Papers
Wed 10 Dec 2025
323 papers
- PerCache: Predictive Hierarchical Cache for RAG Applications on Mobile DevicesRetrieval-augmented generation → Generation and context integration +1
- Complexity Agnostic Recursive Decomposition of ThoughtsLLM reasoning → Test-time compute and efficient thinking
- Visual Species Recognition with Large Multimodal Models as Post-Hoc CorrectorsMultimodal LLMs / vision-language models → Agricultural vision-language models
- LLaDA2.0: Scaling Up Diffusion Language Models to 100BDiffusion models → Discrete and text diffusion +1
- Causal Strengths and Leaky Beliefs: Interpreting LLM Reasoning via Noisy-OR Causal Bayes NetsLLM reasoning → Reasoning benchmarks and evaluation
- Structured Personalization: Modeling Constraints as Matroids for Data-Minimal LLM AgentsLLM agents and tool use → Agent memory systems
- Mirror Mode in Fire Emblem: Beating Players at their own Game with Imitation and Reinforcement LearningOffline RL and imitation learning from data → Imitation learning methods
- Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Rethinking Query Optimization for Multi-Agent Systems [Vision]LLM reasoning → Reasoning for agents, planning and code +1
- SCOUT: A Defense Against Data Poisoning Attacks in Fine-Tuned Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- MedBioRAG: Semantic Search and Retrieval-Augmented Generation with Large Language Models for Medical and Biological QARetrieval-augmented generation → Medical and biomedical RAG
- Unforgotten Safety: Preserving Safety Alignment of Large Language Models with Continual LearningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- AgriRegion: Region-Aware Retrieval for High-Fidelity Agricultural AdviceRetrieval-augmented generation → Time series and agricultural RAG
- Phishing Email Detection Using Large Language ModelsLLM safety and security → Prompt injection and agent security
- Push Smarter, Not Harder: Hierarchical RL-Diffusion Policy for Efficient Nonprehensile ManipulationDiffusion models → Diffusion and flow policies for robotics +1
- Interpretable Embeddings with Sparse Autoencoders: A Data Analysis ToolkitMechanistic interpretability → SAE features and their applications
- What Kind of Reasoning (if any) is an LLM actually doing? On the Stochastic Nature and Abductive Appearance of Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Independent Density EstimationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Detailed balance in large language model-driven agentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction EstimationDeep reinforcement learning methods → RL theory and sample complexity
- MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical MetadataDiffusion models → Medical imaging and segmentation
- Intelligently Weighting Multiple Reference Models for Direct Preference Optimization of LLMsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Diffusion Is Your Friend in Show, Suggest and TellDiffusion models → Image generation, text-to-image and editing
- Latent Action World Models for Control with Unlabeled TrajectoriesWorld models → Embodied and robot world models +1
- GoodSpeed: Optimizing Fair Goodput with Adaptive Speculative Decoding in Distributed Edge InferenceEfficient LLM inference and serving → Speculative decoding
- Closing the Train-Test Gap in World Models for Gradient-Based PlanningWorld models → Latent predictive world models
- HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action ModelsVision-language-action models → World model-based VLA
- Token Expand-Merge: Training-Free Token Compression for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- GAINS: Gaussian-based Inverse Rendering from Sparse Multi-View CapturesDiffusion models → 3D, point cloud and scene generation
- Towards Reason-Informed Video Editing in Unified Models with Self-Reflective LearningLLM reasoning → Multimodal reasoning +1
- Splatent: Splatting Diffusion Latents for Novel View SynthesisDiffusion models → 3D, point cloud and scene generation
- STACHE: Local Black-Box Explanations for Reinforcement Learning PoliciesDeep reinforcement learning methods → Interpretable and logic-guided RL
- VisualActBench: Can VLMs See and Act like a Human?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model CompressionKnowledge distillation → General knowledge distillation methods
- FlipLLM: Efficient Bit-Flip Attacks on Multimodal LLMs using Reinforcement LearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Diffusion Posterior Sampler for Hyperspectral Unmixing with Spectral Variability ModelingDiffusion models → Inverse problems and image restoration
- Hierarchy-Aware Multimodal Unlearning for Medical AIMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural NetworksMixture-of-experts → MoE for time series and graphs
- DeepSeek's WEIRD Behavior: The cultural alignment of Large Language Models and the effects of prompt language and cultural promptingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Circuits, Features, and Heuristics in Molecular TransformersMechanistic interpretability → Interpreting biomedical and science models
- Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMsLLM safety and security → Backdoor and data poisoning attacks
- Training One Model to Master Cross-Level Agentic Actions via Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Exqutor: Extended Query Optimizer for Vector-augmented Analytical QueriesRetrieval-augmented generation → RAG pipeline design and evaluation
- Unconsciously Forget: Mitigating Memorization; Without Knowing What is being MemorizedLLM safety and security → Vision-language and text-to-image safety
- Understanding Chain-of-Thought Effectiveness in Code Generation: An Empirical and Information-Theoretic AnalysisLLM reasoning → Reasoning for agents, planning and code
- d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- Neurosymbolic Information Extraction from Transactional DocumentsKnowledge distillation → Knowledge distillation for LLMs
- IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual PromptingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Membership and Dataset Inference Attacks on Large Audio Generative ModelsLLM safety and security → Membership inference attacks
- MiraMind: Benchmarking Reliable Mental Health Reasoning beyond Answer AccuracyLLM reasoning → Clinical and biomedical applications
- End-to-end PDDL Planning with Hardcoded and Dynamic AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GLaD: Geometric Latent Distillation for Vision-Language-Action ModelsLLM reasoning → Spatial and embodied reasoning +1
- FROMAT: Multiview Material Appearance Transfer via Few-Shot Self-Attention AdaptationDiffusion models → 3D, point cloud and scene generation
- Rethinking Chain-of-Thought Reasoning for VideosLLM reasoning → Multimodal reasoning +1
- Investigate the Low-level Visual Perception in Vision-Language based Image Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
- Lazy Diffusion: Mitigating spectral collapse in generative diffusion-based stable autoregressive emulation of turbulent flowsDiffusion models → Flow matching, time series and science
- Mastering Diverse, Unknown, and Cluttered Tracks for Robust Vision-Based Drone RacingDeep reinforcement learning methods → RL for robot navigation and UAV control
- Building Reasonable Inference for Vision-Language Models in Blind Image Quality AssessmentLLM reasoning → Multimodal reasoning +1
- Supporting Dynamic Agentic Workloads: How Data and Agents InteractLLM reasoning → Reasoning for agents, planning and code +1
- SWEnergy: An Empirical Study on Energy Efficiency in Agentic Issue Resolution Frameworks with SLMsLLM agents and tool use → Software engineering coding agents
- RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement LearningRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG +1
- Color encoding in Latent Space of Stable Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Architectures for Building Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Defect-aware Hybrid Prompt Optimization via Progressive Tuning for Zero-Shot Multi-type Anomaly Detection and SegmentationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language ModelMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Knowledge-Augmented Large Language Model Agents for Explainable Financial Decision-MakingLLM agents and tool use → Financial trading and forecasting agents
- ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class AcceleratorsEfficient LLM inference and serving → Serving systems and request scheduling
- Label-free Motion-Conditioned Diffusion Model for Cardiac Ultrasound SynthesisDiffusion models → Medical imaging and segmentation
- Black-Box Behavioral Distillation Breaks Safety Alignment in Medical LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- GAIR: GUI Automation via Information-Joint Reasoning and Group ReflectionLLM reasoning → Multimodal reasoning
- Encoder-Free Knowledge-Graph Reasoning with LLMs via Hyperdimensional Path RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
- CFLight: Enhancing Safety with Traffic Signal Control through Counterfactual LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video UnderstandingLLM reasoning → Multimodal reasoning
- TextGuider: Training-Free Guidance for Text Rendering via Attention AlignmentDiffusion models → Image generation, text-to-image and editing
- COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement LearningLLM reasoning → Chain-of-thought reasoning for driving +1
- Passing the Baton: High Throughput Distributed Disk-Based Vector Search with BatANNRetrieval-augmented generation → Vector search and ANN indexes
- Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein DesignKnowledge distillation → Knowledge distillation for LLMs
- ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source DataLLM agents and tool use → Agent threats, guardrails and governance +1
- Electric Arc Furnaces Scheduling under Electricity Price Volatility with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation ModelDiffusion models → Inverse problems and image restoration +1
- Efficient MoE Serving in the Memory-Bound Regime: Balance Activated Experts, Not TokensMixture-of-experts → Efficient MoE training and inference systems
- Goal inference with Rao-Blackwellized Particle FiltersLLM agents and tool use → General LLM agent frameworks and benchmarks
- GLACIA: Instance-Aware Positional Reasoning for Glacial Lake Segmentation via Multimodal Large Language ModelLLM reasoning → Spatial and embodied reasoning +1
- OmniPSD: Layered PSD Generation with Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- Training-free Context-adaptive Attention for Efficient Long Context ModelingEfficient LLM inference and serving → KV cache optimization
- Exploratory Mean-Variance with Jumps: An Equilibrium ApproachDeep reinforcement learning methods → Adversarial robustness and RL in finance
- CORE: A Conceptual Reasoning Layer for Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- View-on-Graph: Zero-shot 3D Visual Grounding via Vision-Language Reasoning on Scene GraphsLLM reasoning → Spatial and embodied reasoning
- Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- One Size Fits None: Modeling NYC Taxi Trips
- Qwerty AI: Explainable Automated Age Rating and Content Safety Assessment for Russian-Language Screenplays
- Leveraging Language Models and RAG for Efficient Knowledge Discovery in Clinical Environments
- LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach
- Network Traffic Analysis with Process Mining: The UPSIDE Case Study
- Comparative Evaluation of Explainable Machine Learning Versus Linear Regression for Predicting County-Level Lung Cancer Mortality Rate in the United States
- D3G: Diverse Demographic Data Generation Increases Zero-Shot Image Classification Accuracy within Multimodal Models
- A Unified Generative-Predictive Framework for Deterministic Inverse Design
- How Do Graph Signals Affect Recommendation: Unveiling the Mystery of Low and High-Frequency Graph Signals
All 323
- Prompt-to-Parts: Generative AI for Physical Assembly and Scalable Instructions
- SHARe-KAN: Post-Training Vector Quantization for Cache-Resident KAN Inference
- INFORM-CT: INtegrating LLMs and VLMs FOR Incidental Findings Management in Abdominal CT
- Semantic Geometry for policy-constrained interpretation
- A data-driven approach to inferring travel trajectory during peak hours in urban rail transit systems
- MPath: Multimodal Pathology Report Generation from Whole Slide Images
- Smartphone monitoring of smiling as a behavioral proxy of well-being in everyday life
- Aion: Towards Hierarchical 4D Scene Graphs with Temporal Flow Dynamics
- CLARGA: Multimodal Graph Representation Learning over Arbitrary Sets of Modalities
- Microscopic Vehicle Trajectory Datasets from UAV-collected Video for Heterogeneous, Area-Based Urban Traffic
- Hot H'em: S`ai G`on Gi~ua C'ai N'ong Hong C`ong B`ang -- Saigon in Unequal Heat
- mmWEAVER: Environment-Specific mmWave Signal Synthesis from a Photo and Activity Description
- Beyond Memristor: Neuromorphic Computing Using Meminductor
- Unambiguous Representations in Neural Networks: An Information-Theoretic Approach to Intentionality
- KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
- Boosted Random Forests for Predicting Treatment Failure of Chemotherapy Regimens
- STARK denoises spatial transcriptomics images via adaptive regularization
- Enhancing Large Language Model-Based Systems for End-to-End Circuit Analysis Problem Solving
- Inference for Batched Adaptive Experiments
- Rethinking Bivariate Causal Discovery Through the Lens of Exchangeability
- Topological Conditioning for Mammography Models via a Stable Wavelet-Persistence Vectorization
- STARS: Semantic Tokens with Augmented Representations for Recommendation at Scale
- PARAN: Persona-Augmented Review ANswering system on Food Delivery Review Dataset
- When do cheap embeddings beat protein language models? A theoretically-grounded hashing sketch for biological sequence classification
- Sequence-to-Image Transformation for Sequence Classification Using Rips Complex Construction and Chaos Game Representation
- Partitioning the Sample Space for a More Precise Shannon Entropy Estimation
- Universal Hirschberg for Width Bounded Dynamic Programs
- A Model-Guided Neural Network Method for the Inverse Scattering Problem
- Workflow is All You Need: Escaping the "Statistical Smoothing Trap" via High-Entropy Information Foraging and Adversarial Pacing
- VocSim: A Training-free Benchmark for Zero-shot Content Identity in Single-source Audio
- CHyLL: Learning Continuous Neural Representations of Hybrid Systems
- Generate-Then-Validate: A Novel Question Generation Approach Using Small Language Models
- Belief Is All You Need: Modeling Narrative Archetypes in Conspiratorial Discourse
- Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information
- Robust AI Security and Alignment: A Sisyphean Endeavor?
- MedXAI: A Retrieval-Augmented and Self-Verifying Framework for Knowledge-Guided Medical Image Analysis
- TraceFlow: Dynamic 3D Reconstruction of Specular Scenes Driven by Ray Tracing
- Defining the Scope of Learning Analytics: An Axiomatic Approach for Analytic Practice and Measurable Learning Phenomena
- Classifying Metamorphic versus Single-Fold Proteins with Statistical Learning and AlphaFold2
- Linear socio-demographic representations emerge in Large Language Models from indirect cues
- Text2Graph: Combining Lightweight LLMs and GNNs for Efficient Text Classification in Label-Scarce Scenarios
- Mind the Gap! Pathways Towards Unifying AI Safety and Ethics Research
- Mitigating Exposure Bias in Risk-Aware Time Series Forecasting with Soft Tokens
- Parallel Decoder Transformer: Planner-Conditioned Latent Coordination for Model-Intrinsic Parallel Generation
- LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes
- DB2-TransF: All You Need Is Learnable Daubechies Wavelets for Time Series Forecasting
- SimWorld-Robotics: Synthesizing Photorealistic and Dynamic Urban Environments for Multimodal Robot Navigation and Collaboration
- Local LLM Ensembles for Zero-shot Portuguese Named Entity Recognition
- DynaMate: An Autonomous Agent for Protein-Ligand Molecular Dynamics Simulations
- Robust Gradient Descent via Heavy-Ball Momentum with Predictive Extrapolation
- Cluster-Dags as Powerful Background Knowledge For Causal Discovery
- ABBSPO: Adaptive Bounding Box Scaling and Symmetric Prior based Orientation Prediction for Detecting Aerial Image Objects
- Exploring LLMs for Scientific Information Extraction Using The SciEx Framework
- Fuzzy Hierarchical Multiplex
- Enhancing Fake-News Detection with Node-Level Topological Features
- AP-BMM: Approximating Capability-Cost Pareto Sets of LLMs via Asynchronous Prior-Guided Bayesian Model Merging
- Neuromorphic Eye Tracking for Low-Latency Pupil Detection
- TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web3.0
- LISN: Language-Instructed Social Navigation with VLM-based Controller Modulating
- FALCON: Few-step Accurate Likelihoods for Continuous Flows
- NordFKB: a fine-grained benchmark dataset for geospatial AI in Norway
- Supervised learning pays attention
- Efficient Continual Learning in Neural Machine Translation: A Low-Rank Adaptation Approach
- Bayesian Networks, Markov Networks, Moralisation, Triangulation: a Categorical Perspective
- YOPO-Nav: Visual Navigation using 3DGS Graphs from One-Pass Videos
- Visual Heading Prediction for Autonomous Aerial Vehicles
- SCOPE: Language Models as One-Time Teacher for Hierarchical Planning in Text Environments
- Human-in-the-Loop and AI: Crowdsourcing Metadata Vocabulary for Materials Science
- Exploring Protein Language Model Architecture-Induced Biases for Antibody Comprehension
- Provably Learning from Modern Language Models via Low Logit Rank
- Analysis of Dirichlet Energies as Over-smoothing Measures
- Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
- Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs
- Mitigating Social Bias in English and Urdu Language Models Using PRM-Guided Candidate Selection and Sequential Refinement
- New Approximation Results and Optimal Estimation for Fully Connected Deep Neural Networks
- Simultaneous Tactile-Visual Perception for Learning Multimodal Robot Manipulation
- Conformal bandits: bringing statistical validity and reward efficiency under weak arm separability
- From Detection to Anticipation: Online Understanding of Struggles across Various Tasks and Activities
- ChronusOmni: Improving Time Awareness of Omni Large Language Models
- Fast Factorized Learning: Powered by In-Memory Database Systems
- Predicting the Containment Time of California Wildfires Using Machine Learning
- Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning
- LLMs in Interpreting Legal Documents
- RIFT: A Scalable Methodology for LLM Accelerator Fault Assessment using Reinforcement Learning
- Composing Concepts from Images and Videos via Concept-prompt Binding
- Geospatial Soil Quality Analysis: A Roadmap for Integrated Systems
- Dynamic Image Prompt Adapter for Scalable Zero-shot Personalized Text-to-Image Generation
- Incorporating Fairness in Neighborhood Graphs for Fair Spectral Clustering
- CHEM: Estimating and Understanding Hallucinations in Deep Learning for Image Processing
- OnCoCo 1.0: A Public Dataset for Fine-Grained Message Classification in Online Counseling Conversations
- Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation
- Ariel-ML: Computing Parallelization with Embedded Rust for Neural Networks on Heterogeneous Multi-core Microcontrollers
- Knowledge Diversion for Efficient Morphology Control and Policy Transfer
- FastPose-ViT: A Vision Transformer for Real-Time Spacecraft Pose Estimation
- TinyD'ej`aVu: Smaller RAM and Faster Inference with Neural Networks on MCUs for Sensor Data Streams
- Predicting Polymer Solubility in Solvents Using SMILES Strings
- Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems
- PathCo-LatticE: Pathology-Constrained Lattice-Of Experts Framework for Fully-supervised Few-Shot Cardiac MRI Segmentation
- Optimal certification of constant-local Hamiltonians
- Quantifying Uncertainty in Machine Learning-Based Pervasive Systems: Application to Human Activity Recognition
- Stylized Meta-Album: Group-bias injection with style transfer to study robustness against distribution shifts
- MOA: Multi-Objective Alignment for Role-Playing Agents
- Analyzing Planner Design Trade-offs for MAPF under ADG-based Realistic Execution
- Interpreto: An Explainability Library for Transformers
- Ethics Readiness of Artificial Intelligence: A Practical Evaluation Method
- Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions
- Mixture of Lookup Key-Value Experts
- FineFreq: A Multilingual Character Frequency Dataset from Web-Scale Text
- LiM-YOLO: Less is More with Pyramid Level Shift for Ship Detection in Optical Remote Sensing
- A data-driven approach to linking design features with manufacturing process data for sustainable product development
- Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies
- Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization
- Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power
- An Automated Tip-and-Cue Framework for Optimized Satellite Tasking and Visual Intelligence
- OxEnsemble: Fair Ensembles for Low-Data Classification
- SynthPix: A lightspeed PIV image generator
- Can LLMs Evaluate What They Cannot Annotate? Revisiting LLM Reliability in Hate Speech Detection
- VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification
- Kaapana: A Comprehensive Open-Source Platform for Integrating AI in Medical Imaging Research Environments
- Creation of the Estonian Subjectivity Dataset: Assessing the Degree of Subjectivity on a Scale
- Benchmarking SAM2-based Trackers on FMOX
- Beyond Sequences: A Benchmark for Atomic Hand-Object Interaction Using a Static RNN Encoder
- Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks
- ImageTalk: Designing a Multimodal AAC Text Generation System Driven by Image Recognition and Natural Language Generation
- UrbanNav: Learning Language-Guided Urban Navigation from Web-Scale Human Trajectories
- CS3D: An Efficient Facial Expression Recognition via Event Vision
- Stanford Sleep Bench: Evaluating Polysomnography Pre-training Methods for Sleep Foundation Models
- Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates
- UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision
- Content-Adaptive Image Retouching Guided by Attribute-Based Text Representation
- Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
- Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation
- Seeing Soil from Space: Towards Robust and Scalable Remote Soil Nutrient Analysis
- The Gender Code: Gendering the Global Governance of Artificial Intelligence
- Toward Closed-loop Molecular Discovery via Language Model, Property Alignment and Strategic Search
- From Graphs to Gates: DNS-HyXNet, A Lightweight and Deployable Sequential Model for Real-Time DNS Tunnel Detection
- System Report for CCL25-Eval Task 10: Prompt-Driven Large Language Model Merge for Fine-Grained Chinese Hate Speech Detection
- Systematic Framework of Application Methods for Large Language Models in Language Sciences
- A Dual-Domain Convolutional Network for Hyperspectral Single-Image Super-Resolution
- Comparative Analysis of Hash-based Malware Clustering via K-Means
- Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search
- Latent-Autoregressive GP-VAE Language Model
- Transformers for Tabular Data: A Training Perspective of Self-Attention via Optimal Transport
- Masked Registration and Autoencoding of CT Images for Predictive Tibia Reconstruction
- NeuroSketch: A Practical Design Recipe for Neural Decoding
- QuanvNeXt: An end-to-end quanvolutional neural network for EEG-based detection of major depressive disorder
- Transport Novelty Distance: A Distributional Metric for Evaluating Material Generative Models
- Contextual Dynamic Pricing with Heterogeneous Buyers
- ViTA-Seg: Vision Transformer for Amodal Segmentation in Robotics
- Estimation of Stochastic Optimal Transport Maps
- Gradient-Guided Learning Network for Infrared Small Target Detection
- Representation Invariance and Allocation: When Subgroup Balance Matters
- StateSpace-SSL: Linear-Time Self-supervised Learning for Plant Disease Detection
- MODA: The First Challenging Benchmark for Multispectral Object Detection in Aerial Images
- Advancing LLM-Based Security Automation with Customized Group Relative Policy Optimization for Zero-Touch Networks
- Source Coverage and Citation Bias in LLM-based vs. Traditional Search Engines
- Temporal-Spatial Tubelet Embedding for Cloud-Robust MSI Reconstruction using MSI-SAR Fusion: A Multi-Head Self-Attention Video Vision Transformer Approach
- LiePrune: Lie Group and Quantum Geometric Dual Representation for One-Shot Structured Pruning of Quantum Neural Networks
- Cauchy-Schwarz Fairness Regularizer
- Privacy-Preserving Computer Vision for Industry: Three Case Studies in Human-Centric Manufacturing
- Cytoplasmic Strings Analysis in Human Embryo Time-Lapse Videos using Deep Learning Framework
- Calibrated Keyframe-Segment Selection for Descriptor-Agnostic LiDAR Loop Closure in Repetitive Environments
- Advancing Text Classification with Large Language Models and Neural Attention Mechanisms
- A Human-AI Collaborative Workflow for Mathematical Discovery: A Case Study in Grover-Compatible Riemannian Optimization
- UniPart: Part-Level 3D Generation with Unified 3D Geom-Seg Latents
- CourtPressGER: A German Court Decision to Press Release Summarization Dataset
- FunPhase: A Periodic Functional Autoencoder for Motion Generation via Phase Manifolds
- InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
- DirectSwap: Paired, Mask-Free Video Head Swapping with Full-Reference Evaluation
- Generalizable Collaborative Search-and-Capture in Cluttered Environments via Path-Guided MAPPO and Directional Frontier Allocation
- Geometry-to-Image Synthesis-Driven Generative Point Cloud Registration
- H2R-Grounder: A Paired-Data-Free Paradigm for Translating Human Interaction Videos into Physically Grounded Robot Videos
- Wasserstein-Aligned Hyperbolic Multi-View Clustering
- Towards Resilient Transportation: A Conditional Transformer for Accident-Informed Traffic Forecasting
- Language models as tools for investigating the distinction between possible and impossible natural languages
- Detection and Localization of Subdural Hematoma Using Deep Learning on Computed Tomography
- CONCUR: A Framework for Continual Constrained and Unconstrained Routing
- BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
- Perception-Inspired Color Space Design for Photo White Balance Editing
- Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy
- Rates and architectures for learning geometrically non-trivial operators
- Log NeRF: Comparing Spaces for Learning Radiance Fields
- FUSER: Feed-Forward MUltiview 3D Registration Transformer and SE(3)N Diffusion Refinement
- Meta-learning three-factor plasticity rules for structured credit assignment with sparse feedback
- KGOT: Unified Knowledge Graph and Optimal Transport Pseudo-Labeling for Molecule-Protein Interaction Prediction
- ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation
- StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation
- A Granular Framework for Construction Material Price Forecasting: Econometric and Machine-Learning Approaches
- Minimization of Functions on Dually Flat Spaces Using Geodesic Descent Based on Dual Connections
- Branching Strategies Based on Subgraph GNNs: A Study on Theoretical Promise versus Practical Reality
- Development and Testing for Perception Based Autonomous Landing of a Long-Range QuadPlane
- Visual Categorization Across Minds and Models: Cognitive Analysis of Human Labeling and Neuro-Symbolic Integration
- Relightable and Dynamic Gaussian Avatar Reconstruction from Monocular Video
- Improved Physics-Driven Neural Network to Solve Inverse Scattering Problems
- UniLS: End-to-End Audio-Driven Avatars for Unified Listening and Speaking
- Self-Supervised Learning with Gaussian Processes
- Efficiency-Aware Computational Intelligence for Resource-Constrained Manufacturing Toward Edge-Ready Deployment
- Simultaneous Genetic Evolution of Neural Networks for Optimal SFC Embedding
- Functional Percolation: Criticality of Form and Function
- Benchmarking Real-World Medical Image Classification with Noisy Labels: Challenges, Practice, and Outlook
- Hetero-SplitEE: Split Learning of Neural Networks with Early Exits for Heterogeneous IoT Devices
- Transformer-Driven Multimodal Fusion for Explainable Suspiciousness Estimation in Visual Surveillance
- A Distributed Framework for Privacy-Enhanced Vision Transformers on the Edge
- From SAM to DINOv2: Towards Distilling Foundation Models to Lightweight Baselines for Generalized Polyp Segmentation
- VABench: A Comprehensive Benchmark for Audio-Video Generation
- Traffic Scene Small Target Detection Method Based on YOLOv8n-SPTS Model for Autonomous Driving
- Distributional Shrinkage II: Higher-Order Scores Encode Brenier Map
- Identifying Bias in Machine-generated Text Detection
- MelanomaNet: Explainable Deep Learning for Skin Lesion Classification
- LoGoColor: Local-Global 3D Colorization for 360deg Scenes
- Dynamic Facial Expressions Analysis Based Parkinson's Disease Auxiliary Diagnosis
- Impact of Positional Encoding: Clean and Adversarial Rademacher Complexity for Transformers under In-Context Regression
- LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations
- MoRel: Long-Range Flicker-Free 4D Motion Modeling via Anchor Relay-based Bidirectional Blending with Hierarchical Densification
- Contrastive Learning for Semi-Supervised Deep Regression with Generalized Ordinal Rankings from Spectral Seriation
- Robust and Sparse Estimation of Unbounded Density Ratio under Heavy Contamination
- FBA2D: Frequency-based Black-box Attack for AI-generated Image Detection
- ROI-Packing: Efficient Region-Based Compression for Machine Vision
- Debiased Bayesian Inference for High-dimensional Regression Models
- A Clinically Interpretable Deep CNN Framework for Early Chronic Kidney Disease Prediction Using Grad-CAM-Based Explainable AI
- Efficient Feature Compression for Machines with Global Statistics Preservation
- Enabling Next-Generation Consumer Experience with Feature Coding for Machines
- Tensor-Compressed and Fully-Quantized Training of Neural PDE Solvers