rehab Automation FrameworkDeep reinforcement learning methods → Spiking and neuromorphic RL
- ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging ChallengesLLM agents and tool use → Medical and scientific domain agents
- UrbanDIFF: A Denoising Diffusion Model for Spatial Gap Filling of Urban Land Surface Temperature Under Dense Cloud CoverDiffusion models → Inverse problems and image restoration
- DEER: A Benchmark for Evaluating Deep Research Agents on Expert Report GenerationLLM agents and tool use → Web, search, and research agents
- AdaptPrompt: Parameter-Efficient Adaptation of VLMs for Generalizable Deepfake DetectionDiffusion models → Image generation, text-to-image and editing
- An Empirical Study of Sampling Hyperparameters in Diffusion-Based Super-ResolutionDiffusion models → Inverse problems and image restoration
- Vidarc: Embodied Video Diffusion Model for Closed-loop ControlDiffusion models → Diffusion and flow policies for robotics
- Generative Human-Object Interaction Detection via Differentiable Cognitive Steering of Multi-modal LLMsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- About Time: Model-free Reinforcement Learning with Timed Reward MachinesDeep reinforcement learning methods → Interpretable and logic-guided RL
- Trust-Region Adaptive Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational PathologyMultimodal LLMs / vision-language models → Medical vision-language models
- Learning Safe Autonomous Driving Policies Using Predictive Safety RepresentationsEnd-to-end autonomous driving → Reinforcement learning for driving +1
- SkinGenBench: Generative Model and Preprocessing Effects for Synthetic Dermoscopic Augmentation in Melanoma DiagnosisDiffusion models → Medical imaging and segmentation
- Enabling Disaggregated Multi-Stage MLLM Inference via GPU-Internal Scheduling and Resource SharingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Kinematics-Aware Diffusion Policy with Consistent 3D Observation and Action Space for Whole-Arm Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
- The HydroGym Reinforcement Learning Platform for Fluid DynamicsDeep reinforcement learning methods → RL with diffusion and flow models
- Robust-R1: Degradation-Aware Reasoning for Robust Visual UnderstandingLLM reasoning → Multimodal reasoning +1
- InsertAnywhere: Geometrically Grounded and Optics-Aware Video Object InsertionDiffusion models → 3D, point cloud and scene generation
- UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow MatchingDiffusion models → Medical imaging and segmentation
- Xiaomi MiMo-VL-Miloco Technical ReportLLM reasoning → Spatial and embodied reasoning +1
- ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene ImaginationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?LLM reasoning → Reasoning benchmarks and evaluation +1
- AdvJudge-Zero: Binary Decision Flips in LLM-as-a-Judge via Adversarial Control TokensLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover DataEnd-to-end autonomous driving → Imitation-learning end-to-end planners +2
- Adversarially Robust Detection of Harmful Online Content: A Computational Design Science ApproachLLM safety and security → Safety alignment, refusal and guardrails
- Democratising Pathology Co-Pilots: An Open Pipeline and Dataset for Whole-Slide Vision-Language ModellingMultimodal LLMs / vision-language models → Medical vision-language models
- DESSERT: Diffusion-based Event-driven Single-frame Synthesis via Residual TrainingDiffusion models → Video generation
- A Benchmark for Ultra-High-Resolution Remote Sensing MLLMsLLM reasoning → Spatial and embodied reasoning +1
- Auxiliary Descriptive Knowledge for Few-Shot Adaptation of Vision-Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CodeDance: A Dynamic Tool-integrated MLLM for Executable Visual ReasoningLLM reasoning → Multimodal reasoning
- Cryptanalysis of LDPC-Based Pseudorandom Error-Correcting CodesLLM safety and security → Watermarking generated content and models
- Large Language Models as Pok'emon Battle Agents: Strategic Play and Content GenerationLLM agents and tool use → Reinforcement learning for LLM agents
- Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with ImagesLLM reasoning → Multimodal reasoning +1
- EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average GuidanceDiffusion models → Diffusion foundations and sampling
- ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer AccelerationDiffusion models → Diffusion foundations and sampling
- Robust TTS Training via Self-Purifying Flow Matching for the WildSpoof 2026 TTS TrackDiffusion models → Audio, speech and music
- Vision-Language Model Guided Image RestorationMultimodal LLMs / vision-language models → Image editing and quality assessment
- WDFFU-Mamba: A Wavelet-guided Dual-attention Feature Fusion Mamba for Breast Tumor Segmentation in Ultrasound ImagesState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Verifiability-First Agents: Provable Observability and Lightweight Audit Agents for Controlling Autonomous LLM SystemsLLM agents and tool use → Agent threats, guardrails and governance +1
- Mitty: Diffusion-based Human-to-Robot Video GenerationDiffusion models → Diffusion and flow policies for robotics
- Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Video Detective: Seek Critical Clues Recurrently to Answer Question from Long VideosMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Learning When to Look: A Disentangled Curriculum for Strategic Perception in Multimodal ReasoningLLM reasoning → Multimodal reasoning +1
- DAVE: A VLM Vision Encoder for Document Understanding and Web AgentsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Mindscape-Aware Retrieval Augmented Generation for Improved Long Context UnderstandingRetrieval-augmented generation → RAG pipeline design and evaluation
- CheXPO-v2: Preference Optimization for Chest X-ray VLMs with Knowledge Graph ConsistencyLLM reasoning → Clinical and biomedical applications +2
- Reasoning Palette: Modulating Reasoning via Latent Contextualization for Controllable Exploration for (V)LMsLLM reasoning → Test-time compute and efficient thinking
- MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory
- Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Conservative Bias in Multi-Teacher Learning: Why Agents Prefer Low-Reward AdvisorsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Can Synthetic Images Serve as Effective and Efficient Class Prototypes?Multimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- PhysFire-WM: A Physics-Informed World Model for Emulating Fire Spread DynamicsWorld models → Latent predictive world models
- Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant PredictorsLLM agents and tool use → Agent threats, guardrails and governance
- Perceptions of AI-CBT: Trust and Barriers in Chinese Postgrads
- Triples and Knowledge-Infused Embeddings for Clustering and Classification of Scientific Documents
- Hierarchical Sparse Plus Low Rank Compression of LLM
- Sports Business Administration and New Age Technology: Role of AI
- Advances and Challenges in Semantic Textual Similarity: A Comprehensive Survey
- The Instruction Gap: LLMs get lost in Following Instruction
- OpenAI GPT-5 System Card
- Spike-Timing-Dependent Plasticity for Bernoulli Message Passing
- AI-Enhanced Virtual Biopsies for Brain Tumor Diagnosis in Low Resource Settings
- Enhancing Medical Data Analysis through AI-Enhanced Locally Linear Embedding: Applications in Medical Point Location and Imagery
- Interpretable Link Prediction in AI-Driven Cancer Research: Uncovering Co-Authorship Patterns
- iOS as Acceleration
- Latent Sculpting for Zero-Shot Generalization: A Manifold Learning Approach to Out-of-Distribution Anomaly Detection
All 335
- Wireless Traffic Prediction with Large Language Model
- Real-Time American Sign Language Recognition Using 3D Convolutional Neural Networks and LSTM: Architecture, Training, and Deployment
- Fairness Is Not Just Ethical: Performance Trade-Off via Data Correlation Tuning to Mitigate Bias in ML Software
- Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
- Bridging the AI Trustworthiness Gap between Functions and Norms
- Disentangling Fact from Sentiment: A Dynamic Conflict-Consensus Framework for Multimodal Fake News Detection
- Improving Cardiac Risk Prediction Using Data Generation Techniques
- Forward Only Learning for Orthogonal Neural Networks of any Depth
- Quantifying Laziness, Decoding Suboptimality, and Context Degradation in Large Language Models
- Calibrating Transformer Attention via Task-Space Sensitivity Feedback
- Attention Distance: A Novel Metric for Directed Fuzzing with Large Language Models
- QMBench: A Research Level Benchmark for Quantum Materials Research
- Optimal Software Pipelining and Warp Specialization for Tensor Core GPUs
- Grad: Guided Relation Diffusion Generation for Graph Augmentation in Graph Fraud Detection
- Holistic Evaluation of State-of-the-Art LLMs for Code Generation
- TraCeR: Transformer-Based Competing Risk Analysis with Longitudinal Covariates
- SERA-H: Super-Resolution of Sentinel Time Series for Fine-Scale Canopy Height Mapping
- Efficient Mixture-of-Agents Serving via Tree-Structured Routing, Adaptive Pruning, and Dependency-Aware Prefill-Decode Overlap
- Exploring polymer classification with a hybrid single-photon quantum approach
- Learning Generalizable Neural Operators for Inverse Problems
- Distributed Asymmetric Allocation: A Topic Model for Large Imbalanced Corpora in Social Sciences
- Layout-Aware Text Editing for Efficient Transformation of Academic PDFs to Markdown
- Microstructure-based Variational Neural Networks for Robust Uncertainty Quantification in Materials Digital Twins
- From Coverage to Causes: Data-Centric Fuzzing for JavaScript Engines
- Causal Inference as Distribution Adaptation: Optimizing ATE Risk under Propensity Uncertainty
- Uncertainty-Gated Region-Level Retrieval for Robust Semantic Segmentation
- Characterising Behavioural Families and Dynamics of Promotional Twitter Bots via Sequence-Based Modelling
- Statistical laws and linguistics differ in naturalistic video and fictional conversations
- Approximation and learning with compositional tensor trains
- FOODER: Real-time Facial Authentication and Expression Recognition
- Probabilistic Digital Twins of Users: Latent Representation Learning with Statistically Validated Semantics
- YolovN-CBi: A Lightweight and Efficient Architecture for Real-Time Detection of Small UAVs
- Narrative Consolidation: Formulating a New Task for Unifying Multi-Perspective Accounts
- NodMAISI: Nodule-Oriented Medical AI for Synthetic Imaging
- Accelerating Discrete Facility Layout Optimization: A Hybrid CDCL and CP-SAT Architecture
- A Dataset and Benchmarks for Atrial Fibrillation Detection from Electrocardiograms of Intensive Care Unit Patients
- Long-range electrostatics for machine learning interatomic potentials is easier than we thought
- Embodied4C: Measuring What Matters for Embodied Vision-Language Navigation
- CoPE: A Small Language Model for Steerable and Scalable Content Labeling
- Shuttling Compiler for Trapped-Ion Quantum Computers Based on Fine-Tuned Large Language Models
- Specification and Detection of LLM Code Smells
- Seeing Justice Clearly: Handwritten Legal Document Translation with OCR and Vision-Language Models
- Name That Part: 3D Part Segmentation and Naming
- The Subject of Emergent Misalignment in Superintelligence: An Anthropological, Cognitive Neuropsychological, Machine-Learning, and Ontological Perspective
- Enhancing Tea Leaf Disease Recognition with Attention Mechanisms and Grad-CAM Visualization
- FedOAED: Federated On-Device Autoencoder Denoiser for Heterogeneous Data under Limited Client Availability
- A Hybrid Inductive-Transductive Network for Traffic Flow Imputation on Unsampled Locations
- Parameter-Efficient Fine-Tuning for HAR: Integrating LoRA and QLoRA into Transformer Models
- Adaptive Agents in Spatial Double-Auction Markets: Modeling the Emergence of Industrial Symbiosis
- MEGState: Phoneme Decoding from Magnetoencephalography Signals
- Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
- Re-assessing the evidence for mental rotation abilities in children using computational models
- CodeGEMM: A Codebook-Centric Approach to Efficient GEMM in Quantized LLMs
- Convolutional-neural-operator-based transfer learning for solving PDEs
- A Critical Review of Monte Carlo Algorithms Balancing Performance and Probabilistic Accuracy with AI Augmented Framework
- ReDepth Anything: Test-Time Depth Refinement via Self-Supervised Re-lighting
- Adversarial Robustness of Vision in Open Foundation Models
- Diffusion Forcing for Multi-Agent Interaction Sequence Modeling
- Humanlike AI Design Increases Anthropomorphism but Yields Divergent Outcomes on Engagement and Trust Globally
- Exploring the Effect of Basis Rotation on NQS Performance
- Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training
- Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
- Learning vertical coordinates via automatic differentiation of a dynamical core
- Visually Prompted Benchmarks Are Surprisingly Fragile
- Interpretable Plant Leaf Disease Detection Using Attention-Enhanced CNN
- AnyTask: an Automated Task and Data Generation Framework for Advancing Sim-to-Real Policy Learning
- Simulation-Driven Deep Learning Framework for Raman Spectral Denoising Under Fluorescence-Dominant Conditions
- Integrating Computational Methods and AI into Qualitative Studies of Aging and Later Life
- ShareChat: A Dataset of Chatbot Conversations in the Wild
- Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation
- Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding
- LLM-based Behaviour Driven Development for Hardware Design
- Towards Sharp Minimax Risk Bounds for Operator Learning
- Domain-Aware Quantum Circuit for QML
- Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation
- Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning
- Long-Range depth estimation using learning based Hybrid Distortion Model for CCTV cameras
- LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence
- MedNeXt-v2: Scaling 3D ConvNeXts for Large-Scale Supervised Representation Learning in Medical Image Segmentation
- Pix2NPHM: Learning to Regress NPHM Reconstructions From a Single Image
- Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
- Bangla MedER: Multi-BERT Ensemble Approach for the Recognition of Bangla Medical Entity
- Can You Hear Me Now? A Benchmark for Long-Range Graph Propagation
- Breast Cancer Neoadjuvant Chemotherapy Treatment Response Prediction Using Aligned Longitudinal MRI and Clinical Data
- AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora
- Affect, Body, Cognition, Demographics, and Emotion: The ABCDE of Text Features for Computational Affective Science
- When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content
- Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
- MambaMIL+: Modeling Long-Term Contextual Patterns for Gigapixel Whole Slide Image
- SAVeD: A First-Person Social Media Video Dataset for ADAS-equipped vehicle Near-Miss and Crash Event Analyses
- Digital and Web Forensics Model Cards, V1
- Mitigating Forgetting in Low Rank Adaptation
- FlexAvatar: Flexible Large Reconstruction Model for Animatable Gaussian Head Avatars with Detailed Deformation
- Revisiting the Broken Symmetry Phase of Solid Hydrogen: A Neural Network Variational Monte Carlo Study
- Spatially-informed transformers: Injecting geostatistical covariance biases into self-attention for spatio-temporal forecasting
- Imputation Uncertainty in Interpretable Machine Learning Methods
- Convergence Guarantees for Federated SARSA with Local Training and Heterogeneous Agents
- You Only Train Once: Differentiable Subset Selection for Omics Data
- Toward Ethical AI Through Bayesian Uncertainty in Neural Question Answering
- Learning Spatio-Temporal Feature Representations for Video-Based Gaze Estimation
- Polyharmonic Cascade
- STAR: Semantic-Traffic Alignment and Retrieval for Zero-Shot HTTPS Website Fingerprinting
- Fraud detection in credit card transactions using Quantum-Assisted Restricted Boltzmann Machines
- Generative Multi-Objective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design
- Peeking Into The Future For Contextual Biasing
- Bitbox: Behavioral Imaging Toolbox for Computational Analysis of Behavior from Videos
- Learning-Based Estimation of Spatially Resolved Scatter Radiation Fields in Interventional Radiology
- Region-Constraint In-Context Generation for Instructional Video Editing
- Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems
- Linear Personality Probing and Steering in LLMs: A Big Five Study
- Fast and Robust: Computationally Efficient Covariance Estimation for Sub-Weibull Vectors
- Confidence-Credibility Aware Weighted Ensembles of Small LLMs Outperform Large LLMs in Emotion Detection
- SCOPE: Sequential Causal Optimization of Process Interventions
- StereoMV2D: A Sparse Temporal Stereo-Enhanced Framework for Robust Multi-View 3D Object Detection
- Self-Supervised Weighted Image Guided Quantitative MRI Super-Resolution
- Semi-Supervised 3D Segmentation for Type-B Aortic Dissection with Slim UNETR
- More Consistent Accuracy PINN via Alternating Easy-Hard Training
- MGRegBench: A Novel Benchmark Dataset with Anatomical Landmarks for Mammography Image Registration
- HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection
- A Systems-Theoretic View on the Convergence of Algorithms under Disturbances
- MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
- A Unified Representation of Neural Networks Architectures
- Sharing Knowledge without Sharing Data: Stitches can improve ensembles of disjointly trained models
- Medical Imaging AI Competitions Lack Fairness
- 3One2: One-step Regression Plus One-step Diffusion for One-hot Modulation in Dual-path Video Snapshot Compressive Imaging
- Machine Learning for Static and Single-Event Dynamic Complex Network Analysis
- RoomEditor++: A Parameter-Sharing Diffusion Architecture for High-Fidelity Furniture Synthesis
- GreedySnake: Accelerating SSD-Offloaded LLM Training with Efficient Scheduling and Optimizer Step Overlapping
- Bayesian Optimisation: Which Constraints Matter?
- A unified FLAIR hyperintensity segmentation model for various CNS tumor types and acquisition time points
- When De-noising Hurts: A Systematic Study of Speech Enhancement Effects on Modern Medical ASR Systems
- Towards Explainable Conversational AI for Early Diagnosis with Large Language Models
- G3Splat: Geometrically Consistent Generalizable Gaussian Splatting
- ClothHMR: 3D Mesh Recovery of Humans in Diverse Clothing from Single Image
- FLEG: Feed-Forward Language Embedded Gaussian Splatting from Any Views via Compact Semantic Representation
- NetworkFF: Unified Layer Optimization in Forward-Only Neural Networks
- SafeBench-Seq: A Homology-Clustered, CPU-Only Baseline for Protein Hazard Screening with Physicochemical/Composition Features and Cluster-Aware Confidence Intervals
- Computational analysis reveals historical trajectory of East-Polynesian lunar calendars
- Key-Conditioned Orthonormal Transform Gating (K-OTG): Multi-Key Access Control with Hidden-State Scrambling for LoRA-Tuned Models
- PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology
- Resource-efficient medical image classification for edge devices
- Foundation Model Priors Enhance Object Focus in Feature Space for Source-Free Object Detection
- Adaptive Covariance and Quaternion-Focused Hybrid Error-State EKF/UKF for Visual-Inertial Odometry
- Validation of Diagnostic Artificial Intelligence Models for Prostate Pathology in a Middle Eastern Cohort
- GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
- MMLANDMARKS: a Cross-View Instance-Level Benchmark for Geo-Spatial Understanding
- LumiCtrl : Learning Illuminant Prompts for Lighting Control in Personalized Text-to-Image Models
- TwinSegNet: A Digital Twin-Enabled Federated Learning Framework for Brain Tumor Analysis
- Deep Learning-Based Surrogate Creep Modelling in Inconel 625: A High-Temperature Alloy Study
- Alternating Direction Method of Multipliers for Nonlinear Matrix Decompositions
- Translating the Rashomon Effect to Sequential Decision-Making Tasks
- Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
- Behavioural Effects of Agentic Messaging: A Case Study on a Financial Service Application
- Fair Voting Methods as a Catalyst for Democratic Resilience: A Trilogy on Legitimacy, Impact and AI Safeguarding
- When Data Quality Issues Collide: A Large-Scale Empirical Study of Co-Occurring Data Quality Issues in Software Defect Prediction
- 3D-RE-GEN: 3D Reconstruction of Indoor Scenes with a Generative Framework
- A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
- KV Admission: Learning What to Write for Efficient Long-Context LLM Inference
- MULTIAQUA: A multimodal maritime dataset and robust training strategies for multimodal semantic segmentation
- LangDriveCTRL: Natural Language Controllable Driving Scene Editing with Multi-modal Agents
- Assessing Long-Term Electricity Market Design for Ambitious Decarbonization Targets using Multi-Agent Reinforcement Learning
- A Systematic Reproducibility Study of BSARec for Sequential Recommendation
- AIFloodSense: A Global Aerial Imagery Dataset for Semantic Segmentation and Understanding of Flooded Environments
- Perfect reconstruction of sparse signals using nonconvexity control and one-step RSB message passing
- SWE-Bench++: A Framework for the Scalable Generation of Software Engineering Benchmarks from Open-Source Repositories
- Beyond Occlusion: In Search for Near Real-Time Explainability of CNN-Based Prostate Cancer Classification
- Optimisation of Aircraft Maintenance Schedules
- Detection and Analysis of Sensitive and Illegal Content on the Ethereum Blockchain Using Machine Learning Techniques
- meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis
- DeepShare: Sharing ReLU Across Channels and Layers for Efficient Private Inference
- RadImageNet-VQA: A Large-Scale CT and MRI Dataset for Radiologic Visual Question Answering
- CIFE: Code Instruction-Following Evaluation
- UCoder: Unsupervised Code Generation by Internal Probing of Large Language Models
- Timely Information Updating for Mobile Devices Without and With ML Advice
- Towards Deeper Emotional Reflection: Crafting Affective Image Filters with Generative Priors
- Generative modeling of conditional probability distributions on the level-sets of collective variables
- Dialectics for Artificial Intelligence
- Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs
- Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
- Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
- Stakeholder Suite: A Unified AI Framework for Mapping Actors, Topics and Arguments in Public Debates
- Governance-Aware Hybrid Fine-Tuning for Multilingual Large Language Models
- Multi-level distortion-aware deformable network for omnidirectional image super-resolution
- Sharp Structure-Agnostic Lower Bounds for General Linear Functional Estimation
- Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
- SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation
- Task Schema and Binding: A Double Dissociation Study of In-Context Learning
- Rotterdam artery-vein segmentation (RAV) dataset
- EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories
- Explanation Beyond Intuition: A Testable Criterion for Inherent Explainability
- MatLat: Material Latent Space for PBR Texture Generation
- M2RU: Memristive Minion Recurrent Unit for On-Chip Continual Learning at the Edge
- Towards Pixel-Wise Anomaly Location for High-Resolution PCBA via Self-Supervised Image Reconstruction
- Subjective Question Generation and Answer Evaluation using NLP
- LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection
- Diagnostic Performance of Universal-Learning Ultrasound AI Across Multiple Organs and Tasks: the UUSIC25 Challenge
- Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
- Alzheimer's Disease Brain Network Mining
- MINPO: Memory-Informed Neural Pseudo-Operator to Resolve Nonlocal Spatiotemporal Dynamics
- Understanding Generalization in Role-Playing Models via Information Theory
- AutoMetrics: Approximate Human Judgements with Automatically Generated Evaluators
- EventGPT: Capturing Player Impact from Team Action Sequences Using GPT-Based Framework
- A Theoretical Analysis of State Similarity Between Markov Decision Processes
- AnyCXR: Human Anatomy Segmentation of Chest X-ray at Any Acquisition Position using Multi-stage Domain Randomized Synthetic Data with Imperfect Annotations and Conditional Joint Annotation Regularization Learning
- SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS
- Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience
- Electric Vehicle Charging Load Forecasting: An Experimental Comparison of Machine Learning Methods
- From Priors to Predictions: Explaining and Visualizing Human Reasoning in a Graph Neural Network Framework
- Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
- AlignDP: Hybrid Differential Privacy with Rarity-Aware Protection for LLMs
- Accelerating Multi-modal LLM Gaming Performance via Input Prediction and Mishit Correction
- Incorporating Error Level Noise Embedding for Improving LLM-Assisted Robustness in Persian Speech Recognition
- Enhancing Reconstruction Capability of Wavelet Transform Amorphous Radial Distribution Function via Machine Learning Assisted Parameter Tuning
- Privacy-Preserving Synthetic Dataset of Individual Daily Trajectories for City-Scale Mobility Analytics
- Robust Scene Coordinate Regression via Geometrically-Consistent Global Descriptors
- Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing
- Preventing AI Deepfake Abuse: An Islamic Ethics Framework
- Research on Dead Reckoning Algorithm for Self-Propelled Pipeline Robots in Three-Dimensional Complex Pipelines
- Do Foundational Audio Encoders Understand Music Structure?
- Learning solution operator of dynamical systems with diffusion maps kernel ridge regression
- Fose: Fusion of One-Step Diffusion and End-to-End Network for Pansharpening
- BumpNet: A Sparse MLP Framework for Learning PDE Solutions
- UmniBench: Unified Understand and Generation Model Oriented Omni-dimensional Benchmark
- Globally Optimal Solution to the Generalized Relative Pose Estimation Problem using Affine Correspondences
- It is not always greener on the other side: Greenery perception across demographics and personalities in multiple cities
- Systemic Risk Radar: A Multi-Layer Graph Framework for Early Market Crash Warning
- Enhancing Long Document Long Form Summarisation with Self-Planning
- ABE-CLIP: Training-Free Attribute Binding Enhancement for Compositional Image-Text Matching
- PILAR: Personalizing Augmented Reality Interactions with LLM-based Human-Centric and Trustworthy Explanations for Daily Use Cases
- Application of machine learning to predict food processing level using Open Food Facts
- Distributed Learning in Markovian Restless Bandits over Interference Graphs for Stable Spectrum Sharing
- Text-Conditioned Background Generation for Editable Multi-Layer Documents
- Solomonoff-Inspired Hypothesis Ranking with LLMs for Prediction Under Uncertainty
- Pro-Pose: Unpaired Full-Body Portrait Synthesis via Canonical UV Maps
- SDUM: A Scalable Deep Unrolled Model for Universal MRI Reconstruction