Papers
Mon 14 Jul 2025
349 papers
- PLA: Prompt Learning Attack against Text-to-Image Generative ModelsLLM safety and security → Vision-language and text-to-image safety
- Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration TestingLLM agents and tool use → Agent threats, guardrails and governance
- LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language ModelsEfficient LLM inference and serving → KV cache optimization
- PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial TrainingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat InvestigationLLM agents and tool use → Agent threats, guardrails and governance
- 3D Wavelet Latent Diffusion Model for Whole-Body MR-to-CT Modality TranslationDiffusion models → Medical imaging and segmentation
- Inversion-DPO: Precise and Efficient Post-Training for Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
- ARMOR: Aligning Secure and Safe Large Language Models via Meticulous ReasoningLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Visually grounded emotion regulation via diffusion models and user-driven reappraisalDiffusion models → Audio, speech and music
- LLM-Guided Agentic Object Detection for Open-World UnderstandingLLM agents and tool use → Multimodal and embodied agents
- Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport MapsOffline RL and imitation learning from data → Offline RL algorithms
- Versatile and Generalizable Manipulation via Goal-Conditioned Reinforcement Learning with Grounded Object DetectionDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Warehouse Spatial Question Answering with LLM AgentLLM agents and tool use → Multimodal and embodied agents
- Spatial Reasoners for Continuous Variables in Any DomainLLM reasoning → Spatial and embodied reasoning
- Ground-Compose-Reinforce: Grounding Language in Agentic Behaviours using Limited DataLLM agents and tool use → Reinforcement learning for LLM agents
- Vision Language Action Models in Robotic Manipulation: A Systematic ReviewVision-language-action models → Generalist VLA models and benchmarks
- From Multi-Agent Systems and the Semantic Web to Agentic AI: A Unified Narrative of the Web of AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- GHPO: Adaptive Guidance for Stable and Efficient LLM Reinforcement LearningSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- Game Theory Meets LLM and Agentic AI: Reimagining Cybersecurity for the Age of Intelligent ThreatsLLM agents and tool use → Agent threats, guardrails and governance
- EmbRACE-3K: Embodied Reasoning and Action in Complex EnvironmentsLLM reasoning → Spatial and embodied reasoning +1
- REST: Stress Testing Large Reasoning Models by Asking Multiple Problems at OnceLLM reasoning → Test-time compute and efficient thinking
- Graph World ModelWorld models → World models for language agents
- Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data ContaminationLLM reasoning → Reinforcement learning for reasoning
- Flow matching for reaction pathway generationDiffusion models → Flow matching, time series and science
- DeepResearchEco: A Recursive Agentic Workflow for Complex Scientific Question Answering in EcologyLLM agents and tool use → Web, search, and research agents
- The Power of Certainty: How Confident Models Lead to Better SegmentationKnowledge distillation → Distillation for medical imaging
- Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
- Some remarks on gradient dominance and LQR policy optimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAGLLM reasoning → Knowledge- and tool-augmented reasoning +2
- Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph AdapterMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Feature Distillation is the Better Choice for Model-Heterogeneous Federated LearningKnowledge distillation → Federated, robust and private distillation
- Parallel Sampling of Diffusion Models on SO(3)Diffusion models → Diffusion foundations and sampling
- Text Embedding Knows How to Quantize Text-Guided Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Mind the Gap: Aligning Vision Foundation Models to Image Feature MatchingDiffusion models → Image generation, text-to-image and editing
- DisCo: Towards Distinct and Coherent Visual Encapsulation in Video MLLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
- FaceLLM: A Multimodal Large Language Model for Face UnderstandingMultimodal LLMs / vision-language models → Social bias and fairness in VLMs
- Prompt Informed Reinforcement Learning for Visual Coverage Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table IntelligenceLLM agents and tool use → Web, search, and research agents
- Synthesizing Near-Boundary OOD Samples for Out-of-Distribution DetectionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Straighten Viscous Rectified Flow via Noise OptimizationDiffusion models → Flow matching, time series and science
- From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image GenerationDiffusion models → 3D, point cloud and scene generation
- A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution ImagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?Offline RL and imitation learning from data → Decision transformers and sequence modeling
- Robust RL Control for Bipedal Locomotion with Closed Kinematic ChainsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- HASSLE: A Self-Supervised Learning Enhanced Hijacking Attack on Vertical Federated LearningLLM safety and security → Federated unlearning and poisoning
- What Should Feature Distillation Transfer in LLMs? A Task-Tangent Geometry ViewKnowledge distillation → General knowledge distillation methods
- Past-Future Scheduler for LLM Serving under SLA GuaranteesEfficient LLM inference and serving → Serving systems and request scheduling
- A Variance-Reduced Cubic-Regularized Newton for Policy OptimizationDeep reinforcement learning methods → RL theory and sample complexity
- Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language ModelsRetrieval-augmented generation → RAG for code
- Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column ReorderingSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- Foundation Model Driven Robotics: A Comprehensive ReviewMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuningLLM reasoning → Test-time compute and efficient thinking
- Cultural Bias in Large Language Models: Evaluating AI Agents through Moral QuestionnairesLLM agents and tool use → Social simulation and multi-agent debate
- Frequency Regulation for Exposure Bias Mitigation in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal ParallelismMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Finetuning Deep Reinforcement Learning Policies with Evolutionary Strategies for Control of Underactuated RobotsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization StrategiesDiffusion models → Image generation, text-to-image and editing
- Deep Hidden Cognition Facilitates Reliable Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
- On The Role of Intentionality in Knowledge Representation: Analyzing Scene Context for Cognitive Agents with a Tiny Language ModelLLM agents and tool use → General LLM agent frameworks and benchmarks
- Latent Diffusion Models with Masked AutoEncodersDiffusion models → Diffusion foundations and sampling
- TextOmics-Guided Diffusion for Hit-like Molecular GenerationDiffusion models → Flow matching, time series and science
- Tiny Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsMixture-of-experts → MoE large language models
- Iceberg: Enhancing HLS Modeling with Synthetic DataSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Enhancing Retrieval Augmented Generation with Hierarchical Text Segmentation ChunkingRetrieval-augmented generation → Multimodal RAG
- Mechanistic Interpretability of LoRA-Adapted Language Models for Nuclear Reactor Safety ApplicationsLLM reasoning → Test-time compute and efficient thinking +1
- Aligning Generative Speech Enhancement with Perceptual FeedbackLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
- Dynamic data generation and dynamic portfolio selection: an application of a score-based diffusion modelDiffusion models → Flow matching, time series and science
- Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce ScenariosDiffusion models → Image generation, text-to-image and editing
- VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across DomainsLLM reasoning → Reinforcement learning for reasoning
- ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language ModelsLLM reasoning → Multimodal reasoning
- Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BODeep reinforcement learning methods → RL for autonomous driving and traffic
- Model-Grounded Symbolic Artificial Intelligence Systems Learning and Reasoning with Model-Grounded Symbolic Artificial Intelligence SystemsLLM reasoning → Reasoning benchmarks and evaluation
- The Challenge of Teaching Reasoning to LLMs Without RL or DistillationLLM reasoning → Prompting and chain-of-thought reasoning
- Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle SystemsMixture-of-experts → MoE in reinforcement learning and robotics
- A Formal Framework for the Definition of 'State': Hierarchical Representation and Meta-Universe Interpretation
- Dimensions of Vulnerability in Visual Working Memory: An AI-Driven Approach to Perceptual Comparison
- ASR-Synchronized Speaker-Role Diarization
- Does Language Matter for Early Detection of Parkinson's Disease from Speech?
- RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records
- Purchase and Production Optimization in a Meat Processing Plant
- A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
- On Splitting Lightweight Semantic Image Segmentation for Wireless Communications
- Retention analysis of edited knowledge after fine-tuning
- Explainable Parallel CNN-LSTM Model for Differentiating Ventricular Tachycardia from Supraventricular Tachycardia with Aberrancy in 12-Lead ECGs
- UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach
- Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics
- Modeling the Economic Impacts of AI Openness Regulation
- DeepWriter: A Fact-Grounded Multimodal Writing Assistant Based On Offline Knowledge Base
- Quantum Transfer Learning to Boost Dementia Detection
- AI-Powered Math Tutoring: Platform for Personalized and Adaptive Education
- Kodezi Chronos: A Debugging-First Language Model for Repository-Scale Code Understanding
- Emergent Heterogeneous Swarm Control Through Hebbian Learning
- Expert Operational GANS: Towards Real-Color Underwater Image Restoration
- Predicting Pulmonary Hypertension in Newborns: A Multi-view VAE Approach
- A Model Aware AIGC Task Offloading Algorithm in IIoT Edge Computing
- Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting
- HKGAI-V1: Towards Regional Sovereign Large Language Model for Hong Kong
- A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n
All 349
- WhisperKit: On-device Real-time ASR with Billion-Scale Transformers
- MultiVox: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions
- Sparse Fine-Tuning of Transformers for Generative Tasks
- PhreshPhish: A Real-World, High-Quality, Large-Scale Phishing Website Dataset and Benchmark
- LLMs on Trial: Evaluating Judicial Fairness for Large Language Models
- HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
- Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization
- Functional Neural Wavefunction Optimization
- From Small to Large: A Graph Convolutional Network Approach for Solving Assortment Optimization Problems
- AF-XRAY: Visual Explanation and Resolution of Ambiguity in Legal Argumentation Frameworks
- Supporting SENCOTEN Language Documentation Efforts with Automatic Speech Recognition
- Past, Present and Future: Exploring Adaptive AI in Software Development Bots
- Semantic Context for Tool Orchestration
- How Robust are LLM-Generated Library Imports? An Empirical Study using Stack Overflow
- React to This (RTT): A Nonverbal Turing Test for Embodied AI
- Testing Hypotheses from the Social Approval Theory of Online Hate: An Analysis of 110 Million Messages from Parler
- Uncovering Causal Relation Shifts in Event Sequences under Out-of-Domain Interventions
- Automated Thematic Analyses Using LLMs: Xylazine Wound Management Social Media Chatter Use Case
- ThinkingViT: Matryoshka Thinking Vision Transformer for Elastic Inference
- SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions
- Multi-Armed Sampling Problem and the End of Exploration
- Multilayer Artificial Benchmark for Community Detection (mABCD)
- A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
- Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers
- "Is it always watching? Is it always listening?" Exploring Contextual Privacy and Security Concerns Toward Domestic Social Robots
- rt-RISeg: Real-Time Model-Free Robot Interactive Segmentation for Active Instance-Level Object Understanding
- A New Dataset and Performance Benchmark for Real-time Spacecraft Segmentation in Onboard Computers
- Theory of Mind and Self-Disclosure to CUIs
- Applying Text Embedding Models for Efficient Analysis in Labeled Property Graphs
- FPC-Net: Revisiting SuperPoint with Descriptor-Free Keypoint Detection via Feature Pyramids and Consistency-Based Implicit Matching
- Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
- Detecting AI Assistance in Abstract Complex Tasks
- IoT Malware Network Traffic Detection using Deep Learning and GraphSAGE Models
- Auditing Facial Emotion Recognition Datasets for Posed Expressions and Racial Bias
- AI and the Net-Zero Journey: Energy Demand, Emissions, and the Potential for Transition
- A Benchmarking Framework for AI models in Automotive Aerodynamics
- Language Models for Adult Service Website Text Analysis
- Parsing Musical Structure to Enable Meaningful Variations
- Integrating Biological Knowledge for Robust Microscopy Image Profiling on De Novo Cell Lines
- Extracting Document Relations from Search Corpus by Marginalizing over User Queries
- Distributionally Robust Optimization with Adversarial Data Contamination
- Real-time, Adaptive Radiological Anomaly Detection and Isotope Identification Using Non-negative Matrix Factorization
- A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
- Robust Multi-Manifold Clustering via Simplex Paths
- Kernel Learning for Mean-Variance Trading Strategies
- Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health
- CWNet: Causal Wavelet Network for Low-Light Image Enhancement
- A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks
- CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance
- TaylorPODA: A Taylor Expansion-Based Method to Improve Post-Hoc Attributions for Opaque Models
- First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network
- A Code Comprehension Benchmark for Large Language Models for Code
- SENSOR: An ML-Enhanced Online Annotation Tool to Uncover Privacy Concerns from User Reviews in Social-Media Applications
- Evaluating LLM-based Workflows for Switched-Mode Power Supply Design
- ZClassifier: Temperature Tuning and Manifold Approximation via KL Divergence on Logit Space
- A Simple Baseline for Stable and Plastic Neural Networks
- GeoHopNet: Hopfield-Augmented Sparse Spatial Attention for Dynamic UAV Site Location Problem
- Formal Verification of Variational Quantum Circuits
- Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
- Scalable Unsupervised Segmentation via Random Fourier Feature-based Gaussian Process
- Enhancing the Capabilities of Large Language Models for API calls through Knowledge Graphs
- SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition
- Player-Team Heterogeneous Interaction Graph Transformer for Soccer Outcome Prediction
- Flows and Diffusions on the Neural Manifold
- Spectral Feature Extraction for Robust Network Intrusion Detection Using MFCCs
- Self-supervised Learning on Camera Trap Footage Yields a Strong Universal Face Embedder
- Quantize-then-Rectify: Efficient VQ-VAE Training
- Disentangling Neural Disjunctive Normal Form Models
- ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions
- FusionFactory: Fusing LLM Capabilities with Multi-LLM Log Data
- On the Performance of Differentially Private Optimization with Heavy-Tail Class Imbalance
- CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks
- WildFX: A DAW-Powered Pipeline for In-the-Wild Audio FX Graph Modeling
- Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation
- Chat with AI: The Surprising Turn of Real-time Video Communication from Human to AI
- Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop
- Scene-Aware Conversational ADAS with Generative AI for Real-Time Driver Assistance
- National level satellite-based crop field inventories in smallholder landscapes
- Cameras as Relative Positional Encoding
- Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing
- BenchReAD: A systematic benchmark for retinal anomaly detection
- Overcoming catastrophic forgetting in neural networks
- The Target Polish: A New Approach to Outlier-Resistant Non-Negative Matrix Factorization
- Can You Detect the Difference?
- Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
- GT-Loc: Unifying When and Where in Images Through a Joint Embedding Space
- MLAR: Multi-layer Large Language Model-based Robotic Process Automation Applicant Tracking
- RefSTAR: Blind Facial Image Restoration with Reference Selection, Transfer, and Reconstruction
- An Empirical Evaluation of AI-Powered Non-Player Characters' Perceived Realism and Performance in Virtual Reality Environments
- From BERT to Qwen: Hate Detection across architectures
- AudioMAE++: learning better masked audio representations with SwiGLU FFNs
- RAPNet: A Receptive-Field Adaptive Convolutional Neural Network for Pansharpening
- CoralVQA: A Large-Scale Visual Question Answering Dataset for Coral Reef Image Understanding
- Referential ambiguity and clarification requests: comparing human and LLM behaviour
- 4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos
- CLA: Latent Alignment for Online Continual Self-Supervised Learning
- Text-Visual Semantic Constrained AI-Generated Image Quality Assessment
- Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
- Non-exchangeable Conformal Prediction with Optimal Transport: Tackling Distribution Shifts with Unlabeled Data
- SentiDrop: A Multi Modal Machine Learning model for Predicting Dropout in Distance Learning
- Multiple Choice Learning of Low-Rank Adapters for Language Modeling
- Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
- Numerically Computing Galois Groups of Minimal Problems
- CLOSP: A Unified Semantic Space for SAR, MSI, and Text in Remote Sensing
- Anticipating the Selectivity of Intramolecular Cyclization Reaction Pathways with Neural Network Potentials
- Devanagari Handwritten Character Recognition using Convolutional Neural Network
- Instance space analysis of the capacitated vehicle routing problem
- Extracting Important Tokens in E-Commerce Queries with a Tag Interaction-Aware Transformer Model
- Dynamical stability for dense patterns in attractor neural networks
- Leveraging RAG-LLMs for Urban Mobility Simulation and Analysis
- Improving Remote Sensing Classification using Topological Data Analysis and Convolutional Neural Networks
- Test-Time Canonicalization by Foundation Models for Robust Perception
- Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
- Fine-Grained Zero-Shot Object Detection
- Meanings are like Onions: a Layered Approach to Metaphor Processing
- TAT: Temporal-Aligned Transformer for Multi-Horizon Peak Demand Forecasting
- Some Super-approximation Rates of ReLU Neural Networks for Korobov Functions
- FGSSNet: Feature-Guided Semantic Segmentation of Real World Floorplans
- Using AI to replicate human experimental results: a motion study
- MoCap-Impute: A Comprehensive Benchmark and Comparative Analysis of Imputation Methods for IMU-based Motion Capture Data
- Bridging Robustness and Generalization Against Word Substitution Attacks in NLP via the Growth Bound Matrix Approach
- Grammar-Guided Evolutionary Search for Discrete Prompt Optimisation
- Convergence of Agnostic Federated Averaging
- Toolsuite for Implementing Multiagent Systems Based on Communication Protocols
- Recognizing Dementia from Neuropsychological Tests with State Space Models
- Contrastive Pretraining with Dual Visual Encoders for Gloss-Free Sign Language Translation
- MF-GLaM: A multifidelity stochastic emulator using generalized lambda models
- Average Sensitivity of Hierarchical k-Median Clustering
- Show and Polish: Reference-Guided Identity Preservation in Face Video Restoration
- FTCFormer: Fuzzy Token Clustering Transformer for Image Classification
- Conditional Chemical Language Models are Versatile Tools in Drug Discovery
- DNS Tunneling: Threat Landscape and Improved Detection Solutions
- Kaleidoscopic Background Attack: Disrupting Pose Estimation with Multi-Fold Radial Symmetry Textures
- DepViT-CAD: Deployable Vision Transformer-Based Cancer Diagnosis in Histopathology
- Kernel-Adaptive PI-ELMs for Forward and Inverse Problems in PDEs with Sharp Gradients
- Visual Analytics for Explainable and Trustworthy Artificial Intelligence
- Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
- Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?
- ProGait: A Multi-Purpose Video Dataset and Benchmark for Transfemoral Prosthesis Users
- Spatial Lifting for Dense Prediction
- From Words to Proverbs: Evaluating LLMs Linguistic and Cultural Competence in Saudi Dialects with Absher
- A Graph Sufficiency Perspective for Neural Networks
- Boosting Multimodal Learning via Disentangled Gradient Learning
- Is Micro-expression Ethnic Leaning?
- Survey for Categorising Explainable AI Studies Using Data Analysis Task Frameworks
- Improving Multimodal Learning via Imbalanced Learning
- History Matching under Uncertainty of Geological Scenarios with Implicit Geological Realism Control with Generative Deep Learning and Graph Convolutions
- Natural Language-based Assessment of L2 Oral Proficiency using LLMs
- Minimizing the Pretraining Gap: Domain-aligned Text-Based Person Retrieval
- Learning Private Representations through Entropy-based Adversarial Training
- T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs
- Breaking the Myth: Can Small Models Infer Postconditions Too?
- On the mechanical creation of mathematical concepts
- Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
- Detoxify: A framework for abusive text transformation using LLMs
- Play Style Identification Using Low-Level Representations of Play Traces in MicroRTS
- SlumpGuard: An AI-Powered Real-Time System for Automated Concrete Slump Prediction via Video Analysis
- Understanding the Rank of Tensor Networks via an Intuitive Example-Driven Approach
- Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
- MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping
- Introducing the Swiss Food Knowledge Graph: AI for Context-Aware Nutrition Recommendation
- Simulating Biases for Interpretable Fairness in Offline and Online Classifiers
- Deep Recurrence for Dynamical Segmentation Models
- Toward Adaptable Multi-Agent Reinforcement Learning: An Assumption-Aware Review
- The Effects of Flipped Classrooms in Higher Education: A Causal Machine Learning Analysis
- Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality
- A PBN-RL-XAI Framework for Discovering a "Hit-and-Run" Therapeutic Strategy in Melanoma
- FRSICL: LLM-Enabled In-Context Learning Flight Resource Allocation for Fresh Data Collection in UAV-Assisted Wildfire Monitoring
- Extending Defeasibility for Propositional Standpoint Logics
- Wavelet-Enhanced Neural ODE and Graph Attention for Interpretable Energy Forecasting
- Probabilistic Human Intent Prediction for Mobile Manipulation: An Evaluation with Human-Inspired Constraints
- Taming Modern Point Tracking for Speckle Tracking Echocardiography via Impartial Motion
- Could you be wrong: Debiasing LLMs using a metacognitive prompt for improving human decision making
- Analysis of AI Techniques for Orchestrating Edge-Cloud Application Migration
- DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation
- Glance-MCMT: A General MCMT Framework with Glance Initialization and Progressive Association
- BlueGlass: A Framework for Composite AI Safety
- Fusing Large Language Models with Temporal Transformers for Time Series Forecasting
- FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text
- A Transfer Learning-Based Method for Water Body Segmentation in Remote Sensing Imagery: A Case Study of the Zhada Tulin Area
- Compression Method for Deep Diagonal State Space Model Based on H2 Optimal Reduction
- On Gradual Semantics for Assumption-Based Argumentation
- TGLD: A Trust-Aware Game-Theoretic Lane-Changing Decision Framework for Automated Vehicles in Heterogeneous Traffic
- LayLens: Improving Deepfake Understanding through Simplified Explanations
- MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second
- GeLaCo: An Evolutionary Approach to Layer Compression
- Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
- Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning
- CoSMo: A Multimodal Transformer for Page Stream Segmentation in Comic Books
- On the Efficiency of Training Robust Decision Trees
- Automating SPARQL Query Translations between DBpedia and Wikidata
- Towards Applying Large Language Models to Complement Single-Cell Foundation Models
- LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning
- Sampling-Based Estimation of Jaccard Containment and Similarity
- (Almost) Free Modality Stitching of Foundation Models
- Forecasting Coccidioidomycosis (Valley Fever) in Arizona: A Graph Neural Network Approach
- Cross-modal Associations in Vision and Language Models: Revisiting the Bouba-Kiki Effect
- Robust Phase-Shifting Profilometry for Arbitrary Motion
- Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media
- Vision-Based Anti Unmanned Aerial Technology: Opportunities and Challenges
- Effects of relational graph modularity and depth on the learning performance of neural networks
- Leveraging Swin Transformer for enhanced diagnosis of Alzheimer's disease using multi-shell diffusion MRI
- Graph-Based Multi-Modal Light-weight Network for Adaptive Brain Tumor Segmentation
- 3DGAA: Realistic and Robust 3D Gaussian-based Adversarial Attack for Autonomous Driving
- Evolution of Fear and Social Rewards in Prey-Predator Relationship
- Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
- Improving monotonic optimization in heterogeneous multi-agent reinforcement learning with optimal marginal deterministic policy gradient
- Demonstrating the Octopi-1.5 Visual-Tactile-Language Model
- Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures
- Compliance Minimization via Physics-Informed Gaussian Processes
- Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
- Text-Driven Causal Representation Learning for Source-Free Domain Generalization
- Rethinking Inductive Bias in Geographically Neural Network Weighted Regression
- 4D-MISR: A unified model for low-dose super-resolution imaging via feature fusion
- Radial Neighborhood Smoothing Recommender System
- Can GPT-4o mini and Gemini 2.0 Flash Predict Fine-Grained Fashion Product Attributes? A Zero-Shot Analysis
- Hierarchical Job Classification with Similarity Graph Integration
- ESG-Net: Event-Aware Semantic Guided Network for Dense Audio-Visual Event Localization
- Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training
- Memorization Sinks: Isolating Memorization during LLM Training
- Extracting Cause-Effect Pairs from a Sentence with a Dependency-Aware Transformer Model
- MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
- IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution
- IGD: Instructional Graphic Design with Multimodal Layer Generation
- Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
- Large Population Models
- Advanced U-Net Architectures with CNN Backbones for Automated Lung Cancer Detection and Segmentation in Chest CT Images
- Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
- Measuring the Impact of Rotation Equivariance on Aerial Object Detection
- Sequence-Model-Guided Measurement Selection for Quantum State Learning
- Soft Graph Clustering for single-cell RNA Sequencing Data
- NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting
- TolerantECG: A Foundation Model for Imperfect Electrocardiogram
- MCGA: Mixture of Codebooks Hyperspectral Reconstruction via Grayscale-Aware Attention
- AdaBrain-Bench: Benchmarking Brain Foundation Models for Brain-Computer Interface Applications
- Counterfactual Visual Explanation via Causally-Guided Adversarial Steering
- OpenHuman4D: Open-Vocabulary 4D Human Parsing
- Covering a Few Submodular Constraints and Applications
- Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition
- Resolution Revolution: A Physics-Guided Deep Learning Framework for Spatiotemporal Temperature Reconstruction
- Task Priors: Enhancing Model Evaluation by Considering the Entire Space of Downstream Tasks
- Turning the Tide: Repository-based Code Reflection
- SpeakerVid-5M: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation
- A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends
- Secure and Efficient UAV-Based Face Detection via Homomorphic Encryption and Edge Computing
- Through the River: Understanding the Benefit of Schedule-Free Methods for Language Model Training
- Stabilizing Black-Box Prompt Optimization with Textual Regularization and Signal Aggregation
- A Pre-training Framework for Relational Data with Information-theoretic Principles
- Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction