Papers
Wed 23 Oct 2024
283 papers
- Adaptive Segment-level Reward: Bridging the Gap Between Action and Reward Space in AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Fast Inference for Augmented Large Language ModelsEfficient LLM inference and serving → Serving systems and request scheduling
- Multi-Draft Speculative Sampling: Canonical Decomposition and Theoretical LimitsEfficient LLM inference and serving → Speculative decoding
- Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning AttacksLLM safety and security → Safety alignment, refusal and guardrails
- DynamicCity: Large-Scale 4D Occupancy Generation from Dynamic ScenesWorld models → World models for autonomous driving
- Prioritized Generative ReplayDeep reinforcement learning methods → Deep RL algorithms and representations
- WorldSimBench: Towards Video Generation Models as World SimulatorsWorld models → Video-generation world models and simulators
- TP-Eval: Tap Multimodal LLMs' Potential in Evaluation by Customizing PromptsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Training Free Guided Flow Matching with Optimal ControlDiffusion models → Flow matching, time series and science
- SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning +1
- CLEAR: Character Unlearning in Textual and Visual ModalitiesLLM safety and security → Machine unlearning
- LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
- MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuningMixture-of-experts → Mixture of LoRA experts
- GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent CollaborationLLM agents and tool use → Web, search, and research agents
- Cross-lingual Transfer of Reward Models in Multilingual AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Scalable Ranked Preference Optimization for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and ValidationLLM reasoning → Reasoning benchmarks and evaluation
- Dynamic Spectrum Access for Ambient Backscatter Communication-assisted D2D Systems with Quantum Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- A Wavelet Diffusion GAN for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- ExpertFlow: Efficient Mixture-of-Experts Inference via Predictive Expert Caching and Token SchedulingMixture-of-experts → Efficient MoE training and inference systems
- SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized DomainsRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
- Benchmarking Floworks against OpenAI & Anthropic: A Novel Framework for Enhanced LLM Function CallingLLM agents and tool use → Tool learning and function calling
- Dynamic Guided and Domain Applicable Safeguards for Enhanced Security in Large Language ModelsLLM safety and security → Jailbreaking
- Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic ModularityDeep reinforcement learning methods → Deep RL algorithms and representations
- Scalable Offline Reinforcement Learning for Mean Field GamesOffline RL and imitation learning from data → Offline RL algorithms
- Value Residual LearningEfficient LLM inference and serving → KV cache optimization
- Scaling Diffusion Language Models via Adaptation from Autoregressive ModelsDiffusion models → Discrete and text diffusion
- Theorem-Validated Reverse Chain-of-Thought Problem Generation for Geometric ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Understanding Layer Significance in LLM AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context PromptingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean SpeechDiffusion models → Audio, speech and music
- RE-tune: Incremental Fine Tuning of Biomedical Vision-Language Models for Multi-label Chest X-ray ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- Understanding When Tree of Thoughts Succeeds: Larger Models Excel in Generation, Not DiscriminationLLM reasoning → Test-time compute and efficient thinking
- PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer SegmentationDiffusion models → Medical imaging and segmentation
- An Intelligent Agentic System for Complex Image Restoration ProblemsLLM agents and tool use → Multimodal and embodied agents
- Leveraging the Domain Adaptation of Retrieval Augmented Generation Models for Question Answering and Reducing HallucinationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- AdaDiffSR: Adaptive Region-aware Dynamic Acceleration Diffusion Model for Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- Learning Versatile Skills with Curriculum MaskingOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision ProcessesDeep reinforcement learning methods → RL for energy, networks and operations
- An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A PlatformsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical AgentsLLM agents and tool use → Medical and scientific domain agents
- Entity-based Reinforcement Learning for Autonomous Cyber DefenceDeep reinforcement learning methods → Adversarial robustness and RL in finance
- MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Markov Chain of Thought for Efficient Mathematical ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Graphusion: A RAG Framework for Knowledge Graph Construction with a Global PerspectiveRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- How to Continually Adapt Text-to-Image Diffusion Models for Flexible Customization?Diffusion models → Image generation, text-to-image and editing
- MM-Eval: A Multilingual Meta-Evaluation Benchmark for LLM-as-a-Judge and Reward ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Securing Federated Learning against Backdoor Threats with Foundation Model IntegrationLLM safety and security → Federated unlearning and poisoning
- Differentially Private Learning Needs Better Model Initialization and Self-DistillationKnowledge distillation → Federated, robust and private distillation
- CLR-Bench: Evaluating Large Language Models in College-level ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Multimodal Information Bottleneck for Deep Reinforcement Learning with Multiple SensorsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Primal-Dual Spectral Representation for Off-policy EvaluationDeep reinforcement learning methods → RL theory and sample complexity
- GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion ModelsDiffusion models → Flow matching, time series and science
- Diffusion Priors for Variational Likelihood Estimation and Image DenoisingDiffusion models → Inverse problems and image restoration
- MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device ControlLLM agents and tool use → GUI and mobile agents
- The Hive Mind is a Single Reinforcement Learning AgentDeep reinforcement learning methods → RL for games and combinatorial optimization
- WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language ModelsLLM safety and security → Machine unlearning
- X-MOBILITY: End-To-End Generalizable Navigation via World ModelingWorld models → World models for navigation
- GenDP: 3D Semantic Fields for Category-Level Generalizable Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
- Neuropsychology and Explainability of AI: A Distributional Approach to the Relationship Between Activation Similarity of Neural Categories in Synthetic Cognition
- Reservoir computing for system identification and predictive control with limited data
- Fast and interpretable electricity consumption scenario generation for individual consumers
- Enhancing literature review with LLM and NLP methods. Algorithmic trading case
- Enhancement of Approximation Spaces by the Use of Primals and Neighborhood
- Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
- Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
- Hypergraph Neural Networks Reveal Spatial Domains from Single-cell Transcriptomics Data
- Simultaneous Dimensionality Reduction for Extracting Useful Representations of Large Empirical Multimodal Datasets
- Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models
- Breaking the Illusion: Real-world Challenges for Adversarial Patches in Object Detection
- Real-Time Weapon Detection Using YOLOv8 for Enhanced Safety
- Uncovering the Genetic Basis of Glioblastoma Heterogeneity through Multimodal Analysis of Whole Slide Images and RNA Sequencing Data
- Measuring individual semantic networks: A simulation study
- AVHBench: A Cross-Modal Hallucination Benchmark for Audio-Visual Large Language Models
- Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation
- Focal Calibration Loss: Controlling Posterior Distortion in Deep Neural Classifiers
- Self-Supervised Learning for Time Series: A Review & Critique of FITS
- Countering Autonomous Cyber Threats
- CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation
- Robust and Explainable Depression Identification from Speech Using Vowel-Based Ensemble Learning Approaches
- Kenyan Sign Language (KSL) Dataset: Using Artificial Intelligence (AI) in Bridging Communication Barrier among the Deaf Learners
- NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
- 1-2-3-Go! Policy Synthesis for Parameterized Markov Decision Processes via Decision-Tree Learning and Generalization
- LEGO: Language Model Building Blocks
- Augmenting Training Data with Vector-Quantized Variational Autoencoder for Classifying RF Signals
- KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
- Screw Geometry Meets Bandits: Incremental Acquisition of Demonstrations to Generate Manipulation Plans
- Multilingual Hallucination Gaps in Large Language Models
- Stabilizing black-box model selection with the inflated argmax
- Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
- Hamiltonian Matching for Symplectic Neural Integrators
- Predicting total time to compress a video corpus using online inference systems
- Human-Agent Coordination in Games under Incomplete Information via Multi-Step Intent
- Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers
- DualSwinUnet++: An Enhanced Swin-Unet Architecture With Dual Decoders For PTMC Segmentation
- CARLA2Real: a tool for reducing the sim2real appearance gap in CARLA simulator
- Bayesian optimization for robust robotic grasping using a sensorized compliant hand
- Assessment of Developmental Dysgraphia Utilising a Display Tablet
- MsMorph: An Unsupervised pyramid learning network for brain image registration
All 283
- Generalizations across filler-gap dependencies in neural language models
- Data Augmentation for Automated Adaptive Rodent Training
- Optimizing the role of human evaluation in LLM-based spoken document summarization systems
- Neural Cover Selection for Image Steganography
- Advancing NLP Security by Leveraging LLMs as Adversarial Engines
- CorrectionLM: Self-Corrections with SLM for Dialogue State Tracking
- Automated Defect Detection and Grading of Piarom Dates Using Deep Learning
- Vocal Melody Construction for Persian Lyrics Using LSTM Recurrent Neural Networks
- PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control
- Rethinking Positive Pairs in Contrastive Learning
- Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
- ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
- TabDPT: Scaling Tabular Foundation Models on Real Data
- Gazelle: An Instruction Dataset for Arabic Writing Assistance
- Stochastic gradient descent in high dimensions for multi-spiked tensor PCA
- Bridging the Diagnostic Divide: Classical Computer Vision and Advanced AI methods for distinguishing ITB and CD through CTE Scans
- Future Token Prediction -- Causal Language Modelling with Per-Token Semantic State Vector for Multi-Token Prediction
- Dreaming Learning
- Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
- Music102: An D12-equivariant transformer for chord progression accompaniment
- Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reduction
- FIPER: Factorized Features for Robust Image Super-Resolution and Compression
- FreeVS: Generative View Synthesis on Free Driving Trajectory
- ALTA: Compiler-Based Analysis of Transformers
- Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration
- ProFL: Performative Robust Optimal Federated Learning
- UnCLe: Benchmarking Unsupervised Continual Learning for Depth Completion
- Beyond Position: the emergence of wavelet-like properties in Transformers
- The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
- Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain
- In-Pixel Foreground and Contrast Enhancement Circuits with Customizable Mapping
- Real time anomalies detection on video
- Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases
- POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference
- Inferring stability properties of chaotic systems on autoencoders' latent spaces
- Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
- Characterization of the multiplicity of solutions for camera pose given two vertically-aligned landmarks and accelerometer
- AI driven health recommender
- Semantic Segmentation and Scene Reconstruction of RGB-D Image Frames: An End-to-End Modular Pipeline for Robotic Applications
- Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
- Robust Two-View Geometry Estimation with Implicit Differentiation
- Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study
- metasnf: Meta Clustering with Similarity Network Fusion in R
- Together We Can: Multilingual Automatic Post-Editing for Low-Resource Languages
- Dependency Graph Parsing as Sequence Labeling
- Optical Generative Models
- POMDP-Driven Cognitive Massive MIMO Radar: Joint Target Detection-Tracking In Unknown Disturbances
- A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024
- Closed-form merging of parameter-efficient modules for Federated Continual Learning
- Zeitenwenden: Detecting changes in the German political discourse
- Medical Imaging Complexity and its Effects on GAN Performance
- MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
- Generalized Resubstitution for Regression Error Estimation
- Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
- Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainability
- Spiking Graph Neural Network on Riemannian Manifolds
- Semi-Implicit Functional Gradient Flow for Efficient Sampling
- Retrieving snow depth distribution by downscaling ERA5 Reanalysis with ICESat-2 laser altimetry
- Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
- VR-Splatting: Foveated Radiance Field Rendering via 3D Gaussian Splatting and Neural Points
- Gaze-Assisted Medical Image Segmentation
- Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
- regAL: Python Package for Active Learning of Regression Problems
- Deep learning for model correction of dynamical systems with data scarcity
- Leveraging Deep Learning for Time Series Extrinsic Regression in predicting photometric metallicity of Fundamental-mode RR Lyrae Stars
- ELAICHI: Enhancing Low-resource TTS by Addressing Infrequent and Low-frequency Character Bigrams
- SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments
- Lightweight Neural App Control
- Identifiable Representation and Model Learning for Latent Dynamic Systems
- AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
- A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam
- Relaxed Equivariance via Multitask Learning
- Population stratification for prediction of mortality in post-AKI patients
- CASCRNet: An Atrous Spatial Pyramid Pooling and Shared Channel Residual based Network for Capsule Endoscopy
- DataTales: A Benchmark for Real-World Intelligent Data Narration
- Blendify -- Python rendering framework for Blender
- TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation
- The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification
- Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs
- Few-shot NeRF by Adaptive Rendering Loss Regularization
- Optimal Streaming Algorithms for Multi-Armed Bandits
- Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
- Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds
- DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection
- Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers
- Learning Lossless Compression for High Bit-Depth Volumetric Medical Image
- EntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning
- GenUDC: High Quality 3D Mesh Generation with Unsigned Dual Contouring Representation
- OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation
- A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
- Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
- Large Language Models Engineer Too Many Simple Features For Tabular Data
- TranSPORTmer: A Holistic Approach to Trajectory Understanding in Multi-Agent Sports
- Holon Programming Model -- A Software-Defined Approach for System of Systems
- Evaluating Explanations Through LLMs: Beyond Traditional User Studies
- ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning
- Quasi-Medial Distance Field (Q-MDF): A Robust Method for Approximating and Discretizing Neural Medial Axes
- Scaling Robot Policy Learning via Zero-Shot Labeling with Foundation Models
- Small Singular Values Matter: A Random Matrix Analysis of Transformer Models
- Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
- Beyond Backpropagation: Optimization with Multi-Tangent Forward Gradients
- Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
- Topology meets Machine Learning: An Introduction using the Euler Characteristic Transform
- Latent Structures of Intertextuality in French Fiction
- A Neural Network Alternative to Tree-based Models
- VISAGE: Video Synthesis using Action Graphs for Surgery
- Can Uncertainty Quantification Improve Learned Index Benefit Estimation?
- Efficient Neural Implicit Representation for 3D Human Reconstruction
- Emotion Recognition with Facial Attention and Objective Activation Functions
- Local Contrastive Editing of Gender Stereotypes
- MojoBench: Language Modeling and Benchmarks for Mojo
- New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture
- YOLO-Vehicle-Pro: A Cloud-Edge Collaborative Framework for Object Detection in Autonomous Driving under Adverse Weather Conditions
- FuzzWiz -- Fuzzing Framework for Efficient Hardware Coverage
- Dialectal and Low-Resource Machine Translation for Aromanian
- YOLOv11: An Overview of the Key Architectural Enhancements
- Continual Learning on a Data Diet
- CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
- A Data-Driven Odyssey in Solar Vehicles
- Beware of Calibration Data for Pruning Large Language Models
- Scalable Random Feature Latent Variable Models
- Longitudinal Causal Image Synthesis
- Towards a Similarity-adjusted Surprisal Theory
- Quantifying the Risks of Tool-assisted Rephrasing to Linguistic Diversity
- Deep Generative Models for 3D Medical Image Synthesis
- PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context
- AutoRNet: Automatically Optimizing Heuristics for Robust Network Design via Large Language Models
- Mapping the Media Landscape: Predicting Factual Reporting and Political Bias Through Web Interactions
- Towards Active Participant Centric Vertical Federated Learning: Some Representations May Be All You Need
- Surgical Scene Segmentation by Transformer With Asymmetric Feature Enhancement
- LMLPA: Language Model Linguistic Personality Assessment
- Exploring structure diversity in atomic resolution microscopy with graph neural networks
- Graph Signal Adaptive Message Passing
- Is Smoothness the Key to Robustness? A Comparison of Attention and Convolution Models Using a Novel Metric
- Incremental Learning of Affordances using Markov Logic Networks
- Bridging the Gaps: Utilizing Unlabeled Face Recognition Datasets to Boost Semi-Supervised Facial Expression Recognition
- Process Supervision-Guided Policy Optimization for Code Generation
- From PDFs to Structured Data: Utilizing LLM Analysis in Sports Database Management
- Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
- ImDy: Human Inverse Dynamics from Imitated Observations
- Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation
- Ranking of Multi-Response Experiment Treatments
- Integrating Large Language Models for UAV Control in Simulated Environments: A Modular Interaction Approach
- Cross-model Control: Improving Multiple Large Language Models in One-time Training
- PlantCamo: Plant Camouflage Detection
- A Kernel Perspective on Distillation-based Collaborative Learning
- Challenge on Sound Scene Synthesis: Evaluating Text-to-Audio Generation
- Predicting Company Growth using Scaling Theory informed Machine Learning
- Exploring Tokenization Methods for Multitrack Sheet Music Generation
- Bonsai: Gradient-free Graph Condensation for Node Classification
- Real-time Vehicle-to-Vehicle Communication Based Network Cooperative Control System through Distributed Database and Multimodal Perception: Demonstrated in Crossroads
- Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data
- Double Banking on Knowledge: Customized Modulation and Prototypes for Multi-Modality Semi-supervised Medical Image Segmentation
- DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
- BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images
- FairDgcl: Fairness-aware Recommendation with Dynamic Graph Contrastive Learning
- LEADS: Lightweight Embedded Assisted Driving System
- Robust and Minimally Invasive Watermarking for EaaS
- Advancing Interpretability in Text Classification through Prototype Learning
- Predicting 30-Day Hospital Readmission in Medicare Patients: Insights from an LSTM Deep Learning Model
- Unsupervised Low-dose CT Reconstruction with One-way Conditional Normalizing Flows
- OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
- Responsible Multilingual Large Language Models: A Survey of Development, Applications, and Societal Impact
- Navigate Complex Physical Worlds via Geometrically Constrained LLM
- Large Language Models Still Exhibit Bias in Long Text
- Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing
- SRA: A Novel Method to Improve Feature Embedding in Self-supervised Learning for Histopathological Images
- HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models
- Time and Frequency Synergy for Source-Free Time-Series Domain Adaptations
- Congestion Forecast for Trains with Railroad-Graph-based Semi-Supervised Learning using Sparse Passenger Reports
- Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
- PLGS: Robust Panoptic Lifting with 3D Gaussian Splatting
- An Ontology-Enabled Approach For User-Centered and Knowledge-Enabled Explanations of AI Systems
- Bilateral Hippocampi Segmentation in Low Field MRIs Using Mutual Feature Learning via Dual-Views
- Learning Fair and Preferable Allocations through Neural Network
- Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks
- Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive Learning
- BadFair: Backdoored Fairness Attacks with Group-conditioned Triggers
- Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
- VoiceTextBlender: Augmenting Large Language Models with Speech Capabilities via Single-Stage Joint Speech-Text Supervised Fine-Tuning
- Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering
- Is artificial intelligence still intelligence? LLMs generalize to novel adjective-noun pairs, but don't mimic the full human distribution
- AI, Global Governance, and Digital Sovereignty