Papers
Wed 10 Sep 2025
286 papers
- Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation UnlearningRetrieval-augmented generation → RAG for recommendation +1
- HealthDial: A No-Code LLM-Assisted Dialogue Authoring Tool for Healthcare Virtual AgentsLLM agents and tool use → Medical and scientific domain agents
- NurseSchedRL: Attention-Guided Reinforcement Learning for Nurse-Patient AssignmentDeep reinforcement learning methods → RL for clinical treatment and surgery
- MobileRL: Online Agentic Reinforcement Learning for Mobile GUI AgentsLLM agents and tool use → GUI and mobile agents
- FRIT: Using Causal Importance to Improve Chain-of-Thought FaithfulnessLLM reasoning → Prompting and chain-of-thought reasoning
- Artificial Intelligence in Breast Cancer Care: Transforming Preoperative Planning and Patient Education with 3D ReconstructionState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- AVEC: Bootstrapping Privacy for Local LLMsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- World Modeling with Probabilistic Structure IntegrationWorld models → Latent predictive world models
- MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated ToolsLLM agents and tool use → Tool learning and function calling
- Decomposing Visual Classification: Assessing Tree-Based Reasoning in VLMsLLM reasoning → Multimodal reasoning +1
- Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge ReasoningLLM reasoning → Multimodal reasoning +1
- MITS: A Large-Scale Multimodal Benchmark Dataset for Intelligent Traffic SurveillanceMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- A Role-Aware Multi-Agent Framework for Financial Education Question Answering with LLMsLLM agents and tool use → Financial trading and forecasting agents
- A Multimodal RAG Framework for Housing Damage Assessment: Collaborative Optimization of Image Encoding and Policy Vector RetrievalRetrieval-augmented generation → Multimodal RAG
- Improving LLM Safety and Helpfulness using SFT and DPO: A Study on OPT-350MLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Integrating Anatomical Priors into a Causal Diffusion ModelDiffusion models → Medical imaging and segmentation
- VoxelFormer: Parameter-Efficient Multi-Subject Visual Decoding from fMRIEfficient LLM inference and serving → Visual token pruning in multimodal models
- Can Vision-Language Models Solve Visual Math Equations?LLM reasoning → Multimodal reasoning +1
- ForTIFAI: Fending Off Recursive Training Induced Failure for AI Model CollapseSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Gala: Global LLM Agents for Text-to-Model TranslationLLM reasoning → Reasoning for agents, planning and code +1
- Multi-Agent Inverse Reinforcement Learning for Identifying Pareto-Efficient Coordination -- A Distributionally Robust ApproachOffline RL and imitation learning from data → Inverse reinforcement learning
- Corruption-Tolerant Asynchronous Q-Learning with Near-Optimal RatesDeep reinforcement learning methods → RL theory and sample complexity
- Automated Evidence Extraction and Scoring for Corporate Climate Policy Engagement: A Multilingual RAG ApproachRetrieval-augmented generation → Agentic RAG, agents and memory
- Recurrence Meets Transformers for Universal Multimodal RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- GeoJSON Agents:A Multi-Agent LLM Architecture for Geospatial Analysis-Function Calling vs Code GenerationLLM agents and tool use → Multimodal and embodied agents
- A Survey of Reinforcement Learning for Large Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- RewardDance: Reward Scaling in Visual GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- RoboChemist: Long-Horizon and Safety-Compliant Robotic Chemical ExperimentationVision-language-action models → Failure recovery and robustness
- Merge-of-Thought DistillationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Evaluating LLMs Without Oracle Feedback: Agentic Annotation Evaluation Through Unsupervised Consistency SignalsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Handling Open-Vocabulary Constructs in Formalizing Specifications: Retrieval-Augmented Parsing with Expert KnowledgeRetrieval-augmented generation → Generation and context integration
- Narrative-Guided Reinforcement Learning: A Platform for Studying Language Model Influence on Decision MakingLLM reasoning → Reinforcement learning for reasoning
- Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt EnsemblesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- AgentGym-RL: Training LLM Agents for Long-Horizon Decision Making through Multi-Turn Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning ModelLLM reasoning → Reasoning for agents, planning and code
- ChemBOMAS: Accelerated BO in Chemistry with LLM-Enhanced Multi-Agent SystemLLM agents and tool use → Medical and scientific domain agents
- Generating solution paths of Markovian stochastic differential equations using diffusion modelsDiffusion models → Diffusion foundations and sampling
- X-Teaming Evolutionary M2S: Automated Discovery of Multi-turn to Single-turn Jailbreak TemplatesLLM safety and security → Jailbreaking
- Sharing is Caring: Efficient LM Post-Training with Collective RL Experience SharingLLM reasoning → Reinforcement learning for reasoning +1
- BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal FusionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Accelerating Diffusion Transformer-Based Text-to-Speech with Transformer Layer CachingDiffusion models → Diffusion foundations and sampling
- Replicable Reinforcement Learning with Linear Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
- Architecting Resilient LLM Agents: A Guide to Secure Plan-then-Execute ImplementationsLLM agents and tool use → Agent threats, guardrails and governance
- AutoODD: Agentic Audits via Bayesian Red Teaming in Black-Box ModelsLLM agents and tool use → Software engineering coding agents
- LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain TranslationDiffusion models → Image generation, text-to-image and editing
- Towards Interpretable Deep Neural Networks for Tabular DataMechanistic interpretability → Sparse autoencoder training and evaluation
- LLM Ensemble for RAG: Role of Context Length in Zero-Shot Question Answering for BioASQ ChallengeRetrieval-augmented generation → Medical and biomedical RAG
- BitROM: Weight Reload-Free CiROM Architecture Towards Billion-Parameter 1.58-bit LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
- CM-Align: Consistency-based Multilingual Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Agents of DiscoveryLLM agents and tool use → Web, search, and research agents
- TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-makingLLM reasoning → Multimodal reasoning +2
- A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Too Helpful, Too Harmless, Too Honest or Just Right?Mixture-of-experts → MoE large language models
- Joint Learning using Mixture-of-Expert-Based Representation for Speech Enhancement and Robust Emotion RecognitionMixture-of-experts → Multimodal MoE models
- Adapting Vision-Language Models for Neutrino Event Classification in High-Energy PhysicsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- First-order State Space Model for Lightweight Image Super-resolutionState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Behind the Scenes: Mechanistic Interpretability of LoRA-adapted Whisper for Speech Emotion RecognitionMechanistic interpretability → SAE features and their applications
- Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness ForecastingDiffusion models → Medical imaging and segmentation
- PegasusFlow: Parallel Rolling-Denoising Score Sampling for Robot Diffusion Planner Flow MatchingDiffusion models → Diffusion and flow policies for robotics +1
- LD-ViCE: Latent Diffusion Model for Video Counterfactual ExplanationsDiffusion models → Diffusion foundations and sampling
- SINDI: An Efficient Index for Sparse Vector Approximate Maximum Inner Product SearchRetrieval-augmented generation → Vector search and ANN indexes
- Co-Investigator AI: The Rise of Agentic AI for Smarter, Trustworthy AML Compliance NarrativesLLM agents and tool use → Agent threats, guardrails and governance
- LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching ModelsDiffusion models → Audio, speech and music
- <think> So let's replace this phrase with insult... </think> Lessons learned from generation of toxic texts with LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Accelerating Mixture-of-Expert Inference with Adaptive Expert Split MechanismMixture-of-experts → Efficient MoE training and inference systems
- Retrieval-Augmented VLMs for Multimodal Melanoma DiagnosisRetrieval-augmented generation → Medical and biomedical RAG
- Physics-Guided Rectified Flow for Low-light RAW Image EnhancementDiffusion models → Inverse problems and image restoration
- CalexNet: Soft Cascade-Aligned Training and Calibration for Lightweight Early-Exit BranchesEfficient LLM inference and serving → Early exit and edge inference
- EvolKV: Evolutionary KV Cache Compression for LLM InferenceEfficient LLM inference and serving → KV cache optimization
- SimCroP: Radiograph Representation Learning with Similarity-driven Cross-granularity Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Interpretable Physics Reasoning and Performance Taxonomy in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text FeaturesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Symmetry-Guided Multi-Agent Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction FollowingRetrieval-augmented generation → Agentic RAG, agents and memory
- A Comprehensive Review of Reinforcement Learning for Autonomous Driving in the CARLA SimulatorEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Vector embedding of multi-modal texts: a tool for discovery?Multimodal LLMs / vision-language models → Document understanding and multimodal RAG
- IMDMR: An Intelligent Multi-Dimensional Memory Retrieval System for Enhanced Conversational AI
- asLLR: LLM based Leads Ranking in Auto Sales
- LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
- Exploring Human-AI Collaboration Using Mental Models of Early Adopters of Multi-Agent Generative AI Tools
- S2Transformer: Scalable Structured Transformers for Global Station Weather Forecasting
- Advancing Few-Shot Pediatric Arrhythmia Classification with a Novel Contrastive Loss and Multimodal Learning
- Prediction of Coffee Ratings Based On Influential Attributes Using SelectKBest and Optimal Hyperparameters
- SPADE: A Large Language Model Framework for Soil Moisture Pattern Recognition and Anomaly Detection in Precision Agriculture
- GAUSS: Benchmarking Structured Mathematical Skills for Large Language Models
- Energy-convergence trade off for the training of neural networks on bio-inspired hardware
- A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning
- Decentor-V: Lightweight ML Training on Low-Power RISC-V Edge Devices
- Robust and continuous machine learning of usage habits to adapt digital interfaces to user needs
- Amortized Latent Steering: Low-Cost Alternative to Test-Time Optimization
- Towards Scalable and Structured Spatiotemporal Forecasting
- The meaning of prompts and the prompts of meaning: Semiotic reflections and modelling
- Advancing Conversational AI with Shona Slang: A Dataset and Hybrid Model for Digital Inclusion
- Evaluation Awareness Scales Predictably in Open-Weights Large Language Models
- RU-Net for Automatic Characterization of TRISO Fuel Cross Sections
- CNN-BiLSTM for sustainable and non-invasive COVID-19 detection via salivary ATR-FTIR spectroscopy
- Assessing the Limits of Graph Neural Networks for Vapor-Liquid Equilibrium Prediction: A Cryogenic Mixture Case Study
- GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python
- HypoGeneAgent: A Hypothesis Language Agent for Gene-Set Cluster Resolution Selection Using Perturb-seq Datasets
- Human-AI Collaboration Increases Efficiency in Regulatory Writing
All 286
- Discrimination by LLMs: Cross-lingual Bias Assessment and Mitigation in Decision-Making and Summarisation
- MultimodalHugs: Enabling Sign Language Processing in Hugging Face
- A meta-analysis on the performance of machine-learning based language models for sentiment analysis
- Natural Language Translation of Formal Proofs through Informalization of Proof Steps and Recursive Summarization along Proof Structure
- BIBERT-Pipe on Biomedical Nested Named Entity Linking at BioASQ 2025
- DiTTO-LLM: Framework for Discovering Topic-based Technology Opportunities via Large Language Model
- ALIGNS: Unlocking nomological networks in psychological measurement through a large language model
- Improving MLLM Historical Record Extraction with Test-Time Image
- A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management
- MoWE : A Mixture of Weather Experts
- The Role of Community Detection Methods in Performance Variations of Graph Mining Tasks
- Stated Preference for Interaction and Continued Engagement (SPICE): Evaluating an LLM's Willingness to Re-engage in Conversation
- Envy-Free but Still Unfair: Envy-Freeness Up To One Item (EF-1) in Personalized Recommendation
- Generative quantum advantage for classical and quantum problems
- Contextual Learning for Anomaly Detection in Tabular Data
- COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation
- Open-sci-ref-0.01: open and reproducible reference baselines for language model and dataset comparison
- E-MLNet: Enhanced Mutual Learning for Universal Domain Adaptation with Sample-Specific Weighting
- Implicit Neural Representations of Intramyocardial Motion and Strain
- Fast attention mechanisms: a tale of parallelism
- UltrON: Ultrasound Occupancy Networks
- Uncertainty Awareness and Trust in Explainable AI- On Trust Calibration using Local and Global Explanations
- Active Learning and Explainable AI for Multi-Objective Optimization of Spin Coated Polymers
- iMatcher: Improve matching in point cloud registration via local-to-global geometric consistency learning
- Green Federated Learning via Carbon-Aware Client and Time Slot Scheduling
- Ultrafast Deep Learning-Based Scatter Estimation in Cone-Beam Computed Tomography
- Physics-informed waveform inversion using pretrained wavefield neural operators
- Value bounds and Convergence Analysis for Averages of LRP attributions
- FoundationalECGNet: A Lightweight Foundational Model for ECG-based Multitask Cardiac Analysis
- BRoverbs -- Measuring how much LLMs understand Portuguese proverbs
- CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision
- Convexity of Optimization Curves: Local Sharp Thresholds, Robustness Impossibility, and New Counterexamples
- Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities
- An U-Net-Based Deep Neural Network for Cloud Shadow and Sun-Glint Correction of Unmanned Aerial System (UAS) Imagery
- CameraVDP: Perceptual Display Assessment with Uncertainty Estimation via Camera and Visual Difference Prediction
- Group Distributionally Robust Machine Learning under Group Level Distributional Uncertainty
- Discovering Divergent Representations between Text-to-Image Models
- Live(r) Die: Predicting Survival in Colorectal Liver Metastasis
- SFD-Mamba2Net: Structure-Guided Frequency-Enhanced Dual-Stream Mamba2 Network for Coronary Artery Segmentation
- Similarity-based Outlier Detection for Noisy Object Re-Identification Using Beta Mixtures
- Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
- Generative Engine Optimization: How to Dominate AI Search
- Instance-Optimal Matrix Multiplicative Weight Update and Its Quantum Applications
- PromptGuard: An Orchestrated Prompting Framework for Principled Synthetic Text Generation for Vulnerable Populations using LLMs with Enhanced Safety, Fairness, and Controllability
- Diffusion-Based Action Recognition Generalizes to Untrained Domains
- Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
- WarpPINN-fibers: improved cardiac strain estimation from cine-MR with physics-informed neural networks
- Benchmarking Energy Efficiency of Large Language Models Using vLLM
- Investigating Student Interaction Patterns with Large Language Model-Powered Course Assistants in Computer Science Courses
- SAFT: Shape and Appearance of Fabrics from Template via Differentiable Physical Simulations from Monocular Video
- Large Language Model Hacking: Quantifying the Hidden Risks of Using LLMs for Text Annotation
- Building High-Quality Datasets for Portuguese LLMs: From Common Crawl Snapshots to Industrial-Grade Corpora
- A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management
- GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts
- QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
- MoVoC: Morphology-Aware Subword Construction for Geez Script Languages
- Handling Multiple Hypotheses in Coarse-to-Fine Dense Image Matching
- Scaling Truth: The Confidence Paradox in AI Fact-Checking
- PianoVAM: A Multimodal Piano Performance Dataset
- Quantifying Accuracy of an Event-Based Star Tracker via Earth's Rotation
- An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images
- ADHDeepNet From Raw EEG to Diagnosis: Improving ADHD Diagnosis through Temporal-Spatial Processing, Adaptive Attention Mechanisms, and Explainability in Raw EEG Signals
- Do All Autoregressive Transformers Remember Facts the Same Way? A Cross-Architecture Analysis of Recall Mechanisms
- One-shot acceleration of transient PDE solvers via online-learned preconditioners
- ArgoTweak: Towards Self-Updating HD Maps through Structured Priors
- Fourier Learning Machines: Nonharmonic Fourier-Based Neural Networks for Scientific Machine Learning
- SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
- Using AI to Optimize Patient Transfer and Resource Utilization During Mass-Casualty Incidents: A Simulation Platform
- Streaming Sequence-to-Sequence Learning with Delayed Streams Modeling
- Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction
- Bregman Douglas-Rachford Splitting Method
- CrowdQuery: Density-Guided Query Module for Enhanced 2D and 3D Detection in Crowded Scenes
- DEQuify your force field: More efficient simulations using deep equilibrium models
- Decentralized Stochastic Nonconvex Optimization under the (L0,L1)-Smoothness
- Explainability of CNN Based Classification Models for Acoustic Signal
- Compressing CNN models for resource-constrained systems by channel and layer pruning
- The More You Automate, the Less You See: Hidden Pitfalls of AI Scientist Systems
- Computational Imaging for Enhanced Computer Vision
- Securing Private Federated Learning in a Malicious Setting: A Scalable TEE-Based Approach with Client Auditing
- Tokenizing Loops of Antibodies
- One Model, Two Minds: A Context-Gated Graph Learner that Recreates Human Biases
- Machine Learning-Based Prediction of Speech Arrest During Direct Cortical Stimulation Mapping
- TANGO: Traversability-Aware Navigation with Local Metric Control for Topological Goals
- Multi-Modal Robust Enhancement for Coastal Water Segmentation: A Systematic HSV-Guided Framework
- Deep Unrolling of Sparsity-Induced RDO for 3D Point Cloud Attribute Coding
- Perfectly-Private Analog Secure Aggregation in Federated Learning
- Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference
- Signal Fidelity Index-Aware Calibration for Dementia Predictions Across Heterogeneous Real-World Data
- FractalPINN-Flow: A Fractal-Inspired Network for Unsupervised Optical Flow Estimation with Total Variation Regularization
- Skeleton-based sign language recognition using a dual-stream spatio-temporal dynamic graph convolutional network
- Robust Belief-State Policy Learning for Quantum Network Routing Under Decoherence and Time-Varying Conditions
- Generative Data Refinement: Just Ask for Better Data
- X-Part: high fidelity and structure coherent shape decomposition
- RoentMod: A Synthetic Chest X-Ray Modification Model to Identify and Correct Image Interpretation Model Shortcuts
- An upper bound on the silhouette evaluation metric for clustering
- UOPSL: Unpaired OCT Predilection Sites Learning for Fundus Image Diagnosis Augmentation
- AdsQA: Towards Advertisement Video Understanding
- A hierarchical entropy method for the delocalization of bias in high-dimensional Langevin Monte Carlo
- CLAPS: A CLIP-Unified Auto-Prompt Segmentation for Multi-Modal Retinal Imaging
- OTESGN: Optimal Transport-Enhanced Syntactic-Semantic Graph Networks for Aspect-Based Sentiment Analysis
- MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation
- Classification of 24-hour movement behaviors from wrist-worn accelerometer data: from handcrafted features to deep learning techniques
- Memorization in Large Language Models in Medicine: Prevalence, Characteristics, and Implications
- No-Knowledge Alarms for Misaligned LLMs-as-Judges
- Interpretability as Alignment: Making Internal Understanding a Design Principle
- CNN-ViT Hybrid for Pneumonia Detection: Theory and Empiric on Limited Data without Pretraining
- EfficientIML: Efficient High-Resolution Image Manipulation Localization
- Implicit Shape-Prior for Few-Shot Assisted 3D Segmentation
- Multi-modal Adaptive Estimation for Temporal Respiratory Disease Outbreak
- Improving Greenland Bed Topography Mapping with Uncertainty-Aware Graph Learning on Sparse Radar Data
- Vision-Language Semantic Aggregation Leveraging Foundation Model for Generalizable Medical Image Segmentation
- A transport approach to the cutoff phenomenon
- A Common Pipeline for Harmonizing Electronic Health Record Data for Translational Research
- ViewSparsifier: Killing Redundancy in Multi-View Plant Phenotyping
- Motion-Based User Identification across XR and Metaverse Applications by Deep Classification and Similarity Learning
- MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models
- Data Skeleton Learning: Scalable Active Clustering with Sparse Graph Structures
- AutoStub: Genetic Programming-Based Stub Creation for Symbolic Execution
- FMTX: Lazy Wavefront Search for Dynamic Replanning
- HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning
- Variational Rank Reduction Autoencoders for Generative Thermal Design
- Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
- Chirality in Action: Time-Aware Video Representation Learning by Latent Straightening
- Heart Disease Prediction: A Comparative Study of Optimisers Performance in Deep Neural Networks
- HumanAgencyBench: Scalable Evaluation of Human Agency Support in AI Assistants
- Send to which account? Evaluation of an LLM-based Scambaiting System
- Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation
- Simulating Identity, Propagating Bias: Abstraction and Stereotypes in LLM-Generated Text
- Modified Loss of Momentum Gradient Descent: Fine-Grained Analysis
- SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms
- Acquiescence Bias in Large Language Models
- Maximally Useful and Minimally Redundant: The Key to Self Supervised Learning for Imbalanced Data
- An Interpretable Deep Learning Model for General Insurance Pricing
- Adversarial Attacks Against Automated Fact-Checking: A Survey
- Gaussian Process Regression -- Neural Network Hybrid with Optimized Redundant Coordinates
- DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
- CommonVoice-SpeechRE and RPG-MoGe: Advancing Speech Relation Extraction with a New Dataset and Multi-Order Generative Framework
- HyperTTA: Test-Time Adaptation for Hyperspectral Image Classification under Distribution Shifts
- ATLASFusion: Aggregation Tracking with Location-Aware Sparse Fusion for Robust Spatio-Temporal Multi-View Pedestrian Tracking
- Facet: highly efficient E(3)-equivariant networks for interatomic potentials
- An Iterative LLM Framework for SIBT utilizing RAG-based Adaptive Weight Optimization
- Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models
- VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
- Semantic Causality-Aware Vision-Based 3D Occupancy Prediction
- LLM-Guided Ans"atze Design for Quantum Circuit Born Machines in Financial Generative Modeling
- Efficient Decoding Methods for Language Models on Encrypted Data
- Low-Resource Fine-Tuning for Multi-Task Structured Information Extraction with a Billion-Parameter Instruction-Tuned Model
- Bitrate-Controlled Diffusion for Disentangling Motion and Content in Video
- InsFusion: Rethink Instance-level LiDAR-Camera Fusion for 3D Object Detection
- Rethinking the Backbone in Class Imbalanced Federated Source Free Domain Adaptation: The Utility of Vision Foundation Models
- kNNSampler: Stochastic Imputations for Recovering Missing Value Distributions
- Prediction Loss Guided Decision-Focused Learning
- Automatic Detection of Inauthentic Templated Responses in English Language Assessments
- Grasp Like Humans: Learning Generalizable Multi-Fingered Grasping from Human Proprioceptive Sensorimotor Integration
- Chordless cycle filtrations for dimensionality detection in complex networks via topological data analysis
- Toward Subtrait-Level Model Explainability in Automated Writing Evaluation
- Good Deep Features to Track: Self-Supervised Feature Extraction and Tracking in Visual Odometry
- Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
- Leveraging AI Agents for Autonomous Networks: A Reference Architecture and Empirical Studies
- Game-Theoretic Resilience Framework for Cyber-Physical Microgrids using Multi-Agent Reinforcement Learning
- Explainable Semantic Text Relations: A Question-Answering Framework for Comparing Document Content
- An Open Benchmark Dataset for GeoAI Foundation Models for Oil Palm Mapping in Indonesia
- Foundation Models for Autonomous Driving Perception: A Survey Through Core Capabilities
- FoQuS: A Forgetting-Quality Coreset Selection Framework for Automatic Modulation Recognition
- Dual-Thresholded Heatmap-Guided Proposal Clustering and Negative Certainty Supervision with Enhanced Base Network for Weakly Supervised Object Detection
- Segment Transformer: AI-Generated Music Detection via Music Structural Analysis
- Real-world Music Plagiarism Detection With Music Segment Transcription System
- Generalized Zero-Shot Learning for Point Cloud Segmentation with Evidence-Based Dynamic Calibration
- Adaptive Rainfall Forecasting from Multiple Geographical Models Using Matrix Profile and Ensemble Learning
- A Systematic Survey on Large Language Models for Evolutionary Optimization: From Modeling to Solving
- Hyperspectral Mamba for Hyperspectral Object Tracking
- EVDI++: Event-based Video Deblurring and Interpolation via Self-Supervised Learning
- Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning
- The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data
- Symmetry Interactive Transformer with CNN Framework for Diagnosis of Alzheimer's Disease Using Structural MRI
- Combined-distance-based score function of cognitive fuzzy sets and its application in lung cancer pain evaluation
- RepViT-CXR: A Channel Replication Strategy for Vision Transformers in Chest X-ray Tuberculosis and Pneumonia Classification
- Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization
- GTA-Crime: A Synthetic Dataset and Generation Framework for Fatal Violence Detection with Adversarial Snippet-Level Domain Adaptation
- Sparse Transformer for Ultra-sparse Sampled Video Compressive Sensing
- Ensemble Distribution Distillation for Self-Supervised Human Activity Recognition
- Generative Quasi-Continuum Modeling of Confined Fluids at the Nanoscale
- Balancing Quality and Variation: Spam Filtering Distorts Data Label Distributions
- Lightweight Deep Unfolding Networks with Enhanced Robustness for Infrared Small Target Detection
- Componentization: Decomposing Monolithic LLM Responses into Manipulable Semantic Units
- Accelerating AI Development with Cyber Arenas