Papers
Wed 9 Jul 2025
323 papers
- Diffusion-Assisted Frequency Attention Model for Whole-body Low-field MRI ReconstructionDiffusion models → Medical imaging and segmentation
- Agentic AI with Orchestrator-Agent Trust: A Modular Visual Classification Framework with Trust-Aware Orchestration and RAG-Based ReasoningLLM agents and tool use → Multimodal and embodied agents
- RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
- DiffNMR: Diffusion Models for Nuclear Magnetic Resonance Spectra ElucidationDiffusion models → Flow matching, time series and science
- Towards Evaluating Robustness of Prompt Adherence in Text to Image ModelsDiffusion models → Image generation, text-to-image and editing
- AblationBench: Evaluating Automated Planning of Ablations in Empirical AI ResearchLLM agents and tool use → Web, search, and research agents
- CRISP: Complex Reasoning with Interpretable Step-based PlansLLM reasoning → Prompting and chain-of-thought reasoning
- On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI AlignmentLLM safety and security → Safety alignment, refusal and guardrails
- Entity Re-identification in Visual Storytelling via Contrastive Reinforcement LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Bridging the Plausibility-Validity Gap by Fine-Tuning a Reasoning-Enhanced LLM for Chemical Synthesis and DiscoveryLLM reasoning → Clinical and biomedical applications
- Optimizing Model Splitting and Device Task Assignment for Deceptive Signal Assisted Private Multi-hop Split LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Generating Moving 3D Soundscapes with Latent Diffusion ModelsDiffusion models → Audio, speech and music
- Frontier LLMs Still Struggle with Simple Reasoning TasksLLM reasoning → Mathematical reasoning
- Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health MisinformationRetrieval-augmented generation → Medical and biomedical RAG +1
- ViDove: A Translation Agent System with Multimodal Context and Memory-Augmented ReasoningLLM reasoning → Multimodal reasoning +1
- MLFM: Multi-Layered Feature Maps for Richer Language Understanding in Zero-Shot Semantic NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MagiC: Evaluating Multimodal Cognition Toward Grounded Visual ReasoningLLM reasoning → Multimodal reasoning +1
- LinguaMark: Do Multimodal Models Speak Fairly? A Benchmark-Based EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Open Source Planning & Control System with Language Agents for Autonomous Scientific DiscoveryLLM agents and tool use → Web, search, and research agents
- Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-AttentionMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular GenerationDiffusion models → Flow matching, time series and science
- Combining Pre-Trained Models for Enhanced Feature Representation in Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow MatchingDiffusion models → Flow matching, time series and science
- Evaluating Retrieval-Augmented Generation Agents for Autonomous Scientific Discovery in AstrophysicsRetrieval-augmented generation → Agentic RAG, agents and memory +1
- Robust Multimodal Large Language Models Against Modality ConflictMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Weighted Multi-Prompt Learning with Description-free Large Language Model DistillationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Attention-Aware GNN-based Input Defense against Multi-Turn LLM JailbreakLLM safety and security → Jailbreaking
- Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model UnlearningDiffusion models → Robustness, privacy and adversarial aspects +1
- Automating Evaluation of Diffusion Model Unlearning with (Vision-) Language Model World KnowledgeDiffusion models → Robustness, privacy and adversarial aspects +1
- Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature ExtractorMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- Vision-Language-Vision Auto-Encoder: Scalable Knowledge Distillation from Diffusion ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Comprehensive Evaluation of Large Multimodal Models for Nutrition Analysis: A New Benchmark Enriched with Contextual MetadataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- FlexOlmo: Open Language Models for Flexible Data UseMixture-of-experts → MoE large language models
- First Return, Entropy-Eliciting ExploreLLM reasoning → Reinforcement learning for reasoning
- MST-Distill: Mixture of Specialized Teachers for Cross-Modal Knowledge DistillationKnowledge distillation → Multimodal distillation
- Exact Evaluation of the Accuracy of Diffusion Models for Inverse Problems with Gaussian Data DistributionsDiffusion models → Inverse problems and image restoration
- Learning Deliberately, Acting Intuitively: Unlocking Test-Time Reasoning in Multimodal LLMsLLM reasoning → Multimodal reasoning +1
- Are They All Good? Evaluating the Quality of CoTs in LLM-based Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Free on the Fly: Enhancing Flexibility in Test-Time Adaptation with Online EMMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual RationaleMultimodal LLMs / vision-language models → Medical vision-language models +1
- Investigating the Robustness of Retrieval-Augmented Generation at the Query LevelRetrieval-augmented generation → RAG robustness and adaptive retrieval
- What Has a Foundation Model Found? Using Inductive Bias to Probe for World ModelsWorld models → World models for language agents
- Rethinking Verification for LLM Code Generation: From Generation to TestingLLM reasoning → Reasoning for agents, planning and code
- MIND: A Multi-agent Framework for Zero-shot Harmful Meme DetectionLLM safety and security → Safety alignment, refusal and guardrails
- Designing Adaptive Algorithms Based on Reinforcement Learning for Dynamic Optimization of Sliding Window Size in Multi-Dimensional Data StreamsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding ManipulationLLM agents and tool use → Agent threats, guardrails and governance +1
- Squeeze the Soaked Sponge: Efficient Off-policy Reinforcement Finetuning for Large Language ModelLLM reasoning → Reinforcement learning for reasoning
- DiffSpectra: Molecular Structure Elucidation from Spectra using Diffusion ModelsDiffusion models → Flow matching, time series and science
- The Dark Side of LLMs: Agent-based Attack Vectors for System-level CompromiseLLM agents and tool use → Agent threats, guardrails and governance +1
- Shifting from Ranking to Set Selection for Retrieval Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided FrameworkLLM reasoning → Test-time compute and efficient thinking
- Artificial Generals Intelligence: Mastering Generals.io with Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Hierarchical Reinforcement Learning for Articulated Tool Manipulation with Multifingered HandDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Learning safe, constrained policies via imitation learning: Connection to Probabilistic Inference and a Naive AlgorithmOffline RL and imitation learning from data → Imitation learning methods +1
- Finetuning Vision-Language Models as OCR Systems for Low-Resource Languages: A Case Study of ManchuMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- DIFFUMA: High-Fidelity Spatio-Temporal Video Prediction via Dual-Path Mamba and Diffusion EnhancementState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- A Neural Representation Framework with LLM-Driven Spatial Reasoning for Open-Vocabulary 3D Visual GroundingLLM reasoning → Spatial and embodied reasoning
- CLI-RAG: A Retrieval-Augmented Framework for Clinically Structured and Context Aware Text Generation with LLMsRetrieval-augmented generation → Medical and biomedical RAG
- Spatial-Temporal Aware Visuomotor Diffusion Policy LearningDiffusion models → Diffusion and flow policies for robotics +1
- Value from Observations: Towards Large-Scale Imitation Learning via Self-ImprovementOffline RL and imitation learning from data → Imitation learning methods +1
- Spatial-Temporal Graph Mamba for Music-Guided Dance Video SynthesisState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Text-promptable Object Counting via Quantity Awareness EnhancementMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Exploring State-Space-Model based Language Model in Music GenerationState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Enhancing Diffusion Model Stability for Image Restoration via Gradient ManagementDiffusion models → Inverse problems and image restoration
- Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion PriorDiffusion models → 3D, point cloud and scene generation
- Efficient Multi-Task Reinforcement Learning with Cross-Task Policy GuidanceDeep reinforcement learning methods → Deep RL algorithms and representations
- Nexus:Proactive Intra-GPU Disaggregation of Prefill and Decode in LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Decoder-Hybrid-Decoder Architecture for Efficient Reasoning with Long GenerationLLM reasoning → Test-time compute and efficient thinking
- Generalization in Reinforcement Learning for Radio Access NetworksDeep reinforcement learning methods → RL for energy, networks and operations
- MOST: Motion Diffusion Model for Rare Text via Temporal Clip Banzhaf InteractionDiffusion models → Video generation
- From Data-Centric to Sample-Centric: Enhancing LLM Reasoning via Progressive OptimizationLLM reasoning → Reinforcement learning for reasoning
- SlimCaching: Edge Caching of Mixture-of-Experts for Distributed InferenceMixture-of-experts → Efficient MoE training and inference systems
- SEARA: An Automated Approach for Obtaining Optimal RetrieversRetrieval-augmented generation → RAG pipeline design and evaluation
- Concept-TRAK: Understanding how diffusion models learn concepts through concept-level attributionDiffusion models → Image generation, text-to-image and editing
- Direct Regret Optimization in Bayesian OptimizationOffline RL and imitation learning from data → Offline RL algorithms
- InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes under Herd BehaviorLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Concept Unlearning by Modeling Key Steps of Diffusion ProcessDiffusion models → Robustness, privacy and adversarial aspects +1
- FIFA: Unified Faithfulness Evaluation Framework for Text-to-Video and Video-to-Text GenerationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Gradientsys: A Multi-Agent LLM Scheduler with ReAct OrchestrationLLM agents and tool use → General LLM agent frameworks and benchmarks
- SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep LayersEfficient LLM inference and serving → KV cache optimization
- Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language ModelsLLM reasoning → LLM reasoning for recommendation
- Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings for CLEF JOKER 2025 Task 2LLM agents and tool use → General LLM agent frameworks and benchmarks
- MoFE-Time: Mixture of Frequency Domain Experts for Time-Series Forecasting ModelsMixture-of-experts → MoE for time series and graphs
- Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video ReasoningLLM reasoning → Multimodal reasoning
- 3D-Generalist: Self-Improving Vision-Language-Action Models for Crafting 3D WorldsLLM reasoning → Spatial and embodied reasoning +1
- Animating Language Practice: Engagement with Stylized Conversational Agents in Japanese LearningLLM agents and tool use → Educational agents and math problem solving
- FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated LearningDiffusion models → Robustness, privacy and adversarial aspects
- Generative Lagrangian data assimilation for ocean dynamics under extreme sparsityDiffusion models → Flow matching, time series and science
- Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation ModelsSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- From Rattle to Roar: Optimizer Showdown for MambaStock on S&P 500
- Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback
- A Survey of Classification Tasks and Approaches for Legal Contracts
- You Don't Bring Me Flowers: Mitigating Unwanted Recommendations Through Conformal Risk Control
- Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization
- VerilogDB: The Largest, Highest-Quality Dataset with a Preprocessing Framework for LLM-based RTL Generation
- Scalable Attribute-Missing Graph Clustering via Neighborhood Differentiation
- Next-Generation Travel Demand Modeling with a Generative Framework for Household Activity Coordination
- GUIDE: Towards Scalable Advising for Research Ideas
- Mind the Gap: Navigating Inference with Optimal Transport Maps
All 323
- Underrepresentation, Label Bias, and Proxies: Towards Data Bias Profiles for the EU AI Act and Beyond
- Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale
- Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System
- On the under-reaching phenomenon in message-passing neural PDE solvers: revisiting the CFL condition
- e-Profits: A Business-Aligned Evaluation Metric for Profit-Sensitive Customer Churn Prediction
- Foundation models for time series forecasting: Application in conformal prediction
- Multi-omic Prognosis of Alzheimer's Disease with Asymmetric Cross-Modal Cross-Attention Network
- Clio-X: AWeb3 Solution for Privacy-Preserving AI Access to Digital Archives
- ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints
- Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights
- Integrating External Tools with Large Language Models to Improve Accuracy
- Beyond Scale: Small Language Models are Comparable to GPT-4 in Mental Health Understanding
- Benchmarking Waitlist Mortality Prediction in Heart Transplantation Through Time-to-Event Modeling using New Longitudinal UNOS Dataset
- Bayesian Double Descent
- Leveraging Manifold Embeddings for Enhanced Graph Transformer Representations and Learning
- Scalable and Realistic Virtual Try-on Application for Foundation Makeup with Kubelka-Munk Theory
- mmFlux: Crowd Flow Analytics with Commodity mmWave MIMO Radar
- Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
- ADIEE: Automatic Dataset Creation and Scorer for Instruction-Guided Image Editing Evaluation
- AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
- Application of LLMs to Multi-Robot Path Planning and Task Allocation
- Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
- Time Series Foundation Models for Multivariate Financial Time Series Forecasting
- Thermodynamic Prediction Enabled by Automatic Dataset Building and Machine Learning
- Discretization-independent operator learning for partial differential equations
- Estimating Dataset Dimension via Singular Metrics under the Manifold Hypothesis: Application to Inverse Problems
- Natural Evolutionary Search meets Probabilistic Numerics
- Convergence Rate for the Last Iterate of Stochastic Gradient Descent Schemes
- The Impact of Background Speech on Interruption Detection in Collaborative Groups
- TRIP: A Nonparametric Test to Diagnose Biased Feature Importance Scores
- Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time
- DisenQ: Disentangling Q-Former for Activity-Biometrics
- Robust Multimodal Learning Framework For Intake Gesture Detection Using Contactless Radar and Wearable IMU Sensors
- Exploiting Edge Features for Transferable Adversarial Attacks in Distributed Machine Learning
- FedP3E: Privacy-Preserving Prototype Exchange for Non-IID IoT Malware Detection in Cross-Silo Federated Learning
- Label-Efficient Chest X-ray Diagnosis via Partial CLIP Adaptation
- A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms
- MedRiskEval: Medical Risk Evaluation Benchmark of Language Models, On the Importance of User Perspectives in Healthcare Settings
- Automated Video Segmentation Machine Learning Pipeline
- Towards Robust Surrogate Models: Benchmarking Machine Learning Approaches to Expediting Phase Field Simulations of Brittle Fracture
- Simple Yet Effective: An Information-Theoretic Approach to Multi-LLM Uncertainty Quantification
- Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement
- SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
- Efficient Parametric SVD of Koopman Operator for Stochastic Dynamical Systems
- Neurosymbolic Feature Extraction for Identifying Forced Labor in Supply Chains
- Bias-Aware Mislabeling Detection via Decoupled Confident Learning
- Scaling can lead to compositional generalization
- State-Inference-Based Prompting for Natural Language Trading with Game NPCs
- A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality
- Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses
- Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs
- Large-scale portfolio optimization with variational neural annealing
- Interpretable EEG-to-Image Generation with Semantic Prompts
- Unreduced Persistence Diagrams for Topological Machine Learning
- CL-Polyp: A Contrastive Learning-Enhanced Network for Accurate Polyp Segmentation
- Aerial Maritime Vessel Detection and Identification
- Class conditional conformal prediction for multiple inputs by p-value aggregation
- DAF: An Efficient End-to-End Dynamic Activation Framework for on-Device DNN Training
- Explainable Artificial Intelligence in Biomedical Image Analysis: A Comprehensive Survey
- CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs
- Understanding Malware Propagation Dynamics through Scientific Machine Learning
- Str-GCL: Structural Commonsense Driven Graph Contrastive Learning
- Exploring Sparse Adapters for Scalable Merging of Parameter Efficient Experts
- GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction
- LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPS
- 4KAgent: Agentic Any Image to 4K Super-Resolution
- Does Data Scaling Lead to Visual Compositional Generalization?
- Small Batch Size Training for Language Models: When Vanilla SGD Works, and Why Gradient Accumulation Is Wasteful
- Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
- Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data
- Evaluating Attribute Confusion in Fashion Text-to-Image Generation
- RulerNet: Learning Perspective-Invariant Ruler Representations for Robust Image Scale Estimation
- An AI Approach for Learning the Spectrum of the Laplace-Beltrami Operator
- How to Bridge the Sim-to-Real Gap in Digital Twin-Aided Telecommunication Networks
- A Novel Hybrid Deep Learning Technique for Speech Emotion Detection using Feature Engineering
- Non-Asymptotic Analysis of Online Local Private Learning with SGD
- Surrogate Model for Heat Transfer Prediction in Impinging Jet Arrays using Dynamic Inlet/Outlet and Flow Rate Control
- Self-Supervised Learning at the Edge: The Cost of Labeling
- ZKTorch: Compiling ML Inference to Zero-Knowledge Proofs via Parallel Proof Accumulation
- UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations
- Design and Implementation of an OCR-Powered Pipeline for Table Extraction from Invoices
- On-Device Training of PV Power Forecasting Models in a Smart Meter for Grid Edge Intelligence
- Integrating Pathology Foundation Models and Spatial Transcriptomics for Cellular Decomposition from Histology Images
- When Context Is Not Enough: Modeling Unexplained Variability in Car-Following Behavior
- Deep Brain Net: An Optimized Deep Learning Model for Brain tumor Detection in MRI Images Using EfficientNetB0 and ResNet50 with Transfer Learning
- GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
- Enhancing non-Rigid 3D Model Deformations Using Mesh-based Gaussian Splatting
- Federated Learning-based MARL for Strengthening Physical-Layer Security in B5G Networks
- Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
- Cross-Modality Masked Learning for Survival Prediction in ICI Treated NSCLC Patients
- IMAIA: Interactive Maps AI Assistant for Travel Planning and Geo-Spatial Intelligence
- MCA-RG: Enhancing LLMs with Medical Concept Alignment for Radiology Report Generation
- A Principled Framework for Multi-View Contrastive Learning
- DenoiseCP-Net: Efficient Collective Perception in Adverse Weather via Joint LiDAR-Based 3D Object Detection and Denoising
- FRaN-X: FRaming and Narratives-eXplorer
- A multi-modal dataset for insect biodiversity with imagery and DNA at the trap and individual level
- Hallucinating 360deg: Panoramic Street-View Generation via Local Scenes Diffusion and Probabilistic Prompting
- Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy
- Scaling Towards the Information Boundary of Instruction Sets: The Infinity Instruct Subject Technical Report
- Noisy PDE Training Requires Bigger PINNs
- Segmentation Regularized Training for Multi-Domain Deep Learning Registration applied to MR-Guided Prostate Cancer Radiotherapy
- Off-Policy Evaluation Under Nonignorable Missing Data
- SimCortex: Collision-free Simultaneous Cortical Surfaces Reconstruction
- Ecological Legacies of Pre-Columbian Settlements Evident in Palm Clusters of Neotropical Mountain Forests
- MCCD: A Multi-Attribute Chinese Calligraphy Character Dataset Annotated with Script Styles, Dynasties, and Calligraphers
- DICE: Data Influence Cascade in Decentralized Learning
- Machine-Learned Force Fields for Lattice Dynamics at Coupled-Cluster Level Accuracy
- Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement
- Distribution-free inference for LightGBM and GLM with Tweedie loss
- Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
- Exploring LLMs for Predicting Tutor Strategy and Student Outcomes in Dialogues
- MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction
- Robust and Safe Traffic Sign Recognition using N-version with Weighted Voting
- SemRaFiner: Panoptic Segmentation in Sparse and Noisy Radar Point Clouds
- SCoRE: Streamlined Corpus-based Relation Extraction using Multi-Label Contrastive Learning and Bayesian kNN
- Developing and Maintaining an Open-Source Repository of AI Evaluations: Challenges and Insights
- A Single-Point Measurement Framework for Robust Cyber-Attack Diagnosis in Smart Microgrids Using Dual Fractional-Order Feature Analysis
- Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
- Winning and losing with Artificial Intelligence: What public discourse about ChatGPT tells us about how societies make sense of technological change
- Conformal Prediction for Long-Tailed Classification
- Episodic Contextual Bandits with Knapsacks under Conversion Models
- Longitudinal Study of Facial Biometrics at the BEZ: Temporal Variance Analysis
- IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
- SCC-recursiveness in infinite argumentation (extended version)
- OpenDPDv2: A Unified Learning and Optimization Framework for Neural Network Digital Predistortion
- Know Your Attention Maps: Class-specific Token Masking for Weakly Supervised Semantic Segmentation
- Adaptive collaboration for online personalized distributed learning with heterogeneous clients
- Scalable Gaussian Processes: Advances in Iterative Methods and Pathwise Conditioning
- Physics-Grounded Motion Forecasting via Equation Discovery for Trajectory-Guided Image-to-Video Generation
- Speckle2Self: Self-Supervised Ultrasound Speckle Reduction Without Clean Data
- HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
- Comprehensive Evaluation of Prototype Neural Networks
- Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control
- HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement
- Intrinsic Training Signals for Federated Learning Aggregation
- Democratizing High-Fidelity Co-Speech Gesture Video Generation
- GreenHyperSpectra: A multi-source hyperspectral dataset for global vegetation trait prediction
- Text to model via SysML: Automated generation of dynamical system computational models from unstructured natural language text via enhanced System Modeling Language diagrams
- Speech Tokenizer is Key to Consistent Representation
- Comparing Dialectical Systems: Contradiction and Counterexample in Belief Change (Extended Version)
- Unlocking Thermal Aerial Imaging: Synthetic Enhancement of UAV Datasets
- ixi-GEN: Efficient Industrial sLLMs through Domain Adaptive Continual Pretraining
- Temporal Information Retrieval via Time-Specifier Model Merging
- Tailoring deep learning for real-time brain-computer interfaces: From offline models to calibration-free online decoding
- Stability, Complexity and Data-Dependent Worst-Case Generalization Bounds
- Checklist Engineering Empowers Multilingual LLM Judges
- Robust Deep Network Learning of Nonlinear Regression Tasks by Parametric Leaky Exponential Linear Units (LELUs) and a Diffusion Metric
- Fast Equivariant Imaging: Accelerating Unsupervised Learning and Model Adaptation via Inexact Splitting
- FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views
- KAConvText: Novel Approach to Burmese Sentence Classification using Kolmogorov-Arnold Convolution
- Mathematical artificial data for operator learning
- LOVON: Legged Open-Vocabulary Object Navigator
- Dual-Granularity Cross-Modal Identity Association for Weakly-Supervised Text-to-Person Image Matching
- PromptTea: Let Prompts Tell TeaCache the Optimal Threshold
- Residual Prior-driven Frequency-aware Network for Image Fusion
- Civil Society in the Loop: Feedback-Driven Adaptation of (L)LM-Assisted Classification in an Open-Source Telegram Monitoring Tool
- MADPOT: Medical Anomaly Detection with CLIP Adaptation and Partial Optimal Transport
- Hierarchical Feature Alignment for Gloss-Free Sign Language Translation
- stCEG: An R Package for Modelling Events over Spatial Areas Using Chain Event Graphs
- On the Effect of Uncertainty on Layer-wise Inference Dynamics
- PINN-Obs: Physics-Informed Neural Network-Based Observer for Nonlinear Dynamical Systems
- Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
- StixelNExT++: Lightweight Monocular Scene Segmentation and Representation for Collective Perception
- Photometric Stereo using Gaussian Splatting and inverse rendering
- Fast Gaussian Processes under Monotonicity Constraints
- FlexGaussian: Flexible and Cost-Effective Training-Free Compression for 3D Gaussian Splatting
- MK-Pose: Category-Level Object Pose Estimation via Multimodal-Based Keypoint Learning
- Elite Polarization in European Parliamentary Speeches: a Novel Measurement Approach Using Large Language Models
- Non-asymptotic confidence regions on RKHS. The Paley-Wiener and standard Sobolev space cases
- MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image Retrieval
- Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making
- Deep Disentangled Representation Network for Treatment Effect Estimation
- ClipGS: Clippable Gaussian Splatting for Interactive Cinematic Visualization of Volumetric Medical Data
- Learning from Sparse Point Labels for Dense Carcinosis Localization in Advanced Ovarian Cancer Assessment
- EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision
- Adaptively Truncated Signature-based Logistic Regression for Semi-parametric Functional Classification
- Prevention of Overfitting on Mesh-Structured Data Regressions with a Modified Laplace Operator
- Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
- Q-Guided Stein Variational Model Predictive Control via RL-informed Policy Prior
- UniOD: A Universal Model for Outlier Detection across Diverse Domains
- Expediting data extraction using a large language model (LLM) and scoping review protocol: a methodological study within a complex scoping review
- FuDoBa: Fusing Document and Knowledge Graph-based Representations with Bayesian Optimisation
- Steps Adaptive Decay DPSGD: Enhancing Performance on Imbalanced Datasets with Differential Privacy with HAM10000
- PointVDP: Learning View-Dependent Projection by Fireworks Rays for 3D Point Cloud Segmentation
- Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
- Omni-Fusion of Spatial and Spectral for Hyperspectral Image Segmentation
- Cross-Modal Dual-Causal Learning for Long-Term Action Recognition
- Capturing Stable HDR Videos Using a Dual-Camera System
- Ambiguity-aware Point Cloud Segmentation by Adaptive Margin Contrastive Learning
- Learning controllable dynamics through informative exploration
- Airway Segmentation Network for Enhanced Tubular Feature Extraction
- Enhancing Food-Domain Question Answering with a Multimodal Knowledge Graph: Hybrid QA Generation and Diversity Analysis
- Edge-Boundary-Texture Loss: A Tri-Class Generalization of Weighted Binary Cross-Entropy for Enhanced Edge Detection
- A Mathematical Theory of Discursive Networks
- SkyVLN: Vision-and-Language Navigation and NMPC Control for UAVs in Urban Environments
- DS@GT at CheckThat! 2025: Exploring Retrieval and Reranking Pipelines for Scientific Claim Source Retrieval on Social Media Discourse
- Divergence-Based Similarity Function for Multi-View Contrastive Learning
- The Primacy of Magnitude in Low-Rank Adaptation
- On the Hardness of Unsupervised Domain Adaptation: Optimal Learners and Information-Theoretic Perspective
- Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
- Token Bottleneck: One Token to Remember Dynamics
- On the Surprising Effectiveness of a Single Global Merging in Decentralized Learning
- Graph-based Fake Account Detection: A Survey
- Large Language Model for Extracting Complex Contract Information in Industrial Scenes
- Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
- A model-agnostic active learning approach for animal detection from camera traps
- Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
- From large-eddy simulations to deep learning: A U-net model for fast urban canopy flow predictions
- ILNet: Trajectory Prediction with Inverse Learning Attention for Enhancing Intention Capture
- Speak2Sign3D: A Multi-modal Pipeline for English Speech to American Sign Language Animation
- AdaDPIGU: Differentially Private SGD with Adaptive Clipping and Importance-Based Gradient Updates for Deep Neural Networks
- Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
- Instance-Wise Monotonic Calibration by Constrained Transformation
- What Demands Attention in Urban Street Scenes? From Scene Understanding towards Road Safety: A Survey of Vision-driven Datasets and Studies
- Towards LLM-based Root Cause Analysis of Hardware Design Failures
- Prediction-Augmented Mechanism Design for Weighted Facility Location
- On the Robustness of Verbal Confidence of LLMs in Adversarial Attacks
- Mask6D: Masked Pose Priors For 6D Object Pose Estimation
- Stochastic Alignments: Matching an Observed Trace to Stochastic Process Models
- Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning
- SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam
- Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
- EA: An Event Autoencoder for High-Speed Vision Sensing