Papers
Fri 21 Nov 2025
335 papers
- End-to-End Transformer Acceleration Through Processing-in-Memory ArchitecturesEfficient LLM inference and serving → Early exit and edge inference
- EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational AssistantsLLM agents and tool use → Educational agents and math problem solving
- Polarity-Aware Probing for Quantifying Latent Alignment in Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Asking LLMs to Verify First is Almost Free LunchLLM reasoning → Test-time compute and efficient thinking
- HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor GenerationLLM reasoning → Multimodal reasoning
- A Benchmark for Procedural Memory Retrieval in Language AgentsLLM agents and tool use → Agent memory systems
- Beyond Component Strength: Synergistic Integration and Adaptive Calibration in Multi-Agent RAG SystemsRetrieval-augmented generation → Agentic RAG, agents and memory
- Affective Multimodal Agents with Proactive Knowledge Grounding for Emotionally Aligned Marketing DialogueLLM agents and tool use → Social simulation and multi-agent debate
- Personalized Reward Modeling for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Less is More: Data-Efficient Adaptation for Controllable Text-to-Video GenerationDiffusion models → Video generation
- Show Me: Unifying Instructional Image and Video Generation with Diffusion ModelsDiffusion models → Video generation
- Score-Regularized Joint Sampling with Importance Weights for Flow MatchingDiffusion models → Flow matching, time series and science
- Attention Guided Alignment in Efficient Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Target-Bench: Can Video World Models Achieve Mapless Path Planning with Semantic Targets?World models → Embodied and robot world models
- Episodic Memory in Agentic Frameworks: Suggesting Next TasksLLM agents and tool use → Agent memory systems
- Deepfake Geography: Detecting AI-Generated Satellite ImagesDiffusion models → Inverse problems and image restoration
- The Software Engineering Simulations Lab: Agentic AI for RE Quality SimulationsLLM agents and tool use → Software engineering coding agents
- CORA: Consistency-Guided Semi-Supervised Framework for Reasoning SegmentationLLM reasoning → Multimodal reasoning +1
- Diffusion Models are Molecular Dynamics SimulatorsDiffusion models → Diffusion foundations and sampling
- VisReason: A Large-Scale Dataset for Visual Chain-of-Thought ReasoningLLM reasoning → Multimodal reasoning
- M^3-Bench: Multi-Modal, Multi-Hop, Multi-Threaded Tool-Using MLLM Agent BenchmarkLLM agents and tool use → Tool learning and function calling
- Ternary Gamma Semirings as a Novel Algebraic Framework for Learnable Symbolic ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- The Potential and Limitations of Vision-Language Models for Human Motion Understanding: A Case Study in Data-Driven Stroke RehabilitationMultimodal LLMs / vision-language models → Medical vision-language models
- Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based InterventionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Understanding Counting Mechanisms in Large Language and Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Liberating Logic in the Age of AI: Going Beyond Programming with Computational ThinkingLLM reasoning → Reasoning for agents, planning and code
- ARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper GenerationLLM agents and tool use → Web, search, and research agents
- LLM and Agent-Driven Data Analysis: A Systematic Approach for Enterprise Applications and System-level DeploymentLLM agents and tool use → Web, search, and research agents
- Bridging Symbolic Control and Neural Reasoning in LLM Agents -- The Structured Cognitive LoopLLM reasoning → Reasoning for agents, planning and code +1
- Cognitive Inception: Agentic Reasoning against Visual Deceptions by Injecting SkepticismLLM reasoning → Prompting and chain-of-thought reasoning +2
- MURMUR: Using cross-user chatter to break collaborative language agents in groupsLLM agents and tool use → Agent threats, guardrails and governance
- Evaluating Adversarial Vulnerabilities in Modern Large Language ModelsLLM safety and security → Jailbreaking
- RynnVLA-002: A Unified Vision-Language-Action and World ModelWorld models → Embodied and robot world models +1
- EvDiff: Event-Based Video Reconstruction using One-Step Diffusion ModelsDiffusion models → Video generation
- Downscaling Intelligence: Exploring Perception and Reasoning Bottlenecks in Small Multimodal ModelsLLM reasoning → Multimodal reasoning
- Counterfactual World Models via Digital Twin-conditioned Video DiffusionWorld models → Latent predictive world models +1
- Masked-and-Reordered Self-Supervision for Reinforcement Learning from Verifiable RewardsLLM reasoning → Reinforcement learning for reasoning
- MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Beyond Multiple Choice: Verifiable OpenQA for Robust Vision-Language RFTMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Sparse Mixture-of-Experts for Multi-Channel Imaging: Are All Channel Interactions Required?Mixture-of-experts → Vision mixture-of-experts
- MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality AssessmentMixture-of-experts → Multimodal MoE models
- IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial NavigationLLM reasoning → Spatial and embodied reasoning +1
- METIS: Multi-Source Egocentric Training for Integrated Dexterous Vision-Language-Action ModelVision-language-action models → Human-video and latent-action pretraining
- UAM: A Unified Attention-Mamba Backbone of Multimodal Framework for Tumor Cell ClassificationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Robot Confirmation Generation and Action Planning Using Long-context Q-Former Integrated with Multimodal LLMMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Agentifying Agentic AILLM agents and tool use → General LLM agent frameworks and benchmarks
- Agentic Verification of Software SystemsLLM agents and tool use → Educational agents and math problem solving
- Humanlike Multi-user Agent (HUMA): Designing a Deceptively Human AI Facilitator for Group ChatsLLM agents and tool use → General LLM agent frameworks and benchmarks
- SpatialGeo:Boosting Spatial Reasoning in Multimodal LLMs via Geometry-Semantics FusionLLM reasoning → Spatial and embodied reasoning +1
- Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine TranslationLLM reasoning → Reasoning benchmarks and evaluation
- Cross-cultural value alignment frameworks for responsible AI governance: Evidence from China-West comparative analysisLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance FeedbackMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Intervene-All-Paths: Unified Mitigation of LVLM Hallucinations across Alignment FormatsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- FlexiFlow: decomposable flow matching for generation of flexible molecular ensembleDiffusion models → Flow matching, time series and science
- A Simple Yet Strong Baseline for Long-Term Conversational Memory of LLM AgentsLLM agents and tool use → Agent memory systems
- VLA-4D: Embedding 4D Awareness into Vision-Language-Action Models for SpatioTemporally Coherent Robotic ManipulationVision-language-action models → 3D and spatial-aware VLA
- Designing Domain-Specific Agents via Hierarchical Task Abstraction MechanismLLM agents and tool use → Multimodal and embodied agents
- FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought OracleLLM reasoning → Spatial and embodied reasoning
- Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language ModelsLLM reasoning → Hallucination detection and mitigation
- DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
- One-Step Diffusion Transformer for Controllable Real-World Image Super-ResolutionDiffusion models → Inverse problems and image restoration
- UI-CUBE: Enterprise-Grade Computer Use Agent Benchmarking Beyond Task Accuracy to Operational ReliabilityLLM agents and tool use → GUI and mobile agents
- Training Foundation Models on a Full-Stack AMD Platform: Compute, Networking, and System DesignMixture-of-experts → Efficient MoE training and inference systems
- ChainV: Atomic Visual Hints Make Multimodal Reasoning Shorter and BetterLLM reasoning → Multimodal reasoning
- Geometric-disentangelment UnlearningLLM safety and security → Machine unlearning
- Sparse Reasoning is Enough: Biological-Inspired Framework for Video Anomaly Detection with Large Pre-trained ModelsLLM reasoning → Chain-of-thought reasoning for driving
- Why Do Language Model Agents Whistleblow?LLM agents and tool use → Agent threats, guardrails and governance
- Diversity Has Always Been There in Your Visual Autoregressive ModelsDiffusion models → Image generation, text-to-image and editing
- OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- PathAgent: Toward Interpretable Analysis of Whole-slide Pathology Images via Large Language Model-based Agentic ReasoningLLM reasoning → Clinical and biomedical applications +1
- Parametric Retrieval-Augmented Generation using Latent Routing of LoRA AdaptersRetrieval-augmented generation → RAG pipeline design and evaluation
- Do Vision-Language Models Understand Visual Persuasiveness? A Diagnosis via Visual Persuasive FactorsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Energy Scaling Laws for Diffusion Models: Quantifying Compute in Image GenerationDiffusion models → Diffusion foundations and sampling
- ReVul-CoT: Towards Effective Software Vulnerability Assessment with Retrieval-Augmented Generation and Chain-of-Thought PromptingLLM reasoning → Reasoning for agents, planning and code +1
- Budget-Aware Tool Use Enables Effective Agent ScalingLLM reasoning → Reasoning for agents, planning and code +1
- FLUID: Training-Free Face De-identification via Latent Identity SubstitutionDiffusion models → Image generation, text-to-image and editing
- Vision Language Models are Confused TouristsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- FIRM: Federated In-client Regularized Multi-objective Alignment for Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- RadioKMoE: Knowledge-Guided Radiomap Estimation with Kolmogorov-Arnold Networks and Mixture-of-ExpertsMixture-of-experts → Expert routing strategies
- ToC: Tree-of-Claims Search with Multi-Agent Language ModelsLLM agents and tool use → Web, search, and research agents
- Optimizing PyTorch Inference with LLM-Based Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Fine-grained MoE Load Balancing with Linear ProgrammingMixture-of-experts → Efficient MoE training and inference systems
- RASTP: Representation-Aware Semantic Token Pruning for Generative Recommendation with Semantic IdentifiersEfficient LLM inference and serving → Visual token pruning in multimodal models
- MultiPriv: Benchmarking Individual-Level Privacy Reasoning in Vision-Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned FeaturesDiffusion models → Inverse problems and image restoration
- Diffusion-Inversion-Net (DIN): An End-to-End Direct Probabilistic Framework for Characterizing Hydraulic Conductivities and Quantifying UncertaintyDiffusion models → Flow matching, time series and science
- UniModel: A Visual-Only Framework for Unified Multimodal Understanding and GenerationDiffusion models → Image generation, text-to-image and editing
- Hybrid Differential Reward: Combining Temporal Difference and Action Gradients for Efficient Multi-Agent Reinforcement Learning in Cooperative DrivingEnd-to-end autonomous driving → Cooperative and V2X driving
- Warm Diffusion: Recipe for Blur-Noise Mixture Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual ScenariosLLM reasoning → Audio-language model reasoning +1
- Improving Latent Reasoning in LLMs via Soft Concept MixingLLM reasoning → Test-time compute and efficient thinking
- Parts-Mamba: Augmenting Joint Context with Part-Level Scanning for Occluded Human SkeletonState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Enriching Taxonomies Using Large Language Models
- A Cloud-Based Cross-Modal Transformer for Emotion Recognition and Adaptive Human-Computer Interaction
- Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling
- Artificial Intelligence as a Training Tool in Clinical Psychology: A Comparison of Text-Based and Avatar Simulations
- QoS-Aware Dynamic CU Selection in O-RAN with Graph-Based Reinforcement Learning
- MultiGA: Leveraging Multi-Source Seeding in Genetic Algorithms
- Physics-Informed Machine Learning for Steel Development: A Computational Framework and CCT Diagram Modelling
All 335
- A Multiscale Geometric Method for Capturing Relational Topic Alignment
- A cross-species neural foundation model for end-to-end speech decoding
- Science Is Falling Behind the Frontier: Foundation Model Adoption Across Half a Million Papers
- R2Q: Towards Robust 2-Bit Large Language Models via Residual Refinement Quantization
- Closing the Performance Gap Between AI and Radiologists in Chest X-Ray Reporting
- RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models
- Identifying Quantum Structure in AI Language: Evidence for Evolutionary Convergence of Human and Artificial Cognition
- Morality in AI. A plea to embed morality in LLM architectures and frameworks
- SG-OIF: A Stability-Guided Online Influence Framework for Reliable Vision Data
- Hidden markov model to predict tourists visited place
- Temperature in SLMs: Impact on Incident Categorization in On-Premises Environments
- Systemic approach for modeling a generic smart grid
- SparOA: Sparse and Operator-aware Hybrid Scheduling for Edge DNN Inference
- JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perception
- Internalizing Tools as Morphisms in Graded Transformers
- Learning to Debug: LLM-Organized Knowledge Trees for Solving RTL Assertion Failures
- Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
- Toward explainable AI approaches for breast imaging: adapting foundation models to diverse populations
- Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch
- Analog Physical Systems Can Exhibit Double Descent
- QAL: A Loss for Recall Precision Balance in 3D Reconstruction
- A novel k-means clustering approach using two distance measures for Gaussian data
- High-Accuracy List-Decodable Mean Estimation
- APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs
- Point of Order: Action-Aware LLM Persona Modeling for Data-Grounded Civic Deliberation
- Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
- PoETa v2: Toward More Robust Evaluation of Large Language Models in Portuguese
- REXO: Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion
- A Stitch in Time: Learning Procedural Workflow via Self-Supervised Plackett-Luce Ranking
- Pillar-0: A New Frontier for Radiology Foundation Models
- Layer-Wise High-Impact Parameter Ratio Optimization in Post-Training Quantization for Large Language Models
- Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures
- Physical Reinforcement Learning
- Data-Driven Predictive Modeling of Microfluidic Cancer Cell Separation Using a Deterministic Lateral Displacement Device
- A Variance-Based Analysis of Sample Complexity for Grid Coverage
- Variational Estimators for Node Popularity Models
- Smoothed Agnostic Learning of Halfspaces over the Hypercube
- PrismSSL: One Interface, Many Modalities; A Single-Interface Library for Multimodal Self-Supervised Learning
- Weighted Birkhoff Averages Accelerate Data-Driven Methods
- LEARN: Learning End-to-End Aerial Resource-Constrained Multi-Robot Navigation
- When Active Learning Fails, Uncalibrated Out of Distribution Uncertainty Quantification Might Be the Problem
- Latent Dirichlet Transformer VAE for Hyperspectral Unmixing with Bundled Endmembers
- Periodicity-Enforced Neural Network for Designing Deterministic Lateral Displacement Devices
- Delta-ML Ensembles for Selecting Quantum Chemistry Methods to Compute Intermolecular Interactions
- SPIDER: Spatial Image CorresponDence Estimator for Robust Calibration
- AEGIS: Preserving privacy of 3D Facial Avatars with Adversarial Perturbations
- Computational frame analysis revisited: On LLMs for studying news coverage
- Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
- AI- and Ontology-Based Enhancements to FMEA for Advanced Systems Engineering: Current Developments and Future Directions
- Towards Open-Ended Visual Scientific Discovery with Sparse Autoencoders
- AngioDG: Interpretable Channel-informed Feature-modulated Single-source Domain Generalization for Coronary Vessel Segmentation in X-ray Angiography
- Prequential posteriors
- Learning the Value of Value Learning
- Quantum Fourier Transform Based Kernel for Solar Irrandiance Forecasting
- DeepCoT: Deep Continual Transformers for Real-Time Inference on Data Streams
- Enhancing Adversarial Transferability through Block Stretch and Shrink
- Boosting Brain-inspired Path Integration Efficiency via Learning-based Replication of Continuous Attractor Neurodynamics
- Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics
- Datacenters in the Desert: Feasibility and Sustainability of LLM Inference in the Middle East
- A Cross-Cultural Assessment of Human Ability to Detect LLM-Generated Fake News about South Africa
- Motion-Aware Vision-Reference Alignment for Referring Multi-Object Tracking
- Research and Prototyping Study of an LLM-Based Chatbot for Electromagnetic Simulations
- Chatbots to strengthen democracy: An interdisciplinary seminar to train identifying argumentation techniques of science denial
- A Hybrid Classical-Quantum Fine Tuned BERT for Text Classification
- Lane-Frame Quantum Multimodal Driving Forecasts for the Trajectory of Autonomous Vehicles
- Person Recognition in Aerial Surveillance: A Decade Survey
- Empa: An AI-Powered Virtual Mentor for Developing Global Collaboration Skills in HPC Education
- MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation
- GANGR: GAN-Assisted Scalable and Efficient Global Routing Parallelization
- CubeletWorld: A New Abstraction for Scalable 3D Modeling
- Native 3D Editing with Full Attention
- Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination
- Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
- An Artificial Intelligence Framework for Measuring Human Spine Aging Using MRI
- Radar2Shape: 3D Shape Reconstruction from High-Frequency Radar using Multiresolution Signed Distance Functions
- Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition
- Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models
- PersonaAgent with GraphRAG: Community-Aware Knowledge Graphs for Personalized LLM
- SRA-CP: Spontaneous Risk-Aware Selective Cooperative Perception
- GPR-OdomNet: Difference and Similarity-Driven Odometry Estimation Network for Ground Penetrating Radar-Based Localization
- Improving Multimodal Distillation for 3D Semantic Segmentation under Domain Shift
- Illustrator's Depth: Monocular Layer Index Prediction for Image Decomposition
- Planning with Sketch-Guided Verification for Physics-Aware Video Generation
- Unmasking Airborne Threats: Guided-Transformers for Portable Aerosol Mass Spectrometry
- GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity
- REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
- InTAct: Interval-based Task Activation Consolidation for Continual Learning
- A Framework for Adaptive Stabilisation of Nonlinear Stochastic Systems
- Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
- SMILE: A Composite Lexical-Semantic Metric for Question-Answering Evaluation
- Towards fully differentiable neural ocean model with Veros
- Self-Supervised Learning by Curvature Alignment
- Preventing Shortcut Learning in Medical Image Analysis through Intermediate Layer Knowledge Distillation from Specialist Teachers
- DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
- CREST: Improving Interpretability and Effectiveness of Troubleshooting at Ericsson through Criterion-Specific Trouble Report Retrieval
- SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding
- The Impact of Off-Policy Training Data on Probe Generalisation
- PUCP-Metrix: An Open-source and Comprehensive Toolkit for Linguistic Analysis of Spanish Texts
- Stable Coresets via Posterior Sampling: Aligning Induced and Full Loss Landscapes
- Designing and Generating Diverse, Equitable Face Image Datasets for Face Verification Tasks
- MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration
- Selective Rotary Position Embedding
- Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
- A Unified Stability Analysis of SAM vs SGD: Role of Data Coherence and Emergence of Simplicity Bias
- Quantum Masked Autoencoders for Vision Learning
- R2PS: Worst-Case Robust Real-Time Pursuit Strategies under Partial Observability
- SVRecon: Sparse Voxel Rasterization for Surface Reconstruction
- ATAC: Augmentation-Based Test-Time Adversarial Correction for CLIP
- SuperQuadricOcc: Real-Time Self-Supervised Semantic Occupancy Estimation with Superquadric Volume Rendering
- Don't Learn, Ground: A Case for Natural Language Inference with Visual Grounding
- DSeq-JEPA: Discriminative Sequential Joint-Embedding Predictive Architecture
- Learning Latent Transmission and Glare Maps for Lens Veiling Glare Removal
- Convergence and stability of Q-learning in Hierarchical Reinforcement Learning
- Label-Efficient Skeleton-based Recognition with Stable-Invertible Graph Convolutional Networks
- Loomis Painter: Reconstructing the Painting Process
- Refracting Reality: Generating Images with Realistic Transparent Objects
- ReBaPL: Repulsive Bayesian Prompt Learning
- A new kid on the block: Distributional semantics predicts the word-specific tone signatures of monosyllabic words in conversational Taiwan Mandarin
- AI Workers, Geopolitics, and Algorithmic Collective Action
- MusicAIR: A Multimodal AI Music Generation Framework Powered by an Algorithm-Driven Core
- NoPe-NeRF++: Local-to-Global Optimization of NeRF with No Pose Prior
- FORWARD: Dataset of a forwarder operating in rough terrain
- Self-supervised denoising of raw tomography detector data for improved image reconstruction
- MuM: Multi-View Masked Image Modeling for 3D Vision
- BiFingerPose: Bimodal Finger Pose Estimation for Touch Devices
- Large Language Models for Sentiment Analysis to Detect Social Challenges: A Use Case with South African Languages
- MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
- SAVeD: Semantic Aware Version Discovery
- A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates
- Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation
- Leveraging CVAE for Joint Configuration Estimation of Multifingered Grippers from Point Cloud Data
- Automobile demand forecasting: Spatiotemporal and hierarchical modeling, life cycle dynamics, and user-generated online information
- Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
- DISCA: A Digital In-memory Stochastic Computing Architecture Using A Compressed Bent-Pyramid Format
- Enforcing governing equation constraints in neural PDE solvers via training-free projections
- Blind Deconvolution for Color Images Using Normalized Quaternion Kernels
- Equivariant-Aware Structured Pruning for Efficient Edge Deployment: A Comprehensive Framework with Adaptive Fine-Tuning
- Predicting Social Media User Actions: A Hybrid Approach for Common and Rare Behavior Prediction on Bluesky
- A Fast Binary Splitting Approach for Non-Adaptive Learning of ErdHos--R'enyi Graphs
- Lost in Translation and Noise: A Deep Dive into the Failure Modes of VLMs on Real-World Tables
- Algorithmic design and implementation considerations of deep MPC
- Generating transition states of chemical reactions via distance-geometry-based flow matching
- Intrinsic preservation of plasticity in continual quantum learning
- TP-MDDN: Task-Preferenced Multi-Demand-Driven Navigation with Autonomous Decision-Making
- QueryOcc: Query-based Self-Supervision for 3D Semantic Occupancy
- PARROT: Persuasion and Agreement Robustness Rating of Output Truth -- A Sycophancy Robustness Benchmark for LLMs
- DelTriC: A Novel Clustering Method with Accurate Outlier
- Dual-domain Adaptation Networks for Realistic Image Super-resolution
- FisheyeGaussianLift: BEV Feature Lifting for Surround-View Fisheye Camera Perception
- Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
- SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors
- E3-Pruner: Towards Efficient, Economical, and Effective Layer Pruning for Large Language Models
- Continual Alignment for SAM: Rethinking Foundation Models for Medical Image Segmentation in Continual Learning
- Reconstruction of Surface EMG Signal using IMU data for Upper Limb Actions
- Real Noise Decoupling for Hyperspectral Image Denoising
- AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
- PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention
- Attention-Guided Feature Fusion (AGFF) Model for Integrating Statistical and Semantic Features in News Text Classification
- Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning
- Investigating self-supervised representations for audio-visual deepfake detection
- On the Predictive Skill of Artificial Intelligence-based Weather Models for Extreme Events using Uncertainty Quantification
- MIR: Efficient Exploration in Episodic Multi-Agent Reinforcement Learning via Mutual Intrinsic Reward
- The Belief-Desire-Intention Ontology for modelling mental reality and agency
- The PLLuM Instruction Corpus
- Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy
- UI-Styler: Ultrasound Image Style Transfer with Class-Aware Prompts for Cross-Device Diagnosis Using a Frozen Black-Box Inference Network
- LangMark: A Multilingual Dataset for Automatic Post-Editing
- A lightweight detector for real-time detection of remote sensing images
- Learning to Look Closer: A New Instance-Wise Loss for Small Cerebral Lesion Segmentation
- Device-Guided Music Transfer
- A Multi-Stage Optimization Framework for Deploying Learned Image Compression on FPGAs
- Four decades of circumpolar super-resolved satellite land surface temperature data
- Off the Planckian Locus: Using 2D Chromaticity to Improve In-Camera Color
- Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation
- Towards Blind Lens Aberration Correction via Large LensLib Pre-training and Discrete Degradation Priors
- Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
- PEGS: Physics-Event Enhanced Large Spatiotemporal Motion Reconstruction via 3D Gaussian Splatting
- AutoGraphAD: Unsupervised network anomaly detection using Variational Graph Autoencoders
- Dissecting Quantum Reinforcement Learning: A Systematic Evaluation of Key Components
- Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs
- SPAGS: Sparse-View Articulated Object Reconstruction from Single State via Planar Gaussian Splatting
- Spanning Tree Autoregressive Visual Generation
- MUCH: A Multilingual Claim Hallucination Benchmark
- An Efficient Computational Framework for Discrete Fuzzy Numbers Based on Total Orders
- Hash Collisions in Molecular Fingerprints: Effects on Property Prediction and Bayesian Optimization
- Interpretability from the Ground Up: Stakeholder-Centric Design of Automated Scoring in Educational Assessments
- ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion
- REArtGS++: Generalizable Articulation Reconstruction with Temporal Geometry Constraint via Planar Gaussian Splatting
- Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks
- RL-AD-Net: Reinforcement Learning Guided Adaptive Displacement in Latent Space for Refined Point Cloud Completion
- RoomPlanner: Explicit Layout Planner for Easier LLM-Driven 3D Room Generation
- RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis
- MedImageInsight for Thoracic Cavity Health Classification from Chest X-rays
- CLLMRec: LLM-powered Cognitive-Aware Concept Recommendation via Semantic Alignment and Prerequisite Knowledge Distillation
- Step-E: A Differentiable Data Cleaning Framework for Robust Learning with Noisy Labels
- DAPS++: Rethinking Diffusion Inverse Problems with Decoupled Posterior Annealing
- Parameter-Free Neural Lens Blur Rendering for High-Fidelity Composites
- Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
- Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
- Self-Localizing MIMO Beam Mapping with Continuously Evolving Channel Memory
- VLM-Augmented Degradation Modeling for Image Restoration Under Adverse Weather Conditions
- MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists
- DepthFocus: Controllable Depth Estimation for See-Through Scenes
- DReX: Pure Vision Fusion of Self-Supervised and Convolutional Representations for Image Complexity Prediction
- ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations
- A Diversity-optimized Deep Ensemble Approach for Accurate Plant Leaf Disease Detection
- Gradient-Driven Natural Selection for Compact 3D Gaussian Splatting
- The Finer the Better: Towards Granular-aware Open-set Domain Generalization
- Gradient descent dynamics for deep equilibrium models
- Real-Time Cooked Food Image Synthesis and Visual Cooking Progress Monitoring on Edge Devices
- Two Heads Better than One: Dual Degradation Representation for Blind Super-Resolution
- Comparing verbal, visual and combined explanations for Bayesian Network inferences
- MatPedia: A Universal Generative Foundation for High-Fidelity Material Synthesis
- Point-Supervised Facial Expression Spotting with Gaussian-Based Instance-Adaptive Intensity Modeling
- FingerCap: Fine-grained Finger-level Hand Motion Captioning
- MobileOcc: A Human-Aware Semantic Occupancy Dataset for Mobile Robots
- Flow-Guided Implicit Neural Representation for Motion-Aware Dynamic MRI Reconstruction
- OmniGround: A Comprehensive Spatio-Temporal Grounding Benchmark for Real-World Complex Scenarios
- Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awareness
- A novel approach to classification of ECG arrhythmia types with latent ODEs
- OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
- CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection
- A Hybrid Computational Intelligence Framework for scRNA-seq Imputation: Integrating scRecover and Random Forests
- DeltaDeno: Zero-Shot Anomaly Generation via Delta-Denoising Attribution
- PepEVOLVE: Position-Aware Dynamic Peptide Optimization via Group-Relative Advantage
- Q-REAL: Towards Realism and Plausibility Evaluation for AI-Generated Content
- Predicting Talent Breakout Rate using Twitter and TV data
- Predicting the Emergence of Induction Heads in Language Model Pretraining
- Glass Surface Detection: Leveraging Reflection Dynamics in Flash/No-flash Imagery
- Latent Reasoning in TRMs is Secretly a Policy Improvement Operator
- Generative AI in Sociological Research: State of the Discipline
- PersonalizedRouter: Personalized LLM Routing via Graph-based User Preference Modeling
- Aggregating Direct and Indirect Neighbors through Graph Linear Transformations
- Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representation Alignment
- The Joint Gromov Wasserstein Objective for Multiple Object Matching