Papers
Thu 17 Apr 2025
313 papers
- RAGDoll: Efficient Offloading-based Online RAG System on a Single GPURetrieval-augmented generation → RAG pipeline design and evaluation
- D2MoE: Dual Routing and Dynamic Scheduling for Efficient On-Device MoE-based LLM ServingMixture-of-experts → Efficient MoE training and inference systems +1
- Governance Challenges in Reinforcement Learning from Human Feedback: Evaluator Rationality and Reinforcement StabilityLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- An Optimal Discriminator Weighted Imitation Perspective for Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
- On the minimax optimality of Flow Matching through the connection to kernel density estimationDiffusion models → Flow matching, time series and science
- Causal-Copilot: An Autonomous Causal Analysis AgentLLM agents and tool use → Medical and scientific domain agents
- Recursive Deep Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Image Editing with Diffusion Models: A SurveyDiffusion models → Image generation, text-to-image and editing
- ICAS: IP Adapter and ControlNet-based Attention Structure for Multi-Subject Style Transfer OptimizationDiffusion models → Image generation, text-to-image and editing
- PerceptionLM: Open-Access Data and Models for Detailed Visual UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Sleep-time Compute: Beyond Inference Scaling at Test-timeLLM reasoning → Test-time compute and efficient thinking
- Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective ResamplingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- MIB: A Mechanistic Interpretability BenchmarkMechanistic interpretability → Circuits and mechanistic analysis
- Exploring Expert Failures Improves LLM Agent TuningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Energy-Based Reward Models for Robust Language Model AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Low-hallucination Synthetic Captions for Large-Scale Vision-Language Model Pre-trainingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Probing and Inducing Combinational Creativity in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow ModelsDiffusion models → Image generation, text-to-image and editing
- Retrieval-Augmented Generation with Conflicting EvidenceRetrieval-augmented generation → RAG robustness and adaptive retrieval
- SkyReels-V2: Infinite-length Film Generative ModelMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
- EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe GuidanceWorld models → Medical and surgical world models
- ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsDiffusion models → Image generation, text-to-image and editing
- NoisyRollout: Reinforcing Visual Reasoning with Data AugmentationLLM reasoning → Multimodal reasoning +1
- Aspect-Based Summarization with Self-Aspect Retrieval Enhanced GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- GraphAttack: Exploiting Representational Blindspots in LLM Safety MechanismsLLM safety and security → Jailbreaking
- InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task PlanningRetrieval-augmented generation → Agentic RAG, agents and memory
- TTRD3: Texture Transfer Residual Denoising Dual Diffusion Model for Remote Sensing Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- ChatEXAONEPath: An Expert-level Multimodal Large Language Model for Histopathology Using Whole Slide ImagesMultimodal LLMs / vision-language models → Medical vision-language models
- SHA256 at SemEval-2025 Task 4: Selective Amnesia -- Constrained Unlearning for Large Language Models via Knowledge IsolationLLM safety and security → Machine unlearning
- Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the WildRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document SummarizationLLM reasoning → Knowledge- and tool-augmented reasoning +1
- QLLM: Do We Really Need a Mixing Network for Credit Assignment in Multi-Agent Reinforcement Learning?LLM agents and tool use → Reinforcement learning for LLM agents
- Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized FeedbackLLM reasoning → Test-time compute and efficient thinking
- RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNsDeep reinforcement learning methods → RL theory and sample complexity
- Disentangling Polysemantic Channels in Convolutional Neural NetworksMechanistic interpretability → Circuits and mechanistic analysis
- Benchmarking Multi-National Value Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- DashChat: Interactive Authoring of Performance Dashboard Design Prototypes through Conversation with LLM-Powered AgentLLM agents and tool use → GUI and mobile agents
- Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacksLLM reasoning → Reasoning benchmarks and evaluation
- SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedbackDiffusion models → Image generation, text-to-image and editing +1
- UncAD: Towards Safe End-to-end Autonomous Driving via Online Map UncertaintyEnd-to-end autonomous driving → End-to-end system architecture
- Saliency-Aware Diffusion Reconstruction for Effective Invisible Watermark RemovalLLM safety and security → Watermarking generated content and models
- EarthGPT-X: A Spatial MLLM for Multi-level Multi-Source Remote Sensing Imagery Understanding with Visual PromptingLLM reasoning → Spatial and embodied reasoning +1
- ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion PriorDiffusion models → 3D, point cloud and scene generation
- Towards Lossless Token Pruning in Late-Interaction Retrieval ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Enhancing the Geometric Problem-Solving Ability of Multimodal LLMs via Symbolic-Neural IntegrationLLM reasoning → Spatial and embodied reasoning +1
- GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-theoretic TasksLLM reasoning → Knowledge- and tool-augmented reasoning
- MCP Guardian: A Security-First Layer for Safeguarding MCP-Based AI SystemLLM agents and tool use → Agent threats, guardrails and governance
- LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly DetectionLLM reasoning → Chain-of-thought reasoning for driving
- Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency ConstraintsDiffusion models → Robustness, privacy and adversarial aspects
- Pandora: A Code-Driven Large Language Model Agent for Unified Reasoning Across Diverse Structured KnowledgeLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Post-pre-training for Modality Alignment in Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Collaborative Perception Datasets for Autonomous Driving: A ReviewEnd-to-end autonomous driving → Cooperative and V2X driving
- WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM AgentsLLM agents and tool use → Web, search, and research agents
- GRAIL: Gradient-Based Adaptive Unlearning for Privacy and Copyright in LLMsLLM safety and security → Machine unlearning
- Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement LearningLLM reasoning → Spatial and embodied reasoning
- TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI AgentsLLM agents and tool use → GUI and mobile agents
- ACoRN: Noise-Robust Abstractive Compression in Retrieval-Augmented Language ModelsRetrieval-augmented generation → Generation and context integration
- Fully Unified Motion Planning for End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- VLMGuard-R1: Proactive Safety Alignment for VLMs via Reasoning-Driven Prompt OptimizationLLM reasoning → Reasoning for agents, planning and code +3
- Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data GenerationLLM reasoning → Reasoning benchmarks and evaluation +1
- Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion ModelsDiffusion models → Video generation
- AdaQual-Diff: Diffusion-Based Image Restoration via Adaptive Quality PromptingDiffusion models → Inverse problems and image restoration
- 3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression SegmentationKnowledge distillation → Detection and dense prediction distillation
- GeoSense: Evaluating Identification and Application of Geometric Principles in Multimodal ReasoningLLM reasoning → Spatial and embodied reasoning +1
- ForgetMe: Evaluating Selective Forgetting in Generative ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Evolutionary Policy OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data GenerationLLM agents and tool use → Web, search, and research agents +1
- CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- TraCeS: Learning Per-Timestep Constraint-Violation Credit from Sparse Trajectory-Level LabelsDeep reinforcement learning methods → Safe and constrained RL
- ELAB: Extensive LLM Alignment Benchmark in Persian LanguageLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- The Limits of Tractable Marginalization
- AI-Powered Agile Analog Circuit Design and Optimization
- Subfunction Structure Matters: A New Perspective on Local Optima Networks
- Security-First AI: Foundations for Robust and Trustworthy Systems
- Representation Learning for Tabular Data: A Comprehensive Survey
- A biologically Inspired Trust Model for Open Multi-Agent Systems that is Resilient to Rapid Performance Fluctuations
- Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
- Gas Station of the Future: A Perspective on AI/ML and IoT in Retail Downstream
- Multiscale Tensor Summation Factorization as a New Neural Network Layer (MTS Layer) for Multidimensional Data Processing
- Enhancing Stroke Diagnosis in the Brain Using a Weighted Deep Learning Approach
- Birds of a Different Feather Flock Together: Exploring Opportunities and Challenges in Animal-Human-Machine Teaming
- The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges
- Tinker Tales: Interactive Storytelling Framework for Early Childhood Narrative Development and AI Literacy
- Adversarial Resilience against Clean-Label Attacks in Realizable and Noisy Settings
- A Collaborative Platform for Soil Organic Carbon Inference Based on Spatiotemporal Remote Sensing Data
- CONTINA: Confidence Interval for Traffic Demand Prediction with Coverage Guarantee
- Deep literature reviews: an application of fine-tuned language models to migration research
- SMPL-GPTexture: Dual-View 3D Human Texture Estimation using Text-to-Image Generation Models
- Addressing the Minor-Embedding Problem in Quantum Annealing and Evaluating State-of-the-Art Algorithm Performance
- Pricing AI Model Accuracy
- The Impact of AI on the Cyber Offense-Defense Balance and the Character of Cyber Conflict
- VLLFL: A Vision-Language Model Based Lightweight Federated Learning Framework for Smart Agriculture
- In between myth and reality: AI for math -- a case study in category theory
- Cost-of-Pass: An Economic Framework for Evaluating Language Models
- Denoising and Reconstruction of Nonlinear Dynamics using Truncated Reservoir Computing
- Chain-of-Modality: Learning Manipulation Programs from Multimodal Human Videos with Vision-Language-Models
- Adaptive AI decision interface for autonomous electronic material discovery
All 313
- Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
- Predicting Forced Responses of Probability Distributions via the Fluctuation-Dissipation Theorem and Generative Modeling
- Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
- Focus3D: A Practical Method to Adaptively Focus ISAR Data and Provide 3-D Information for Automatic Target Recognition
- Gradient-Free Sequential Bayesian Experimental Design via Interacting Particle Systems
- On the Definition of Robustness and Resilience of AI Agents for Real-time Congestion Management
- SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling
- Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope
- Training Autoencoders Using Stochastic Hessian-Free Optimization with LSMR
- Weak Cube R-CNN: Weakly Supervised 3D Detection using only 2D Bounding Boxes
- Enhanced Pruning Strategy for Multi-Component Neural Architectures Using Component-Aware Graph Analysis
- Let Me Grok for You: Accelerating Grokking via Embedding Transfer from a Weaker Model
- Sentiment Analysis on the young people's perception about the mobile Internet costs in Senegal
- LIFT+: Lightweight Fine-Tuning for Long-Tail Learning
- A Stochastic Nonlinear Dynamical System for Smoothing Noisy Eye Gaze Data
- Interpersonal Theory of Suicide as a Lens to Examine Suicidal Ideation in Online Spaces
- ChartQA-X: Generating Explanations for Visual Chart Reasoning
- Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs
- CPG-EVAL: A Multi-Tiered Benchmark for Evaluating the Chinese Pedagogical Grammar Competence of Large Language Models
- Dynamic Memory Transformer for Hyperspectral Image Classification
- ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
- NNTile: a machine learning framework capable of training extremely large GPT language models on a single node
- Non-Uniform Class-Wise Coreset Selection for Vision Model Fine-tuning
- Auto-FEDUS: Autoregressive Generative Modeling of Doppler Ultrasound Signals from Fetal Electrocardiograms
- A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices
- WildFireCan-MMD: A Multimodal Dataset for Classification of User-Generated Content During Wildfires in Canada
- PSG-MAE: Robust Multitask Sleep Event Monitoring using Multichannel PSG Reconstruction and Inter-channel Contrastive Learning
- Neural Mean-Field Games: Extending Mean-Field Game Theory with Neural Stochastic Differential Equations
- DIDS: Domain Impact-aware Data Sampling for Large Language Model Training
- SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification
- Scaling Laws for Data-Efficient Visual Transfer Learning
- Harmony: A Unified Framework for Modality Incremental Learning
- Sustainability via LLM Right-sizing
- KFinEval-Pilot: A Comprehensive Benchmark Suite for Korean Financial Language Understanding
- Perception Encoder: The best visual embeddings are not at the output of the network
- ViTa-Zero: Zero-shot Visuotactile Object 6D Pose Estimation
- Aligning Constraint Generation with Design Intent in Parametric CAD
- Spatial Polarization Multiplexing: Single-Shot Invisible Shape and Reflectance Recovery
- IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design
- It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization
- SemCORE: A Semantic-Enhanced Generative Cross-Modal Retrieval Framework with MLLMs
- ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos
- RUKA: Rethinking the Design of Humanoid Hands with Learning
- Personalized Text-to-Image Generation with Auto-Regressive Models
- Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
- Digital Twin Generation from Visual Data: A Survey
- AerialMegaDepth: Learning Aerial-Ground Reconstruction and View Synthesis
- Training-Free Hierarchical Scene Understanding for Gaussian Splatting with Superpoint Graphs
- St4RTrack: Simultaneous 4D Reconstruction and Tracking in the World
- Readable Twins of Unreadable Models
- Antidistillation Sampling
- textttComplex-Edit: CoT-Like Instruction Generation for Complexity-Controllable Image Editing Benchmark
- Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
- PCBEAR: Pose Concept Bottleneck for Explainable Action Recognition
- Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo
- NTIRE 2025 Challenge on Short-form UGC Video Quality Assessment and Enhancement: Methods and Results
- Science-T2I: Addressing Scientific Illusions in Image Synthesis
- FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents
- LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard
- Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms
- Quorum: Zero-Training Unsupervised Anomaly Detection using Quantum Autoencoders
- Hadamard product in deep learning: Introduction, Advances and Challenges
- Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification
- Propagation of Chaos in One-hidden-layer Neural Networks beyond Logarithmic Time
- A Multi-task Learning Balanced Attention Convolutional Neural Network Model for Few-shot Underwater Acoustic Target Recognition
- Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research
- RF-DETR Object Detection vs YOLOv12 : A Study of Transformer-based and CNN-based Architectures for Single-Class and Multi-Class Greenfruit Detection in Complex Orchard Environments Under Label Ambiguity
- EventVAD: Training-Free Event-Aware Video Anomaly Detection
- Tackling Social Bias against the Poor: A Dataset and Taxonomy on Aporophobia
- MGT: Extending Virtual Try-Off to Multi-Garment Scenarios
- Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled Data
- An All-Atom Generative Model for Designing Protein Complexes
- HiScene: Creating Hierarchical 3D Scenes with Isometric View Generation
- Accuracy is Not Agreement: Expert-Aligned Evaluation of Crash Narrative Classification Models
- Imaging for All-Day Wearable Smart Glasses
- RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
- Design Topological Materials by Reinforcement Fine-Tuned Generative Model
- Variance-Reduced Fast Operator Splitting Methods for Generalized Equations
- Expert Kernel Generation Network Driven by Contextual Mapping for Hyperspectral Image Classification
- The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map
- Event-Enhanced Blurry Video Super-Resolution
- How Large Language Models Are Changing MOOC Essay Answers: A Comparison of Pre- and Post-LLM Responses
- Towards Cardiac MRI Foundation Models: Comprehensive Visual-Tabular Representations for Whole-Heart Assessment and Beyond
- Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval
- Inference-friendly Graph Compression for Graph Neural Networks
- Riemannian Patch Assignment Gradient Flows
- CompGS++: Compressed Gaussian Splatting for Static and Dynamic Scene Representation
- Pose and Facial Expression Transfer by using StyleGAN
- Hierarchical Feature Learning for Medical Point Clouds via State Space Model
- GSAC: Leveraging Gaussian Splatting for Photorealistic Avatar Creation with Unity Integration
- All-in-One Transferring Image Compression from Human Perception to Multi-Machine Perception
- Enhancing Cocoa Pod Disease Classification via Transfer Learning and Ensemble Methods: Toward Robust Predictive Modeling
- A Theoretical Framework for OOD Robustness in Transformers using Gevrey Classes
- Query Complexity of Classical and Quantum Channel Discrimination
- Why Ask One When You Can Ask k? Learning-to-Defer to the Top-k Experts
- Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation
- A Phenomenological Approach to Analyzing User Queries in IT Systems Using Heidegger's Fundamental Ontology
- Sparks of Science: Hypothesis Generation Using Structured Paper Data
- Transferrable Surrogates in Expressive Neural Architecture Search Spaces
- MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection
- Vision and Language Integration for Domain Generalization
- Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction
- Efficient Masked Image Compression with Position-Indexed Self-Attention
- An abstract effective convergence theorem for stochastic processes, with applications to stochastic approximation
- IdentiARAT: Toward Automated Identification of Individual ARAT Items from Wearable Sensors
- Sliced-Wasserstein Distance-based Data Selection
- Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers
- ConExion: Concept Extraction with Large Language Models
- MAIN: Mutual Alignment Is Necessary for instruction tuning
- Real-time High-fidelity Gaussian Human Avatars with Position-based Interpolation of Spatially Distributed MLPs
- Taccel: Scaling Up Vision-based Tactile Robotics via High-performance GPU Simulation
- Matrix-free Second-order Optimization of Gaussian Splats with Residual Sampling
- Tree-NeRV: A Tree-Structured Neural Representation for Efficient Non-Uniform Video Encoding
- Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
- Are AI agents the new machine translation frontier? Challenges and opportunities of single- and multi-agent systems for multilingual digital communication
- Mirror, Mirror of the Flow: How Does Regularization Shape Implicit Bias?
- ViClaim: A Multilingual Multilabel Dataset for Automatic Claim Detection in Videos
- Can Masked Autoencoders Also Listen to Birds?
- Building Russian Benchmark for Evaluation of Information Retrieval Models
- A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
- SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration
- Computer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data
- EmoVoice: LLM-based Emotional Text-To-Speech Model with Freestyle Text Prompting
- When do Random Forests work?
- 3D-PNAS: 3D Industrial Surface Anomaly Synthesis with Perlin Noise
- iHHO-SMOTe: A Cleansed Approach for Handling Outliers and Reducing Noise to Improve Imbalanced Data Classification
- FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning
- High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
- ALT: A Python Package for Lightweight Feature Representation in Time Series Classification
- Predicting Stock Prices using Permutation Decision Trees and Strategic Trailing
- TwoSquared: 4D Generation from 2D Image Pairs
- Explainable Scene Understanding with Qualitative Representations and Graph Neural Networks
- SMARTe: Slot-based Method for Accountable Relational Triple extraction
- AAA-Gaussians: Anti-Aliased and Artifact-Free 3D Gaussian Rendering
- Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization
- A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
- Assessing LLMs in Art Contexts: Critique Generation and Theory of Mind Evaluation
- Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies
- Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch
- CAGE-GS: High-fidelity Cage Based 3D Gaussian Splatting Deformation
- TSGS: Improving Gaussian Splatting for Transparent Surface Reconstruction via Normal and De-lighting Priors
- Set You Straight: Auto-Steering Denoising Trajectories to Sidestep Unwanted Concepts
- Multi-Agent Reinforcement Learning Simulation for Environmental Policy Synthesis
- Out of Sight Out of Mind, Out of Sight Out of Mind: Measuring Bias in Language Models Against Overlooked Marginalized Groups in Regional Contexts
- Universal Approximation with XL MIMO Systems: OTA Classification via Trainable Analog Combining
- Trajectory Adaptation using Large Language Models
- Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation
- Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
- GPMFS: Global Foundation and Personalized Optimization for Multi-Label Feature Selection
- Mask Image Watermarking
- Chinese-Vicuna: A Chinese Instruction-following Llama-based Model
- The Athenian Academy: A Seven-Layer Architecture Model for Multi-Agent Systems
- KODIS: A Multicultural Dispute Resolution Dialogue Corpus
- SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation
- TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
- TUMLS: Trustful Fully Unsupervised Multi-Level Segmentation for Whole Slide Images of Histology
- Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection
- Cross-environment Cooperation Enables Zero-shot Multi-agent Coordination
- Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
- NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results
- Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving
- SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding
- A Two-Phase Perspective on Deep Learning Dynamics
- Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms
- Attractor-merging Crises and Intermittency in Reservoir Computing
- Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations
- HSS-IAD: A Heterogeneous Same-Sort Industrial Anomaly Detection Dataset
- Data-efficient LLM Fine-tuning for Code Generation
- SOPHY: Learning to Generate Simulation-Ready Objects with Physical Materials
- Cluster weighted models with multivariate skewed distributions for functional data
- Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm
- Physics Informed Constrained Learning of Dynamics from Static Data
- Statistical post-processing yields accurate probabilistic forecasts from Artificial Intelligence weather models
- Predicting Driver's Perceived Risk: a Model Based on Semi-Supervised Learning Strategy
- The Paradox of Professional Input: How Expert Collaboration with AI Systems Shapes Their Future Value
- AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification
- Feature selection based on cluster assumption in PU learning
- Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
- RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding
- SOLAR: Towards Characterizing Subjectivity of Individuals through Modeling Value Conflicts and Trade-offs
- Uncertainty Quantification in Graph Neural Networks with Shallow Ensembles
- Spectral Algorithms under Covariate Shift
- SAM-Based Building Change Detection with Distribution-Aware Fourier Adaptation and Edge-Constrained Warping
- Bayesian Multivariate Density-Density Regression
- Chronology of Multi-Agent Interactions for Provenance of Evolving Information
- Machine Learning Methods for Gene Regulatory Network Inference
- Crossing the Human-Robot Embodiment Gap with Sim-to-Real RL using One Human Demonstration
- Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation
- Robo-SGG: Exploiting Layout-Oriented Normalization and Restitution Can Improve Robust Scene Graph Generation
- Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods
- Meta-Dependence in Conditional Independence Testing
- Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer
- Plain Transformers Can be Powerful Graph Learners
- Software Engineering Principles for Fairer Systems: Experiments with GroupCART
- Identifying and Mitigating the Influence of the Prior Distribution in Large Language Models
- ChemKANs for Combustion Chemistry Modeling and Acceleration
- Provable Secure Steganography Based on Adaptive Dynamic Sampling
- Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
- CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework
- Featuremetric benchmarking: Quantum computer benchmarks based on circuit features
- Parsimonious Dataset Construction for Laparoscopic Cholecystectomy Structure Segmentation
- Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment
- ZeroSumEval: Scaling LLM Evaluation with Inter-Model Competition
- Kernel Ridge Regression for Efficient Learning of High-Capacity Hopfield Networks
- Fine Flood Forecasts: Incorporating local data into global models through fine-tuning
- Benchmarking LLM-based Relevance Judgment Methods
- Contour Field based Elliptical Shape Prior for the Segment Anything Model
- Privacy-Preserving Operating Room Workflow Analysis using Digital Twins
- Memorization: A Close Look at Books
- Anonymous Public Announcements
- Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice
- Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
- UniPhys: Unified Planner and Controller with Diffusion for Flexible Physics-Based Character Control