Papers
Sun 26 Jan 2025
161 papers
- SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- TensorLLM: Tensorising Multi-Head Attention for Enhanced Reasoning and Compression in LLMsLLM reasoning → Test-time compute and efficient thinking
- HardML: A Benchmark For Evaluating Data Science And Machine Learning knowledge and reasoning in AILLM reasoning → Mathematical reasoning
- Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct ReasoningLLM reasoning → Test-time compute and efficient thinking
- Diffusion Generative Modeling for Spatially Resolved Gene Expression Inference from Histology ImagesDiffusion models → Medical imaging and segmentation
- SCP-116K: A High-Quality Problem-Solution Dataset and a Generalized Pipeline for Automated Extraction in the Higher Education Science DomainLLM reasoning → Mathematical reasoning
- Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive FrameworkLLM reasoning → Mathematical reasoning
- An Explainable Biomedical Foundation Model via Large-Scale Concept-Enhanced Vision-Language Pre-trainingMultimodal LLMs / vision-language models → Medical vision-language models
- Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from TransformerLLM safety and security → Machine unlearning
- Diffusion-Based Planning for Autonomous Driving with Flexible GuidanceEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- PCAP-Backdoor: Backdoor Poisoning Generator for Network Traffic in CPS/IoT EnvironmentsLLM safety and security → Backdoor and data poisoning attacks
- CE-SDWV: Effective and Efficient Concept Erasure for Text-to-Image Diffusion Models via a Semantic-Driven Word VocabularyDiffusion models → Robustness, privacy and adversarial aspects
- Ocean-OCR: Towards General OCR Application via a Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
- Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion ModelDiffusion models → Diffusion recommenders
- UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
- RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
- CogPlanner: Unveiling the Potential of Agentic Multimodal Retrieval Augmented Generation with PlanningMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +2
- Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State SpaceState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- CD-Lamba: Boosting Remote Sensing Change Detection via a Cross-Temporal Locally Adaptive State Space ModelState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Data-adaptive Safety Rules for Training Reward ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks
- SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal SparsityDiffusion models → Diffusion foundations and sampling
- StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary SpacesDiffusion models → 3D, point cloud and scene generation
- Episodic Novelty Through Temporal DistanceDeep reinforcement learning methods → Deep RL algorithms and representations
- Safe Learning Control with Optimality and Stability GuaranteesDeep reinforcement learning methods → Safe and constrained RL
- Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image AnalysisMultimodal LLMs / vision-language models → Medical vision-language models +1
- Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual ReflectionLLM agents and tool use → General LLM agent frameworks and benchmarks
- Factors That Influence the Adoption of AI-enabled Conversational Agents (AICAs) as an Augmenting Therapeutic Tool by Frontline Healthcare Workers: From Technology Acceptance Model 3 (TAM3) Lens -- A Systematic Mapping Review
- Feature-Aware Task-to-Core Allocation in Embedded Multi-core Platforms via Statistical Learning
- Regulating Multifunctionality
- Efficient and Trustworthy Block Propagation for Blockchain-enabled Mobile Embodied AI Networks: A Graph Resfusion Approach
- Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
- Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
- An Adaptable Budget Planner for Enhancing Budget-Constrained Auto-Bidding in Online Advertising
- The Spectral Barycentre of a Set of Graphs with Community Structure
- Spontaneous emergence of linguistic statistical laws in images via artificial neural networks
- Letters, Colors, and Words: Constructing the Ideal Building Blocks Set
- Visualizing Uncertainty in Translation Tasks: An Evaluation of LLM Performance and Confidence Metrics
- Complete Chess Games Enable LLM Become A Chess Master
- Transformer^-1: Input-Adaptive Computation for Resource-Constrained Deployment
- Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
- HMCGeo: IP Region Prediction Based on Hierarchical Multi-label Classification
- Inductive-Associative Meta-learning Pipeline with Human Cognitive Patterns for Unseen Drug-Target Interaction Prediction
- Bridging the Sim2Real Gap: Vision Encoder Pre-Training for Visuomotor Policy Transfer
- Disentanglement Analysis in Deep Latent Variable Models Matching Aggregate Posterior Distributions
- Adapting Biomedical Abstracts into Plain language using Large Language Models
- Random Walk Guided Hyperbolic Graph Distillation
- Contextual Knowledge Sharing in Multi-Agent Reinforcement Learning with Decentralized Communication and Coordination
- A Statistical Learning Approach to Mediterranean Cyclones
- Beyond Benchmarks: On The False Promise of AI Regulation
- Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning
- Transformer-Based Multimodal Knowledge Graph Completion with Link-Aware Contexts
- Blissful (A)Ignorance: People form overly positive impressions of others based on their written messages, despite wide-scale adoption of Generative AI
- Exploring the Feasibility of Deep Learning Models for Long-term Disease Prediction: A Case Study for Wheat Yellow Rust in England
- MimicGait: A Model Agnostic approach for Occluded Gait Recognition using Correlational Knowledge Distillation
- StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel
- Constrained Hybrid Metaheuristic Algorithm for Probabilistic Neural Networks Learning
- Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy
- AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability
- Classifying Deepfakes Using Swin Transformers
- A Machine Learning Approach to Automatic Fall Detection of Soldiers
- People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text
- A Privacy Enhancing Technique to Evade Detection by Street Video Cameras Without Using Adversarial Accessories
- Can Pose Transfer Models Generate Realistic Human Motion?
- Mathematical analysis of the gradients in deep learning
- IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
- A Comprehensive Survey on Self-Interpretable Neural Networks
- Be Intentional About Fairness!: Fairness, Size, and Multiplicity in the Rashomon Set
- BoKDiff: Best-of-K Diffusion Alignment for Target-Specific 3D Molecule Generation
- Quantum-Enhanced Attention Mechanism in NLP: A Hybrid Classical-Quantum Approach
- Improving Estonian Text Simplification through Pretrained Language Models and Custom Datasets
- GaussianToken: An Effective Image Tokenizer with 2D Gaussian Splatting
- Your Learned Constraint is Secretly a Backward Reachable Tube
- I-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
- IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
- Deterministic Reservoir Computing for Chaotic Time Series Prediction
- Stepback: Enhanced Disentanglement for Voice Conversion via Multi-Task Learning
- Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
- Advancing TDFN: Precise Fixation Point Generation Using Reconstruction Differences
- SedarEval: Automated Evaluation using Self-Adaptive Rubrics
- Information Consistent Pruning: How to Efficiently Search for Sparse Networks?
- Assessing and Predicting Air Pollution in Asia: A Regional and Temporal Study (2018-2023)
- Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge
- Twin Transition or Competing Interests? Validation of the Artificial Intelligence and Sustainability Perceptions Inventory (AISPI)
- Instruction Tuning for Story Understanding and Generation with Weak Supervision
- Approximate Message Passing for Bayesian Neural Networks
- Comparative clinical evaluation of "memory-efficient" synthetic 3d generative adversarial networks (gan) head-to-head to state of art: results on computed tomography of the chest
- A Unified Information-Theoretic Framework for Meta-Learning Generalization
- Commute Your Domains: Trajectory Optimality Criterion for Multi-Domain Learning
- BoTier: Multi-Objective Bayesian Optimization with Tiered Composite Objectives
- Optimal Transport on Categorical Data for Counterfactuals using Compositional Data and Dirichlet Transport
- Building Efficient Lightweight CNN Models
- Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles
- Estimating the Optimal Number of Clusters in Categorical Data Clustering by Silhouette Coefficient
- Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths
- Efficient Self-Supervised Grading of Prostate Cancer Pathology
- Fuzzy-aware Loss for Source-free Domain Adaptation in Visual Emotion Recognition
- TinyLLaVA-Video: Towards Smaller LMMs for Video Understanding with Group Resampler
- Universal Image Restoration Pre-training via Degradation Classification
- FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
All 161
- Unveiling the Potential of iMarkers: Invisible Fiducial Markers for Advanced Robotics
- Domain Adaptation from Generated Multi-Weather Images for Unsupervised Maritime Object Classification
- One Model to Forecast Them All and in Entity Distributions Bind Them
- Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
- Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals
- AI in Oncology: Transforming Cancer Detection through Machine Learning and Deep Learning Applications
- Multilevel Browsing of Folksonomy-Based Digital Collections
- FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
- Differentiable Low-computation Global Correlation Loss for Monotonicity Evaluation in Quality Assessment
- Query-based versus resource-based cache strategies in tag-based browsing systems
- LoRAGuard: An Effective Black-box Watermarking Approach for LoRAs
- CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry
- TractoGPT: A GPT architecture for White Matter Segmentation
- Mind the Value-Action Gap: Do LLMs Act in Alignment with Their Values?
- Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions
- On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
- Identifying Critical Tokens for Accurate Predictions in Transformer-based Medical Imaging Models
- STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection
- FlatTrack: Eye-tracking with ultra-thin lensless cameras
- Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection
- NP-Hard Lower Bound Complexity for Semantic Self-Verification
- InfoBFR: Real-World Blind Face Restoration via Information Bottleneck
- Overview of the Amphion Toolkit (v0.2)
- Dfilled: Repurposing Edge-Enhancing Diffusion for Guided DSM Void Filling
- Cross-Modal Transfer from Memes to Videos: Addressing Data Scarcity in Hateful Video Detection
- Making Sense Of Distributed Representations With Activation Spectroscopy
- Mitigating Spurious Negative Pairs for Robust Industrial Anomaly Detection
- Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?
- Evaluating Simple Debiasing Techniques in RoBERTa-based Hate Speech Detection Models
- OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas
- Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
- Visual Generation Without Guidance
- AnyEnhance: A Unified Generative Model with Prompt-Guidance and Self-Critic for Voice Enhancement
- OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery
- The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation
- TdAttenMix: Top-Down Attention Guided Mixup
- Turn That Frown Upside Down: FaceID Customization via Cross-Training Data
- Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency
- A Neurosymbolic Framework for Geometric Reduction of Binary Forms
- Scaling of hardware-compatible perturbative training algorithms
- How Green are Neural Language Models? Analyzing Energy Consumption in Text Summarization Fine-tuning
- Foundations of a Knee Joint Digital Twin from qMRI Biomarkers for Osteoarthritis and Knee Replacement
- Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception
- Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
- Faster Configuration Performance Bug Testing with Neural Dual-level Prioritization
- CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation
- Guaranteed Multidimensional Time Series Prediction via Deterministic Tensor Completion Theory
- DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
- MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies
- Qwen2.5-1M Technical Report
- Diffusion Augmented Retrieval: A Training-Free Approach to Interactive Text-to-Image Retrieval
- How to Mitigate Information Loss in Knowledge Graphs for GraphRAG: Leveraging Triple Context Restoration and Query-Driven Feedback
- Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
- Evaluating the Effectiveness of XAI Techniques for Encoder-Based Language Models
- Acquiring Submillimeter-Accurate Multi-Task Vision Datasets for Computer-Assisted Orthopedic Surgery
- iFormer: Integrating ConvNet and Transformer for Mobile Application
- Baichuan-Omni-1.5 Technical Report
- A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
- AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach
- Decentralized Low-Rank Fine-Tuning of Large Language Models
- Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting