Papers
Tue 21 Jan 2025
265 papers
- Large Language Models Meet Graph Neural Networks for Text-Numeric Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
- Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses DownscalingDiffusion models → Flow matching, time series and science
- Advancing the Understanding and Evaluation of AR-Generated Scenes: When Vision-Language Models Shine and StumbleMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- A Survey of Graph Retrieval-Augmented Generation for Customized Large Language ModelsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Zero-Shot Verification-guided Chain of ThoughtsLLM reasoning → Prompting and chain-of-thought reasoning
- Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFLDiffusion models → Flow matching, time series and science
- R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic MemoryLLM agents and tool use → Web, search, and research agents
- Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World ApplicationsLLM safety and security → Membership inference attacks
- Owls are wise and foxes are unfaithful: Uncovering animal stereotypes in vision-language modelsMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool InvocationLLM agents and tool use → Tool learning and function calling
- Modality Interactive Mixture-of-Experts for Fake News DetectionMixture-of-experts → Multimodal MoE models
- InternVideo2.5: Empowering Video MLLMs with Long and Rich Context ModelingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- DiffDoctor: Diagnosing Image Diffusion Models Before TreatingDiffusion models → Image generation, text-to-image and editing
- Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
- InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward ModelLLM reasoning → Multimodal reasoning +2
- ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2Multimodal LLMs / vision-language models → Medical vision-language models
- VARGPT: Unified Understanding and Generation in a Visual Autoregressive Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- UI-TARS: Pioneering Automated GUI Interaction with Native AgentsLLM agents and tool use → GUI and mobile agents
- Condor: Enhance LLM Alignment with Knowledge-Driven Data Synthesis and RefinementLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
- VipDiff: Towards Coherent and Diverse Video Inpainting via Training-free Denoising Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
- CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image ClassificationMultimodal LLMs / vision-language models → Medical vision-language models
- InsTALL: Context-aware Instructional Task Assistance with Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- TokenVerse: Versatile Multi-concept Personalization in Token Modulation SpaceDiffusion models → Image generation, text-to-image and editing
- You Can't Eat Your Cake and Have It Too: The Performance Degradation of LLMs with Jailbreak DefenseLLM safety and security → Jailbreaking
- PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language ModelMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets GenerationDiffusion models → 3D, point cloud and scene generation
- BiMarker: Enhancing Text Watermark Detection for Large Language Models with Bipolar WatermarksLLM safety and security → Watermarking generated content and models
- ComposeAnyone: Controllable Layout-to-Human Generation with Decoupled Multimodal ConditionsDiffusion models → Image generation, text-to-image and editing
- AdaServe: Accelerating Multi-SLO LLM Serving with SLO-Customized Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- MedS3: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process SupervisionLLM reasoning → Clinical and biomedical applications +1
- SMamba: Sparse Mamba for Event-based Object DetectionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Bridging Visualization and Optimization: Multimodal Large Language Models on Graph-Structured Combinatorial OptimizationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- GLAM: Global-Local Variation Awareness in Mamba-based World ModelWorld models → Latent dynamics models and model-based RL +1
- ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- Systematic Abductive Reasoning via Diverse Relation Representations in Vector-symbolic ArchitectureLLM reasoning → Multimodal reasoning
- Med-R2: Crafting Trustworthy LLM Physicians via Retrieval and Reasoning of Evidence-Based MedicineLLM reasoning → Clinical and biomedical applications
- From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-TuningLLM reasoning → Test-time compute and efficient thinking
- Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert ModelsMixture-of-experts → Efficient MoE training and inference systems
- LLM-Agents Driven Automated Simulation Testing and Analysis of small Uncrewed Aerial SystemsLLM agents and tool use → Multimodal and embodied agents
- EmbodiedEval: Evaluate Multimodal LLMs as Embodied AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Network-informed Prompt Engineering against Organized Astroturf Campaigns under Extreme Class ImbalanceRetrieval-augmented generation → Privacy and security of RAG
- FedMUA: Exploring the Vulnerabilities of Federated Learning to Malicious Unlearning AttacksLLM safety and security → Federated unlearning and poisoning
- Is your LLM trapped in a Mental Set? Investigative study on how mental sets affect the reasoning capabilities of LLMsLLM reasoning → Reasoning benchmarks and evaluation
- Toward Scalable Graph Unlearning: A Node Influence Maximization based ApproachLLM safety and security → Graph unlearning
- Provably effective detection of effective data poisoning attacksLLM safety and security → Backdoor and data poisoning attacks
- The Process of Categorical Clipping at the Core of the Genesis of Concepts in Synthetic Neural Cognition
- You Can't Get There From Here: Redefining Information Science to address our sociotechnical futures
- Analysis of a Memcapacitor-Based for Neural Network Accelerator Framework
- Pushing the Limits of BFP on Narrow Precision LLM Inference
- Explainable AI for Mental Health Emergency Returns: Integrating LLMs with Predictive Modeling
- Heterogeneous Multi-Player Multi-Armed Bandits Robust To Adversarial Attacks
- RayLoc: Wireless Indoor Localization via Fully Differentiable Ray-tracing
- Benchmarking Randomized Optimization Algorithms on Binary, Permutation, and Combinatorial Problem Landscapes
- Enabling Population-Level Parallelism in Tree-Based Genetic Programming for GPU Acceleration
- A novel Trunk Branch-net PINN for flow and heat transfer prediction in porous medium
- Multi-Modality Transformer for E-Commerce: Inferring User Purchase Intention to Bridge the Query-Product Gap
- A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers
- Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads
- ZKLoRA: Efficient Zero-Knowledge Proofs for LoRA Verification
- Procedural Generation of 3D Maize Plant Architecture from LIDAR Data
- Adaptive Cyber-Attack Detection in IIoT Using Attention-Based LSTM-CNN Models
- A Fast, Scalable, and Robust Deep Learning-based Iterative Reconstruction Framework for Accelerated Industrial Cone-beam X-ray Computed Tomography
- LiCAR: pseudo-RGB LiDAR image for CAR segmentation
- Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization
- Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs)
- A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction
- Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
- Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction
- Debate Helps Weak-to-Strong Generalization
- Episodic Memories Generation and Evaluation Benchmark for Large Language Models
- Revealing emergent human-like conceptual representations from language prediction
- Reinforcement Learning Constrained Beam Search for Parameter Optimization of Paper Drying Under Flexible Constraints
- Comparative Approaches to Sentiment Analysis Using Datasets in Major European and Arabic Languages
- Compositional Instruction Following with Language Models and Reinforcement Learning
- Academic case reports lack diversity: Assessing the presence and diversity of sociodemographic and behavioral factors related to Post COVID-19 Condition
- Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
- Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs
- How Does the Spatial Distribution of Pre-training Data Affect Geospatial Foundation Models?
- Efficient Lung Ultrasound Severity Scoring Using Dedicated Feature Extractor
- Topology of Out-of-Distribution Examples in Deep Neural Networks
- An Empirically-grounded tool for Automatic Prompt Linting and Repair: A Case Study on Bias, Vulnerability, and Optimization in Developer Prompts
- Robustness of Selected Learning Models under Label-Flipping Attack
- The Finite Element Neural Network Method: One Dimensional Study
- Sequence Spreading-Based Semantic Communication Under High RF Interference
- Learning General Causal Structures with Hidden Dynamic Process for Climate Analysis
- Optimizing Blockchain Analysis: Tackling Temporality and Scalability with an Incremental Approach with Metropolis-Hastings Random Walks
- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting
- Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models
- fabSAM: A Farmland Boundary Delineation Method Based on the Segment Anything Model
- The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws
- TOFFE -- Temporally-binned Object Flow from Events for High-speed and Energy-Efficient Object Detection and Tracking
- Degree-Based Logical Adjacency Checking (DBLAC): A Novel Heuristic for Vertex Coloring
- Slot-BERT: Self-supervised Object Discovery in Surgical Video
- Adaptive PII Mitigation Framework for Large Language Models
- ConfRetro: a 3D-aware template-free method for enhancing retrosynthesis via molecular conformer information
- SCFCRC: Simultaneously Counteract Feature Camouflage and Relation Camouflage for Fraud Detection
- Fuel Efficiency Analysis of the Public Transportation System Based on the Gaussian Mixture Model Clustering
- SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization
All 265
- SafePowerGraph-HIL: Real-Time HIL Validation of Heterogeneous GNNs for Bridging Sim-to-Real Gap in Power Grids
- Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET
- Multi-Modality Collaborative Learning for Sentiment Analysis
- FREYR: A Framework for Recognizing and Executing Your Requests
- CroMe: Multimodal Fake News Detection using Cross-Modal Tri-Transformer and Metric Learning
- Tackling Small Sample Survival Analysis via Transfer Learning: A Study of Colorectal Cancer Prognosis
- Towards Affordance-Aware Articulation Synthesis for Rigged Objects
- Learning segmentation from point trajectories
- Physics of Skill Learning
- GPS as a Control Signal for Image Generation
- Taming Teacher Forcing for Masked Autoregressive Video Generation
- Continuous 3D Perception Model with Persistent State
- Audio Texture Manipulation by Exemplar-Based Analogy
- CCESAR: Coastline Classification-Extraction From SAR Images Using CNN-U-Net Combination
- Parallel Sequence Modeling via Generalized Spatial Propagation Network
- MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
- Video Depth Anything: Consistent Depth Estimation for Super-Long Videos
- Expertise elevates AI usage: experimental evidence comparing laypeople and professional artists
- Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL
- DARB-Splatting: Generalizing Splatting with Decaying Anisotropic Radial Basis Functions
- Budget-constrained Collaborative Renewable Energy Forecasting Market
- Efficient Algorithm for Sparse Fourier Transform of Generalized q-ary Functions
- Measured Hockey-Stick Divergence and its Applications to Quantum Pufferfish Privacy
- Diffusion-aware Censored Gaussian Processes for Demand Modelling
- Test-time regression: a unifying framework for designing sequence models with associative memory
- CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning
- Treefix: Enabling Execution with a Tree of Prefixes
- FuocChuVIP123 at CoMeDi Shared Task: Disagreement Ranking with XLM-Roberta Sentence Embeddings and Deep Neural Regression
- Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration
- Cinepro: Robust Training of Foundation Models for Cancer Detection in Prostate Ultrasound Cineloops
- The Gap Between Principle and Practice of Lossy Image Coding
- Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images
- Metric for Evaluating Performance of Reference-Free Demorphing Methods
- BlanketGen2-Fit3D: Synthetic Blanket Augmentation Towards Improving Real-World In-Bed Blanket Occluded Human Pose Estimation
- Uncertainty Quantification With Noise Injection in Neural Networks: A Bayesian Perspective
- A Hybrid Supervised and Self-Supervised Graph Neural Network for Edge-Centric Applications
- LLM-Assisted Knowledge Graph Completion for Curriculum and Domain Modelling in Personalized Higher Education Recommendations
- Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
- RALAD: Bridging the Real-to-Sim Domain Gap in Autonomous Driving with Retrieval-Augmented Learning
- Towards Accurate Unified Anomaly Segmentation
- Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Media
- Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
- MoGERNN: An Inductive Traffic Predictor for Unobserved Locations
- With Great Backbones Comes Great Adversarial Transferability
- Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
- mmCooper: A Multi-agent Multi-stage Communication-efficient and Collaboration-robust Cooperative Perception Framework
- HAC++: Towards 100X Compression of 3D Gaussian Splatting
- Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos
- Video Deblurring by Sharpness Prior Detection and Edge Information
- Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping
- Zero-shot Bias Correction: Efficient MR Image Inhomogeneity Reduction Without Any Data
- FOCUS: First Order Concentrated Updating Scheme
- Investigating Market Strength Prediction with CNNs on Candlestick Chart Images
- Fast sparse optimization via adaptive shrinkage
- DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual Domains
- High-temperature superconductivity in Li2AuH6 mediated by strong electron-phonon coupling under ambient pressure
- Exploring Temporally-Aware Features for Point Tracking
- Early Detection and Classification of Breast Cancer Using Deep Learning Techniques
- RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
- Automatic selection of the best neural architecture for time series forecasting
- Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms
- Score Combining for Contrastive OOD Detection
- Explainability for Vision Foundation Models: A Survey
- Experience-replay Innovative Dynamics
- An End-to-End Approach for Korean Wakeword Systems with Speaker Authentication
- MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration
- HEM: a margin-based loss for visual categorisation tasks
- MirrorCBO: A consensus-based optimization method in the spirit of mirror descent
- Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
- Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations
- SVGS-DSGAT: An IoT-Enabled Innovation in Underwater Robotic Object Detection Technology
- Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
- Fast-RF-Shimming: Accelerate RF Shimming in 7T MRI using Deep Learning
- DNRSelect: Active Best View Selection for Deferred Neural Rendering
- On the practical applicability of modern DFT functionals for chemical computations. Case study of DM21 applicability for geometry optimization
- Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities
- Heterogeneous Federated Learning Systems for Time-Series Power Consumption Prediction with Multi-Head Embedding Mechanism
- Distributed Multi-Head Learning Systems for Power Consumption Prediction
- Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction
- FL-CLEANER: byzantine and backdoor defense by CLustering Errors of Activation maps in Non-iid fedErated leaRning
- Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
- ENTIRE: Learning-based Volume Rendering Time Prediction
- Regularized dynamical parametric approximation of stiff evolution problems
- Efficient PINNs via Multi-Head Unimodular Regularization of the Solutions Space
- Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning
- Dual NUP Representations and Min-Maximization in Factor Graphs
- Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes
- Teacher Encoder-Student Decoder Denoising Guided Segmentation Network for Anomaly Detection
- Proxies for Distortion and Consistency with Applications for Real-World Image Restoration
- UAV-Assisted Real-Time Disaster Detection Using Optimized Transformer Model
- DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling
- Scalable Whole Slide Image Representation Using K-Mean Clustering and Fisher Vector Aggregation
- A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment
- Optimizing Portfolio Performance through Clustering and Sharpe Ratio-Based Optimization: A Comparative Backtesting Approach
- Towards autonomous photogrammetric forest inventory using a lightweight under-canopy robotic drone
- Co-Paced Learning Strategy Based on Confidence for Flying Bird Object Detection Model Training
- EDoRA: Efficient Weight-Decomposed Low-Rank Adaptation via Singular Value Decomposition
- Tackling Uncertainties in Multi-Agent Reinforcement Learning through Integration of Agent Termination Dynamics
- GSVC: Efficient Video Representation and Compression Through 2D Gaussian Splatting
- Unified 3D MRI Representations via Sequence-Invariant Contrastive Learning
- ORCAst: Operational High-Resolution Current Forecasts
- Aggrotech: Leveraging Deep Learning for Sustainable Tomato Disease Management
- Representation Learning with Parameterised Quantum Circuits for Advancing Speech Emotion Recognition
- Adaptive Class Learning to Screen Diabetic Disorders in Fundus Images of Eye
- Communication-Efficient and Privacy-Adaptable Mechanism for Federated Learning
- Harnessing Generative Pre-Trained Transformer for Datacenter Packet Trace Generation
- Accelerating Recommender Model ETL with a Streaming FPGA-GPU Dataflow
- Advancing Earth Observation: A Survey on AI-Powered Image Processing in Satellites
- Comparative Analysis of Pre-trained Deep Learning Models and DINOv2 for Cushing's Syndrome Diagnosis in Facial Analysis
- Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
- On the Illusion of Gender Bias in Face Recognition: Explaining the Fairness Issue Through Non-demographic Attributes
- Are Traditional Deep Learning Model Approaches as Effective as a Retinal-Specific Foundation Model for Ocular and Systemic Disease Detection?
- Full Proportional Justified Representation
- TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data
- Reference-free Evaluation Metrics for Text Generation: A Survey
- A note on the relations between mixture models, maximum-likelihood and entropic optimal transport
- Survey on Hand Gesture Recognition from Visual Input
- Linear Feedback Control Systems for Iterative Prompt Optimization in Large Language Models
- Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
- "FRAME: Forward Recursive Adaptive Model Extraction-A Technique for Advance Feature Selection"
- A Hybrid Attention Framework for Fake News Detection with Large Language Models
- TAD-Bench: A Comprehensive Benchmark for Embedding-Based Text Anomaly Detection
- Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
- Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model
- HERITAGE: An End-to-End Web Platform for Processing Korean Historical Documents in Hanja
- MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation
- To Google or To ChatGPT? A Comparison of CS2 Students' Information Gathering Approaches and Outcomes
- A Lightweight and Interpretable Deepfakes Detection Framework
- Make Full Use of Testing Information: An Integrated Accelerated Testing and Evaluation Method for Autonomous Driving Systems
- Progressive Cross Attention Network for Flood Segmentation using Multispectral Satellite Imagery
- Goal-oriented Transmission Scheduling: Structure-guided DRL with a Unified Dual On-policy and Off-policy Approach
- Improving Fine-Tuning with Latent Cluster Correction
- LuxVeri at GenAI Detection Task 3: Cross-Domain Detection of AI-Generated Text Using Inverse Perplexity-Weighted Ensemble of Fine-Tuned Transformer Models
- LuxVeri at GenAI Detection Task 1: Inverse Perplexity Weighted Ensemble for Robust Detection of AI-Generated Text across English and Multilingual Contexts
- Bridging the Communication Gap: Evaluating AI Labeling Practices for Trustworthy AI Development
- Enhancing Adversarial Transferability via Component-Wise Transformation
- Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation
- LASER: Lip Landmark Assisted Speaker Detection for Robustness
- Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
- Contrastive Masked Autoencoders for Character-Level Open-Set Writer Identification
- Fast Underwater Scene Reconstruction using Multi-View Stereo and Physical Imaging
- Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
- FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients
- Coarse-to-Fine Lightweight Meta-Embedding for ID-Based Recommendation
- Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
- Evaluating multiple models using labeled and unlabeled data
- Bayesian Despeckling of Structured Sources
- WaveNet-SF: A Hybrid Network for Retinal Disease Detection Based on Wavelet Transform in Spatial-Frequency Domain
- Cross-Entropy Attacks to Language Models via Rare Event Simulation
- Challenges in Expanding Portuguese Resources: A View from Open Information Extraction
- A Survey on Memory-Efficient Transformer-Based Model Training in AI for Science
- Survey on Monocular Metric Depth Estimation
- Supervised Learning for Analog and RF Circuit Design: Benchmarks and Comparative Insights
- Data-driven Detection and Evaluation of Damages in Concrete Structures: Using Deep Learning and Computer Vision
- Hybrid Adaptive Modeling using Neural Networks Trained with Nonlinear Dynamics Based Features
- ShadowGenes: Leveraging Recurring Patterns within Computational Graphs for Model Genealogy
- Fact-Preserved Personalized News Headline Generation
- PXGen: A Post-hoc Explainable Method for Generative Models
- Group-Agent Reinforcement Learning with Heterogeneous Agents
- Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach
- CogMorph: Cognitive Morphing Attacks for Text-to-Image Models
- Utilising Deep Learning to Elicit Expert Uncertainty
- Automating RT Planning at Scale: High Quality Data For AI Training
- TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
- Policy-Adaptable Methods For Resolving Normative Conflicts Through Argumentation and Graph Colouring