Papers
Fri 21 Mar 2025
303 papers
- Enhancing Product Search Interfaces with Sketch-Guided Diffusion and Language AgentsDiffusion models → Image generation, text-to-image and editing
- MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic WorkflowLLM reasoning → Clinical and biomedical applications +1
- Large Language Models Can Verbatim Reproduce Long Malicious SequencesLLM safety and security → Backdoor and data poisoning attacks
- Autonomous Radiotherapy Treatment Planning Using DOLA: A Privacy-Preserving, LLM-Based Optimization AgentLLM agents and tool use → Medical and scientific domain agents
- Audio-Enhanced Vision-Language Modeling with Latent Space Broadening for High Quality Data ExpansionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- MM-UNet: Meta Mamba UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface NetworksDiffusion models → Video generation
- DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology DiagnosisDiffusion models → Medical imaging and segmentation
- Bayesian Teaching Enables Probabilistic Reasoning in Large Language ModelsLLM reasoning → Test-time compute and efficient thinking
- You Only Look Once at Anytime (AnytimeYOLO): Analysis and Optimization of Early-Exits for Object-DetectionEfficient LLM inference and serving → Early exit and edge inference
- ProDehaze: Prompting Diffusion Models Toward Faithful Image DehazingDiffusion models → Inverse problems and image restoration
- LEMMA: Learning from Errors for MatheMatical Advancement in LLMsLLM reasoning → Mathematical reasoning
- TamedPUMA: safe and stable imitation learning with geometric fabricsOffline RL and imitation learning from data → Robot learning from demonstration
- V-Seek: Accelerating LLM Reasoning on Open-hardware Server-class RISC-V PlatformsLLM reasoning → Test-time compute and efficient thinking
- Enhancing Subsequent Video Retrieval via Vision-Language Models (VLMs)Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Dancing with Critiques: Enhancing LLM Reasoning with Stepwise Natural Language Self-CritiqueLLM reasoning → Test-time compute and efficient thinking
- Gumbel-Softmax Flow Matching with Straight-Through Guidance for Controllable Biological Sequence GenerationDiffusion models → Flow matching, time series and science
- OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL CyclesLLM reasoning → Multimodal reasoning +1
- Decouple and Track: Benchmarking and Improving Video Diffusion Transformers for Motion TransferDiffusion models → Video generation
- Beyond Semantics: Rediscovering Spatial Awareness in Vision-Language ModelsLLM reasoning → Spatial and embodied reasoning +1
- Dereflection Any Image with Diffusion Priors and Diversified DataDiffusion models → Inverse problems and image restoration
- Capturing Individual Human Preferences with Reward FeaturesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
- Preference-Guided Diffusion for Multi-Objective Offline OptimizationDiffusion models → Diffusion foundations and sampling
- FastCuRL: Curriculum Reinforcement Learning with Stage-wise Context Scaling for Efficient Training R1-like Reasoning ModelsLLM reasoning → Reinforcement learning for reasoning
- Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Deep End-to-End Posterior ENergy (DEEPEN) for image recoveryDiffusion models → Inverse problems and image restoration
- SafeMERGE: Preserving Safety Alignment in Fine-Tuned Large Language Models via Selective Layer-Wise Model MergingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Slide-Level Prompt Learning with Vision Language Models for Few-Shot Multiple Instance Learning in HistopathologyMultimodal LLMs / vision-language models → Medical vision-language models
- DDB: Diffusion Driven Balancing to Address Spurious CorrelationsDiffusion models → Image generation, text-to-image and editing
- UniCon: Unidirectional Information Flow for Effective Control of Large-Scale Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Jailbreaking the Non-Transferable Barrier via Test-Time Data DisguisingLLM safety and security → Jailbreaking
- Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword RationalizationLLM reasoning → Reasoning benchmarks and evaluation
- Modifying Large Language Model Post-Training for Diverse Creative WritingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image RetrievalWorld models → Video-generation world models and simulators
- R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion ModelDiffusion models → 3D, point cloud and scene generation
- Deterministic AI Agent Personality Expression through Standard Psychological DiagnosticsLLM agents and tool use → Social simulation and multi-agent debate
- DIDiffGes: Decoupled Semi-Implicit Diffusion Models for Real-time Gesture Generation from SpeechDiffusion models → Audio, speech and music
- Developing Critical Thinking in Second Language Learners: Exploring Generative AI like ChatGPT as a Tool for Argumentative Essay WritingLLM reasoning → Reasoning benchmarks and evaluation
- A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World ApplicationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Enabling Versatile Controls for Video Diffusion ModelsDiffusion models → Video generation
- VQToken: Neural Discrete Token Representation Learning for Extreme Token Reduction in Video Large Language ModelsEfficient LLM inference and serving → Visual token pruning in multimodal models
- Real-Time Diffusion Policies for Games: Enhancing Consistency Policies with Q-EnsemblesDiffusion models → Diffusion and flow policies for robotics
- ARFlow: Human Action-Reaction Flow Matching with Physical GuidanceDiffusion models → Diffusion and flow policies for robotics
- Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement LearningLLM reasoning → Multimodal reasoning +1
- PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion ModelDiffusion models → Diffusion and flow policies for robotics
- TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPODiffusion models → Diffusion and flow policies for robotics +1
- Malliavin Calculus for Score-based Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- MAPS: Multi-Agent Personality Shaping for Collaborative ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt OptimizationLLM reasoning → Reasoning for agents, planning and code +1
- ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and AnsweringLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- MTBench: A Multimodal Time Series Benchmark for Temporal Reasoning and Question AnsweringLLM reasoning → Time series reasoning
- MMCR: Benchmarking Cross-Source Reasoning in Scientific PapersLLM reasoning → Multimodal reasoning
- Interpretable LLM Guardrails via Sparse Representation SteeringLLM safety and security → Safety alignment, refusal and guardrails
- LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Safe and Reliable Diffusion Models via Subspace ProjectionDiffusion models → Robustness, privacy and adversarial aspects
- When Tom Eats Kimchi: Evaluating Cultural Bias of Multimodal Large Language Models in Cultural Mixture ContextsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Belief Entrenchment to Robust Reasoning in LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
- DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile ManipulationWorld models → Embodied and robot world models
- BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile ManipulationOffline RL and imitation learning from data → Robot manipulation imitation learning
- Does Chain-of-Thought Reasoning Help Mobile GUI Agent? An Empirical StudyLLM reasoning → Multimodal reasoning +2
- Chain-of-Tools: Utilizing Massive Unseen Tools in the CoT Reasoning of Frozen Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
- OpenCity3D: What do Vision-Language Models know about Urban Environments?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Towards Balancing Preference and Performance through Adaptive Personalized Explainability
- Different Paths, Same Destination: Designing New Physics-Inspired Dynamical Systems with Engineered Stability to Minimize the Ising Hamiltonian
- Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning
- End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills
- Architecture of Information
- Can Zero-Shot Commercial APIs Deliver Regulatory-Grade Clinical Text DeIdentification?
- Time-optimal neural feedback control of nilpotent systems as a binary classification problem
- Leveraging Human Production-Interpretation Asymmetries to Test LLM Cognitive Plausibility
- Measuring the Robustness of Audio Deepfake Detection under Real-World Corruption
- Is there anything left? Measuring semantic residuals of objects removed from 3D Gaussian Splatting
- Optimizing 2D+1 Packing in Constrained Environments Using Deep Reinforcement Learning
- Fairness-Driven LLM-based Causal Discovery with Active Learning and Dynamic Scoring
- ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology
- Principal Component Analysis When n < p: Challenges and Solutions
- Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
- Learning Multi-Level Features with Matryoshka Sparse Autoencoders
- Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures
- PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning
- Echo-E3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation
- A Statistical Theory of Contrastive Learning via Approximate Sufficient Statistics
- MetaSel: A Test Selection Approach for Fine-tuned DNN Models
- FMDConv: Fast Multi-Attention Dynamic Convolution via Speed-Accuracy Trade-off
- Beyond the Encoder: Joint Encoder-Decoder Contrastive Pre-Training Improves Dense Prediction
- A Predictive Services Architecture for Efficient Airspace Operations
- Language Models May Verbatim Complete Text They Were Not Explicitly Trained On
- Improving Quantization with Post-Training Model Expansion
- Follow-up Question Generation For Enhanced Patient-Provider Conversations
- Geometry adaptive waveformer for cardio-vascular modeling
- Towards Understanding the Benefits of Neural Network Parameterizations in Geophysical Inversions: A Study With Neural Fields
- Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets
- Variance Control via Weight Rescaling in LLM Pre-training
- Event-Based Crossing Dataset (EBCD)
- Efficient Knowledge Distillation via Curriculum Extraction
- Meme Similarity and Emotion Detection using Multimodal Analysis
All 303
- Splat-LOAM: Gaussian Splatting LiDAR Odometry and Mapping
- Judge Anything: MLLM as a Judge Across Any Modality
- ProtoGS: Efficient and High-Quality Rendering with 3D Gaussian Prototypes
- SaudiCulture: A Benchmark for Evaluating Large Language Models Cultural Competence within Saudi Arabia
- What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models
- Your voice is your voice: Supporting Self-expression through Speech Generation and LLMs in Augmented and Alternative Communication
- Bayesian generative models can flag performance loss, bias, and out-of-distribution image content
- Spatiotemporal Learning with Context-aware Video Tubelets for Ultrasound Video Analysis
- OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters
- High Efficiency Wiener Filter-based Point Cloud Quality Enhancement for MPEG G-PCC
- ConvoGen: Enhancing Conversational AI with Synthetic Data: A Multi-Agent Approach
- Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
- Collaborative Value Function Estimation Under Model Mismatch: A Federated Temporal Difference Analysis
- Feature-Based Dual Visual Feature Extraction Model for Compound Multimodal Emotion Recognition
- CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series
- From Text to Talent: A Pipeline for Extracting Insights from Candidate Profiles
- On-Device Federated Continual Learning on RISC-V-based Ultra-Low-Power SoC for Intelligent Nano-Drone Swarms
- Multi-timescale time encoding for CNN prediction of Fenna-Matthews-Olson energy-transfer dynamics
- 3D variational autoencoder for fingerprinting microstructure volume elements
- Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
- Beyond Negation Detection: Comprehensive Assertion Detection Models for Clinical NLP
- Data to Decisions: A Computational Framework to Identify skill requirements from Advertorial Data
- Understanding Social Support Needs in Questions: A Hybrid Approach Integrating Semi-Supervised Learning and LLM-based Data Augmentation
- Generative Modeling of Class Probability for Multi-Modal Representation Learning
- Debugging and Runtime Analysis of Neural Networks with VLMs (A Case Study)
- Opportunities and Challenges of Frontier Data Governance With Synthetic Data
- Position: Interactive Generative Video as Next-Generation Game Engine
- Image as an IMU: Estimating Camera Motion from a Single Motion-Blurred Image
- Glivenko-Cantelli for f-divergence
- HCAST: Human-Calibrated Autonomy Software Tasks
- NdLinear: Preserving Multi-Dimensional Structure for Parameter-Efficient Neural Networks
- Time-Series U-Net with Recurrence for Noise-Robust Imaging Photoplethysmography
- Align Your Rhythm: Generating Highly Aligned Dance Poses with Gating-Enhanced Rhythm-Aware Feature Representation
- Can AI expose tax loopholes? Towards a new generation of legal policy assistants
- Efficient Intent-Based Filtering for Multi-Party Conversations Using Knowledge Distillation from LLMs
- A Topological Data Analysis Framework for Quantifying Necrosis in Glioblastomas
- Predicting Potential Customer Support Needs and Optimizing Search Ranking in a Two-Sided Marketplace
- Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors
- LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition Language
- On Quantum Perceptron Learning via Quantum Search
- Variational Tail Bounds for Norms of Random Vectors and Matrices
- Calibration Strategies for Robust Causal Estimation: Theoretical and Empirical Insights on Propensity Score-Based Estimators
- 3D Neural Operator-Based Flow Surrogates around 3D geometries: Signed Distance Functions and Derivative Constraints
- Exploring a Principled Framework for Deep Subspace Clustering
- Offline Model-Based Optimization: Comprehensive Review
- An Iterative Feedback Mechanism for Improving Natural Language Class Descriptions in Open-Vocabulary Object Detection
- CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement
- HyperNVD: Accelerating Neural Video Decomposition via Hypernetworks
- Vision Transformer Based Semantic Communications for Next Generation Wireless Networks
- Revisiting End-To-End Sparse Autoencoder Training: A Short Finetune Is All You Need
- Recovering Pulse Waves from Video Using Deep Unrolling and Deep Equilibrium Models
- Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment
- Learning to Solve Related Linear Systems
- Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras
- Integrated Subset Selection and Bandwidth Estimation Algorithm for Geographically Weighted Regression
- On Privately Estimating a Single Parameter
- Breaking the Symmetries of Indistinguishable Objects
- KL3M Tokenizers: A Family of Domain-Specific and Character-Level Tokenizers for Legal, Financial, and Preprocessing Applications
- Strong Baseline: Multi-UAV Tracking via YOLOv12 with BoT-SORT-ReID
- LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
- FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
- Neuro-Symbolic Scene Graph Conditioning for Synthetic Image Dataset Generation
- Automating Adjudication of Cardiovascular Events Using Large Language Models
- ML-Based Bidding Price Prediction for Pay-As-Bid Ancillary Services Markets: A Use Case in the German Control Reserve Market
- PP-DocLayout: A Unified Document Layout Detection Model to Accelerate Large-Scale Data Construction
- A Deep Learning Framework for Visual Attention Prediction and Analysis of News Interfaces
- A Language Anchor-Guided Method for Robust Noisy Domain Generalization
- FreeUV: Ground-Truth-Free Realistic Facial UV Texture Recovery via Cross-Assembly Inference Strategy
- TreeSynth: Synthesizing Diverse Data from Scratch via Tree-Guided Subspace Partitioning
- Curriculum RL meets Monte Carlo Planning: Optimization of a Real World Container Management Problem
- MSCA-Net:Multi-Scale Context Aggregation Network for Infrared Small Target Detection
- D2Fusion: Dual-domain Fusion with Feature Superposition for Deepfake Detection
- Radar-Guided Polynomial Fitting for Metric Depth Estimation
- A Study of LLMs' Preferences for Libraries and Programming Languages
- Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection
- Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability
- Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
- Generative adversarial framework to calibrate excursion set models for the 3D morphology of all-solid-state battery cathodes
- Hi-ALPS -- An Experimental Robustness Quantification of Six LiDAR-based Object Detection Systems for Autonomous Driving
- DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks
- CoRLD: Contrastive Representation Learning Of Deformable Shapes In Images
- D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens
- Enhancing Steering Estimation with Semantic-Aware GNNs
- HiFi-Stream: Streaming Speech Enhancement with Generative Adversarial Networks
- Adiabatic Fine-Tuning of Neural Quantum States Enables Detection of Phase Transitions in Weight Space
- Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction
- Temporal-Guided Spiking Neural Networks for Event-Based Human Action Recognition
- LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning
- R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception
- A New Statistical Model of Star Speckles for Learning to Detect and Characterize Exoplanets in Direct Imaging Observations
- The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding
- Beyond Accuracy: What Matters in Designing Well-Behaved Image Classification Models?
- Exploring Few-Shot Object Detection on Blood Smear Images: A Case Study of Leukocytes and Schistocytes
- GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects
- A Comparative Analysis of Image Descriptors for Histopathological Classification of Gastric Cancer
- Large Language Model Compression via the Nested Activation-Aware Decomposition
- Multi-modal Multi-platform Person Re-Identification: Benchmark and Method
- FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
- ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration
- Understanding-informed Bias Mitigation for Fair CMR Segmentation
- Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection
- Halton Scheduler For Masked Generative Image Transformer
- Zero-Shot Styled Text Image Generation, but Make It Autoregressive
- A Study into Investigating Temporal Robustness of LLMs
- Multi-Span Optical Power Spectrum Evolution Modeling using ML-based Multi-Decoder Attention Framework
- Superpowering Open-Vocabulary Object Detectors for X-ray Vision
- A Thorough Assessment of the Non-IID Data Impact in Federated Learning
- PVChat: Personalized Video Chat with One-Shot Learning
- Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
- Semi-supervised Cervical Segmentation on Ultrasound by A Dual Framework for Neural Networks
- Data-Driven Optimization of EV Charging Station Placement Using Causal Discovery
- Scoring, Remember, and Reference: Catching Camouflaged Objects in Videos
- HAPI: A Model for Learning Robot Facial Expressions from Human Preferences
- ExCap3D: Expressive 3D Scene Understanding via Object Captioning with Varying Detail
- Evaluating the Evaluator: Summarization Metrics and LLM-Judges beyond English
- Unitless Unrestricted Markov-Consistent SCM Generation: Better Benchmark Datasets for Causal Discovery
- An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation
- TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting
- Exploring the Efficacy of Partial Denoising Using Bit Plane Slicing for Enhanced Fracture Identification: A Comparative Study of Deep Learning-Based Approaches and Handcrafted Feature Extraction Techniques
- AnimatePainter: A Self-Supervised Rendering Framework for Reconstructing Painting Process
- RAW-Adapter: Adapting Pre-trained Visual Model to Camera RAW Images and A Benchmark
- A Guide to Bayesian Networks Software Packages for Structure and Parameter Learning -- 2025 Edition
- A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets
- Benign Overfitting with Quantum Kernels
- Symbolic Audio Classification via Modal Decision Tree Learning
- Specifying What You Know or Not for Multi-Label Class-Incremental Learning
- Do regularization methods for shortcut mitigation work as intended?
- Text2Model: Generating dynamic chemical reactor models using large language models (LLMs)
- Targetless 6DoF Calibration of LiDAR and 2D Scanning Radar Based on Cylindrical Occupancy
- Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
- TRACE: Time SeRies PArameter EffiCient FinE-tuning
- High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation
- Instant Gaussian Stream: Fast and Generalizable Streaming of Dynamic Scene Reconstruction via Gaussian Splatting
- GeoT: Geometry-guided Instance-dependent Transition Matrix for Semi-supervised Tooth Point Cloud Segmentation
- EasyRobust: A Comprehensive and Easy-to-use Toolkit for Robust and Generalized Vision
- Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks
- Distilling Monocular Foundation Model for Fine-grained Depth Completion
- DroneSplat: 3D Gaussian Splatting for Robust 3D Reconstruction from In-the-Wild Drone Imagery
- Center-guided Classifier for Semantic Segmentation of Remote Sensing Images
- Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest
- From Faces to Voices: Learning Hierarchical Representations for High-quality Video-to-Speech
- Neural-Guided Equation Discovery
- Follow-Your-Color: Multi-Instance Sketch Colorization
- HyperLoRA: Parameter-Efficient Adaptive Generation for Portrait Synthesis
- Model-free front-to-end training of a large high performance laser neural network
- SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
- On-Sensor Convolutional Neural Networks with Early-Exits
- Interpretable Machine Learning for Oral Lesion Diagnosis through Prototypical Instances Identification
- Rude Humans and Vengeful Robots: Examining Human Perceptions of Robot Retaliatory Intentions in Professional Settings
- Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks
- MerGen: Micro-electrode recording synthesis using a generative data-driven approach
- Optimized Minimal 3D Gaussian Splatting
- RustEvo^2: An Evolving Benchmark for API Evolution in LLM-based Rust Code Generation
- Temporal Action Detection Model Compression by Progressive Block Drop
- A New Segment Routing method with Swap Node Selection Strategy Based on Deep Reinforcement Learning for Software Defined Network
- Salient Object Detection in Traffic Scene through the TSOD10K Dataset
- Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
- TeMP-TraG: Edge-based Temporal Message Passing in Transaction Graphs
- Improving the End-to-End Efficiency of Offline Inference for Multi-LLM Applications Based on Sampling and Simulation
- Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings
- Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation
- Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification
- Lie Detector: Unified Backdoor Detection via Cross-Examination Framework
- Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMs
- Joint Extraction Matters: Prompt-Based Visual Question Answering for Multi-Field Document Information Extraction
- Nonparametric Factor Analysis and Beyond
- Improving Acoustic Scene Classification with City Features
- In-House Evaluation Is Not Enough: Towards Robust Third-Party Flaw Disclosure for General-Purpose AI
- PRIOT: Pruning-Based Integer-Only Transfer Learning for Embedded Systems
- Stack Transformer Based Spatial-Temporal Attention Model for Dynamic Sign Language and Fingerspelling Recognition
- Generative Compositor for Few-Shot Visual Information Extraction
- Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models
- Casual Inference via Style Bias Deconfounding for Domain Generalization
- Physics-Informed Neural Network Surrogate Models for River Stage Prediction
- HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation
- An Efficient Alternating Algorithm for ReLU-based Symmetric Matrix Decomposition
- Downstream Analysis of Foundational Medical Vision Models for Disease Progression
- Preferential Multi-Objective Bayesian Optimization for Drug Discovery
- A Flexible Fairness Framework with Surrogate Loss Reweighting for Addressing Sociodemographic Disparities
- The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege
- Joint Self-Supervised Video Alignment and Action Segmentation
- SGFormer: Satellite-Ground Fusion for 3D Semantic Scene Completion
- RigGS: Rigging of 3D Gaussians for Modeling Articulated Objects in Videos
- Depth-Aided Color Image Inpainting in Quaternion Domain
- PH2ST:ST-Prompt Guided Histological Hypergraph Learning for Spatial Gene Expression Prediction
- Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision
- Online Selective Conformal Prediction: Errors and Solutions
- Auto-Regressive Diffusion for Generating 3D Human-Object Interactions
- Causally Aligned Curriculum Learning
- A Learnability Analysis on Neuro-Symbolic Learning
- DCEdit: Dual-Level Controlled Image Editing via Precisely Localized Semantics
- Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
- "The Diagram is like Guardrails": Structuring GenAI-assisted Hypotheses Exploration with an Interactive Shared Representation
- Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation
- Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
- A-IDE : Agent-Integrated Denoising Experts
- Physics-Informed Deep B-Spline Networks
- Region Masking to Accelerate Video Processing on Neuromorphic Hardware
- Enabling Global, Human-Centered Explanations for LLMs:From Tokens to Interpretable Code and Test Generation
- Dynamic Attention Mechanism in Spatiotemporal Memory Networks for Object Tracking
- Rethinking the Role of Spatial Mixing
- elaTCSF: A Temporal Contrast Sensitivity Function for Flicker Detection and Modeling Variable Refresh Rate Flicker
- Fast online node labeling with graph subsampling