Papers
Tue 25 Mar 2025
340 papers
- Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object IntegrationLLM reasoning → Multimodal reasoning
- Why Representation Engineering Works: A Theoretical and Empirical Study in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- LLM-based Agent Simulation for Maternal Health Interventions: Uncertainty Estimation and Decision-focused EvaluationLLM agents and tool use → Social simulation and multi-agent debate
- LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System AnalysisLLM agents and tool use → Multimodal and embodied agents
- IPGO: Indirect Prompt Gradient Optimization for Parameter-Efficient Prompt-level Fine-Tuning on Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
- LERO: LLM-driven Evolutionary framework with Hybrid Rewards and Enhanced Observation for Multi-Agent Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
- Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training DemonstrationsLLM agents and tool use → Reinforcement learning for LLM agents +1
- Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought DisorderLLM reasoning → Hallucination detection and mitigation
- Can Multi-modal (reasoning) LLMs work as deepfake detectors?LLM reasoning → Multimodal reasoning +1
- Universal Cross-Tokenizer Distillation via Approximate Likelihood MatchingKnowledge distillation → Knowledge distillation for LLMs
- Abstracting Geo-specific Terrains to Scale Up Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
- Poor Alignment and Steerability of Large Language Models: Evidence from College Admission EssaysLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models
- Agents in the Sandbox: End-to-End Crash Bug Reproduction for MinecraftLLM agents and tool use → Software engineering coding agents
- OmniNova:A General Multimodal Agent FrameworkLLM agents and tool use → General LLM agent frameworks and benchmarks
- Gemini Robotics: Bringing AI into the Physical WorldMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?LLM reasoning → Spatial and embodied reasoning
- ExCoT: Optimizing Reasoning for Text-to-SQL with Execution FeedbackLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Audio-centric Video Understanding Benchmark without Text ShortcutMultimodal LLMs / vision-language models → Video understanding with MLLMs
- LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy PreservationEfficient LLM inference and serving → KV cache quantization
- Test-Time Reasoning Through Visual Human Preferences with VLMs and Soft RewardsLLM reasoning → Multimodal reasoning +2
- VisualQuest: A Benchmark for Abstract Visual Reasoning in MLLMsLLM reasoning → Multimodal reasoning +1
- Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction ModelWorld models → Latent predictive world models
- AvatarArtist: Open-Domain 4D AvatarizationDiffusion models → 3D, point cloud and scene generation
- ICE: Intrinsic Concept Extraction from a Single Image via Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- CAFe: Unifying Representation and Generation with Contrastive-Autoregressive FinetuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Scaling Down Text Encoders of Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- A Multi-Agent Framework Integrating Large Language Models and Generative AI for Accelerated Metamaterial DesignLLM agents and tool use → Medical and scientific domain agents
- Mask2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video GenerationDiffusion models → Video generation
- CausalRAG: Integrating Causal Graphs into Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Scaling Evaluation-time Compute with Reasoning Models as EvaluatorsLLM reasoning → Test-time compute and efficient thinking
- Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time ThinkingLLM reasoning → Test-time compute and efficient thinking
- FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language ModelMultimodal LLMs / vision-language models → Image editing and quality assessment +1
- AudCast: Audio-Driven Human Video Generation by Cascaded Diffusion TransformersDiffusion models → Audio, speech and music
- Unpaired Object-Level SAR-to-Optical Image Translation for Aircraft with Keypoints-Guided Diffusion ModelsDiffusion models → Inverse problems and image restoration
- PAVE: Patching and Adapting Video Large Language ModelsLLM reasoning → Multimodal reasoning
- Fine-Grained Erasure in Text-to-Image Diffusion-based Foundation ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text PromptsMixture-of-experts → Medical and biomedical MoE
- Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action PolicyVision-language-action models → Efficient VLA inference and adaptation +1
- ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action GenerationLLM reasoning → Chain-of-thought reasoning for driving +1
- Inducing Personality in LLM-Based Honeypot Agents: Measuring the Effect on Human-Like Agenda GenerationLLM agents and tool use → Social simulation and multi-agent debate
- PCM : Picard Consistency Model for Fast Parallel Sampling of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video ReconstructionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Semi-SMD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
- Writing as a testbed for open ended agentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through IntersectionEnd-to-end autonomous driving → Reinforcement learning for driving +1
- fine-CLIP: Enhancing Zero-Shot Fine-Grained Surgical Action Recognition with Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- CoSimGen: Controllable Diffusion Model for Simultaneous Image and Mask GenerationDiffusion models → Image generation, text-to-image and editing
- RGB-Th-Bench: A Dense benchmark for Visual-Thermal Understanding of Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Show or Tell? Effectively prompting Vision-Language Models for semantic segmentationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- 1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model TrainingLLM reasoning → Reasoning benchmarks and evaluation +1
- Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and MitigationLLM reasoning → Hallucination detection and mitigation +1
- Enabling Rapid Shared Human-AI Mental Model Alignment via the After-Action ReviewLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Innate Reasoning is Not Enough: In-Context Learning Enhances Reasoning Large Language Models with Less OverthinkingLLM reasoning → Prompting and chain-of-thought reasoning
- HoarePrompt: Structural Reasoning About Program Correctness in Natural LanguageLLM reasoning → Reasoning for agents, planning and code
- Prompt-Guided Dual-Path UNet with Mamba for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Scaling Laws of Synthetic Data for Language ModelsSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Agent-Initiated Interaction in Phone UI AutomationLLM agents and tool use → GUI and mobile agents
- One Framework to Rule Them All: Unifying RL-Based and RL-Free Methods in RLHFLLM reasoning → Reinforcement learning for reasoning +1
- Boosting Robotic Manipulation Generalization with Minimal Costly DataVision-language-action models → Generalist VLA models and benchmarks
- RoboFlamingo-Plus: Fusion of Depth and RGB Perception with Vision-Language Models for Enhanced Robotic ManipulationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Improved Alignment of Modalities in Large Vision Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Single-Step Latent Consistency Model for Remote Sensing Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific ChartsLLM reasoning → Multimodal reasoning +1
- ReSearch: Learning to Reason with Search for LLMs via Reinforcement LearningLLM reasoning → Knowledge- and tool-augmented reasoning
- AccVideo: Accelerating Video Diffusion Model with Synthetic DatasetDiffusion models → Video generation
- SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative PriorsDiffusion models → 3D, point cloud and scene generation
- Towards Robust Time-of-Flight Depth Denoising with Confidence-Aware Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Quantifying the Ease of Reproducing Training Data in Unconditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ASP-VMUNet: Atrous Shifted Parallel Vision Mamba U-Net for Skin Lesion SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Multi-Agent Deep Reinforcement Learning for Safe Autonomous Driving with RICS-Assisted MECEnd-to-end autonomous driving → Cooperative and V2X driving
- M2CD: A Unified MultiModal Framework for Optical-SAR Change Detection with Mixture of Experts and Self-DistillationKnowledge distillation → Detection and dense prediction distillation
- LangBridge: Interpreting Image as a Combination of Language EmbeddingsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Exploring Textual Semantics Diversity for Image Transmission in Semantic Communication Systems using Visual Language ModelMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Inference-Time Scaling for Flow Models via Stochastic Generation and Rollover Budget ForcingLLM reasoning → Diffusion reasoning and test-time scaling +1
- DeClotH: Decomposable 3D Cloth and Human Body Reconstruction from a Single ImageDiffusion models → 3D, point cloud and scene generation
- Flow to Learn: Flow Matching on Neural Network ParametersDiffusion models → Flow matching, time series and science
- EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion ModelsDiffusion models → Video generation
- Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly DetectionDiffusion models → Flow matching, time series and science
- Can Vision-Language Models Answer Face to Face Questions in the Real-World?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- ST-VLM: Kinematic Instruction Tuning for Spatio-Temporal Reasoning in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Data-driven Mesoscale Weather Forecasting Combining Swin-Unet and Diffusion ModelsDiffusion models → Flow matching, time series and science
- BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan ReconstructionDiffusion models → 3D, point cloud and scene generation
- Membership Inference Attacks on Large-Scale Models: A SurveyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Process or Result? Manipulated Ending Tokens Can Mislead Reasoning LLMs to Ignore the Correct Reasoning StepsLLM reasoning → Reasoning for agents, planning and code
- RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning
- DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for AlignmentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- A Comprehensive Analysis of Mamba for 3D Volumetric Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color ConsistencyDiffusion models → Image generation, text-to-image and editing
- CubeRobot: Grounding Language in Rubik's Cube Manipulation via Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MARS: Memory-Enhanced Agents with Reflective Self-improvementLLM agents and tool use → Agent memory systems +1
- NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic ScenariosOffline RL and imitation learning from data → Offline RL algorithms
- DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking TuningLLM reasoning → Multimodal reasoning
- Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image DehazingDiffusion models → Inverse problems and image restoration
- MIRAGE: Multi-model Interface for Reviewing and Auditing Generative Text-to-Image AILLM safety and security → Vision-language and text-to-image safety
All 340
- Bridging the Sim-to-real Gap: A Control Framework for Imitation Learning of Model Predictive ControlOffline RL and imitation learning from data → Imitation learning methods
- GPT Meets Graphs and KAN Splines: Testing Novel Frameworks on Multitask Fine-Tuned GPT-2 with LoRA
- Reservoir Computing with a Single Oscillating Gas Bubble: Emphasizing the Chaotic Regime
- RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation
- Hierarchical Attention Network for Interpretable ECG-based Heart Disease Classification
- Chemistry-aware battery degradation prediction under simulated real-world cyclic protocols
- SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception
- Enhancing Clinical Decision-Making: Integrating Multi-Agent Systems with Ethical AI Governance
- Mapping Technological Futures: Anticipatory Discourse Through Text Mining
- Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons
- Tensor Generalized Approximate Message Passing
- Hierarchical Adaptive Expert for Multimodal Sentiment Analysis
- TRIDIS: A Comprehensive Medieval and Early Modern Corpus for HTR and NER
- Unsupervised Ordering for Maximum Clique
- OAEI-LLM-T: A TBox Benchmark Dataset for Understanding Large Language Model Hallucinations in Ontology Matching
- Taxonomy Inference for Tabular Data Using Large Language Models
- Enhancing Predictive Accuracy in Tennis: Integrating Fuzzy Logic and CV-GRNN for Dynamic Match Outcome and Player Momentum Analysis
- Large Language Models Meet Contrastive Learning: Zero-Shot Emotion Recognition Across Languages
- ImF: Implicit Fingerprint for Large Language Models
- Comparison of Metadata Representation Models for Knowledge Graph Embeddings
- Forecasting Volcanic Radiative Power (VPR) at Fuego Volcano Using Bayesian Regularized Neural Network
- Structured and sparse partial least squares coherence for multivariate cortico-muscular analysis
- CoMapGS: Covisibility Map-based Gaussian Splatting for Sparse Novel View Synthesis
- Dynamic Allocation Hypernetwork with Adaptive Model Recalibration for Federated Continual Learning
- MindfulLIME: A Stable Solution for Explanations of Machine Learning Models with Enhanced Localization Precision -- A Medical Image Case Study
- Zero-Shot Human-Object Interaction Synthesis with Multimodal Priors
- Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable
- Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data
- Efficient Model Development through Fine-tuning Transfer
- Peepers & Pixels: Human Recognition Accuracy on Low Resolution Faces
- "Is There Anything Else?'': Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test
- Extendable Planning via Multiscale Diffusion
- EBS-EKF: Accurate and High Frequency Event-based Star Tracking
- AI Identity, Empowerment, and Mindfulness in Mitigating Unethical AI Use
- Fundamental Limits of Perfect Concept Erasure
- Generative Linguistics, Large Language Models, and the Social Nature of Scientific Success
- Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
- Peer Disambiguation in Self-Reported Surveys using Graph Attention Networks
- Adaptive Orchestration for Large-Scale Inference on Heterogeneous Accelerator Systems Balancing Cost, Performance, and Resilience
- iNatAg: Multi-Class Classification Models Enabled by a Large-Scale Benchmark Dataset with 4.7M Images of 2,959 Crop and Weed Species
- Learning Scene-Level Signed Directional Distance Function with Ellipsoidal Priors and Neural Residuals
- Deep Learning Approaches for Blood Disease Diagnosis Across Hematopoietic Lineages
- A scalable gene network model of regulatory dynamics in single cells
- Experience Replay Addresses Loss of Plasticity in Continual Learning
- Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
- Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair
- Unsupervised Learning for Quadratic Assignment
- The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs
- SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image Pretraining
- Untangling the Influence of Typology, Data and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging
- Thin-Shell-SfT: Fine-Grained Monocular Non-rigid 3D Surface Tracking with Neural Deformation Fields
- Self-Supervised Learning of Motion Concepts by Optimizing Counterfactuals
- Automated Video-EEG Analysis in Epilepsy Studies: Advances and Challenges
- Vanishing Depth: Training Generalized Depth Adapters with Sinusoidal Depth Preprocessing for Pretrained RGB Encoders
- Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification
- A Spatiotemporal Radar-Based Precipitation Model for Water Level Prediction and Flood Forecasting
- A stochastic gradient descent algorithm with random search directions
- Body Discovery of Embodied AI
- FuXi-RTM: A Physics-Guided Prediction Framework with Radiative Transfer Modeling
- Continual Learning With Quasi-Newton Methods
- Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation
- EventFly: Event Camera Perception from Ground to the Sky
- Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining
- CoLLM: A Large Language Model for Composed Image Retrieval
- FullDiT: Multi-Task Video Generative Foundation Model with Full Attention
- Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better
- Scaling Vision Pre-Training to 4K Resolution
- TokenHSI: Unified Synthesis of Physical Human-Scene Interactions through Task Tokenization
- Visuo-Tactile Object Pose Estimation for a Multi-Finger Robot Hand with Low-Resolution In-Hand Tactile Sensing
- AI threats to national security can be countered through an incident regime
- RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning
- Dynamics of Structured Complex-Valued Hopfield Neural Networks
- Extensions of the regret-minimization algorithm for optimal design
- Identification of Average Treatment Effects in Nonparametric Panel Models
- GENIUS: A Generative Framework for Universal Multimodal Search
- Geometric Meta-Learning via Coupled Ricci Flow: Unifying Knowledge Representation and Quantum Entanglement
- Unpaired Translation of Chest X-ray Images for Lung Opacity Diagnosis via Adaptive Activation Masks and Cross-Domain Alignment
- An Overview of Low-Rank Structures in the Training and Adaptation of Large Models
- Capacity-Constrained Online Learning with Delays: Scheduling Frameworks and Regret Trade-offs
- Towards Online Multi-Modal Social Interaction Understanding
- Guarding against artificial intelligence--hallucinated citations: the case for full-text reference deposit
- Ab-initio simulation of excited-state potential energy surfaces with transferable deep quantum Monte Carlo
- Attention IoU: Examining Biases in CelebA using Attention Maps
- A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950
- Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy
- GyralNet Subnetwork Partitioning via Differentiable Spectral Modularity Optimization
- IgCraft: A versatile sequence generation framework for antibody discovery and engineering
- A Systematic Review of EEG-based Machine Intelligence Algorithms for Depression Diagnosis, and Monitoring
- Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning
- Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
- Thinking agents for zero-shot generalization to qualitatively novel tasks
- Guidelines For The Choice Of The Baseline in XAI Attribution Methods
- Simulating Tracking Data to Advance Sports Analytics Research
- LENVIZ: A High-Resolution Low-Exposure Night Vision Benchmark Dataset
- SeLIP: Similarity Enhanced Contrastive Language Image Pretraining for Multi-modal Head MRI
- SemEval-2025 Task 9: The Food Hazard Detection Challenge
- In the Blink of an Eye: Instant Game Map Editing using a Generative-AI Smart Brush
- SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
- Gemma 3 Technical Report
- PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch
- LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation
- Resilient Sensor Fusion under Adverse Sensor Failures via Multi-Modal Expert Fusion
- OpenLex3D: A Tiered Evaluation Benchmark for Open-Vocabulary 3D Scene Representations
- Interpretable Deep Regression Models with Interval-Censored Failure Time Data
- Splitting Answer Set Programs with respect to Intensionality Statements (Extended Version)
- A Survey on Event-driven 3D Reconstruction: Development under Different Categories
- LEMON: A Large Endoscopic MONocular Dataset and Foundation Model for Perception in Surgical Settings
- FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust Fusion
- GRN+: A Simplified Generative Reinforcement Network for Tissue Layer Analysis in 3D Ultrasound Images for Chronic Low-back Pain
- InterSliceBoost: Identifying Tissue Layers in Three-dimensional Ultrasound Images for Chronic Lower Back Pain (cLBP) Assessment
- How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
- CamSAM2: Segment Anything Accurately in Camouflaged Videos
- On What Depends the Robustness of Multi-source Models to Missing Data in Earth Observation?
- Invertible Koopman neural operator for data-driven modeling of partial differential equations
- Rigid-Deformation Decomposition AI Framework for 3D Spatio-Temporal Prediction of Vehicle Collision Dynamics
- Fast localized urban microclimate emulator: wind and temperatures in unseen urban morphologies
- Bootstrap Your Own Views: Masked Ego-Exo Modeling for Fine-grained View-invariant Video Representations
- High-Quality Spatial Reconstruction and Orthoimage Generation Using Efficient 2D Gaussian Splatting
- HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation
- Optimization of MedSAM model based on bounding box adaptive perturbation algorithm
- Optimal Path Planning and Cost Minimization for a Drone Delivery System Via Model Predictive Control
- AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation
- Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
- Deep Learning for Speech Emotion Recognition: A CNN Approach Utilizing Mel Spectrograms
- MultimodalStudio: A Heterogeneous Sensor Dataset and Framework for Neural Rendering across Multiple Imaging Modalities
- A multitask transformer to sign language translation using motion gesture primitives
- Towards Efficient Training of Graph Neural Networks: A Multiscale Approach
- BiblioPage: A Dataset of Scanned Title Pages for Bibliographic Metadata Extraction
- Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
- OpenSDI: Spotting Diffusion-Generated Images in the Open World
- Enhancing Graphical Lasso: A Robust Scheme for Non-Stationary Mean Data
- HausaNLP at SemEval-2025 Task 3: Towards a Fine-Grained Model-Aware Hallucination Detection
- Recover from Horcrux: A Spectrogram Augmentation Method for Cardiac Feature Monitoring from Radar Signal Components
- Exploring Cultural Nuances in Emotion Perception Across 15 African Languages
- An Efficient Data Reuse with Tile-Based Adaptive Stationary for Transformer Accelerators
- Kernel Learning Assisted Synthesis Condition Exploration for Ternary Spinel
- Keyframe-Centric State-Space Modeling for Burst Image Super-Resolution
- Red Teaming with Artificial Intelligence-Driven Cyberattacks: A Scoping Review
- DynOPETs: A Versatile Benchmark for Dynamic Object Pose Estimation and Tracking in Moving Camera Scenarios
- Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems
- Beyond Verifiable Rewards: Scaling Reinforcement Learning for Language Models to Unverifiable Data
- RL-finetuning LLMs from on- and off-policy data with a single algorithm
- Analyzable Chain-of-Musical-Thought Prompting for High-Fidelity Music Generation
- Single Shot AI-assisted quantification of KI-67 proliferation index in breast cancer
- Lean Formalization of Generalization Error Bound by Rademacher Complexity and Dudley's Entropy Integral
- GIViC: Generative Implicit Video Compression
- The Greatest Good Benchmark: Measuring LLMs' Alignment with Utilitarian Moral Dilemmas
- Optimizing Language Models for Inference Time Objectives using Reinforcement Learning
- SACB-Net: Spatial-awareness Convolutions for Medical Image Registration
- Boosting the Transferability of Audio Adversarial Examples with Acoustic Representation Optimization
- Video Anomaly Detection with Contours -- A Study
- Distinct social-linguistic processing between humans and large audio-language models: Evidence from model-brain alignment
- Multi-agent Application System in Office Collaboration Scenarios
- Post-Hoc Calibrated Anomaly Detection
- SINR: Sparsity Driven Compressed Implicit Neural Representations
- Context-Efficient Retrieval with Factual Decomposition
- Improved tissue sodium concentration quantification in breast cancer by reducing partial volume effects: a preliminary study
- FedMM-X: A Trustworthy and Interpretable Framework for Federated Multi-Modal Learning in Dynamic Environments
- Dance Like a Chicken: Low-Rank Stylization for Human Motion Diffusion
- Causal Bayesian Optimization with Unknown Graphs
- Noise Resilient Over-The-Air Federated Learning In Heterogeneous Wireless Networks
- Practical Fine-Tuning of Autoregressive Models on Limited Handwritten Texts
- Tiling artifacts and trade-offs of feature normalization in the segmentation of large biological images
- Scene-agnostic Pose Regression for Visual Localization
- FLEX: A Benchmark for Evaluating Robustness of Fairness in Large Language Models
- VectorFit : Adaptive Singular & Bias Vector Fine-Tuning of Pre-trained Foundation Models
- Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
- Towards Long-Range ENSO Prediction with an Explainable Deep Learning Model
- Pose-Based Fall Detection System: Efficient Monitoring on Standard CPUs
- SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration
- End-to-End Semantic Preservation in Text-Aware Image Compression Systems
- Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage
- KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models
- GenHancer: Imperfect Generative Models are Secretly Strong Vision-Centric Enhancers
- Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction
- TeLL Me what you cant see
- LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
- A-MESS: Anchor based Multimodal Embedding with Semantic Synchronization for Multimodal Intent Recognition
- Enhancing Small Language Models for Cross-Lingual Generalized Zero-Shot Classification with Soft Prompt Tuning
- Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noise
- A Probabilistic Neuro-symbolic Layer for Algebraic Constraint Satisfaction
- GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting
- G-DexGrasp: Generalizable Dexterous Grasping Synthesis Via Part-Aware Prior Retrieval and Prior-Assisted Generation
- Data-centric Federated Graph Learning with Large Language Models
- VecTrans: Enhancing Compiler Auto-Vectorization through LLM-Assisted Code Transformations
- COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
- DeCAP: Context-Adaptive Prompt Generation for Debiasing Zero-shot Question Answering in Large Language Models
- A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
- EmoHead: Emotional Talking Head via Manipulating Semantic Expression Parameters
- A Prototype-Guided Coarse Annotations Refining Approach for Whole Slide Images
- Multi-modal 3D Pose and Shape Estimation with Computed Tomography
- Quantifying Symptom Causality in Clinical Decision Making: An Exploration Using CausaLM
- TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception
- MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
- Causal invariant geographic network representations with feature and structural distribution shifts
- Towards Build Optimization Using Digital Twins
- Social Network User Profiling for Anomaly Detection Based on Graph Neural Networks
- Interpretable Generative Models through Post-hoc Concept Bottlenecks
- VGAT: A Cancer Survival Analysis Framework Transitioning from Generative Visual Question Answering to Genomic Reconstruction
- ImageSet2Text: Describing Sets of Images through Text
- Show and Segment: Universal Medical Image Segmentation via In-Context Learning
- From Sparse to Dense: Camera Relocalization with Scene-Specific Detector from Feature Gaussian Splatting
- QUAD: Quantization and Parameter-Efficient Tuning of LLM with Activation Decomposition
- Multi-Object Sketch Animation by Scene Decomposition and Motion Planning
- Optimal Parameter Adaptation for Safety-Critical Control via Safe Barrier Bayesian Optimization
- Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
- Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
- E-PINNs: Epistemic Physics-Informed Neural Networks
- Divide-and-Conquer: Dual-Hierarchical Optimization for Semantic 4D Gaussian Spatting
- ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning
- MATT-GS: Masked Attention-based 3DGS for Robot Perception and Object Detection
- Wavelet-based Global-Local Interaction Network with Cross-Attention for Multi-View Diabetic Retinopathy Detection
- Substance over Style: Evaluating Proactive Conversational Coaching Agents
- Long-Context Autoregressive Video Modeling with Next-Frame Prediction
- How to optimize K-means?
- Iterative Hypothesis Generation for Scientific Discovery with Monte Carlo Nash Equilibrium Self-Refining Trees
- Analyzing the Synthetic-to-Real Domain Gap in 3D Hand Pose Estimation
- Centroid Decision Forest
- BIMII-Net: Brain-Inspired Multi-Iterative Interactive Network for RGB-T Road Scene Semantic Segmentation
- Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
- UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
- Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval
- Exploring Semantic Feature Discrimination for Perceptual Image Super-Resolution and Opinion-Unaware No-Reference Image Quality Assessment
- Adaptive Wavelet Filters as Practical Texture Feature Amplifiers for Parkinson's Disease Screening in OCT
- No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
- LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs
- Machine-assisted writing evaluation: Exploring pre-trained language models in analyzing argumentative moves
- Multiscale Feature Importance-based Bit Allocation for End-to-End Feature Coding for Machines
- Context-Aware Semantic Segmentation: Enhancing Pixel-Level Understanding with Large Language Models for Advanced Vision Applications
- CoMAC: Conversational Agent for Multi-Source Auxiliary Context with Sparse and Symmetric Latent Interactions
- PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational Phenotyping
- Linguistic Blind Spots of Large Language Models
- Adaptive Multi-Order Graph Regularized NMF with Dual Sparsity for Hyperspectral Unmixing
- SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings
- Data-Driven, ML-assisted Approaches to Problem Well-Posedness
- L2FMamba: Lightweight Light Field Image Super-Resolution with State Space Model
- Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
- Beyond Object Categories: Multi-Attribute Reference Understanding for Visual Grounding
- HoGS: Unified Near and Far Object Reconstruction via Homogeneous Gaussian Splatting
- Face Spoofing Detection using Deep Learning