Papers
Thu 20 Mar 2025
362 papers
- How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing CapabilitiesLLM safety and security → Mixture-of-experts routing safety
- Are AI Agents interacting with Online Ads?LLM agents and tool use → Social simulation and multi-agent debate
- Semantic Web and Software Agents -- A Forgotten Wave of Artificial Intelligence?LLM agents and tool use → Web, search, and research agents
- Reward Redistribution via Gaussian Process Likelihood EstimationDeep reinforcement learning methods → RL theory and sample complexity
- IRef-VLA: A Benchmark for Interactive Referential Grounding with Imperfect Language in 3D ScenesMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Automated Harmfulness Testing for Code Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
- Towards Agentic Recommender Systems in the Era of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- EDiT: Efficient Diffusion Transformers with Linear Compressed AttentionDiffusion models → Video generation
- Towards Automated Semantic Interpretability in Reinforcement Learning via Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Cross-Modal and Uncertainty-Aware Agglomeration for Open-Vocabulary 3D Scene UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Deep Q-Learning with Gradient Target TrackingDeep reinforcement learning methods → Deep RL algorithms and representations
- WaveFM: A High-Fidelity and Efficient Vocoder Based on Flow MatchingDiffusion models → Audio, speech and music
- Aligning Text-to-Music Evaluation with Human PreferencesLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- When Less is Enough: Adaptive Token Reduction for Efficient Image RepresentationEfficient LLM inference and serving → Visual token pruning in multimodal models
- Fed-NDIF: A Noise-Embedded Federated Diffusion Model For Low-Count Whole-Body PET DenoisingDiffusion models → Medical imaging and segmentation
- Benchmarking Visual Language Models on Standardized Visualization Literacy TestsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Utilizing Reinforcement Learning for Bottom-Up part-wise Reconstruction of 2D Wire-Frame ProjectionsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future DirectionsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Investigating Retrieval-Augmented Generation in Quranic Studies: A Study of 13 Open-Source Large Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Bezier DistillationKnowledge distillation → General knowledge distillation methods
- Design of Reward Function on Reinforcement Learning for Automated DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- InfiniteYou: Flexible Photo Recrafting While Preserving Your IdentityDiffusion models → Image generation, text-to-image and editing
- Survey on Evaluation of LLM-based AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RoboFactory: Exploring Embodied Agent Collaboration with Compositional ConstraintsOffline RL and imitation learning from data → Robot manipulation imitation learning
- VerbDiff: Text-Only Diffusion Models with Enhanced Interaction AwarenessDiffusion models → Image generation, text-to-image and editing
- Exploring the Hidden Reasoning Process of Large Language Models by Misleading ThemLLM reasoning → Reasoning benchmarks and evaluation
- ScalingNoise: Scaling Inference-Time Search for Generating Infinite VideosDiffusion models → Video generation
- Scale-wise Distillation of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- SV4D 2.0: Enhancing Spatio-Temporal Consistency in Multi-View Video Diffusion for High-Quality 4D GenerationDiffusion models → 3D, point cloud and scene generation
- Deconstructing Long Chain-of-Thought: A Structured Reasoning Optimization Framework for Long CoT DistillationLLM reasoning → Prompting and chain-of-thought reasoning
- LaPIG: Cross-Modal Generation of Paired Thermal and Visible Facial ImagesDiffusion models → Image generation, text-to-image and editing
- Reinforcement Learning-based Heuristics to Guide Domain-Independent Dynamic ProgrammingDeep reinforcement learning methods → Deep RL algorithms and representations
- JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and MouseMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial IntelligenceMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Ultra-Resolution Adaptation with EaseDiffusion models → Diffusion foundations and sampling
- Bridging Technology and Humanities: Evaluating the Impact of Large Language Models on Social Sciences Research with DeepSeek-R1LLM reasoning → Reasoning benchmarks and evaluation
- Unleashing Vecset Diffusion Model for Fast Shape GenerationDiffusion models → 3D, point cloud and scene generation
- Diffusion-augmented Graph Contrastive Learning for Collaborative FilterDiffusion models → Diffusion recommenders
- Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Chain of Functions: A Programmatic Pipeline for Fine-Grained Chart Reasoning DataLLM reasoning → Multimodal reasoning +1
- Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language ModelsEfficient LLM inference and serving → KV cache quantization
- Fin-R1: A Large Language Model for Financial Reasoning through Reinforcement LearningLLM reasoning → Reasoning for agents, planning and code
- Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 AgentsLLM safety and security → Prompt injection and agent security
- Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn'tLLM reasoning → Reinforcement learning for reasoning
- Temporal Score Analysis for Understanding and Correcting Diffusion ArtifactsDiffusion models → Diffusion foundations and sampling
- MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction FusionLLM reasoning → Mathematical reasoning
- Explosive Jumping with Rigid and Articulated Soft Quadrupeds via Example Guided Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Nonparametric Bellman Mappings for Value Iteration in Distributed Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-TuningLLM reasoning → Multimodal reasoning
- Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-DistillationKnowledge distillation → Multimodal distillation
- SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMsEfficient LLM inference and serving → KV cache optimization
- Towards Lighter and Robust Evaluation for Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image EditingDiffusion models → Image generation, text-to-image and editing
- Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingState-space sequence models (S4, Mamba) → Vision Mamba backbones
- Improving Discriminator Guidance in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Cultural Alignment in Large Language Models Using Soft Prompt TuningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learningLLM reasoning → Multimodal reasoning +1
- Tuning LLMs by RAG Principles: Towards LLM-native MemoryRetrieval-augmented generation → RAG pipeline design and evaluation
- PoseTraj: Pose-Aware Trajectory Control in Video DiffusionDiffusion models → Video generation
- Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of ExpertsDiffusion models → Diffusion foundations and sampling +1
- Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and BeyondLLM reasoning → Reasoning for agents, planning and code
- Hybrid-Level Instruction Injection for Video Token Compression in Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- Agentic Keyframe Search for Video Question AnsweringLLM agents and tool use → Multimodal and embodied agents
- The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided ImprovementLLM reasoning → Reasoning for agents, planning and code +1
- BadToken: Token-level Backdoor Attacks to Multi-modal Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
- Imitating AI agents increase diversity in homogeneous information environments but can reduce it in heterogeneous onesLLM agents and tool use → Social simulation and multi-agent debate
- GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language InstructionsLLM reasoning → Spatial and embodied reasoning
- Animating the Uncaptured: Humanoid Mesh Animation with Video Diffusion ModelsDiffusion models → Video generation
- InhibiDistilbert: Knowledge Distillation for a ReLU and Addition-based TransformerKnowledge distillation → Knowledge distillation for LLMs
- Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score DistillationDiffusion models → 3D, point cloud and scene generation
- STOP: Integrated Spatial-Temporal Dynamic Prompting for Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Beyond the Visible: Multispectral Vision-Language Learning for Earth ObservationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Adaptive Group Policy Optimization: Towards Stable Training and Token-Efficient ReasoningLLM reasoning → Reinforcement learning for reasoning
- From Chaos to Order: The Atomic Reasoner Framework for Fine-grained Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical DeploymentLLM agents and tool use → GUI and mobile agents
- SaMam: Style-aware State Space Model for Arbitrary Image Style TransferState-space sequence models (S4, Mamba) → Vision Mamba backbones
- BlockDance: Reuse Structurally Similar Spatio-Temporal Features to Accelerate Diffusion TransformersDiffusion models → Diffusion foundations and sampling
- SPIN: Accelerating Large Language Model Inference with Heterogeneous Speculative ModelsEfficient LLM inference and serving → Speculative decoding
- Denoising-based Contractive Imitation LearningOffline RL and imitation learning from data → Imitation learning methods
- Text-Driven Diffusion Model for Sign Language ProductionDiffusion models → Sign language production
- Jasmine: Harnessing Diffusion Prior for Self-supervised Depth EstimationDiffusion models → 3D, point cloud and scene generation
- CONTHER: Context-Aware Reinforcement Learning for Robotic Manipulation with Sparse RewardsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- UMIT: Unifying Medical Imaging Tasks via Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept GuidanceMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- InCo-DPO: Balancing Distribution Shift and Data Quality for Enhanced Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Typed-RAG: Type-Aware Decomposition of Non-Factoid Questions for Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Repurposing 2D Diffusion Models with Gaussian Atlas for 3D GenerationDiffusion models → 3D, point cloud and scene generation
- DeepPsy-Agent: A Stage-Aware and Deep-Thinking Emotional Support Agent SystemLLM reasoning → Clinical and biomedical applications +1
- MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous DrivingWorld models → World models for autonomous driving +1
- UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple DegradationsDiffusion models → Inverse problems and image restoration
- FORGE: Forensic Reasoning with Grounded EvidenceLLM reasoning → Multimodal reasoning
- Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacementDeep reinforcement learning methods → RL for energy, networks and operations
- Zero-1-to-A: Zero-Shot One Image to Animatable Head Avatars Using Video DiffusionDiffusion models → 3D, point cloud and scene generation
- Uncertainty Quantification and Confidence Calibration in Large Language Models: A SurveyLLM reasoning → Test-time compute and efficient thinking
- Entropy-based Exploration Conduction for Multi-step ReasoningLLM reasoning → Test-time compute and efficient thinking
- A Closer Look at Dynamic Scene Graph Generation In the Era of Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
All 362
- EDEN: Enhanced Diffusion for High-quality Large-motion Video Frame InterpolationDiffusion models → Video generation
- A Vision Centric Remote Sensing BenchmarkMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Controlling Avatar Diffusion with Learnable Gaussian EmbeddingDiffusion models → 3D, point cloud and scene generation
- Mixture of Lookup ExpertsMixture-of-experts → Efficient MoE training and inference systems
- DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMsLLM reasoning → Reasoning benchmarks and evaluation
- RL4Med-DDPO: Reinforcement Learning for Controlled Guidance Towards Diverse Medical Image Generation using Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Medical vision-language models +2
- UAS Visual Navigation in Large and Unseen Environments via a Meta AgentDeep reinforcement learning methods → RL for robot navigation and UAV control
- AutoDrive-QA: A Multiple-Choice Benchmark for Vision-Language Evaluation in Urban Autonomous DrivingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Detecting LLM-Generated Peer ReviewsLLM safety and security → Prompt injection and agent security
- Towards Agentic AI Networking in 6G: A Generative Foundation Model-as-Agent ApproachLLM agents and tool use → Agentic AI for wireless networks
- AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack IntegrationLLM safety and security → Prompt injection and agent security
- Advanced Prediction of Hypersonic Missile Trajectories with CNN-LSTM-GRU Architectures
- On the Effectiveness of the 'Follow-the-Sun' Strategy in Mitigating the Carbon Footprint of AI in Cloud Instances
- AI-Driven Sentiment Analytics: Unlocking Business Value in the E-Commerce Landscape
- HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing
- Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis
- A self-learning framework for adaptive free-form pipe routing in aeroengines
- Transfer learning from first-principles calculations to experiments with chemistry-informed domain transformation
- CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
- Input-Triggered Hardware Trojan Attack on Spiking Neural Networks
- Unifying EEG and Speech for Emotion Recognition: A Two-Step Joint Learning Framework for Handling Missing EEG Data During Inference
- Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting
- Leveraging OpenFlamingo for Multimodal Embedding Analysis of C2C Car Parts Data
- A Comprehensive Survey on Long Context Language Modeling
- Efficiently Vectorized MCMC on Modern Accelerators
- EarlyStopping: Implicit Regularization for Iterative Learning Procedures in Python
- SAGE: Semantic-Driven Adaptive Gaussian Splatting in Extended Reality
- Ordered Topological Deep Learning: a Network Modeling Case Study
- SPACER: A Parallel Dataset of Speech Production And Comprehension of Error Repairs
- Can Complexity and Uncomputability Explain Intelligence? SuperARC: A Test for Artificial Super Intelligence Based on Recursive Compression
- Digitally Prototype Your Eye Tracker: Simulating Hardware Performance using 3D Synthetic Data
- Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions
- Design and Implementation of an FPGA-Based Hardware Accelerator for Transformer
- Natural Language Generation
- CAARMA: Class Augmentation with Adversarial Mixup Regularization
- Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents
- 4D Gaussian Splatting SLAM
- QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge
- NeuroSep-CP-LCB: A Deep Learning-based Contextual Multi-armed Bandit Algorithm with Uncertainty Quantification for Early Sepsis Prediction
- Universal approximation property of neural stochastic differential equations
- ATOM: A Framework of Detecting Query-Based Model Extraction Attacks for Graph Neural Networks
- Limits of trust in medical AI
- Making the unmodulated pyramid wavefront sensor smart II. First on-sky demonstration of extreme adaptive optics with deep learning
- GAIR: Location-Aware Self-Supervised Contrastive Pre-Training with Geo-Aligned Implicit Representations
- GauRast: Enhancing GPU Triangle Rasterizers to Accelerate 3D Gaussian Splatting
- Echoes of Power: Investigating Geopolitical Bias in US and China Large Language Models
- QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
- Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets
- Subgradient Method for System Identification with Non-Smooth Objectives
- Accelerating Transformer Inference and Training with 2:4 Activation Sparsity
- Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
- A preliminary data fusion study to assess the feasibility of Foundation Process-Property Models in Laser Powder Bed Fusion
- Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation
- TextBite: A Historical Czech Document Dataset for Logical Page Segmentation
- ContextGNN goes to Elliot: Towards Benchmarking Relational Deep Learning for Static Link Prediction (aka Personalized Item Recommendation)
- Advances in Protein Representation Learning: Methods, Applications, and Future Directions
- Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs
- iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation
- Ensemble Survival Analysis for Preclinical Cognitive Decline Prediction in Alzheimer's Disease Using Longitudinal Biomarkers
- To impute or not to impute: How machine learning modelers treat missing data
- Whenever, Wherever: Towards Orchestrating Crowd Simulations with Spatio-Temporal Spawn Dynamics
- TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features
- MobilePlantViT: A Mobile-friendly Hybrid ViT for Generalized Plant Disease Image Classification
- Leveraging Large Language Models for Explainable Activity Recognition in Smart Homes: A Critical Evaluation
- Progressive Test Time Energy Adaptation for Medical Image Segmentation
- Classification of User Reports for Detection of Faulty Computer Components using NLP Models: A Case Study
- Informative Path Planning to Explore and Map Unknown Planetary Surfaces with Gaussian Processes
- A Recipe for Generating 3D Worlds From a Single Image
- Decision Feedback In-Context Learning for Wireless Symbol Detection
- UniK3D: Universal Camera Monocular 3D Estimation
- A Statistical Analysis for Per-Instance Evaluation of Stochastic Optimizers: Avoiding Unreliable Conclusions
- Big Help or Big Brother? Auditing Tracking, Profiling, and Personalization in Generative AI Assistants
- Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays
- Machine Learning-Based Genomic Linguistic Analysis (Gene Sequence Feature Learning): A Case Study on Predicting Heavy Metal Response Genes in Rice
- Procrustes Wasserstein Metric: A Modified Benamou-Brenier Approach with Applications to Latent Gaussian Distributions
- World Knowledge from AI Image Generation for Robot Control
- SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors
- Feature selection strategies for optimized heart disease diagnosis using ML and DL models
- Extract, Match, and Score: An Evaluation Paradigm for Long Question-context-answer Triplets in Financial Analysis
- AUV Acceleration Prediction Using DVL and Deep Learning
- Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement
- Exploring Deep Learning Models for EEG Neural Decoding
- Gene42: Long-Range Genomic Foundation Model With Dense Attention
- Chem42: a Family of chemical Language Models for Target-aware Ligand Generation
- FutureGen: A RAG-based Approach to Generate the Future Work of Scientific Article
- Early Prediction of Alzheimer's and Related Dementias: A Machine Learning Approach Utilizing Social Determinants of Health Data
- Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI
- Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation
- Sonata: Self-Supervised Learning of Reliable Point Representations
- XAttention: Block Sparse Attention with Antidiagonal Scoring
- DynamicVis: Dynamic Visual Perception for Efficient Remote Sensing Foundation Models
- Tokenize Image as a Set
- Bezier Splatting for Fast and Differentiable Vector Graphics Rendering
- GAEA: A Geolocation Aware Conversational Assistant
- 1000+ FPS 4D Gaussian Splatting for Dynamic Scene Rendering
- MagicMotion: Controllable Video Generation with Dense-to-Sparse Trajectory Guidance
- SynCity: Training-Free Generation of 3D Worlds
- M3: 3D-Spatial MultiModal Memory
- DreamTexture: Shape from Virtual Texture with Analysis by Augmentation
- The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination
- SA-Occ: Satellite-Assisted 3D Occupancy Prediction in Real World
- The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations
- Truthful Elicitation of Imprecise Forecasts
- Do Visual Imaginations Improve Vision-and-Language Navigation Agents?
- Graph of Effort: Quantifying Risk of AI Usage for Vulnerability Assessment
- Attentional Triple-Encoder Network in Spatiospectral Domains for Medical Image Segmentation
- Sparse Nonparametric Contextual Bandits
- Panoptic-CUDAL: Rural Australia Point Cloud Dataset in Rainy Conditions
- NuiScene: Exploring Efficient Generation of Unbounded Outdoor Scenes
- Neural Networks: According to the Principles of Grassmann Algebra
- Probabilistic Quantum SVM Training on Ising Machine
- Enhancing variational quantum algorithms by balancing training on classical and quantum hardware
- UniSync: A Unified Framework for Audio-Visual Synchronization
- CaKE: Circuit-aware Editing Enables Generalizable Knowledge Learners
- Lyra: An Efficient and Expressive Subquadratic Architecture for Modeling Biological Sequences
- Palatable Conceptions of Disembodied Being
- HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks
- Human locomotor control timescales depend on the environmental context and sensory input modality
- Gaussian Graph Network: Learning Efficient and Generalizable Gaussian Representations from Multi-view Images
- Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
- Enhancing Software Quality Assurance with an Adaptive Differential Evolution based Quantum Variational Autoencoder-Transformer Model
- LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates
- Knowledge-guided machine learning for county-level corn yield prediction under drought
- NeuralFoil: An Airfoil Aerodynamics Analysis Tool Using Physics-Informed Machine Learning
- Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction
- On the Cone Effect in the Learning Dynamics
- Active Learning For Repairable Hardware Systems With Partial Coverage
- Structured-Noise Masked Modeling for Video, Audio and Beyond
- Rapid patient-specific neural networks for intraoperative X-ray to volume registration
- Speeding up design and making to reduce time-to-project and time-to-market: an AI-Enhanced approach in engineering education
- SceneMI: Motion In-betweening for Modeling Human-Scene Interactions
- Explainable Graph-theoretical Machine Learning with Application to Alzheimer's Disease Prediction
- PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
- Unified Cross-Scale 3D Generation and Understanding via Autoregressive Modeling
- Rethinking Robustness in Machine Learning: A Posterior Agreement Approach
- Evaluating quality metrics through the lenses of psychophysical measurements of low-level vision
- From Monocular Vision to Autonomous Action: Guiding Tumor Resection via 3D Reconstruction
- M2N2V2: Multi-Modal Unsupervised and Training-free Interactive Segmentation
- RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility
- OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
- Machine learning identifies nullclines in oscillatory dynamical systems
- Empirical Analysis of Privacy-Fairness-Accuracy Trade-offs in Federated Learning: A Step Towards Responsible AI
- Flight Testing an Optionally Piloted Aircraft: a Case Study on Trust Dynamics in Human-Autonomy Teaming
- Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems
- Neural Variable-Order Fractional Differential Equation Networks
- Interpretable Neural Causal Models with TRAM-DAGs
- Logic Explanation of AI Classifiers by Categorical Explaining Functors
- Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts
- VP-NTK: Exploring the Benefits of Visual Prompting in Differentially Private Data Synthesis
- Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction
- Large Language Models for Water Distribution Systems Modeling and Decision-Making
- Manifold learning in metric spaces
- MapGlue: Multimodal Remote Sensing Image Matching
- Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations
- Narrowing Class-Wise Robustness Gaps in Adversarial Training
- OccluGaussian: Occlusion-Aware Gaussian Splatting for Large Scene Reconstruction and Rendering
- CodeReviewQA: The Code Review Comprehension Assessment for Large Language Models
- Iterative Optimal Attention and Local Model for Single Image Rain Streak Removal
- RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
- Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems
- Selective Complementary Feature Fusion and Modal Feature Compression Interaction for Brain Tumor Segmentation
- Only a Little to the Left: A Theory-grounded Measure of Political Bias in Large Language Models
- Unify and Triumph: Polyglot, Diverse, and Self-Consistent Generation of Unit Tests with LLMs
- MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering
- Coupling deep and handcrafted features to assess smile genuineness
- Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection
- Distributed Learning over Arbitrary Topology: Linear Speed-Up with Polynomial Transient Time
- Probabilistic Prompt Distribution Learning for Animal Pose Estimation
- PromptMobile: Efficient Promptus for Low Bandwidth Mobile Video Streaming
- Learn to Bid as a Price-Maker Wind Power Producer
- OSLoPrompt: Bridging Low-Supervision Challenges and Open-Set Domain Generalization in CLIP
- MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
- AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
- Hyperspectral Imaging for Identifying Foreign Objects on Pork Belly
- Allostatic Control of Persistent States in Spiking Neural Networks for perception and computation
- 3-D Image-to-Image Fusion in Lightsheet Microscopy by Two-Step Adversarial Network: Contribution to the FuseMyCells Challenge
- Toxicity Is a Property of Communicative Events: A Contextual Stress Measurement Framework for NLP
- Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction
- Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures
- PromptHash: Affinity-Prompted Collaborative Cross-Modal Learning for Adaptive Hashing Retrieval
- Two-stage Incomplete Utterance Rewriting on Editing Operation
- Landmarks Are Alike Yet Distinct: Harnessing Similarity and Individuality for One-Shot Medical Landmark Detection
- Semantic-Guided Global-Local Collaborative Networks for Lightweight Image Super-Resolution
- SALT: Parameter-Efficient Fine-Tuning via Singular Value Adaptation with Low-Rank Transformation
- Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation
- Meta-Learning Neural Mechanisms rather than Bayesian Priors
- Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic
- Open Science and Artificial Intelligence for supporting the sustainability of the SRC Network: The espSRC case
- Incomplete Utterance Rewriting with Editing Operation Guidance and Utterance Augmentation
- GreenIQ: A Deep Search Platform for Comprehensive Carbon Market Analysis and Automated Report Generation
- Deceptive Humor: A Synthetic Multilingual Benchmark Dataset for Bridging Fabricated Claims with Humorous Content
- Single Image Iterative Subject-driven Generation and Editing
- Corrective In-Context Learning: Evaluating Self-Correction in Large Language Models
- GazeSCRNN: Event-based Near-eye Gaze Tracking using a Spiking Neural Network
- Patch-based learning of adaptive Total Variation parameter maps for blind image denoising
- SenseExpo: Spatial Exploration and Navigation via Scene Estimation from Expeditious Predictive Operators
- Automating 3D Dataset Generation with Neural Radiance Fields
- ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
- SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
- Exploring the Reliability of Self-explanation and its Relationship with Classification in Language Model-driven Financial Analysis
- DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration
- Exploratory Study into Relations between Cognitive Distortions and Emotional Appraisals
- A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli
- TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
- V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition
- Information maximization for a broad variety of multi-armed bandit games
- GAN-enhanced Simulation-driven DNN Testing in Absence of Ground Truth
- CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention
- Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic Facts
- Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning
- Multivariate Time Series Anomaly Detection in Industry 5.0
- UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
- DnLUT: Ultra-Efficient Color Image Denoising via Channel-Aware Lookup Tables
- Sample-Efficient Bayesian Transfer Learning for Online Machine Parameter Optimization
- Towards Automatic Continual Learning: A Self-Adaptive Framework for Continual Instruction Tuning
- General reproducing properties in RKHS with application to derivative and integral operators
- Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras
- No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather
- Enhancing Close-up Novel View Synthesis via Pseudo-labeling
- More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
- On the Limits of Applying Graph Transformers for Brain Connectome Classification
- A multi-model approach using XAI and anomaly detection to predict asteroid hazards
- Reconstructing In-the-Wild Open-Vocabulary Human-Object Interactions
- Learning 3D Scene Analogies with Neural Contextual Scene Maps
- UniHDSA: A Unified Relation Prediction Approach for Hierarchical Document Structure Analysis
- Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
- LeanTTA: A Backpropagation-Free and Stateless Approach to Quantized Test-Time Adaptation on Edge Devices
- DocVideoQA: Towards Comprehensive Understanding of Document-Centric Videos through Question Answering
- MASH-VLM: Mitigating Action-Scene Hallucination in Video-LLMs through Disentangled Spatial-Temporal Representations
- FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation
- Sequential Spatial-Temporal Network for Interpretable Automatic Ultrasonic Assessment of Fetal Head during labor
- VideoRFSplat: Direct Scene-Level Text-to-3D Gaussian Splatting Generation with Flexible Pose and Multi-View Joint Modeling
- Network Embedding Exploration Tool (NEExT)
- Beyond Local Selection: Global Cut Selection for Enhanced Mixed-Integer Programming
- Network-wide Freeway Traffic Estimation Using Sparse Sensor Data: A Dirichlet Graph Auto-Encoder Approach
- FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
- F`ux`i: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation
- BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting
- Energy-Efficient Federated Learning and Migration in Digital Twin Edge Networks
- Control Pneumatic Soft Bending Actuator with Online Learning Pneumatic Physical Reservoir Computing
- Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection
- Ranking Counterfactual Explanations
- Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing
- Big data comparison of quantum invariants
- ChatGPT and U(X): A Rapid Review on Measuring the User Experience
- Video-VoT-R1: An efficient video inference model integrating image packing and AoE architecture
- Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data
- Disentangling Uncertainties by Learning Compressed Data Representation
- Frequency Enhancement for Image Demosaicking
- Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
- Grammar and Gameplay-aligned RL for Game Description Generation with LLMs
- Learning Universal Human Mobility Patterns with a Foundation Model for Cross-domain Data Fusion
- Line Space Clustering (LSC): Feature-Based Clustering using K-medians and Dynamic Time Warping for Versatility
- Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding
- Prediction of Permissioned Blockchain Performance for Resource Scaling Configurations
- Can one size fit all?: Measuring Failure in Multi-Document Summarization Domain Transfer
- Accelerating Transient CFD through Machine Learning-Based Flow Initialization
- OffsetOPT: Explicit Surface Reconstruction without Normals
- Dialogic Learning in Child-Robot Interaction: A Hybrid Approach to Personalized Educational Content Generation
- GraPLUS: Graph-based Placement Using Semantics for Image Composition
- ATTENTION2D: Communication Efficient Distributed Self-Attention Mechanism
- Using Large Language Models to Categorize Strategic Situations and Decipher Motivations Behind Human Behaviors