Papers
Tue 2 Sep 2025
306 papers
- LogGuardQ: A Cognitive-Enhanced Reinforcement Learning Framework for Cybersecurity Anomaly Detection in Security LogsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Ensembling Membership Inference Attacks Against Tabular Generative ModelsLLM safety and security → Membership inference attacks
- Fidelity-preserving enhancement of ptychography with foundational text-to-image modelsDiffusion models → Inverse problems and image restoration
- ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
- VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG SamplesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
- Understanding Reinforcement Learning for Model Training, and future directions with GRAPELLM reasoning → Reinforcement learning for reasoning +2
- DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and EvidenceLLM agents and tool use → Web, search, and research agents
- A-SEA3L-QA: A Fully Automated Self-Evolving, Adversarial Workflow for Arabic Long-Context Question-Answer GenerationSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
- Power Grid Control with Graph-Based Distributed Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Reasoning for PDE Foundation Models: A Reward-Model-Driven Inference-Time-Scaling AlgorithmLLM reasoning → Diffusion reasoning and test-time scaling +1
- HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and RankersRetrieval-augmented generation → RAG pipeline design and evaluation
- Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMsLLM safety and security → Machine unlearning
- PixFoundation 2.0: Do Video Multi-Modal LLMs Use Motion in Visual Grounding?Multimodal LLMs / vision-language models → Video understanding with MLLMs
- Challenges in Understanding Modality Conflict in Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
- Plan Verification for LLM-Based Embodied Task Completion AgentsLLM agents and tool use → Multimodal and embodied agents
- An Ontology-Based Approach to Optimizing Geometry Problem Sets for Skill DevelopmentLLM reasoning → Spatial and embodied reasoning
- Do LLM Modules Generalize? A Study on Motion Generation for Autonomous DrivingEnd-to-end autonomous driving → Large language models for driving
- LExI: Layer-Adaptive Active Experts for Efficient MoE Model InferenceMixture-of-experts → Efficient MoE training and inference systems
- Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven AnalyticsLLM agents and tool use → Web, search, and research agents
- Mentality: A Mamba-based Approach towards Foundation Models for EEGState-space sequence models (S4, Mamba) → Physiological signal modeling
- Imitate Optimal Policy: Prevail and Induce Action Collapse in Policy GradientDeep reinforcement learning methods → Deep RL algorithms and representations
- Acrobotics: A Generalist Approach to Quadrupedal Robots' ParkourDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Planning with Reasoning using Vision Language World ModelWorld models → Embodied and robot world models +1
- Efficient Training-Free Online Routing for High-Volume Multi-LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Preference Robustness for DPO with Applications to Public HealthLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- 2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language ModelMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection +1
- Understanding sparse autoencoder scaling in the presence of feature manifoldsMechanistic interpretability → Sparse autoencoder training and evaluation
- DynaGuard: A Dynamic Guardian Model With User-Defined PoliciesLLM safety and security → Safety alignment, refusal and guardrails
- FastVGGT: Training-Free Acceleration of Visual Geometry TransformerEfficient LLM inference and serving → Token pruning and merging for ViTs
- Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLMLLM reasoning → Knowledge- and tool-augmented reasoning +1
- The Landscape of Agentic Reinforcement Learning for LLMs: A SurveyLLM agents and tool use → Reinforcement learning for LLM agents
- UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement LearningLLM agents and tool use → GUI and mobile agents +1
- Is RL fine-tuning harder than regression? A PDE learning approach for diffusion modelsDiffusion models → Diffusion and flow policies for robotics
- Implicit Actor Critic Coupling via a Supervised Learning Framework for RLVRLLM reasoning → Reinforcement learning for reasoning
- Contemporary Agent Technology: LLM-Driven Advancements vs Classic Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- MoPEQ: Mixture of Mixed Precision Quantized ExpertsMixture-of-experts → MoE large language models
- GridMind: LLMs-Powered Agents for Power System Analysis and OperationsLLM agents and tool use → Financial trading and forecasting agents
- GRAM-R2: Self-Training Generative Foundation Reward Models for Reward ReasoningLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- SimpleTIR: End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated ReasoningLLM reasoning → Reinforcement learning for reasoning +1
- ESTM: An Enhanced Dual-Branch Spectral-Temporal Mamba for Anomalous Sound DetectionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- GenCompositor: Generative Video Compositing with Diffusion TransformerDiffusion models → Video generation
- Generative Sequential Notification Optimization via Multi-Objective Decision TransformersOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
- AppCopilot: Toward General, Accurate, Long-Horizon, and Efficient Mobile AgentLLM agents and tool use → GUI and mobile agents
- Faster and Better: Reinforced Collaborative Distillation and Self-Learning for Infrared-Visible Image FusionKnowledge distillation → Detection and dense prediction distillation +1
- Cache Management for Mixture-of-Experts LLMs -- extended versionMixture-of-experts → Efficient MoE training and inference systems
- Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- When Agents go Astray: Course-Correcting SWE Agents with PRMsLLM agents and tool use → Software engineering coding agents
- Why Do MLLMs Struggle with Spatial Understanding? A Systematic Analysis from Data to ArchitectureLLM reasoning → Spatial and embodied reasoning +1
- Implicit Reasoning in Large Language Models: A Comprehensive SurveyLLM reasoning → Reasoning benchmarks and evaluation
- AudioCodecBench: A Comprehensive Benchmark for Audio Codec EvaluationMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Distribution estimation via Flow Matching with Lipschitz guaranteesDiffusion models → Flow matching, time series and science
- DCPO: Dynamic Clipping Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented GenerationRetrieval-augmented generation → RAG for code
- OmniActor: A Generalist GUI and Embodied Agent for 2D&3D WorldsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Exploring Diffusion Models for Generative Forecasting of Financial ChartsDiffusion models → Flow matching, time series and science
- Data-Driven Loss Functions for Inference-Time Optimization in Text-to-ImageDiffusion models → Image generation, text-to-image and editing
- Baichuan-M2: Scaling Medical Capability with Large Verifier SystemLLM reasoning → Clinical and biomedical applications
- Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding TasksLLM reasoning → Spatial and embodied reasoning
- AudioRWKV: Efficient and Stable Bidirectional RWKV for Audio Pattern RecognitionState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Enhancing Zero-Shot Pedestrian Attribute Recognition with Synthetic Data Generation: A Comparative Study with Image-To-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- A Theoretical Framework of the Processes of Change in Psychotherapy Delivered by Artificial AgentsLLM agents and tool use → Medical and scientific domain agents
- AMBEDKAR-A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Scale, Don't Fine-tune: Guiding Multimodal LLMs for Efficient Visual Place Recognition at Test-TimeMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- CMRAG: Co-modality-based visual document retrieval and question answeringRetrieval-augmented generation → Multimodal RAG
- Batch Query Processing and Optimization for Agentic WorkflowsEfficient LLM inference and serving → Efficient reasoning and agent inference
- A Data-Centric Approach to Pedestrian Attribute Recognition: Synthetic Augmentation via Prompt-driven Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Better by Comparison: Retrieval-Augmented Contrastive Reasoning for Automatic Prompt OptimizationLLM reasoning → Prompting and chain-of-thought reasoning +1
- Data-Dependent Smoothing for Protein Discovery with Walk-Jump SamplingDiffusion models → Flow matching, time series and science
- Align-Then-stEer: Adapting the Vision-Language Action Models through Unified Latent GuidanceVision-language-action models → Reinforcement learning and post-training
- Privacy-Utility Trade-off in Data Publication: A Bilevel Optimization Framework with Curvature-Guided PerturbationLLM safety and security → Membership inference attacks
- Attributes as Textual Genes: Leveraging LLMs as Genetic Algorithm Simulators for Conditional Synthetic Data GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
- Palette Aligned Image DiffusionDiffusion models → Image generation, text-to-image and editing
- Discrete Noise Inversion for Next-scale Autoregressive Text-based Image EditingDiffusion models → Image generation, text-to-image and editing
- Knowledge distillation as a pathway toward next-generation intelligent ecohydrological modeling systemsKnowledge distillation → General knowledge distillation methods
- AutoDrive-R2: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous DrivingVision-language-action models → VLA for autonomous driving +1
- EigenBench: A Comparative Behavioral Measure of Value AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- Dynamic Speculative Agent PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
- Oyster-I: Beyond Refusal -- Constructive Safety Alignment for Responsible Language ModelsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- DroneSR: Rethinking Few-shot Thermal Image Super-Resolution from Drone-based PerspectiveDiffusion models → Inverse problems and image restoration
- Automated Wildfire Damage Assessment from Multi view Ground level Imagery Via Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road AssessmentDeep reinforcement learning methods → RL for robot navigation and UAV control
- Extracting OPQRST in Electronic Health Records using Large Language Models with ReasoningLLM reasoning → Clinical and biomedical applications
- Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- RadioDiff-Loc: Diffusion Model Enhanced Scattering Congnition for NLoS Localization with Sparse Radio Map EstimationDiffusion models → Diffusion for compression and wireless
- Improving Long-Tailed Object Detection with Balanced Group Softmax and Metric Learning
- Generative AI for Enhanced Wildfire Detection: Bridging the Synthetic-Real Domain Gap
- Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators
- FireGNN: Neuro-Symbolic Graph Neural Networks with Trainable Fuzzy Rules for Interpretable Medical Image Classification
- The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
- CAR-BRAINet: Sub-6GHz Aided Spatial Adaptive Beam Prediction with Multi Head Attention for Heterogeneous Vehicular Networks
- STROKEVISION-BENCH: A Multimodal Video And 2D Pose Benchmark For Tracking Stroke Recovery
- DIET-CP: Lightweight and Data Efficient Self Supervised Continued Pretraining
- Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
- FusWay: Multimodal hybrid fusion approach. Application to Railway Defect Detection
- CellPainTR: Generalizable Representation Learning for Cross-Dataset Cell Painting Analysis
- Self-Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers
- Benchmarking CNN and Transformer-Based Object Detectors for UAV Solar Panel Inspection
- Beyond Benchmarking: Scenario-Based Evaluation of Large Language Models for Personalized Learning
- Systematic Integration of Attention Modules into CNNs for Accurate and Generalizable Medical Image Diagnosis
- Scaling behavior of large language models in emotional safety classification across sizes and tasks
All 306
- Combine Virtual Reality and Machine-Learning to Identify the Presence of Dyslexia: A Cross-Linguistic Approach
- From Silent Signals to Natural Language: A Dual-Stage Transformer-LLM Approach
- Memristor-Based Neural Network Accelerators for Space Applications: Enhancing Performance with Temporal Averaging and SIRENs
- The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management
- Behavioral Fingerprinting of Large Language Models
- Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts
- Diffusion-RL Based Air Traffic Conflict Detection and Resolution Method
- Multilinear and Linear Programs for Partially Identifiable Queries in Quasi-Markovian Structural Causal Models
- Combining feature-based approaches with graph neural networks and symbolic regression for synergistic performance and interpretability
- A software security review on Uganda's Mobile Money Services: Dr. Jim Spire's tweets sentiment analysis
- Fair Resource Allocation for Fleet Intelligence
- PRECISE-AS: Personalized Reinforcement Learning for Efficient Point-of-Care Echocardiography in Aortic Stenosis Diagnosis
- Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees
- A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints
- Improving Generative Methods for Causal Evaluation via Simulation-Based Inference
- Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context
- Enhancing Machine Learning for Imbalanced Medical Data: A Quantum-Inspired Approach to Synthetic Oversampling (QI-SMOTE)
- Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models
- Managing Correlations in Data and Privacy Demand
- IDEAlign: Comparing Ideas of Large Language Models to Domain Expert
- The Architecture of AI Transformation: Four Strategic Patterns and an Emerging Frontier
- Multi-Scale Deep Learning for Colon Histopathology: A Hybrid Graph-Transformer Approach
- Conformal Prediction for Time-series Forecasting with Change Points
- Fast and Accurate SVD-Type Updating in Streaming Data
- Clustering Discourses: Racial Biases in Short Stories about Women Generated by Large Language Models
- SSVD: Structured SVD for Parameter-Efficient Fine-Tuning and Benchmarking under Domain Shift in ASR
- Ensemble Learning for Healthcare: A Comparative Analysis of Hybrid Voting and Ensemble Stacking in Obesity Risk Prediction
- Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization
- Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers
- A Graph Laplacian Eigenvector-based Pre-training Method for Graph Neural Networks
- Learning General Policies From Examples
- Structured Basis Function Networks: Loss-Centric Multi-Hypothesis Ensembles with Controllable Diversity
- DrDiff: Dynamic Routing Diffusion with Hierarchical Attention for Breaking the Efficiency-Quality Trade-off
- A Composite-Loss Graph Neural Network for the Multivariate Post-Processing of Ensemble Weather Forecasts
- The Transparent Earth: A Multimodal Foundation Model for the Earth's Subsurface
- Key Principles in Cross-Domain Hyper-Heuristic Performance
- Inference on covariance structure in high-dimensional multi-view data
- Calibration Prediction Interval for Non-parametric Regression and Neural Networks
- Toward a robust lesion detection model in breast DCE-MRI: adapting foundation models to high-risk women
- The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS)
- BioBlue: Systematic runaway-optimiser-like LLM failure modes on biologically and economically aligned AI safety benchmarks for LLMs with simplified observation format
- Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes
- Bias Detection in Emergency Psychiatry: Linking Negative Language to Diagnostic Disparities
- Can Media Act as a Soft Regulator of Safe AI Development? A Game Theoretical Analysis
- Fast kernel methods: Sobolev, physics-informed, and additive models
- Optimizing Prognostic Biomarker Discovery in Pancreatic Cancer Through Hybrid Ensemble Feature Selection and Multi-Omics Data
- BioMD: All-atom Generative Model for Biomolecular Dynamics Simulation
- Surrogate Benchmarks for Model Merging Optimization
- On Transferring, Merging, and Splitting Task-Oriented Network Digital Twins
- PalmX 2025: The First Shared Task on Benchmarking LLMs on Arabic and Islamic Culture
- Motion-Refined DINOSAUR for Unsupervised Multi-Object Discovery
- Mix-modal Federated Learning for MRI Image Segmentation
- Federated learning over physical channels: adaptive algorithms with near-optimal guarantees
- Probabilities of Causation and Root Cause Analysis with Quasi-Markovian Models
- Jointly Reinforcing Diversity and Quality in Language Model Generations
- Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
- Flavors of Moonshine: Tiny Specialized ASR Models for Edge Devices
- FLM-Audio: Natural Monologues Improves Native Full-Duplex Chatbots via Dual Training
- Comparative Study of Pre-Trained BERT and Large Language Models for Code-Mixed Named Entity Recognition
- Enhancing Fitness Movement Recognition with Attention Mechanism and Pre-Trained Feature Extractors
- Top-H Decoding: Adapting the Creativity and Coherence with Bounded Entropy in Text Generation
- The Forgotten Code: Validating a Century-Old Translation System with AI
- L3Cube-IndicHeadline-ID: A Dataset for Headline Identification and Semantic Evaluation in Low-Resource Indian Languages
- MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds
- Probabilistically stable revision and comparative probability: a representation theorem and applications
- RNN Generalization to Omega-Regular Languages
- Anisotropic Fourier Features for Positional Encoding in Medical Imaging
- HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction
- MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall
- Perturbing the Derivative: Wild Refitting for Model-Free Evaluation of Machine Learning Models under Bregman Losses
- Unifi3D: A Study on 3D Representations for Generation and Reconstruction in a Common Framework
- Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
- TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
- SpecEval: Evaluating Model Adherence to Behavior Specifications
- Do LLMs Adhere to Label Definitions? Examining Their Receptivity to External Label Definitions
- RiverScope: High-Resolution River Masking Dataset
- EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling
- An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
- Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation
- Efficient Pyramidal Analysis of Gigapixel Images on a Decentralized Modest Computer Cluster
- VASSO: Variance Suppression for Sharpness-Aware Minimization
- From Noisy Labels to Intrinsic Structure: A Geometric-Structural Dual-Guided Framework for Noise-Robust Medical Image Segmentation
- Learnable Loss Geometries with Mirror Descent for Scalable and Convergent Meta-Learning
- Decoupling Bidirectional Geometric Representations of 4D cost volume with 2D convolution
- A Survey: Towards Privacy and Security in Mobile Large Language Models
- Fisher information flow in artificial neural networks
- Evaluating Cumulative Spectral Gradient as a Complexity Measure
- Gaming and Cooperation in Federated Learning: What Can Happen and How to Monitor It
- Real-time ML-based Defense Against Malicious Payload in Reconfigurable Embedded Systems
- MedDINOv3: How to adapt vision foundation models for medical image segmentation?
- Scam2Prompt: A Scalable Framework for Auditing Malicious Scam Endpoints in Production LLMs
- Guidance and Control Neural Network Acceleration using Memristors
- Towards Temporal Knowledge-Base Creation for Fine-Grained Opinion Analysis with Language Models
- Category-Aware 3D Object Composition with Disentangled Texture and Shape Multi-view Diffusion
- Scaffolding Collaborative Learning in STEM: A Two-Year Evaluation of a Tool-Integrated Project-Based Methodology
- Ordinal Adaptive Correction: A Data-Centric Approach to Ordinal Image Classification with Noisy Labels
- RDIT: Residual-based Diffusion Implicit Models for Probabilistic Time Series Forecasting
- Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
- Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification
- Variational Uncertainty Decomposition for In-Context Learning
- Hues and Cues: Human vs. CLIP
- AdaSwitch: An Adaptive Switching Meta-Algorithm for Learning-Augmented Bounded-Influence Problems
- Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem
- LLMs and their Limited Theory of Mind: Evaluating Mental State Annotations in Situated Dialogue
- SynthGenNet: a self-supervised approach for test-time generalization using synthetic multi-source domain mixing of street view images
- Balanced Multimodal Learning: An Unidirectional Dynamic Interaction Perspective
- Calibration through the Lens of Indistinguishability
- Think2Sing: Orchestrating Structured Motion Subtitles for Singing-Driven 3D Head Animation
- Rewarding Explainability in Drug Repurposing with Knowledge Graphs
- Look: AI at Work! -- Analysing Key Aspects of AI-support at the Work Place
- RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing
- VariAntNet: Learning Decentralized Control of Multi-Agent Systems
- DSGC-Net: A Dual-Stream Graph Convolutional Network for Crowd Counting via Feature Correlation Mining
- Speech transformer models for extracting information from baby cries
- An Epidemiological Knowledge Graph extracted from the World Health Organization's Disease Outbreak News
- A Multimodal Cross-View Model for Predicting Postoperative Neck Pain in Cervical Spondylosis Patients
- Palmistry-Informed Feature Extraction and Analysis using Machine Learning
- Spectrogram Patch Codec: A 2D Block-Quantized VQ-VAE and HiFi-GAN for Neural Speech Coding
- LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents
- Autoencoder-based non-intrusive model order reduction in continuum mechanics
- Application Of Large Language Models For The Extraction Of Information From Particle Accelerator Technical Documentation
- Towards Fundamental Language Models: Does Linguistic Competence Scale with Model Size?
- Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit
- ST-Hyper: Learning High-Order Dependencies Across Multiple Spatial-Temporal Scales for Multivariate Time Series Forecasting
- FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain
- DaCe AD: Unifying High-Performance Automatic Differentiation for Machine Learning and Scientific Computing
- Beyond Ensembles: Simulating All-Atom Protein Dynamics in a Learned Latent Space
- Selection of Optimal Number and Location of PMUs for CNN Based Fault Location and Identification
- Simulating Classification Models for Ex-Ante Evaluation of Predict-Then-Optimize Methods
- ADVMEM: Adversarial Memory Initialization for Realistic Test-Time Adaptation via Tracklet-Based Benchmarking
- Synthetic data for ratemaking: imputation-based methods vs adversarial networks and autoencoders
- Avoidance Decoding for Diverse Multi-Branch Story Generation
- Omnidirectional Spatial Modeling from Correlated Panoramas
- Enhancing Reliability in LLM-Integrated Robotic Systems: A Unified Approach to Security and Safety
- Meta-Pretraining for Zero-Shot Cross-Lingual Named Entity Recognition in Low-Resource Philippine Languages
- SegFormer Fine-Tuning with Dropout: Advancing Hair Artifact Removal in Skin Lesion Analysis
- Heavy-Tailed Class-Conditional Priors for Long-Tailed Generative Modeling
- GRMM: Real-Time High-Fidelity Gaussian Morphable Head Model with Learned Residuals
- Learning Social Heuristics for Human-Aware Path Planning
- Online Identification of IT Systems through Active Causal Learning
- Explainable artificial intelligence (XAI) for scaling: An application for deducing hydrologic connectivity at watershed scale
- Threshold-Based Optimal Arm Selection in Monotonic Bandits: Regret Lower Bounds and Algorithms
- HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
- NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking
- Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal Transport
- DivMerge: A divergence-based model merging method for multi-tasking
- Online Complexity Estimation for Repetitive Scenario Design
- SALAD -- Semantics-Aware Logical Anomaly Detection
- E-THER: A Multimodal Dataset for Empathic AI -- Towards Emotional Mismatch Awareness
- JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
- AGI as Second Being: The Structural-Generative Ontology of Intelligence
- Towards Comprehensive Information-theoretic Multi-view Learning
- From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach
- Forecasting Future DDoS Attacks Using Long Short Term Memory (LSTM) Model
- How Instruction-Tuning Imparts Length Control: A Cross-Lingual Mechanistic Analysis
- Inference in Spreading Processes with Neural-Network Priors
- Abex-rat: Synergizing Abstractive Augmentation and Adversarial Training for Classification of Occupational Accident Reports
- LUCIE-3D: A three-dimensional climate emulator for forced responses
- Morphology-Aware Peptide Discovery via Masked Conditional Generative Modeling
- Generative KI f"ur TA
- Fantastic Pretraining Optimizers and Where to Find Them
- NADI 2025: The First Multidialectal Arabic Speech Processing Shared Task
- DeepSeek performs better than other Large Language Models in Dental Cases
- Genetic Programming with Model Driven Dimension Repair for Learning Interpretable Appointment Scheduling Rules
- StructCoh: Structured Contrastive Learning for Context-Aware Text Semantic Matching
- ContextFusion and Bootstrap: An Effective Approach to Improve Slot Attention-Based Object-Centric Learning
- Synesthesia of Machines (SoM)-Based Task-Driven MIMO System for Image Transmission
- Fake & Square: Training Self-Supervised Vision Transformers with Synthetic Data and Synthetic Hard Negatives
- See No Evil: Adversarial Attacks Against Linguistic-Visual Association in Referring Multi-Object Tracking Systems
- Unsupervised Training of Vision Transformers with Synthetic Negatives
- Vision-Based Embedded System for Noncontact Monitoring of Preterm Infant Behavior in Low-Resource Care Settings
- Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs
- Second-Order Tensorial Partial Differential Equations on Graphs
- mFARM: Towards Multi-Faceted Fairness Assessment based on HARMs in Clinical Decision Support
- Bouncy particle sampler with infinite exchanging parallel tempering
- ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting
- Explaining What Machines See: XAI Strategies in Deep Object Detection Models
- Semantic and episodic memories in a predictive coding model of the neocortex
- Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing
- MOSAIC: Multi-Subject Personalized Generation via Correspondence-Aware Alignment and Disentanglement
- Ensemble-Based Event Camera Place Recognition Under Varying Illumination
- 2D Gaussian Splatting with Semantic Alignment for Image Inpainting
- Computational Fluid Dynamics Optimization of F1 Front Wing using Physics Informed Neural Networks
- DRAssist: Dispute Resolution Assistance using Large Language Models
- Structure-aware Contrastive Learning for Diagram Understanding of Multimodal Models
- Content and Engagement Trends in COVID-19 YouTube Videos: Evidence from the Late Pandemic
- Entry Barriers in Content Markets
- A Continuous Encoding-Based Representation for Efficient Multi-Fidelity Multi-Objective Neural Architecture Search
- Non-Linear Model-Based Sequential Decision-Making in Agriculture
- A Diffusion-Based Framework for Configurable and Realistic Multi-Storage Trace Generation
- Causal Representation Learning from Network Data
- How Real Is AI Tutoring? Comparing Simulated and Human Dialogues in One-on-One Instruction
- Towards Interpretable Geo-localization: a Concept-Aware Global Image-GPS Alignment Framework
- RSCC: A Large-Scale Remote Sensing Change Caption Dataset for Disaster Events
- VISP: Volatility Informed Stochastic Projection for Adaptive Regularization
- Weakly Supervised Medical Entity Extraction and Linking for Chief Complaints
- Predicting NCAP Safety Ratings: An Analysis of Vehicle Characteristics and ADAS Features Using Machine Learning
- Design of Experiment for Discovering Directed Mixed Graph
- HydroVision: Predicting Optically Active Parameters in Surface Water Using Computer Vision
- MAUSAM: An Observations-focused assessment of Global AI Weather Prediction Models During the South Asian Monsoon
- AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring
- Preserving Bilinear Weight Spectra with a Signed and Shrunk Quadratic Activation Function
- Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction
- Enabling Federated Object Detection for Connected Autonomous Vehicles: A Deployment-Oriented Evaluation
- Latent Gene Diffusion for Spatial Transcriptomics Completion
- Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore