Papers
Thu 3 Apr 2025
313 papers
- Pel, A Programming Language for Orchestrating AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and RobustnessMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Reward Generation via Large Vision-Language Model in Offline Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
- Robust Reinforcement Learning from Human Feedback for Large Language Models Fine-TuningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware SchedulingEfficient LLM inference and serving → Serving systems and request scheduling
- JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated RewardsDeep reinforcement learning methods → Safe and constrained RL
- Low Rank Factorizations are Indirect Encodings for Deep NeuroevolutionDeep reinforcement learning methods → Deep RL algorithms and representations
- Deep Reinforcement Learning via Object-Centric AttentionDeep reinforcement learning methods → Deep RL algorithms and representations
- Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and HarmonizationDiffusion models → 3D, point cloud and scene generation
- Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation PatchingMechanistic interpretability → Steering and interpreting LLM reasoning
- QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document UnderstandingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Understanding Aha Moments: from External Observations to Internal MechanismsLLM reasoning → Test-time compute and efficient thinking
- HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache ReuseRetrieval-augmented generation → Generation and context integration +1
- Evaluating Newtonian Mechanics in Video Generative Models with Real Physical SystemsWorld models → Latent predictive world models
- Boosting Chart-to-Code Generation in MLLM via Dual Preference-Guided RefinementMultimodal LLMs / vision-language models → Chart understanding and anomaly detection +1
- Beyond Accuracy: The Role of Calibration in Self-Improving Large Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training
- Concept Lancet: Image Editing with Compositional Representation TransplantDiffusion models → Image generation, text-to-image and editing
- STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security InspectionMultimodal LLMs / vision-language models → Medical vision-language models
- Sparse Autoencoders Learn Monosemantic Features in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Generative Evaluation of Complex Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- MegaMath: Pushing the Limits of Open Math CorporaLLM reasoning → Mathematical reasoning
- F-ViTA: Foundation Model Guided Visible to Thermal TranslationDiffusion models → Image generation, text-to-image and editing
- Survey and Experiments on Mental Disorder Detection via Social Media: From Large Language Models and RAG to AgentsLLM agents and tool use → Medical and scientific domain agents
- Systematic Evaluation of Large Vision-Language Models for Surgical Artificial IntelligenceMultimodal LLMs / vision-language models → Medical vision-language models
- Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic DatasetsWorld models → Embodied and robot world models +1
- Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion ProjectionDiffusion models → 3D, point cloud and scene generation
- SAFER: Advancing Safety Alignment via Efficient Ex-Ante ReasoningLLM reasoning → Reasoning for agents, planning and code +2
- The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual contextLLM reasoning → Reasoning benchmarks and evaluation +1
- Learning Phase Distortion with Selective State Space Models for Video Turbulence MitigationState-space sequence models (S4, Mamba) → Mamba for image restoration
- Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRLDeep reinforcement learning methods → RL for robot navigation and UAV control
- LLM for Complex Reasoning Task: An Exploratory Study in Fermi ProblemsLLM reasoning → Mathematical reasoning
- Affordable AI Assistants with Knowledge Graph of ThoughtsLLM reasoning → Knowledge- and tool-augmented reasoning
- Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations ResearchDeep reinforcement learning methods → RL training of language and agent models
- MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank CompensatorsMixture-of-experts → Efficient MoE training and inference systems
- Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action MaskingDeep reinforcement learning methods → RL for energy, networks and operations
- Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic MissionsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Legal Mathematical Reasoning with LLMs: Procedural Alignment through Two-Stage Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation SchemeLLM reasoning → Multimodal reasoning +1
- Bridging the Gap between Gaussian Diffusion Models and Universal Quantization for Image CompressionDiffusion models → Diffusion for compression and wireless
- MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- GPG: A Simple and Strong Reinforcement Learning Baseline for Model ReasoningLLM reasoning → Reinforcement learning for reasoning
- MAD: Makeup All-in-One with Cross-Domain Diffusion ModelDiffusion models → Image generation, text-to-image and editing
- Optimal Control of Probabilistic Dynamics Models via Mean Hamiltonian MinimizationDeep reinforcement learning methods → RL theory and sample complexity
- Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head GenerationDiffusion models → Audio, speech and music +1
- Exploration-Driven Generative Interactive EnvironmentsWorld models → Video-generation world models and simulators
- Inference-Time Scaling for Generalist Reward ModelingLLM reasoning → Reinforcement learning for reasoning +1
- We Need Improved Data Curation and Attribution in AI for Scientific DiscoveryLLM safety and security → Watermarking generated content and models
- Multimodal Fusion and Vision-Language Models: A Survey for Robot VisionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-CheckingLLM reasoning → Reasoning benchmarks and evaluation +1
- Retrieval-Augmented Purifier for Robust LLM-Empowered RecommendationRetrieval-augmented generation → RAG for recommendation
- CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous DrivingEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Scaling Video-Language Models to 10K Frames via Hierarchical Differential DistillationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- SkyReels-A2: Compose Anything in Video Diffusion TransformersDiffusion models → Video generation
- On learning racing policies with reinforcement learningDeep reinforcement learning methods → RL for autonomous driving and traffic
- Adapting Large Language Models for Multi-Domain Retrieval-Augmented-GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy OptimizationDiffusion models → Audio, speech and music
- AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMsLLM reasoning → Clinical and biomedical applications
- Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge DistillationDiffusion models → Medical imaging and segmentation +1
- Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle RoutingDeep reinforcement learning methods → RL for games and combinatorial optimization
- Large (Vision) Language Models are Unsupervised In-Context LearnersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Improving Harmful Text Detection with Joint Retrieval and External KnowledgeLLM safety and security → Safety alignment, refusal and guardrails
- Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language ModelsLLM reasoning → Reinforcement learning for reasoning
- MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert ParallelismMixture-of-experts → Efficient MoE training and inference systems
- T*: Re-thinking Temporal Search for Long-Form Video UnderstandingLLM reasoning → Multimodal reasoning
- LLMs as Deceptive Agents: How Role-Based Prompting Induces Semantic Ambiguity in Puzzle TasksLLM agents and tool use → Social simulation and multi-agent debate
- Adapting World Models with Latent-State Dynamics ResidualsWorld models → Latent dynamics models and model-based RL +1
- The Plot Thickens: Quantitative Part-by-Part Exploration of MLLM Visualization LiteracyMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques
- Datrics Text2SQL: A Framework for Natural Language to SQL Query Generation
- Explainable AI-Driven Detection of Human Monkeypox Using Deep Learning and Vision Transformers: A Comprehensive Analysis
- A Framework for the Assurance of AI-Enabled Systems
- Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals
- Toward Automated Qualitative Analysis: Leveraging Large Language Models for Tutoring Dialogue Evaluation
- Edge Intelligence for Wildlife Conservation: Real-Time Hornbill Call Classification Using TinyML
- SemCAFE: When Named Entities make the Difference Assessing Web Source Reliability through Entity-level Analytics
- Layers at Similar Depths Generate Similar Activations Across LLM Architectures
- Counterfactual Inference under Thompson Sampling
- Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs
- Detecting Plant VOC Traces Using Indoor Air Quality Sensors
- FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training
- Deep Positive-Negative Prototypes for Adversarially Robust Discriminative Prototypical Learning
- Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay
- Advancing Air Quality Monitoring: TinyML-Based Real-Time Ozone Prediction with Cost-Effective Edge Devices
- Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU
- SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis
- Low-cost Embedded Breathing Rate Determination Using 802.15.4z IR-UWB Hardware for Remote Healthcare
- Flow State: Humans Enabling AI Systems to Program Themselves
- SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injections
- From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions
- Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning
- AD-GPT: Large Language Models in Alzheimer's Disease
- Properties of Fixed Points of Generalised Extra Gradient Methods Applied to Min-Max Problems
- Design of AI-Powered Tool for Self-Regulation Support in Programming Education
- Context-Aware Self-Adaptation for Domain Generalization
All 313
- Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
- Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks
- Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
- LLM Library Learning Fails: A LEGO-Prover Case Study
- Attention-Aware Multi-View Pedestrian Tracking
- Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing
- Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation
- VIP: Video Inpainting Pipeline for Real World Human Removal
- IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling
- High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
- Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models
- HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations
- The Dual-Route Model of Induction
- Page Classification for Print Imaging Pipeline
- Emotion Recognition Using Convolutional Neural Networks
- DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery
- Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
- Improving log-based anomaly detection through learned adaptive filter
- Route Recommendations for Traffic Management Under Learned Partial Driver Compliance
- Language Models Guidance with Multi-Aspect-Cueing: A Case Study for Competitor Analysis
- Hummus: A Dataset of Humorous Multimodal Metaphor Use
- A Bayesian account of pronoun and neopronoun acquisition
- Improved Compact Genetic Algorithms with Efficient Caching
- Global-Order GFlowNets
- CoLa: Learning to Interactively Collaborate with Large Language Models
- Digital Forensics in the Age of Large Language Models
- Level Up Peer Review in Education: Investigating genAI-driven Gamification system and its influence on Peer Feedback Effectiveness
- Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis
- Cultural Learning-Based Culture Adaptation of Language Models
- VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning
- Graph Attention for Heterogeneous Graphs with Positional Encoding
- Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
- LiDAR-based Object Detection with Real-time Voice Specifications
- ConfEviSurrogate: A Conformalized Evidential Surrogate Model for Uncertainty Quantification
- Bias in Large Language Models Across Clinical Applications: A Systematic Review
- Feature Engineering on LMS Data to Optimize Student Performance Prediction
- Haphazard Inputs as Images in Online Learning
- Noiser: Bounded Input Perturbations for Attributing Large Language Models
- Systematic Literature Review: Explainable AI Definitions and Challenges in Education
- Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances
- Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress
- How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence
- Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance
- Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives
- On Vanishing Variance in Transformer Length Generalization
- Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing
- Do Two AI Scientists Agree?
- GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings
- Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization
- BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation
- Spline-based Transformers
- A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
- Strong Memory, Weak Control: An Empirical Study of Executive Functioning in LLMs
- GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation
- Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations
- From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks
- Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition
- TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
- MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs
- How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices?
- CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
- Atrial constitutive neural networks
- RBT4DNN: Requirements-based Testing of Neural Networks
- Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact
- Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
- Why do LLMs attend to the first token?
- HQViT: Hybrid Quantum Vision Transformer for Image Classification
- Autonomous Human-Robot Interaction via Operator Imitation
- Computing High-dimensional Confidence Sets for Arbitrary Distributions
- Responsible Development of Offensive AI
- SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions
- Semiparametric Inference for Counterfactual Regression under Intervention-Driven Shift
- GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
- STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability
- Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole
- Compositionality Unlocks Deep Interpretable Models
- BECAME: BayEsian Continual Learning with Adaptive Model MErging
- SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning
- Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation
- Prompt Optimization with Logged Bandit Data
- A Dynamic, Ordinal Gaussian Process Item Response Theoretic Model
- Reservoir Computing: A New Paradigm for Neural Networks
- Grammar-based Ordinary Differential Equation Discovery
- Towards Computation- and Communication-efficient Computational Pathology
- Incorporating the ChEES Criterion into Sequential Monte Carlo Samplers
- Efficient Model Editing with Task-Localized Sparse Fine-tuning
- Variational Online Mirror Descent for Robust Learning in Schr"odinger Bridge
- PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation
- Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation
- Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks
- Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification
- Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
- LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect
- Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset
- State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons
- Knowledge Graph Completion with Mixed Geometry Tensor Factorization
- Deep learning for music generation. Four approaches and their comparative evaluation
- Reasoning Inconsistencies and How to Mitigate Them in Deep Learning
- Cultural Biases of Large Language Models and Humans in Historical Interpretation
- L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression
- Leveraging LLM For Synchronizing Information Across Multilingual Tables
- Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
- Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement
- Fourier Sliced-Wasserstein Embedding for Multisets and Measures
- A Sensorimotor Vision Transformer
- Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery
- Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity
- SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation
- Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment
- UNDO: Understanding Distillation as Optimization
- Tiny Neural Networks for Multi-Object Tracking in a Modular Kalman Framework
- Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting
- MultiNeRF: Multiple Watermark Embedding for Neural Radiance Fields
- Towards Generalizing Temporal Action Segmentation to Unseen Views
- Analytical Discovery of Manifold with Machine Learning
- A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders
- APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
- ZClip: Adaptive Spike Mitigation for LLM Pre-Training
- VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection
- Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention
- Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers
- Industrial Internet Robot Collaboration System and Edge Computing Optimization
- The Self-Learning Agent with a Progressive Neural Network Integrated Transformer
- Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging
- Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
- MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities
- Adaptive path planning for efficient object search by UAVs in agricultural fields
- Semantic segmentation of forest stands using deep learning
- RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects
- CornerPoint3D: Look at the Nearest Corner Instead of the Center
- Evaluating AI Recruitment Sourcing Tools by Human Preference
- Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
- A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries
- The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
- Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation
- ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer
- Cognitive Memory in Large Language Models
- HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning
- Estimating Scene Flow in Robot Surroundings with Distributed Miniaturized Time-of-Flight Sensors
- MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM
- OmniTalker: One-shot Real-time Text-Driven Talking Audio-Video Generation With Multimodal Style Mimicking
- Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection
- How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics
- Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search
- Leveraging Static Relationships for Intra-Type and Inter-Type Message Passing in Video Question Answering
- Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline
- Bridging the Theoretical Gap in Randomized Smoothing
- Translation of Fetal Brain Ultrasound Images into Pseudo-MRI Images using Artificial Intelligence
- DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers
- EvMic: Event-based Non-contact sound recovery from effective spatial-temporal modeling
- Scaling Analysis of Interleaved Speech-Text Language Models
- Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval
- The quasi-semantic competence of LLMs: a case study on the part-whole relation
- Steiner Traveling Salesman Problem with Quantum Annealing
- VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models
- Benchmark of Segmentation Techniques for Pelvic Fracture in CT and X-ray: Summary of the PENGWIN 2024 Challenge
- HPGN: Hybrid Priors-Guided Network for Compressed Low-Light Image Enhancement
- Reinforcement Fine-Tuning for Materials Design
- Brightness Perceiving for Recursive Low-Light Image Enhancement
- MG-Gen: Single Image to Motion Graphics Generation
- All-day Depth Completion via Thermal-LiDAR Fusion
- Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation
- SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW
- Toward General and Robust LLM-enhanced Text-attributed Graph Learning
- LPA3D: 3D Room-Level Scene Generation from In-the-Wild Images
- Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing
- Determining Sphere Radius through Pairwise Distances
- Towards Assessing Deep Learning Test Input Generators
- Refining CLIP's Spatial Awareness: A Visual-Centric Perspective
- LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models
- Dynamic Assortment Selection and Pricing with Censored Preference Feedback
- CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback
- On shallow feedforward neural networks with inputs from a topological space
- X-Capture: An Open-Source Portable Device for Multi-Sensory Learning
- Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation
- ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation
- OmniCam: Unified Multimodal Video Generation via Camera Control
- Measurement of LLM's Philosophies of Human Nature
- Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation
- SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks
- Breaking the Silence: A Dataset and Benchmark for Bangla Text-to-Gloss Translation
- Shallow AutoEncoding Recommender with Cold Start Handling via Side Features
- MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion
- Moment Quantization for Video Temporal Grounding
- Tree-based Models for Vertical Federated Learning: A Survey
- Ga2O3 TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
- LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection
- MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition
- Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
- Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow
- Generative Classifier for Domain Generalization
- MinkOcc: Towards real-time label-efficient semantic occupancy prediction
- Engineering Artificial Intelligence: Framework, Challenges, and Future Direction
- Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data
- MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception
- WonderTurbo: Generating Interactive 3D World in 0.72 Seconds
- Implicit Neural Differential Model for Spatiotemporal Dynamics
- Quantum Lipschitz Bandits
- CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection
- SocialGesture: Delving into Multi-person Gesture Understanding
- Quantum Deep Sets and Sequences
- LLM Social Simulations Are a Promising Research Method
- AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation
- VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence
- APSeg: Auto-Prompt Model with Acquired and Injected Knowledge for Nuclear Instance Segmentation and Classification
- Learning and Improving Backgammon Strategy
- Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
- Geospatial Artificial Intelligence for Satellite-Based Flood Extent Mapping: Concepts, Advances, and Future Perspectives
- Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism
- FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention
- ESC: Erasing Space Concept for Knowledge Deletion
- Orbit Determination through Cosmic Microwave Background Radiation
- A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning