Papers
Wed 30 Apr 2025
269 papers
- Can Memory-Augmented LLM Agents Aid Journalism in Interpreting and Framing News for Diverse Audiences?LLM agents and tool use → Web, search, and research agents
- On the Failure of Latent State Persistence in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- LongFuncEval: Measuring the effectiveness of long context models for function callingLLM agents and tool use → Tool learning and function calling
- Calibrating Uncertainty Quantification of Multi-Modal LLMs using GroundingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- When Reasoning Beats Scale: A 1.5B Reasoning Model Outranks 13B LLMs as DiscriminatorLLM reasoning → Reasoning benchmarks and evaluation
- mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imagingLLM agents and tool use → Medical and scientific domain agents
- ALFRED: Ask a Large-language model For Reliable ECG DiagnosisRetrieval-augmented generation → Medical and biomedical RAG
- Entropy Heat-Mapping: Localizing GPT-Based OCR Errors with Sliding-Window Shannon AnalysisMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Localizing Before Answering: A Hallucination Evaluation Benchmark for Grounded Medical Multimodal LLMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Zoomer: Adaptive Image Focus Optimization for Black-box MLLMMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and InsightsOffline RL and imitation learning from data → Real-world robot offline RL
- Empirical Evaluation of Progressive Coding for Sparse AutoencodersMechanistic interpretability → Sparse autoencoder training and evaluation
- Deep Reinforcement Learning Policies for Underactuated Satellite Attitude ControlDeep reinforcement learning methods → RL for robot navigation and UAV control
- V3LMA: Visual 3D-enhanced Language Model for Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Detecting and Mitigating Hateful Content in Multimodal Memes with Vision-Language ModelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt DesignMultimodal LLMs / vision-language models → Medical vision-language models
- Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMsLLM reasoning → Test-time compute and efficient thinking
- Optimization of embeddings storage for RAG systems using quantization and dimensionality reduction techniquesRetrieval-augmented generation → Generation and context integration
- CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban ScenariosLLM agents and tool use → Multimodal and embodied agents
- GDI-Bench: A Benchmark for General Document Intelligence with Vision and Reasoning DecouplingLLM reasoning → Multimodal reasoning +1
- Humanizing LLMs: A Survey of Psychological Measurements with Tools, Datasets, and Human-Agent ApplicationsLLM agents and tool use → Social simulation and multi-agent debate
- Base Models Beat Aligned Models at Randomness and CreativityLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ReVision: Refining Video Diffusion with Explicit 3D Motion ModelingDiffusion models → 3D, point cloud and scene generation
- Early Exit and Multi Stage Knowledge Distillation in VLMs for Video SummarizationMultimodal LLMs / vision-language models → Video understanding with MLLMs +2
- DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionLLM reasoning → Mathematical reasoning
- SWE-smith: Scaling Data for Software Engineering AgentsLLM agents and tool use → Software engineering coding agents
- Reconciling Discrete-Time Mixed Policies and Continuous-Time Relaxed Controls in Reinforcement Learning and Stochastic ControlDeep reinforcement learning methods → RL theory and sample complexity
- WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityLLM reasoning → Knowledge- and tool-augmented reasoning
- MAC-Tuning: LLM Multi-Compositional Problem Reasoning with Enhanced Knowledge Boundary AwarenessLLM reasoning → Test-time compute and efficient thinking
- LLM-based Interactive Imitation Learning for Robotic ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Improving Retrieval-Augmented Neural Machine Translation with Monolingual DataRetrieval-augmented generation → Generation and context integration
- Adaptive 3D UI Placement in Mixed Reality Using Deep Reinforcement LearningDeep reinforcement learning methods → RL with diffusion and flow models
- LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household RoboticsLLM agents and tool use → Multimodal and embodied agents
- Hoist with His Own Petard: Inducing Guardrails to Facilitate Denial-of-Service Attacks on Retrieval-Augmented Generation of LLMsRetrieval-augmented generation → Privacy and security of RAG +1
- Traceback of Poisoning Attacks to Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Ada-R1: Hybrid-CoT via Bi-Level Adaptive Reasoning OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
- HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene GenerationDiffusion models → 3D, point cloud and scene generation
- Designing Control Barrier Function via Probabilistic Enumeration for Safe Reinforcement Learning NavigationDeep reinforcement learning methods → Safe and constrained RL
- Multi-Goal Dexterous Hand Manipulation using Probabilistic Model-based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Iterative Tool Usage Exploration for Multimodal Agents via Step-wise Preference TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceDiffusion models → Audio, speech and music
- DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image RestorationDiffusion models → Inverse problems and image restoration
- CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- GarmentDiffusion: 3D Garment Sewing Pattern Generation with Multimodal Diffusion TransformersDiffusion models → 3D, point cloud and scene generation
- SimPRIVE: a Simulation framework for Physical Robot Interaction with Virtual EnvironmentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Multimodal Language Models See Better When They Look ShallowerMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SeriesBench: A Benchmark for Narrative-Driven Drama Series UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Diff-Prompt: Diffusion-Driven Prompt Generator with Mask SupervisionDiffusion models → Image generation, text-to-image and editing
- FAST-Q: Fast-track Exploration with Adversarially Balanced State Representations for Counterfactual Action Estimation in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
- Sparse-to-Sparse Training of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Vision-Language Model-Based Semantic-Guided Imaging Biomarker for Lung Nodule Malignancy PredictionMultimodal LLMs / vision-language models → Medical vision-language models
- Q-function Decomposition with Intervention Semantics with Factored Action SpacesDeep reinforcement learning methods → RL theory and sample complexity
- Text-Conditioned Diffusion Model for High-Fidelity Korean Font GenerationDiffusion models → Image generation, text-to-image and editing
- How to Backdoor Image Knowledge DistillationKnowledge distillation → Federated, robust and private distillation
- Phi-4-reasoning Technical ReportLLM reasoning → Reasoning benchmarks and evaluation
- Capturing Conditional Dependence via Auto-regressive Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- The Linear Geometry of Interpretable Tokens: Jailbreaking Attacks and Defenses for Unlearned Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play TeamingLLM agents and tool use → Web, search, and research agents
- BiasGuard: A Reasoning-enhanced Bias Detection Tool For Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Can We Achieve Efficient Diffusion without Self-Attention? Distilling Self-Attention into ConvolutionsDiffusion models → Video generation
- Mamba Based Feature Extraction And Adaptive Multilevel Feature Fusion For 3D Tumor Segmentation From Multi-modal Medical ImageState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent DiffusionDiffusion models → Video generation
- Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QARetrieval-augmented generation → Medical and biomedical RAG +1
- Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in MathLLM reasoning → Mathematical reasoning
- Evaluating Artificial Intelligence Algorithms for the Standardization of Transtibial Prosthetic Socket Shape Design
- A Novel Compound AI Model for 6G Networks in 3D Continuum
- Tuning Learning Rates with the Cumulative-Learning Constant
- Polysemy of Synthetic Neurons Towards a New Type of Explanatory Categorical Vector Spaces
- Akkumula: Evidence accumulation driver models with Spiking Neural Networks
- From Events to Enhancement: A Survey on Event-Based Imaging Technologies
- MatMMFuse: Multi-Modal Fusion model for Material Property Prediction
- ArrhythmiaVision: Resource-Conscious Deep Learning Models with Visual Explanations for ECG Arrhythmia Classification
- Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers
- A general physics-constrained method for the modelling of equation's closure terms with sparse data
- GPU Performance Portability needs Autotuning
- Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites
- Dragonfly: a modular deep reinforcement learning library
- MolMole: Molecule Mining from Scientific Literature
- PAPN: Proximity Attention Encoder and Pointer Network Decoder for Parcel Pickup Route Prediction
- Hierarchical Multi-Label Generation with Probabilistic Level-Constraint
- Advancing Seasonal Prediction of Tropical Cyclone Activity with a Hybrid AI-Physics Climate Model
- Sparsification Under Siege: Dual-Level Defense Against Poisoning in Communication-Efficient Federated Learning
- Safe and Efficient CAV Lane Changing using Decentralised Safety Shields
- Towards Film-Making Production Dialogue, Narration, Monologue Adaptive Moving Dubbing Benchmarks
- COSMOS: Predictable and Cost-Effective Adaptation of LLMs
- OpenAVS: Training-Free Open-Vocabulary Audio Visual Segmentation with Foundational Models
- Coral Protocol: Open Infrastructure Connecting The Internet of Agents
- Wireless Communication as an Information Sensor for Multi-agent Cooperative Perception: A Survey
- Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations
- DOPE: Dual Object Perception-Enhancement Network for Vision-and-Language Navigation
- Detection and Classification of Diseases in Multi-Crop Leaves using LSTM and CNN Models
- Fast2comm:Collaborative perception combined with prior knowledge
- MoSAM: Motion-Guided Segment Anything Model with Spatial-Temporal Memory Selection
- XeMap: Contextual Referring in Large-Scale Remote Sensing Environments
- A Survey on 3D Reconstruction Techniques in Plant Phenotyping: From Classical Methods to Neural Radiance Fields (NeRF), 3D Gaussian Splatting (3DGS), and Beyond
- AnimalMotionCLIP: Embedding motion in CLIP for Animal Behavior Analysis
All 269
- AI-Enhanced Automatic Design of Efficient Underwater Gliders
- Towards Robust and Generalizable Gerchberg Saxton based Physics Inspired Neural Networks for Computer Generated Holography: A Sensitivity Analysis Framework
- Online Federation For Mixtures of Proprietary Agents with Black-Box Encoders
- Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
- Direct Motion Models for Assessing Generated Videos
- RAIL in the Wild: Operationalizing Responsible AI Evaluation Using Anthropic's Value Dataset
- Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data
- Algorithmic Collective Action with Two Collectives
- IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
- Chronic Diseases Prediction using Machine Learning and Deep Learning Methods
- Neuroevolution of Self-Attention Over Proto-Objects
- Real-World Gaps in AI Governance Research
- First Order Logic with Fuzzy Semantics for Describing and Recognizing Nerves in Medical Images
- Attention-enabled Explainable AI for Bladder Cancer Recurrence Prediction
- GEOM-Drugs Revisited: Toward More Chemically Accurate Benchmarks for 3D Molecule Generation
- Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
- AdaptMI: Adaptive Skill-based In-context Math Instruction for Small Language Models
- Toward Practical Quantum Machine Learning: A Novel Hybrid Quantum LSTM for Fraud Detection
- GPRat: Gaussian Process Regression with Asynchronous Tasks
- Eye2Eye: A Simple Approach for Monocular-to-Stereo Video Synthesis
- Efficient and robust 3D blind harmonization for large domain gaps
- Kernel-Based Ensemble Gaussian Mixture Probability Hypothesis Density Filter
- Rootlets-based registration to the spinal cord PAM50 template
- Fine-Tuning LLMs for Low-Resource Dialect Translation: The Case of Lebanese
- On the expressivity of deep Heaviside networks
- From Lab to Wrist: Bridging Metabolic Monitoring and Consumer Wearables for Heart Rate and Oxygen Consumption Modeling
- A Scaffolded GenAI Lab in Early Undergraduate CS: A Mixed-Methods, Multi-Course Evaluation
- ConSens: Assessing context grounding in open-book question answering
- Enhancing Security and Strengthening Defenses in Automated Short-Answer Grading Systems
- Fact-Consistency Evaluation of Text-to-SQL Generation for Business Intelligence Using Exaone 3.5
- BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition
- A Report on the llms evaluating the high school questions
- Clustering Internet Memes Through Template Matching and Multi-Dimensional Similarity
- Emotional Analysis of Fashion Trends Using Social Media and AI: Sentiment Analysis on Twitter for Fashion Trend Forecasting
- SR-NeRV: Improving Embedding Efficiency of Neural Video Representation via Super-Resolution
- Learning to Borrow Features for Improved Detection of Small Objects in Single-Shot Detectors
- A Survey of Interactive Generative Video
- TRUST: An LLM-Based Dialogue System for Trauma Understanding and Structured Assessments
- Visual Compositional Tuning
- Public Opinion and The Rise of Digital Minds: Perceived Risk, Trust, and Regulation Support
- Characterizing AI Agents for Alignment and Governance
- Differentiable Room Acoustic Rendering with Multi-View Vision Priors
- Combating Falsification of Speech Videos with Live Optical Signatures (Extended Version)
- Scalable Multi-Task Learning for Particle Collision Event Reconstruction with Heterogeneous Graph Neural Networks
- 3D Stylization via Large Reconstruction Model
- Why Compress What You Can Generate? When GPT-4o Generation Ushers in Image Compression Fields
- A simple and effective approach for body part recognition on CT scans based on projection estimation
- Stable Trajectory Clustering: An Efficient Split and Merge Algorithm
- How Real Are Synthetic Therapy Conversations? Evaluating Fidelity in Prolonged Exposure Dialogues
- Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
- Anomaly-Driven Approach for Enhanced Prostate Cancer Segmentation
- Estimation of discrete distributions in relative entropy, and the deviations of the missing mass
- LoC-LIC: Low Complexity Learned Image Coding Using Hierarchical Feature Transforms
- Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning
- Is Intermediate Fusion All You Need for UAV-based Collaborative Perception?
- Solving Copyright Infringement on Short Video Platforms: Novel Datasets and an Audio Restoration Deep Learning Pipeline
- WASABI: A Metric for Evaluating Morphometric Plausibility of Synthetic Brain MRIs
- CodeFlowBench: A Multi-turn, Iterative Benchmark for Complex Code Generation
- Common3D: Self-Supervised Learning of 3D Morphable Models for Common Objects in Neural Feature Space
- Investigating Literary Motifs in Ancient and Medieval Novels with Large Language Models
- Cert-SSBD: Certified Backdoor Defense with Sample-Specific Smoothing Noises
- Sionna RT: Technical Report
- VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction
- Recursive KL Divergence Optimization: A Dynamic Framework for Representation Learning
- Vision Transformers in Precision Agriculture: A Comprehensive Survey
- XBreaking: Understanding how LLMs security alignment can be broken
- REHEARSE-3D: A Multi-modal Emulated Rain Dataset for 3D Point Cloud De-raining
- Self-Supervised Monocular Visual Drone Model Identification through Improved Occlusion Handling
- Automatic Mapping of AutomationML Files to Ontologies for Graph Queries and Validation
- Enhancing Self-Supervised Fine-Grained Video Object Tracking with Dynamic Memory Prediction
- Assessing Racial Disparities in Healthcare Expenditures via Mediator Distribution Shifts
- Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
- Extension-ranking Semantics for Abstract Argumentation Preprint
- Visual Text Processing: A Comprehensive Review and Unified Evaluation
- Investigating the Effect of Parallel Data in the Cross-Lingual Transfer for Vision-Language Encoders
- 20min-XD: A Comparable Corpus of Swiss News Articles
- On Advancements of the Forward-Forward Algorithm
- The dynamic generalized covariance measure for conditional independence testing with nonstationary time series
- Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
- Sadeed: Advancing Arabic Diacritization Through Small Language Model
- Quantitative Auditing of AI Fairness with Differentially Private Synthetic Data
- Meeseeks: A Feedback-Driven, Iterative Self-Correction Benchmark evaluating LLMs' Instruction Following Capability
- Mcity Data Engine: Iterative Model Improvement Through Open-Vocabulary Data Selection
- RDF-Based Structured Quality Assessment Representation of Multilingual LLM Evaluations
- Robust Misinformation Detection by Visiting Potential Commonsense Conflict
- Real Time Semantic Segmentation of High Resolution Automotive LiDAR Scans
- Cascade Detector Analysis and Application to Biomedical Microscopy
- Leveraging Pre-trained Large Language Models with Refined Prompting for Online Task and Motion Planning
- DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing
- One Net to Rule Them All: Domain Randomization in Quadcopter Racing Across Different Platforms
- MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
- Glucagon and insulin production in pancreatic cells modeled using Petri nets and Boolean networks
- A Study on Group Decision Making Problem Based on Fuzzy Reasoning and Bayesian Networks
- Towards proactive self-adaptive AI for non-stationary environments with dataset shifts
- eNCApsulate: NCA for Precision Diagnosis on Capsule Endoscopes
- Precision Where It Matters: A Novel Spike Aware Mixed-Precision Quantization Strategy for LLaMA-based Language Models
- TartuNLP at SemEval-2025 Task 5: Subject Tagging as Two-Stage Information Retrieval
- Meta knowledge assisted Evolutionary Neural Architecture Search
- SAM4EM: Efficient memory-based two stage prompt-free segment anything model adapter for complex 3D neuroscience electron microscopy stacks
- Improving Informally Romanized Language Identification
- RoboGround: Robotic Manipulation with Grounded Vision-Language Priors
- Low-rank computation of the posterior mean in Multi-Output Gaussian Processes
- Deep Learning Optimization Using Self-Adaptive Weighted Auxiliary Variables
- Consistency-aware Fake Videos Detection on Short Video Platforms
- ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery
- TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS
- A Comprehensive Study of Exploitable Patterns in Smart Contracts: From Vulnerability to Defense
- Advancing Arabic Reverse Dictionary Systems: A Transformer-Based Approach with Dataset Construction Guidelines
- Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging
- Robust Orthogonal NMF with Label Propagation for Image Clustering
- Quaternion Nuclear Norms Over Frobenius Norms Minimization for Robust Matrix Completion
- Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space
- VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification
- RWKV-X: A Linear Complexity Hybrid Language Model
- xEEGNet: Towards Explainable AI in EEG Dementia Classification
- Simulation of Multivariate Extremes: a Wasserstein-Aitchison GAN approach
- Whispers of Data: Unveiling Label Distributions in Federated Learning Through Virtual Client Simulation
- NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence
- UAV-VLN: End-to-End Vision Language guided Navigation for UAVs
- UAV Marketplace Simulation Tool for BVLOS Operations
- MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers
- The Distribution of Dependency Distance and Hierarchical Distance in Contemporary Written Japanese and Its Influencing Factors
- Kernel Density Machines
- Optimizing Mouse Dynamics for User Authentication by Machine Learning: Addressing Data Sufficiency, Accuracy-Practicality Trade-off, and Model Performance Challenges
- Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
- An Inversion Theorem for Buffered Linear Toeplitz (BLT) Matrices and Applications to Streaming Differential Privacy
- Galvatron: An Automatic Distributed System for Efficient Foundation Model Training
- Static or Dynamic: Towards Query-Adaptive Token Selection for Video Question Answering
- Who Gets the Callback? Generative AI and Gender Bias
- Enhanced semi-supervised stamping process monitoring with physically-informed feature extraction
- Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain
- Physics-Guided Image Dehazing Diffusion
- Synergy-CLIP: Extending CLIP with Multi-modal Integration for Robust Representation Learning
- Retrieval-Enhanced Few-Shot Prompting for Speech Event Extraction
- Revisiting Diffusion Autoencoder Training for Image Reconstruction Quality
- DGFNet: End-to-End Audio-Visual Source Separation Based on Dynamic Gating Fusion
- A comparative study of deep learning and ensemble learning to extend the horizon of traffic forecasting
- Nexus-Gen: Unified Image Understanding, Generation, and Editing via Prefilled Autoregression in Shared Embedding Space
- Generative QoE Modeling: A Lightweight Approach for Telecom Networks
- IRL Dittos: Embodied Multimodal AI Agent Interactions in Open Spaces
- Towards Improved Cervical Cancer Screening: Vision Transformer-Based Classification and Interpretability
- A Memetic Algorithm based on Variational Autoencoder for Black-Box Discrete Optimization with Epistasis among Parameters
- UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
- Simple Visual Artifact Detection in Sora-Generated Videos
- Towards Space Group Determination from EBSD Patterns: The Role of Deep Learning and High-throughput Dynamical Simulations
- Does the Prompt-based Large Language Model Recognize Students' Demographics and Introduce Bias in Essay Scoring?
- Multi-level datasets training method in Physics-Informed Neural Networks
- A Generalized Meta Federated Learning Framework with Theoretical Convergence Guarantees
- Redundancy Analysis and Mitigation for Machine Learning-Based Process Monitoring of Additive Manufacturing
- An Evaluation of a Visual Question Answering Strategy for Zero-shot Facial Expression Recognition in Still Images
- AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Images
- Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges
- CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo Matching
- Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making
- Fairness in Augmented Graph Learning: A Survey
- Learning Multi-view Multi-class Anomaly Detection
- Orthogonal Factor-Based Biclustering Algorithm (BCBOF) for High-Dimensional Data and Its Application in Stock Trend Prediction
- Assessing LLM code generation quality through path planning tasks
- Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context Learning
- Multi-Domain Causal Discovery in Bijective Causal Models
- Power Flow Approximations for Multiphase Distribution Networks using Gaussian Processes
- STRATA: A Name-and-Geography Race Inference Model for Fair Lending and Housing Equity Applications
- ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
- Multi-modal Transfer Learning for Dynamic Facial Emotion Recognition in the Wild
- Subject Information Extraction for Novelty Detection with Domain Shifts
- Operator learning for energy-efficient building ventilation control with computational fluid dynamics simulation of a real-world classroom
- Passive Measurement of Autonomic Arousal in Real-World Settings
- Memorization and Knowledge Injection in Gated LLMs
- Efficient Quantum-Safe Homomorphic Encryption for Quantum Computer Programs