Papers
Tue 24 Sep 2024
313 papers
- Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent ThinkingLLM reasoning → Reasoning benchmarks and evaluation
- Neural Coordination and Capacity Control for Inventory ManagementDeep reinforcement learning methods → RL for energy, networks and operations
- RAGProbe: An Automated Approach for Evaluating RAG ApplicationsRetrieval-augmented generation → RAG pipeline design and evaluation
- LLM With Tools: A SurveyLLM agents and tool use → Tool learning and function calling
- A Unified Hallucination Mitigation Framework for Large Vision-Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Diffusion Models to Enhance the Resolution of Microscopy Images: A TutorialDiffusion models → Inverse problems and image restoration
- BehAV: Behavioral Rule Guided Autonomy Using VLMs for Robot Navigation in Outdoor ScenesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and VerificationLLM reasoning → Reasoning benchmarks and evaluation
- MultiTalk: Introspective and Extrospective Dialogue for Human-Environment-LLM AlignmentLLM reasoning → Spatial and embodied reasoning
- Active Perception with Initial-State Uncertainty: A Policy Gradient MethodDeep reinforcement learning methods → RL theory and sample complexity
- RISCORE: Enhancing In-Context Riddle Solving in Language Models through Context-Reconstructed Example AugmentationLLM reasoning → Reasoning benchmarks and evaluation
- Quality Matters: Evaluating Synthetic Data for Tool-Using LLMsLLM agents and tool use → Tool learning and function calling +1
- Adapting Vision-Language Model with Fine-grained Semantics for Open-Vocabulary SegmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CDChat: A Large Multimodal Model for Remote Sensing Change DescriptionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Critical Review of Safe Reinforcement Learning Techniques in Smart Grid ApplicationsDeep reinforcement learning methods → RL for energy, networks and operations
- MaskBit: Embedding-free Image Generation via Bit TokensDiffusion models → Diffusion foundations and sampling
- Context-Based Meta Reinforcement Learning for Robust and Adaptable Peg-in-Hole Assembly TasksDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Segmentation Strategies in Deep Learning for Prostate Cancer Diagnosis: A Comparative Study of Mamba, SAM, and YOLOState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Expert-level vision-language foundation model for real-world radiology and comprehensive evaluationMultimodal LLMs / vision-language models → Medical vision-language models
- EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkRetrieval-augmented generation → RAG robustness and adaptive retrieval
- HA-FGOVD: Highlighting Fine-grained Attributes via Explicit Linear Composition for Open-Vocabulary Object DetectionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- MOSS: Enabling Code-Driven Evolution and Context Management for AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object ScenariosMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Leveraging Mixture of Experts for Improved Speech Deepfake DetectionMixture-of-experts → Multimodal MoE models
- LTNtorch: PyTorch Implementation of Logic Tensor NetworksLLM reasoning → Reasoning benchmarks and evaluation
- Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of ExpertsMixture-of-experts → MoE for time series and graphs
- From Goal-Conditioned to Language-Conditioned Agents via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- PRESTO: Fast Motion Planning Using Diffusion Models Based on Key-Configuration Environment RepresentationDiffusion models → Diffusion and flow policies for robotics
- Adversarial Backdoor Defense in CLIPLLM safety and security → Backdoor and data poisoning attacks
- Provably Efficient Exploration in Inverse Constrained Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- ASD-Diffusion: Anomalous Sound Detection with Diffusion ModelsDiffusion models → Flow matching, time series and science
- DepMamba: Progressive Fusion Mamba for Multimodal Depression DetectionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Automated test generation to evaluate tool-augmented LLMs as conversational AI agentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- The Dark Side of Rich Rewards: Understanding and Mitigating Noise in VLM RewardsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLMMixture-of-experts → Multimodal MoE models
- Preference-Guided Refactored Tuning for Retrieval Augmented Code GenerationRetrieval-augmented generation → RAG for code
- Online Planning for Multi-UAV Pursuit-Evasion in Unknown Environments Using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- FSF-Net: Enhance 4D Occupancy Forecasting with Coarse BEV Scene Flow for Autonomous DrivingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and AgentsRetrieval-augmented generation → Medical and biomedical RAG +1
- AsthmaBot: Multi-modal, Multi-Lingual Retrieval Augmented Generation For Asthma Patient SupportRetrieval-augmented generation → Medical and biomedical RAG
- Aided design of bridge aesthetics based on Stable Diffusion fine-tuningDiffusion models → Image generation, text-to-image and editing
- CLSP: High-Fidelity Contrastive Language-State Pre-training for Agent State RepresentationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Training Data Attribution: Was Your Model Secretly Trained On Data Created By Mine?LLM safety and security → Watermarking generated content and models
- A Learning Framework for Diverse Legged Robot Locomotion Using Barrier-Based Style RewardsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation ScenariosRetrieval-augmented generation → RAG pipeline design and evaluation
- TFG: Unified Training-Free Guidance for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Stage-Wise Reward Shaping for Acrobatic Robots: A Constrained Multi-Objective Reinforcement Learning ApproachDeep reinforcement learning methods → Deep RL algorithms and representations
- Reinforcement Learning for Infinite-Dimensional SystemsDeep reinforcement learning methods → RL theory and sample complexity
- Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous DrivingWorld models → World models for autonomous driving +1
- Autonomous Wheel Loader Navigation Using Goal-Conditioned Actor-Critic MPCDeep reinforcement learning methods → RL for autonomous driving and traffic
- Agent-state based policies in POMDPs: Beyond belief-state MDPsDeep reinforcement learning methods → RL theory and sample complexity
- Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented GenerationRetrieval-augmented generation → Generation and context integration
- Toward Mixture-of-Experts Enabled Trustworthy Semantic Communication for 6G NetworksMixture-of-experts → Expert routing strategies
- Safe Navigation for Robotic Digestive Endoscopy via Human Intervention-based Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- Linear Contextual Bandits with InterferenceLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- M2PT: Multimodal Prompt Tuning for Zero-shot Instruction LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement LearningDeep reinforcement learning methods → RL for clinical treatment and surgery
- ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at ScaleLLM agents and tool use → Agent skill learning and evolution
- Personalized Federated Learning via Backbone Self-DistillationKnowledge distillation → Federated, robust and private distillation
- NavRL: Learning Safe Flight in Dynamic EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
- SpaRG: Sparsely Reconstructed Graphs for Generalizable fMRI Analysis
- Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals
- EEGUnity: Open-Source Tool in Facilitating Unified EEG Datasets Towards Large-Scale EEG Model
- Technical Report: Competition Solution For Modelscope-Sora
- Bipolar fuzzy relation equations systems based on the product t-norm
- Textless NLP -- Zero Resource Challenge with Low Resource Compute
- FLEX: Expert-level False-Less EXecution Metric for Reliable Text-to-SQL Benchmark
- Transfer learning for financial data predictions: a systematic review
- Center-fixing of tropical cyclones using uncertainty-aware deep learning applied to high-temporal-resolution geostationary satellite imagery
- Low Latency Point Cloud Rendering with Learned Splatting
- GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization
- Learning Linear Dynamics from Bilinear Observations
- Unsupervised Text Representation Learning via Instruction-Tuning for Zero-Shot Dense Retrieval
- Real-Time Detection of Electronic Components in Waste Printed Circuit Boards: A Transformer-Based Approach
- Flight: A FaaS-Based Framework for Complex and Hierarchical Federated Learning
- Proactive Schemes: A Survey of Adversarial Attacks for Social Good
- Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs
- To Explore the Potential Inhibitors against Multitarget Proteins of COVID 19 using In Silico Study
- Generative AI-driven forecasting of oil production
- Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences
- Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems
- Frequency-based View Selection in Gaussian Splatting Reconstruction
- Spelling Correction through Rewriting of Non-Autoregressive ASR Lattices
- Initialization of Monocular Visual Navigation for Autonomous Agents Using Modified Structure from Small Motion
- Communication and Energy Efficient Federated Learning using Zero-Order Optimization Technique
- FMDLlama: Financial Misinformation Detection based on Large Language Models
- A Multi-Agent Multi-Environment Mixed Q-Learning for Partially Decentralized Wireless Network Optimization
- Underground Mapping and Localization Based on Ground-Penetrating Radar
- Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain
- A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentation
- Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
- Hand Gesture Classification Based on Forearm Ultrasound Video Snippets Using 3D Convolutional Neural Networks
- A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
- Leveraging Local Structure for Improving Model Explanations: An Information Propagation Approach
- HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions
- Statistical tuning of artificial neural network
- Lessons for Editors of AI Incidents from the AI Incident Database
- Is All Learning (Natural) Gradient Descent?
All 313
- Task-oriented Prompt Enhancement via Script Generation
- Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity
- Improving Intersession Reproducibility for Forearm Ultrasound based Hand Gesture Classification through an Incremental Learning Approach
- Vision-based Xylem Wetness Classification in Stem Water Potential Determination
- Evaluating Blocking Biases in Entity Matching
- Modern Hopfield Networks meet Encoded Neural Representations -- Addressing Practical Considerations
- Towards Representation Learning for Weighting Problems in Design-Based Causal Inference
- Revisiting Acoustic Features for Robust ASR
- HELIOT: LLM-Based CDSS for Adverse Drug Reaction Management
- Rao-Blackwellized POMDP Planning
- Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
- Camera Calibration and Stereo via a Single Image of a Spherical Mirror
- Towards Synthetic Data Generation for Improved Pain Recognition in Videos under Patient Constraints
- Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds
- Development and Application of a Sentinel-2 Satellite Imagery Dataset for Deep-Learning Driven Forest Wildfire Detection
- Beyond Text-to-Text: An Overview of Multimodal and Generative Artificial Intelligence for Education Using Topic Modeling
- Do the Right Thing, Just Debias! Multi-Category Bias Mitigation Using LLMs
- Exact gradients for linear optics with single photons
- Scalable quantum dynamics compilation via quantum machine learning
- Transformer based time series prediction of the maximum power point for solar photovoltaic cells
- Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review
- Large-scale digital phenotyping: identifying depression and anxiety indicators in a general UK population with over 10,000 participants
- Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences
- Predicting Distance matrix with large language models
- Exploring the traditional NMT model and Large Language Model for chat translation
- Self-Supervised Any-Point Tracking by Contrastive Random Walks
- Articulated Object Manipulation using Online Axis Estimation with SAM2-Based Tracking
- Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation
- MonoFormer: One Transformer for Both Diffusion and Autoregression
- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results
- AIM 2024 Challenge on UHD Blind Photo Quality Assessment
- Learning To Help: Training Models to Assist Legacy Devices
- Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation
- A fast and sound tagging method for discontinuous named-entity recognition
- LLM Echo Chamber: personalized and automated disinformation
- Label-Augmented Dataset Distillation
- Efficiently Learning Probabilistic Logical Models by Cheaply Ranking Mined Rules
- EuroLLM: Multilingual Language Models for Europe
- Predicting Deterioration in Mild Cognitive Impairment with Survival Transformers, Extreme Gradient Boosting and Cox Proportional Hazard Modelling
- VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection
- Fine-Tuning is Fine, if Calibrated
- Towards Enhancing Linked Data Retrieval in Conversational UIs using Large Language Models
- Problem-oriented AutoML in Clustering
- TiROD: Tiny Robotics Dataset and Benchmark for Continual Object Detection
- Deep Learning for Precision Agriculture: Post-Spraying Evaluation and Deposition Estimation
- LLMCount: Enhancing Stationary mmWave Detection with Multimodal-LLM
- AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites
- Facial Expression-Enhanced TTS: Combining Face Representation and Emotion Intensity for Adaptive Speech
- CJEval: A Benchmark for Assessing Large Language Models Using Chinese Junior High School Exam Data
- Upper-body free-breathing Magnetic Resonance Fingerprinting applied to the quantification of water T1 and fat fraction
- Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking
- Second Order Bounds for Contextual Bandits with Function Approximation
- HelloBench: Evaluating Long Text Generation Capabilities of Large Language Models
- SDFit: 3D Object Pose and Shape by Fitting a Morphable SDF to a Single Image
- Cyber Knowledge Completion Using Large Language Models
- Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
- MIMO: Controllable Character Video Synthesis with Spatial Decomposed Modeling
- ComiCap: A VLMs pipeline for dense captioning of Comic Panels
- Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
- Seeing Faces in Things: A Model and Dataset for Pareidolia
- Evaluation of Speech Foundation Models for ASR on Child-Adult Conversations in Autism Diagnostic Sessions
- Implicit assessment of language learning during practice as accurate as explicit testing
- VisioPhysioENet: Visual Physiological Engagement Detection Network
- Analyzing Probabilistic Methods for Evaluating Agent Capabilities
- TabEBM: A Tabular Data Augmentation Method with Distinct Class-Specific Energy-Based Models
- Self-attention as an attractor network: transient memories without backpropagation
- CloudTrack: Scalable UAV Tracking with Cloud Semantics
- Scenario of Use Scheme: Threat Model Specification for Speaker Privacy Protection in the Medical Domain
- Neuromorphic Drone Detection: an Event-RGB Multimodal Approach
- The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
- Exploring Hint Generation Approaches in Open-Domain Question Answering
- From Pixels to Words: Leveraging Explainability in Face Recognition through Interactive Natural Language Processing
- Assessing Simplification Levels in Neural Networks: The Impact of Hyperparameter Configurations on Complexity and Sensitivity
- Multi-Model Ensemble Approach for Accurate Bi-Atrial Segmentation in LGE-MRI of Atrial Fibrillation Patients
- GS-Net: Global Self-Attention Guided CNN for Multi-Stage Glaucoma Classification
- Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition
- Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA
- OW-Rep: Open World Object Detection with Instance Representation Learning
- Learning with Confidence: Training Better Classifiers from Soft Labels
- Machine learning approaches for automatic defect detection in photovoltaic systems
- A decision-theoretic model for a principal-agent collaborative learning problem
- Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted Data
- Generative 3D Cardiac Shape Modelling for In-Silico Trials
- Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis
- Adversarial Watermarking for Face Recognition
- Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction
- Whole-body End-Effector Pose Tracking
- Enhanced Unsupervised Image-to-Image Translation Using Contrastive Learning and Histogram of Oriented Gradients
- Grounded Computation & Consciousness: A Framework for Exploring Consciousness in Machines & Other Organisms
- Deep chroma compression of tone-mapped images
- Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
- AI Can Be Cognitively Biased: An Exploratory Study on Threshold Priming in LLM-Based Batch Relevance Assessment
- VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images
- Robust Neural IDA-PBC: passivity-based stabilization under approximations
- Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs
- Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
- Artificial Human Intelligence: The role of Humans in the Development of Next Generation AI
- Improvements to SDXL in NovelAI Diffusion V3
- Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models
- Exploring the Impact of Outlier Variability on Anomaly Detection Evaluation Metrics
- DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL
- Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection
- Finetuning LLMs for Comparative Assessment Tasks
- TCSinger: Zero-Shot Singing Voice Synthesis with Style Transfer and Multi-Level Style Control
- Disentangling Age and Identity with a Mutual Information Minimization Approach for Cross-Age Speaker Verification
- Edge-device Collaborative Computing for Multi-view Classification
- Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations
- Semantics-Controlled Gaussian Splatting for Outdoor Scene Reconstruction and Rendering in Virtual Reality
- An ensemble framework approach of hybrid Quantum convolutional neural networks for classification of breast cancer images
- A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning
- Mind the Prompt: A Novel Benchmark for Prompt-based Class-Agnostic Counting
- TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting
- Tuning Into Bias: A Computational Study of Gender Bias in Song Lyrics
- A Formalization of Image Vectorization by Region Merging
- Self-supervised Shape Completion via Involution and Implicit Correspondences
- Numerical determination of the width and shape of the effective string using Stochastic Normalizing Flows
- SLIMER-IT: Zero-Shot NER on Italian Language
- Automatic Registration of SHG and H&E Images with Feature-based Initial Alignment and Intensity-based Instance Optimization: Contribution to the COMULIS Challenge
- Facing Asymmetry -- Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions
- Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
- A Deeper Look into Second-Order Feature Aggregation for LiDAR Place Recognition
- Deep convolutional framelets for dose reconstruction in BNCT with Compton camera detector
- Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
- Exploring the potential of collaborative UAV 3D mapping in Kenyan savanna for wildlife research
- Explaining word embeddings with perfect fidelity: Case study in research impact prediction
- A Modular-based Strategy for Mitigating Gradient Conflicts in Simultaneous Speech Translation
- Enhancing IoT based Plant Health Monitoring through Advanced Human Plant Interaction using Large Language Models and Mobile Applications
- Enhancing Text-to-SQL Capabilities of Large Language Models via Domain Database Knowledge Injection
- Unimotion: Unifying 3D Human Motion Synthesis and Understanding
- Five questions and answers about artificial intelligence
- Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering
- FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
- Unsupervised Attention Regularization Based Domain Adaptation for Oracle Character Recognition
- Symmetries and Expressive Requirements for Learning General Policies
- HLB: Benchmarking LLMs' Humanlikeness in Language Use
- CAD: Memory Efficient Convolutional Adapter for Segment Anything
- Investigating Gender Bias in Lymph-node Segmentation with Anatomical Priors
- Self-Supervised Graph Embedding Clustering
- On the calibration of powerset speaker diarization models
- Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning
- Exploring VQ-VAE with Prosody Parameters for Speaker Anonymization
- Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
- Zero-Shot Detection of AI-Generated Images
- Whisper in Medusa's Ear: Multi-head Efficient Decoding for Transformer-based ASR
- Privacy Evaluation Benchmarks for NLP Models
- In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding
- BeSimulator: A Large Language Model Powered Text-based Behavior Simulator
- A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding
- Identification For Control Based on Neural Networks: Approximately Linearizable Models
- iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification
- Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification
- Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection
- From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant
- TiltXter: CNN-based Electro-tactile Rendering of Tilt Angle for Telemanipulation of Pasteur Pipettes
- Deep Learning Techniques for Automatic Lateral X-ray Cephalometric Landmark Detection: Is the Problem Solved?
- Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training
- Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model Interpretability
- 60 Data Points are Sufficient to Fine-Tune LLMs for Question-Answering
- Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns
- Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
- Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
- Hyperbolic Image-and-Pointcloud Contrastive Learning for 3D Classification
- A Computer Vision Approach for Autonomous Cars to Drive Safe at Construction Zone
- NER-Luxury: Named entity recognition for the fashion and luxury domain
- 3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning
- A Multi-Level Approach for Class Imbalance Problem in Federated Learning for Remote Industry 4.0 Applications
- DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation
- Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting
- Small Language Models: Survey, Measurements, and Insights
- Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers
- Zero-shot forecasting of chaotic systems
- CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
- Spatial-Temporal Mixture-of-Graph-Experts for Multi-Type Crime Prediction
- XTRUST: On the Multilingual Trustworthiness of Large Language Models
- Development and Validation of Heparin Dosing Policies Using an Offline Reinforcement Learning Algorithm
- The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
- Automated Assessment of Multimodal Answer Sheets in the STEM domain
- Training Neural Networks for Modularity aids Interpretability
- ManiNeg: Manifestation-guided Multimodal Pretraining for Mammography Classification
- ViKL: A Mammography Interpretation Framework via Multimodal Aggregation of Visual-knowledge-linguistic Features
- Real-Time Pedestrian Detection on IoT Edge Devices: A Lightweight Deep Learning Approach
- Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
- Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models
- EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
- Hypothesis Clustering and Merging: Novel MultiTalker Speech Recognition with Speaker Tokens
- Sequential Learning in the Dense Associative Memory
- LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation
- LLM-Cure: LLM-based Competitor User Review Analysis for Feature Enhancement
- Federated Large Language Models: Current Progress and Future Directions
- Applying Incremental Learning in Binary-Addition-Tree Algorithm for Dynamic Binary-State Network Reliability
- Disentangled Generation and Aggregation for Robust Radiance Fields
- Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
- Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer
- Improving Emotional Support Delivery in Text-Based Community Safety Reporting Using Large Language Models
- Making Text Embedders Few-Shot Learners
- GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs
- dnaGrinder: a lightweight and high-capacity genomic foundation model
- A Survey of Stance Detection on Social Media: New Directions and Perspectives
- Plenoptic PNG: Real-Time Neural Radiance Fields in 150 KB
- A Comprehensive Evaluation of Large Language Models on Mental Illnesses
- Distributed Online Bandit Nonconvex Optimization with One-Point Residual Feedback via Dynamic Regret
- PDT: Uav Target Detection Dataset for Pests and Diseases Tree
- The Northeast Materials Database for Magnetic Materials
- Language-based Audio Moment Retrieval
- Autonomous Hiking Trail Navigation via Semantic Segmentation and Geometric Analysis
- Mitigating Semantic Leakage in Cross-lingual Embeddings via Orthogonality Constraint
- Double-Path Adaptive-correlation Spatial-Temporal Inverted Transformer for Stock Time Series Forecasting
- Long-horizon Embodied Planning with Implicit Logical Inference and Hallucination Mitigation
- English offensive text detection using CNN based Bi-GRU model
- Looped Transformers for Length Generalization
- Quantum Machine Learning in Drug Discovery: Applications in Academia and Pharmaceutical Industries
- Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
- Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling