Papers
Tue 12 Aug 2025
355 papers
- Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDEDeep reinforcement learning methods → Adversarial robustness and RL in finance
- A Hierarchical Signal Coordination and Control System Using a Hybrid Model-based and Reinforcement Learning ApproachDeep reinforcement learning methods → RL for autonomous driving and traffic
- KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph IntegrationLLM reasoning → Knowledge- and tool-augmented reasoning
- Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-TrainingLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Toward Robust Semi-supervised Regression via Dual-stream Knowledge DistillationKnowledge distillation → General knowledge distillation methods
- Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced StabilityDeep reinforcement learning methods → Deep RL algorithms and representations
- KnowDR-REC: A Benchmark for Referring Expression Comprehension with Real-World KnowledgeLLM reasoning → Multimodal reasoning
- PersRM-R1: Enhance Personalized Reward Modeling with Reinforcement LearningLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment +1
- Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- NetMoniAI: An Agentic AI Framework for Network Security & MonitoringLLM agents and tool use → Agent threats, guardrails and governance
- Securing Agentic AI: Threat Modeling and Risk Analysis for Network Monitoring Agentic AI SystemLLM agents and tool use → Agent threats, guardrails and governance
- Understanding Dementia Speech Alignment with Diffusion-Based Image GenerationDiffusion models → Medical imaging and segmentation
- Resurrecting the Salmon: Rethinking Mechanistic Interpretability with Domain-Specific Sparse AutoencodersLLM reasoning → Reasoning benchmarks and evaluation +1
- CLF-RL: Control Lyapunov Function Guided Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled AutonomyWorld models → Latent dynamics models and model-based RL
- UltraLight Med-Vision Mamba for Classification of Neoplastic Progression in Tubular AdenomasState-space sequence models (S4, Mamba) → Mamba for medical image analysis
- Lung-DDPM+: Efficient Thoracic CT Image Synthesis using Diffusion Probabilistic ModelDiffusion models → Medical imaging and segmentation
- SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object TokensDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's AlternativeState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Can AI Keep a Secret? Contextual Integrity Verification: A Provable Security Architecture for LLMsLLM safety and security → Prompt injection and agent security
- Distilling Reinforcement Learning into Single-Batch DatasetsDeep reinforcement learning methods → Deep RL algorithms and representations
- Value Function Initialization for Knowledge Transfer and Jump-start in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- Beyond Blanket Masking: Examining Granularity for Privacy Protection in Images Captured by Blind and Low Vision UsersMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- FineState-Bench: A Comprehensive Benchmark for Fine-Grained State Control in GUI AgentsLLM agents and tool use → GUI and mobile agents
- Cowpox: Towards the Immunity of VLM-based Multi-Agent SystemsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE InferenceMixture-of-experts → Efficient MoE training and inference systems
- AMRG: Extend Vision Language Models for Automatic Mammography Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models
- Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- Training-Free Text-Guided Color Editing with Multi-Modal Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
- BrowseMaster: Towards Scalable Web Browsing via Tool-Augmented Programmatic Agent PairLLM agents and tool use → Web, search, and research agents
- A Review On Safe Reinforcement Learning Using Lyapunov and Barrier FunctionsDeep reinforcement learning methods → Safe and constrained RL
- LogicIF: Towards Complex Logic Instruction FollowingLLM agents and tool use → General LLM agent frameworks and benchmarks
- OdysseyBench: Evaluating LLM Agents on Long-Horizon Complex Office Application WorkflowsLLM agents and tool use → General LLM agent frameworks and benchmarks
- OpenCUA: Open Foundations for Computer-Use AgentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- SMA: Who Said That? Auditing Membership Leakage in Semi-Black-box RAG ControllingRetrieval-augmented generation → Privacy and security of RAG +1
- Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem SolvingLLM reasoning → Spatial and embodied reasoning +1
- Link Prediction for Event Logs in the Process IndustryRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- Addressing Bias in VLMs for Glaucoma Detection Without Protected Attribute SupervisionMultimodal LLMs / vision-language models → Medical vision-language models
- CPO: Addressing Reward Ambiguity in Role-playing Dialogue via Comparative Policy OptimizationLLM reasoning → Reasoning benchmarks and evaluation +2
- READER: Retrieval-Assisted Drafter for Efficient LLM InferenceEfficient LLM inference and serving → Speculative decoding
- GeoVLA: Empowering 3D Representations in Vision-Language-Action ModelsVision-language-action models → 3D and spatial-aware VLA
- VLM-3D:End-to-End Vision-Language Models for Open-World 3D PerceptionMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- MVISU-Bench: Benchmarking Mobile Agents for Real-World Tasks by Multi-App, Vague, Interactive, Single-App and Unethical InstructionsLLM reasoning → Multimodal reasoning +2
- Spatial Traces: Enhancing VLA Models with Spatial-Temporal UnderstandingVision-language-action models → 3D and spatial-aware VLA
- Activation Steering for Bias Mitigation: An Interpretable Approach to Safer LLMsMechanistic interpretability → Probing deception, bias and beliefs
- A Survey on Training-free Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- Retrospective Sparse Attention for Efficient Long-Context GenerationEfficient LLM inference and serving → KV cache optimization
- Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual MemoryLLM agents and tool use → Agent memory systems
- Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic UncertaintyLLM reasoning → Reasoning benchmarks and evaluation
- KFFocus: Highlighting Keyframes for Enhanced Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Rational Inverse Reasoning: Few-Shot Imitation by Inferring Intent through PlanningLLM reasoning → Spatial and embodied reasoning
- TaoCache: Structure-Maintained Video Generation AccelerationDiffusion models → Video generation
- Lay2Story: Extending Diffusion Transformers for Layout-Togglable Story GenerationDiffusion models → Image generation, text-to-image and editing
- Train Long, Think Short: Curriculum Learning for Efficient ReasoningLLM reasoning → Test-time compute and efficient thinking
- Reveal-Bangla: A Dataset for Cross-Lingual Multi-Step Reasoning EvaluationLLM reasoning → Reasoning benchmarks and evaluation
- Safe Semantics, Unsafe Interpretations: Tackling Implicit Reasoning Safety in Large Vision-Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
- Compass-Thinker-7B Technical ReportLLM reasoning → Reinforcement learning for reasoning
- ASPD: Unlocking Adaptive Serial-Parallel Decoding by Exploring Intrinsic Parallelism in LLMsEfficient LLM inference and serving → Speculative decoding
- CulTrace: Tracing Internal Cultural Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation +1
- Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language ModelsLLM safety and security → Federated unlearning and poisoning
- An Investigation of Robustness of LLMs in Mathematical Reasoning: Benchmarking with Mathematically-Equivalent Transformation of Advanced Mathematical ProblemsLLM reasoning → Mathematical reasoning
- Wavelet Mixture of Experts for Time Series ForecastingMixture-of-experts → MoE for time series and graphs
- 3DFroMLLM: 3D Prototype Generation only from Pretrained Multimodal LLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Efficient Agent: Optimizing Planning Capability for Multimodal Retrieval Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +2
- TARA: Token-Aware LoRA for Composable Personalization in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Feedback-Driven Tool-Use Improvements in Large Language Models via Automated Build EnvironmentsLLM agents and tool use → Reinforcement learning for LLM agents
- Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question AnsweringRetrieval-augmented generation → Privacy and security of RAG
- Designing Memory-Augmented AR Agents for Spatiotemporal Reasoning in Personalized Task AssistanceLLM reasoning → Spatial and embodied reasoning +2
- CARES: Collaborative Agentic Reasoning for Error Detection in SurgeryLLM agents and tool use → Medical and scientific domain agents
- DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured ConversationLLM agents and tool use → General LLM agent frameworks and benchmarks
- Exploring Palette based Color Guidance in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- Interpretable Reward Model via Sparse AutoencoderLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Boosting Action-Information via a Variational Bottleneck on Unlabelled Robot VideosOffline RL and imitation learning from data → Robot manipulation imitation learning
- SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMsRetrieval-augmented generation → Agentic RAG, agents and memory
- Elucidating Rectified Flow with Deterministic Sampler: Polynomial Discretization Complexity for Multi and One-step ModelsDiffusion models → Flow matching, time series and science
- Simulating Generative Social Agents via Theory-Informed Workflow DesignLLM reasoning → Reasoning for agents, planning and code +1
- Generative Modeling for Robust Deep Reinforcement Learning on the Traveling Salesman ProblemDeep reinforcement learning methods → RL for games and combinatorial optimization
- A Survey on Parallel Text Generation: From Parallel Decoding to Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent SystemsLLM agents and tool use → Software engineering coding agents
- Towards Safe Imitation Learning via Potential Field-Guided Flow MatchingDiffusion models → Diffusion and flow policies for robotics +1
- OmniVTLA: Vision-Tactile-Language-Action Models with Semantic-Aligned Tactile SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- DiffVolume: Diffusion Models for Volume Generation in Limit Order BooksDiffusion models → Flow matching, time series and science
- STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in VisionLLM reasoning → Multimodal reasoning +1
- Expert-Guided Diffusion Planner for Auto-BiddingDiffusion models → Diffusion and flow policies for robotics
- Exploring Large Language Model Agents for Piloting Social ExperimentsLLM agents and tool use → Social simulation and multi-agent debate
- Convergent Q-Learning for Infinite-Horizon General-Sum Markov Games through Behavioral EconomicsDeep reinforcement learning methods → RL for games and combinatorial optimization
- Aryabhata: An exam-focused language model for JEE MathLLM reasoning → Mathematical reasoning
- Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use AgentsLLM agents and tool use → GUI and mobile agents
- AME: Aligned Manifold Entropy for Robust Vision-Language DistillationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- MiGrATe: Mixed-Policy GRPO for Adaptation at Test-TimeLLM reasoning → Reinforcement learning for reasoning
- InternBootcamp: Boosting LLM Reasoning with Verifiable Task ScalingLLM reasoning → Reinforcement learning for reasoning
- AgriGPT: a Large Language Model Ecosystem for AgricultureRetrieval-augmented generation → Time series and agricultural RAG
- Securing Educational LLMs: A Generalised Taxonomy of Attacks on LLMs and DREAD Risk AssessmentLLM safety and security → Prompt injection and agent security
- Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic ReviewRetrieval-augmented generation → RAG pipeline design and evaluation
- Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong GeneralizationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- DocThinker: Explainable Multimodal Large Language Models with Rule-based Reinforcement Learning for Document UnderstandingLLM reasoning → Multimodal reasoning +1
- DeepFleet: Multi-Agent Foundation Models for Mobile RobotsLLM agents and tool use → Multimodal and embodied agents
- Superclass-Guided Representation Disentanglement for Spurious Correlation MitigationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Unlocking the Potential of Diffusion Priors in Blind Face RestorationDiffusion models → Inverse problems and image restoration
- Fine-grained Video Dubbing Duration Alignment with Segment Supervised Preference OptimizationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
All 355
- AI Agents and the LawLLM agents and tool use → General LLM agent frameworks and benchmarks
- M3-Net: A Cost-Effective Graph-Free MLP-Based Model for Traffic PredictionMixture-of-experts → MoE for time series and graphs
- DB3 Team's Solution For Meta KDD Cup' 25
- Livia: An Emotion-Aware AR Companion Powered by Modular AI Agents and Progressive Memory Compression
- Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS2-based Proteomics
- Real-Time Intuitive AI Drawing System for Collaboration: Enhancing Human Creativity through Formal and Contextual Intent Integration
- Social Identity in Human-Agent Interaction: A Primer
- "Accessibility people, you go work on that thing of yours over there": Addressing Disability Inclusion in AI Product Organizations
- Multimodal Appearance based Gaze-Controlled Virtual Keyboard with Synchronous Asynchronous Interaction for Low-Resource Settings
- WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
- GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting
- Bhav-Net: Knowledge Transfer for Cross-Lingual Antonym vs Synonym Distinction via Dual-Space Graph Transformers
- InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling
- Personalized Recommendations via Active Utility-based Pairwise Sampling
- Closing the Performance Gap in Generative Recommenders with Collaborative Tokenization and Efficient Modeling
- A Chinese Heart Failure Status Speech Database with Universal and Personalised Classification
- Collaborative Filtering using Variational Quantum Hopfield Associative Memory
- Privacy Preserving Inference of Personalized Content for Out of Matrix Users
- A Guide to Robust Generalization: The Impact of Architecture, Pre-training, and Optimization Strategy
- Out-of-Sample Hydrocarbon Production Forecasting: Time Series Machine Learning using Productivity Index-Driven Features and Inductive Conformal Prediction
- Label Smoothing is a Pragmatic Information Bottleneck
- Explainable Graph Spectral Clustering For GloVe-like Text Embeddings
- GEPD:GAN-Enhanced Generalizable Model for EEG-Based Detection of Parkinson's Disease
- MCLPD:Multi-view Contrastive Learning for EEG-based PD Detection Across Datasets
- Multi-Objective Bayesian Optimization with Independent Tanimoto Kernel Gaussian Processes for Diverse Pareto Front Exploration
- Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems
- Special-Character Adversarial Attacks on Open-Source Language Model
- Load Forecasting on A Highly Sparse Electrical Load Dataset Using Gaussian Interpolation
- Search-Time Data Contamination
- Toward an African Agenda for AI Safety
- The Interpretability Analysis of the Model Can Bring Improvements to the Text-to-SQL Task
- A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment
- Separating Knowledge and Perception with Procedural Data
- A Deep Learning-Based CCTV System for Automatic Smoking Detection in Fire Exit Zones
- RefAdGen: High-Fidelity Advertising Image Generation
- Track Component Failure Detection Using Data Analytics over existing STDS Track Circuit data
- Scalable, Technology-Agnostic Diagnosis and Predictive Maintenance for Point Machine using Deep Learning
- Towards Generalizable Learning Models for EEG-Based Identification of Pain Perception
- Real Time Child Abduction And Detection System
- Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy Prediction
- HQ-OV3D: A High Box Quality Open-World 3D Detection Framework based on Diffision Model
- ViPE: Video Pose Engine for 3D Geometric Perception
- Relative Pose Regression with Pose Auto-Encoders: Enhancing Accuracy and Data Efficiency for Retail Applications
- A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial
- Bayesian Models for Joint Selection of Features and Auto-Regressive Lags: Theory and Applications in Environmental and Financial Forecasting
- xRFM: Accurate, scalable, and interpretable feature learning models for tabular data
- Legal Zero-Days: A Novel Risk Vector for Advanced AI Systems
- A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
- SABIA: An AI-Powered Tool for Detecting Opioid-Related Behaviors on Social Media
- Large Language Models for Power System Security: A Novel Multi-Modal Approach for Anomaly Detection in Energy Management Systems
- Enhance the machine learning algorithm performance in phishing detection with keyword features
- DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection
- ProMode: A Speech Prosody Model Conditioned on Acoustic and Textual Inputs
- X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents
- What Can We Learn from Inter-Annotator Variability in Skin Lesion Segmentation?
- APIO: Automatic Prompt Induction and Optimization for Grammatical Error Correction and Text Simplification
- A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition
- Classifying Cool Dwarfs: Comprehensive Spectral Typing of Field and Peculiar Dwarfs Using Machine Learning
- FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition
- Flow-SLM: Joint Learning of Linguistic and Acoustic Information for Spoken Language Modeling
- The Human-AI Hybrid Delphi Model: A Structured Framework for Context-Rich, Expert Consensus in Complex Domains
- Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference
- Blink-to-code: real-time Morse code communication via eye blink detection and classification
- Collective dynamics of strategic classification
- Decoding Neural Emotion Patterns through Large Language Model Embeddings
- RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs
- Teaching Code Refactoring Using LLMs
- Synaptic Pruning: A Biological Inspiration for Deep Learning Regularization
- Dynamic Survival Prediction using Longitudinal Images based on Transformer
- TEN: Table Explicitization, Neurosymbolically
- Leveraging Large Language Models for Rare Disease Named Entity Recognition
- Exact Verification of Graph Neural Networks with Incremental Constraint Solving
- TPTP World Infrastructure for Non-classical Logics
- ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
- Decentralized Weather Forecasting via Distributed Machine Learning and Blockchain-Based Model Validation
- Biased AI improves human performance but reduces perceived helpfulness
- Ethical Medical Image Synthesis
- The Othello AI Arena: Evaluating Intelligent Systems Through Limited-Time Adaptation to Unseen Boards
- Pattern-based Knowledge Component Extraction from Student Code Using Representation Learning
- Constrained Black-Box Attacks Against Cooperative Multi-Agent Reinforcement Learning
- A Generative Imputation Method for Multimodal Alzheimer's Disease Diagnosis
- Over-Squashing in GNNs and Causal Inference of Rewiring Strategies
- Detection of Odor Presence via Deep Neural Networks
- LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data
- Harnessing Input-Adaptive Inference for Efficient VLN
- Forecasting Binary Economic Events in Modern Mercantilism: Traditional methodologies coupled with PCA and K-means Quantitative Analysis of Qualitative Sentimental Data
- Cross-BCI, A Cross-BCI-Paradigm Classifica-tion Model Towards Universal BCI Applications
- NEFMind: Parameter-Efficient Fine-Tuning of Open-Source LLMs for Telecom APIs Automation
- Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
- Blockchain Network Analysis using Quantum Inspired Graph Neural Networks & Ensemble Models
- PETLP: A Privacy-by-Design Pipeline for Social Media Data in AI Research
- Beyond Technocratic XAI: The Who, What & How in Explanation Design
- Objective Soups: Multilingual Multi-Task Modeling for Speech Processing
- GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction
- From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training
- HumanOLAT: A Large-Scale Dataset for Full-Body Human Relighting and Novel-View Synthesis
- Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices
- Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking
- SinLlama -- A Large Language Model for Sinhala
- Constrained free energy minimization for the design of thermal states and stabilizer thermodynamic systems
- AutoCodeBench: Large Language Models are Automatic Code Benchmark Generators
- Towards Universal Neural Likelihood Inference
- Chi-Geometry: A Library for Benchmarking Chirality Prediction of GNNs
- Deep Learning Models for Robust Facial Liveness Detection
- Scaling Up Active Testing to Large Language Models
- Utilizing Multilingual Encoders to Improve Large Language Models for Low-Resource Languages
- SPARC: Soft Probabilistic Adaptive multi-interest Retrieval Model via Codebooks for recommender system
- Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring
- Efficient motion-based metrics for video frame interpolation
- Scaling Learned Image Compression Models up to 1 Billion
- Meta-learning optimizes predictions of missing links in real-world networks
- A new dataset and comparison for multi-camera frame synthesis
- VertexRegen: Mesh Generation with Continuous Level of Detail
- Developing a Transferable Federated Network Intrusion Detection System
- Causal Machine Learning for Patient-Level Intraoperative Opioid Dose Prediction from Electronic Health Records
- ALFred: An Active Learning Framework for Real-world Semi-supervised Anomaly Detection with Adaptive Thresholds
- FetFIDS: A Feature Embedding Attention based Federated Network Intrusion Detection Algorithm
- Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins
- CVCM Track Circuits Pre-emptive Failure Diagnostics for Predictive Maintenance Using Deep Neural Networks
- Per-Query Visual Concept Learning
- First, Do No Harm: AI Supervisor Scaffolds Novice Growth in Counselor Education
- Can We Trust AI to Govern AI? Benchmarking LLM Performance on Privacy and AI Governance Exams
- P/D-Device: Disaggregated Large Language Model between Cloud and Devices
- A First Look at Predictability and Explainability of Pre-request Passenger Waiting Time in Ridesharing Systems
- E3-Rewrite: Learning to Rewrite SQL for Executability, Equivalence,and Efficiency
- Leveraging Unlabeled Data from Unknown Sources via Dual-Path Guidance for Deepfake Face Detection
- Attacks and Defenses Against LLM Fingerprinting
- Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
- LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
- Towards Perfection: Building Inter-component Mutual Correction for Retinex-based Low-light Image Enhancement
- MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation
- UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
- Spatial-Temporal Multi-Scale Quantization for Flexible Motion Generation
- ColorGPT: Leveraging Large Language Models for Multimodal Color Recommendation
- Low-Regret and Low-Complexity Learning for Hierarchical Inference
- Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
- Urban-STA4CLC: Urban Theory-Informed Spatio-Temporal Attention Model for Predicting Post-Disaster Commercial Land Use Change
- Text-conditioned State Space Model For Domain-generalized Change Detection Visual Question Answering
- Revealing the Role of Audio Channels in ASR Performance Degradation
- Integrating attention into explanation frameworks for language and vision transformers
- QAMRO: Quality-aware Adaptive Margin Ranking Optimization for Human-aligned Assessment of Audio Generation Systems
- Fre-CW: Targeted Attack on Time Series Forecasting using Frequency Domain Loss
- GRAVITY: A Controversial Graph Representation Learning for Vertex Classification
- Generalising Traffic Forecasting to Regions without Traffic Observations
- UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition
- Jointly Generating and Attributing Answers using Logits of Document-Identifier Tokens
- MADPromptS: Unlocking Zero-Shot Morphing Attack Detection with Multiple Prompt Aggregation
- Accelerated Volumetric Compression without Hierarchies: A Fourier Feature Based Implicit Neural Representation Approach
- LNN-PINN: A Unified Physics-Only Training Framework with Liquid Residual Blocks
- EGGCodec: A Robust Neural Encodec Framework for EGG Reconstruction and F0 Extraction
- Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions
- Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning
- Stationarity Exploration for Multivariate Time Series Forecasting
- A Pseudo Global Fusion Paradigm-Based Cross-View Network for LiDAR-Based Place Recognition
- Automatic and standardized surgical reporting for central nervous system tumors
- Munsit at NADI 2025 Shared Task 2: Pushing the Boundaries of Multidialectal Arabic ASR with Weakly Supervised Pretraining and Continual Supervised Fine-tuning
- Masked Clustering Prediction for Unsupervised Point Cloud Pre-training
- DSER: Spectral Epipolar Representation for Efficient Light Field Depth Estimation
- Sound Signal Synthesis with Auxiliary Classifier GAN, COVID-19 cough as an example
- Preview WB-DH: Towards Whole Body Digital Human Bench for the Generation of Whole-body Talking Avatar Videos
- Position: Causal Machine Learning Requires Rigorous Synthetic Experiments for Broader Adoption
- Reducing Cognitive Overhead in Tool Use via Multi-Small-Agent Reinforcement Learning
- Hi-fi functional priors by learning activations
- Towards Scalable Lottery Ticket Networks using Genetic Algorithms
- Weakly Supervised Fine-grained Span-Level Framework for Chinese Radiology Report Quality Assurance
- GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments
- Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
- BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Injection
- Frequency-Assisted Adaptive Sharpening Scheme Considering Bitrate and Quality Tradeoff
- Adaptive High-Frequency Preprocessing for Video Coding
- Steering Towards Fairness: Mitigating Political Bias in LLMs
- Debiasing International Attitudes: LLM Agents for Simulating US-China Perception Changes
- EditMF: Drawing an Invisible Fingerprint for Your Large Language Models
- Image selective encryption analysis using mutual information in CNN based embedding space
- DiffPhysCam: Differentiable Physics-Based Camera Simulation for Inverse Rendering and Embodied AI
- Silicon Minds versus Human Hearts: The Wisdom of Crowds Beats the Wisdom of AI in Emotion Recognition
- TiMoE: Time-Aware Mixture of Language Experts
- Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
- A Parametric Bi-Directional Curvature-Based Framework for Image Artifact Classification and Quantification
- OISMA: On-the-fly In-memory Stochastic Multiplication Architecture for Matrix-Multiplication Workloads
- GRainsaCK: a Comprehensive Software Library for Benchmarking Explanations of Link Prediction Tasks on Knowledge Graphs
- TempOpt -- Unsupervised Alarm Relation Learning for Telecommunication Networks
- Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment
- Not in My Backyard! Temporal Voting Over Public Chores
- Identity-Preserving Aging and De-Aging of Faces in the StyleGAN Latent Space
- Opening Musical Creativity? Embedded Ideologies in Generative-AI Music Systems
- TechOps: Technical Documentation Templates for the AI Act
- MonoPartNeRF:Human Reconstruction from Monocular Video via Part-Based Neural Radiance Fields
- A Dual-Axis Taxonomy of Knowledge Editing for LLMs: From Mechanisms to Functions
- Region-Adaptive Video Sharpening via Rate-Perception Optimization
- ReQuestNet: A Foundational Learning model for Channel Estimation
- DiffPose-Animal: A Language-Conditioned Diffusion Framework for Animal Pose Estimation
- SHREC 2025: Retrieval of Optimal Objects for Multi-modal Enhanced Language and Spatial Assistance (ROOMELSA)
- Subsampling Factorization Machine Annealing
- Evaluating Podcast Recommendations with Profile-Aware LLM-as-a-Judge
- Differentiated Information Mining: A Semi-supervised Learning Framework for GNNs
- Bridging the Gap: A Framework for Real-World Video Deepfake Detection via Social Network Compression Emulation
- Bio-Inspired Artificial Neural Networks based on Predictive Coding
- Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
- Visual Prompting for Robotic Manipulation with Annotation-Guided Pick-and-Place Using ACT
- Magical: Medical Lay Language Generation via Semantic Invariance and Layperson-tailored Adaptation
- Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
- IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
- MultiGen: Child-Friendly Multilingual Speech Generator with LLMs
- Adaptive Confidence-Wise Loss for Improved Lens Structure Segmentation in AS-OCT
- SafeFix: Targeted Model Repair via Controlled Image Generation
- Subjective and Objective Quality Assessment of Banding Artifacts on Compressed Videos
- ROD: RGB-Only Fast and Efficient Off-road Freespace Detection
- PADReg: Physics-Aware Deformable Registration Guided by Contact Force for Ultrasound Sequences
- Out of the Box, into the Clinic? Evaluating State-of-the-Art ASR for Clinical Applications for Older Adults
- TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation
- MMIF-AMIN: Adaptive Loss-Driven Multi-Scale Invertible Dense Network for Multimodal Medical Image Fusion
- Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL
- In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality
- Imposing AI: Deceptive design patterns against sustainability
- Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
- Hallucinations in Code Change to Natural Language Generation: Prevalence and Evaluation of Detection Metrics
- Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
- Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem
- M2LLM: Multi-view Molecular Representation Learning with Large Language Models
- LLM driven Text-to-Table Generation through Sub-Tasks Guidance and Iterative Refinement
- Prompt-and-Check: Using Large Language Models to Evaluate Communication Protocol Compliance in Simulation-Based Training
- Prompt-Based Approach for Czech Sentiment Analysis
- UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection
- LLaMA-Based Models for Aspect-Based Sentiment Analysis
- P-CAFE: Personalized Cost-Aware Incremental Feature Selection For Electronic Health Records
- Classifier Language Models: Unifying Sparse Finetuning and Adaptive Tokenization for Specialized Classification Tasks
- Adaptive Personalized Conversational Information Retrieval
- Diminution: On Reducing the Size of Grounding ASP Programs
- QoE-Aware Service Provision for Mobile AR Rendering: An Agent-Driven Approach
- Dynamic Rank Adjustment for Accurate and Efficient Neural Network Training
- UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss
- Hierarchical Visual Prompt Learning for Continual Video Instance Segmentation
- Neural Artistic Style and Color Transfer Using Deep Learning
- Distributed optimization: designed for federated learning
- SelfHVD: Self-Supervised Handheld Video Deblurring
- Yan: Foundational Interactive Video Generation
- Generative AI for Critical Infrastructure in Smart Grids: A Unified Framework for Synthetic Data Generation and Anomaly Detection
- DepressLLM: Interpretable domain-adapted language model for depression detection from real-world narratives
- QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection
- RealisMotion: Decomposed Human Motion Control and Video Generation in the World Space
- AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders
- Who Pays the RENT? Implications of Spatial Inequality for Prediction-Based Allocation Policies
- Think as Cardiac Sonographers: Marrying SAM with Left Ventricular Indicators Measurements According to Clinical Guidelines
- Kernel Two-Sample Testing via Directional Components Analysis
- Multi-Target Backdoor Attacks Against Speaker Recognition
- SHEFL: Sparse Heterogeneous Ensemble Federated Learning with Group-Balanced Aggregation
- UQGNN: Uncertainty Quantification of Graph Neural Networks for Multivariate Spatiotemporal Prediction
- Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
- Calibration Attention: Learning Reliability-Aware Representations for Vision Transformers
- OmniLLP: Enhancing LLM-based Log Level Prediction with Context-Aware Retrieval
- Hybrid Long and Short Range Flows for Point Cloud Filtering
- Biased Local SGD for Efficient Deep Learning on Heterogeneous Systems
- Training Kindai OCR with parallel textline images and self-attention feature distance-based loss
- LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Framework