Papers
Wed 26 Nov 2025
378 papers
- MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented GenerationRetrieval-augmented generation → Multimodal RAG
- Graph-O1 : Monte Carlo Tree Search with Reinforcement Learning for Text-Attributed Graph ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +1
- Towards Reasoning-Preserving Unlearning in Multimodal Large Language ModelsLLM reasoning → Reasoning for agents, planning and code +2
- Efficient Multi-Adapter LLM Serving via Cross-Model KV-Cache Reuse with Activated LoRAEfficient LLM inference and serving → Serving systems and request scheduling
- Reinforcement Learning for Latent-Space Thinking in LLMsLLM reasoning → Prompting and chain-of-thought reasoning
- Quantum Circuit Reasoning Models: A Variational Framework for Differentiable Logical InferenceLLM reasoning → Reinforcement learning for reasoning
- FAIM: Frequency-Aware Interactive Mamba for Time Series ClassificationState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
- GPU Memory Prediction for Multimodal Model TrainingLLM agents and tool use → Software engineering coding agents
- SABER: Small Actions, Big Errors -- Safeguarding Mutating Steps in LLM AgentsLLM agents and tool use → Software engineering coding agents
- AI Urban Scientist: Multi-Agent Collaborative Automation for Urban ResearchLLM agents and tool use → Multimodal and embodied agents
- Optimizing Life Sciences Agents in Real-Time using Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- Beyond Confidence: Adaptive and Coherent Decoding for Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- HMARK: Radioactive Multi-Bit Semantic-Latent Watermarking for Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- Exploring Automated Recognition of Instructional Activity and Discourse from Multimodal Classroom DataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Hyper-GoalNet: Goal-Conditioned Manipulation Policy Learning with HyperNetworksDeep reinforcement learning methods → RL for robot locomotion and manipulation
- A Fast and Efficient Modern BERT based Text-Conditioned Diffusion Model for Medical Image SegmentationDiffusion models → Medical imaging and segmentation
- Exploring Diagnostic Prompting Approach for Multimodal LLM-based Visual Complexity Assessment: A Case Study of Amazon Search Result PagesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PAT3D: Physics-Augmented Text-to-3D Scene GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Prompted Policy Search: Reinforcement Learning through Linguistic and Numerical Reasoning in LLMsLLM reasoning → Reinforcement learning for reasoning
- OpenTwinMap: An Open-Source Digital Twin Generator for Urban Autonomous DrivingWorld models → World models for autonomous driving +1
- PathReasoning: A multimodal reasoning agent for query-based ROI navigation on whole-slide imagesLLM reasoning → Clinical and biomedical applications
- From Discrete Plans to Real-World Execution: A World-Model-Driven Framework for Execution-Aware Multi-Agent Path FindingWorld models → World models for language agents
- Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional TrainingDiffusion models → Diffusion foundations and sampling
- OOCO: Latency-disaggregated Architecture for Online-Offline Co-locate LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
- Towards a Foundation Model for Partial Differential Equations Across Physics DomainsLLM reasoning → Spatial and embodied reasoning
- Massively Parallel Imitation Learning of Mouse Forelimb Musculoskeletal Reaching DynamicsOffline RL and imitation learning from data → Real-world robot offline RL
- 3MDiT: Unified Tri-Modal Diffusion Transformer for Text-Driven Synchronized Audio-Video GenerationDiffusion models → Audio, speech and music
- Canvas-to-Image: Compositional Image Generation with Multimodal ControlsDiffusion models → Image generation, text-to-image and editing
- TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment VideosWorld models → Embodied and robot world models
- G2VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation FrameworkLLM agents and tool use → Software engineering coding agents +1
- Agentic Learner with Grow-and-Refine Multimodal Semantic MemoryLLM reasoning → Multimodal reasoning +1
- DSD: A Distributed Speculative Decoding Solution for Edge-Cloud Agile Large Model ServingEfficient LLM inference and serving → Early exit and edge inference
- Escaping the Verifier: Learning to Reason via DemonstrationsLLM reasoning → Reinforcement learning for reasoning
- Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-FollowingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- EvilGenie: A Reward Hacking BenchmarkLLM alignment / RLHF / preference optimisation → Reward hacking and misspecification
- Iterative GRPO: Batch-Online Multi-Turn RL via Single-Turn RLHFLLM reasoning → Reinforcement learning for reasoning +2
- Qwen3-VL Technical ReportMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Robust Spectral Watermark for Synthetic Tabular DataLLM safety and security → Watermarking generated content and models
- Closed Form HJB Solution for Continuous-Time Optimal Control of a Non-Linear Input-Affine SystemDeep reinforcement learning methods → RL theory and sample complexity
- MoGAN: Improving Motion Quality in Video Diffusion via Few-Step Motion Adversarial Post-TrainingDiffusion models → Video generation
- Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- Learning When to Stop: Adaptive Latent Reasoning via Reinforcement LearningLLM reasoning → Test-time compute and efficient thinking
- BAMAS: Structuring Budget-Aware Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
- RoParQ: Paraphrase-Aware Alignment of Large Language Models Towards Robustness to Paraphrased QuestionsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- VacuumVLA: Boosting VLA Capabilities via a Unified Suction and Gripping Tool for Complex Robotic ManipulationVision-language-action models → Tactile, force-aware and humanoid VLA
- MMA: A Momentum Mamba Architecture for Human Activity Recognition with Inertial SensorsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
- Seeing Twice: How Side-by-Side T2I Comparison Changes Auditing StrategiesLLM safety and security → Vision-language and text-to-image safety
- E0: Enhancing Generalization and Fine-Grained Control in VLA Models via Tweedie Discrete DiffusionVision-language-action models → Efficient VLA inference and adaptation +1
- Video Generation Models Are Good Latent Reward ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Context-Specific Causal Graph Discovery with Unobserved Contexts: Non-Stationarity, Regimes and Spatio-Temporal PatternsLLM reasoning → Causal reasoning in LLMs
- Predictive Safety Shield for Dyna-Q Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
- Pessimistic Verification for Open Ended Math QuestionsDeep reinforcement learning methods → RL training of language and agent models
- Mechanistic Interpretability for Transformer-based Time Series ClassificationMechanistic interpretability → Interpreting time-series and weather models
- Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot CooperationLLM agents and tool use → General LLM agent frameworks and benchmarks
- CanKD: Cross-Attention-based Non-local operation for Feature-based Knowledge DistillationKnowledge distillation → Detection and dense prediction distillation
- Frequency-Aware Token Reduction for Efficient Vision TransformerEfficient LLM inference and serving → Token pruning and merging for ViTs
- MobileI2V: Fast and High-Resolution Image-to-Video on Mobile DevicesDiffusion models → Video generation
- SpatialBench: Benchmarking Multimodal Large Language Models for Spatial CognitionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- MADRA: Multi-Agent Debate for Risk-Aware Embodied PlanningLLM agents and tool use → Agent threats, guardrails and governance
- EWE: An Agentic Framework for Extreme Weather AnalysisLLM agents and tool use → Financial trading and forecasting agents
- Conversational No-code, Multi-agentic Disease Module Identification and Drug Repurposing Prediction with ChatDRexLLM agents and tool use → Medical and scientific domain agents
- MemFine: Memory-Aware Fine-Grained Scheduling for MoE TrainingMixture-of-experts → Efficient MoE training and inference systems
- From Observation to Action: Latent Action-based Primitive Segmentation for VLA Pre-training in Industrial SettingsVision-language-action models → Human-video and latent-action pretraining
- DiverseVAR: Balancing Diversity and Quality of Next-Scale Visual Autoregressive ModelsDiffusion models → Image generation, text-to-image and editing
- Knowledge Distillation for Continual Learning of Biomedical Neural FieldsKnowledge distillation → Distillation for continual learning
- Subjective Depth and Timescale Transformers: Learning Where and When to ComputeEfficient LLM inference and serving → Early exit and edge inference
- Decentralized Shepherding of Non-Cohesive Swarms Through Cluttered Environments via Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
- Text-to-SQL as Dual-State Reasoning: Integrating Adaptive Context and Progressive GenerationLLM reasoning → Knowledge- and tool-augmented reasoning
- Steering Awareness: Detecting Activation Steering from WithinMechanistic interpretability → Activation steering methods
- Prune4Web: DOM Tree Pruning Programming for Web AgentLLM agents and tool use → Web, search, and research agents
- Understanding the Effects of Distractors on Reasoning Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- Monet: Reasoning in Latent Visual Space Beyond Images and LanguageLLM reasoning → Multimodal reasoning
- Multi-Agent Systems for Dataset Adaptation in Software Engineering: Capabilities, Limitations, and Future DirectionsLLM agents and tool use → Software engineering coding agents
- Thinking With Bounding Boxes: Enhancing Spatio-Temporal Video Grounding via Reinforcement Fine-TuningLLM reasoning → Multimodal reasoning
- Hybrid-AIRL: Enhancing Inverse Reinforcement Learning with Supervised Expert GuidanceOffline RL and imitation learning from data → Inverse reinforcement learning +1
- Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music MixturesDiffusion models → Audio, speech and music
- SurgMLLMBench: A Multimodal Large Language Model Benchmark Dataset for Surgical Scene UnderstandingMultimodal LLMs / vision-language models → Medical vision-language models
- Masks Can Be Distracting: On Context Comprehension in Diffusion Language ModelsDiffusion models → Discrete and text diffusion
- TSGM: Regular and Irregular Time-series Generation using Score-based Generative ModelsDiffusion models → Diffusion foundations and sampling
- Sawtooth Sampling for Time Series Denoising Diffusion Implicit ModelsDiffusion models → Diffusion foundations and sampling
- PathMamba: A Hybrid Mamba-Transformer for Topologically Coherent Road Segmentation in Satellite ImageryState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- Co-Training Vision Language Models for Remote Sensing Multi-task LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Multi-Reward GRPO for Stable and Prosodic Single-Codebook TTS LLMs at ScaleLLM reasoning → Reinforcement learning for reasoning
- LaGen: Towards Autoregressive LiDAR Scene GenerationWorld models → World modeling from LiDAR generation
- AuthenLoRA: Entangling Stylization with Imperceptible Watermarks for Copyright-Secure LoRA AdaptersDiffusion models → Robustness, privacy and adversarial aspects
- From Diffusion to One-Step Generation: A Comparative Study of Flow-Based Models with Application to Image InpaintingDiffusion models → 3D, point cloud and scene generation
- Self-Guided Adaptive Safety Alignment: Synthesizing and Internalizing Guidelines in Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +2
- When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action ModelsVision-language-action models → Safety and adversarial attacks
- Scenes as Tokens: Multi-Scale Normal Distributions Transform Tokenizer for General 3D Vision-Language UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Progress by Pieces: Test-Time Scaling for Autoregressive Image GenerationLLM reasoning → Multimodal reasoning
- CAHS-Attack: CLIP-Aware Heuristic Search Attack Method for Stable DiffusionDiffusion models → Robustness, privacy and adversarial aspects +1
- Kinematics-Aware Multi-Policy Reinforcement Learning for Force-Capable Humanoid Loco-ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
- LLaVA-UHD v3: Progressive Visual Compression for Efficient Native-Resolution Encoding in MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
- Maglev-Pentabot: Magnetic Levitation System for Non-Contact Manipulation using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
- TEAR: Temporal-aware Automated Red-teaming for Text-to-Video ModelsLLM safety and security → Vision-language and text-to-image safety
- Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive LearningDiffusion models → Video generation
- CtrlVDiff: Controllable Video Generation via Unified Multimodal Video DiffusionDiffusion models → Video generation
- Beyond Patch Aggregation: 3-Pass Pyramid Indexing for Vision-Enhanced Document RetrievalRetrieval-augmented generation → Multimodal RAG
All 378
- EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision TokensMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- RLM: A Vision-Language Model Approach for Radar Scene UnderstandingMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- From Bits to Rounds: Parallel Decoding with Exploration for Diffusion Language ModelsDiffusion models → Discrete and text diffusion +1
- Mortgage Language Model: Domain-Adaptive Pretraining with Residual Instruction, Alignment Tuning, and Task-Specific RoutingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- MLPMoE: Zero-Shot Architectural Metamorphosis of Dense LLM MLPs into Static Mixture-of-ExpertsMixture-of-experts → MoE large language models
- 5G Network Automation Using Local Large Language Models and Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Dual-Agent Reinforcement Learning for Adaptive and Cost-Aware Visual-Inertial OdometryDeep reinforcement learning methods → RL for robot navigation and UAV control
- OVOD-Agent: A Markov-Bandit Framework for Proactive Visual Reasoning and Self-Evolving DetectionLLM reasoning → Multimodal reasoning +2
- MUSE: Manipulating Unified Framework for Synthesizing Emotions in Images via Test-Time OptimizationDiffusion models → Audio, speech and music
- Breaking the Safety-Capability Tradeoff: Reinforcement Learning with Verifiable Rewards Maintains Safety Guardrails in LLMsLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
- Towards Trustworthy Legal AI through LLM Agents and Formal ReasoningLLM reasoning → Reasoning for agents, planning and code +1
- Deep Parameter Interpolation for Scalar ConditioningDiffusion models → Diffusion foundations and sampling
- CameraMaster: Unified Camera Semantic-Parameter Control for Photography RetouchingDiffusion models → Image generation, text-to-image and editing
- Staggered Environment Resets Improve Massively Parallel On-Policy Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
- ICPO: Intrinsic Confidence-Driven Group Relative Preference Optimization for Efficient Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning +2
- Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image CaptioningRetrieval-augmented generation → Multimodal RAG
- GuardTrace-VL: Detecting Unsafe Multimodel Reasoning via Iterative Safety SupervisionLLM reasoning → Reasoning for agents, planning and code
- Dataset Poisoning Attacks on Behavioral Cloning PoliciesOffline RL and imitation learning from data → Offline RL algorithms +1
- Inversion-Free Style Transfer with Dual Rectified FlowsDiffusion models → Image generation, text-to-image and editing
- Independent policy gradient-based reinforcement learning for economic and reliable energy management of multi-microgrid systemsDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Audio Token Compression in Large Audio Language ModelsEfficient LLM inference and serving → Audio and omni-modal token compression
- Chatty-KG: A Multi-Agent AI System for On-Demand Conversational Question Answering over Knowledge GraphsLLM agents and tool use → Web, search, and research agents
- ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric InteractionWorld models → World models for navigation
- CAT: A Metric-Driven Framework for Analyzing the Consistency-Accuracy Relation of LLMs under Controlled Input Variations
- GPU-Virt-Bench: A Comprehensive Benchmarking Framework for Software-Based GPU Virtualization Systems
- Totalitarian Technics: The Hidden Cost of AI Scribes in Healthcare
- Manifolds and Modules: How Function Develops in a Neural Foundation Model
- Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
- LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline
- Command & Control (C2) Traffic Detection Via Algorithm Generated Domain (Dga) Classification Using Deep Learning And Natural Language Processing
- Using Text-Based Life Trajectories from Swedish Register Data to Predict Residential Mobility with Pretrained Transformers
- Pattern Recognition of Ozone-Depleting Substance Exports in Global Trade Data
- SetAD: Semi-Supervised Anomaly Learning in Contextual Sets
- Integrating LSTM Networks with Neural Levy Processes for Financial Forecasting
- SA2GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
- Medical Test-free Disease Detection Based on Big Data
- LAPA: Log-Domain Prediction-Driven Dynamic Sparsity Accelerator for Transformer Model
- HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting
- RaX-Crash: A Resource Efficient and Explainable Small Model Pipeline with an Application to City Scale Injury Severity Prediction
- Accelerating Materials Discovery: Learning a Universal Representation of Chemical Processes for Cross-Domain Property Prediction
- Globally optimized SVD compression of LLMs via Fermi-function-based rank selection and gauge fixing
- PIBNet: a Physics-Inspired Boundary Network for Multiple Scattering Simulations
- The Impact of Artificial Intelligence on Enterprise Decision-Making Process
- Deep Filament Extraction for 3D Concrete Printing
- TeleViT1.0: Teleconnection-aware Vision Transformers for Subseasonal to Seasonal Wildfire Pattern Forecasts
- Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
- Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs
- Digital Elevation Model Estimation from RGB Satellite Imagery using Generative Deep Learning
- PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation
- DialBench: Towards Accurate Reading Recognition of Pointer Meter using Large Foundation Models
- The Risk-Adjusted Intelligence Dividend: A Quantitative Framework for Measuring AI Return on Investment Integrating ISO 42001 and Regulatory Exposure
- Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical Ambiguity
- MOTIF-RF: Multi-template On-chip Transformer Synthesis Incorporating Frequency-domain Self-transfer Learning for RFIC Design Automation
- CTR Prediction on Alibaba's Taobao Advertising Dataset Using Traditional and Deep Learning Models
- DeepGI: Explainable Deep Learning for Gastrointestinal Image Classification
- ABLE: Using Adversarial Pairs to Construct Local Models for Explaining Model Predictions
- WalkCLIP: Multimodal Learning for Urban Walkability Prediction
- TAPVid-360: Tracking Any Point in 360 from Narrow Field of View Video
- GENA3D: Generative Amodal 3D Modeling by Bridging 2D Priors and 3D Coherence
- Deep Learning Architectures for Code-Modulated Visual Evoked Potentials Detection
- Interpretable Multimodal Cancer Prototyping with Whole Slide Images and Incompletely Paired Genomics
- Breaking Algorithmic Collusion in Human-AI Ecosystems
- Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
- Modeling Quantum Autoencoder Trainable Kernel for IoT Anomaly Detection
- Does the Model Say What the Data Says? A Simple Heuristic for Model Data Alignment
- A Comparative Study of LLM Prompting and Fine-Tuning for Cross-genre Authorship Attribution on Chinese Lyrics
- Comparing SAM 2 and SAM 3 for Zero-Shot Segmentation of 3D Medical Data
- Exploring Dynamic Properties of Backdoor Training Through Information Bottleneck
- Toward Automated and Trustworthy Scientific Analysis and Visualization with LLM-Generated Code
- Algorithms and Scientific Software for Quasi-Monte Carlo, Fast Gaussian Process Regression, and Scientific Machine Learning
- Tracing How Annotators Think: Augmenting Preference Judgments with Reading Processes
- A Customer Journey in the Land of Oz: Leveraging the Wizard of Oz Technique to Model Emotions in Customer Service Interactions
- Multi-Modal Machine Learning for Early Trust Prediction in Human-AI Interaction Using Face Image and GSR Bio Signals
- Adaptive Parameter Optimization for Robust Remote Photoplethysmography
- Standardized Threat Taxonomy for AI Security, Governance, and Regulatory Compliance
- Beyond Atoms: Evaluating Electron Density Representation for 3D Molecular Learning
- Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings
- Sparse Multiple Kernel Learning: Alternating Best Response and Semidefinite Relaxations
- Exploring Fusion Strategies for Multimodal Vision-Language Systems
- UniArt: Unified 3D Representation for Generating 3D Articulated Objects with Open-Set Articulation
- Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
- Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
- LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systems
- Differential privacy from axioms
- Advancing Marine Bioacoustics with Deep Generative Models: A Hybrid Augmentation Strategy for Southern Resident Killer Whale Detection
- Invited to Develop: Institutional Belonging and the Counterfactual Architecture of Development
- Improving Score Reliability of Multiple Choice Benchmarks with Consistency Evaluation and Altered Answer Choices
- Lightweight ML-Based Air Quality Prediction for IoT and Embedded Applications
- LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
- FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers
- Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
- Dark Speculation: Combining Qualitative and Quantitative Understanding in Frontier AI Risk Analysis
- Evaluating Strategies for Synthesizing Clinical Notes for Medical Multimodal AI
- Beyond Membership: Limitations of Add/Remove Adjacency in Differential Privacy
- Tacit Bidder-Side Collusion: Artificial Intelligence in Dynamic Auctions
- The Double-Edged Nature of the Rashomon Set for Trustworthy Machine Learning
- Multiclass threshold-based classification and model evaluation
- Reducing research bureaucracy in UK higher education: Can generative AI assist with the internal evaluation of quality?
- Dynamical Implicit Neural Representations
- Physics-Informed Spiking Neural Networks via Conservative Flux Quantization
- BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony
- Aligning Artificial Superintelligence via a Multi-Box Protocol
- Artificial intelligence for methane detection: from continuous monitoring to verified mitigation
- Revisiting Generalization Across Difficulty Levels: It's Not So Easy
- ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
- Seeing without Pixels: Perception from Camera Trajectories
- On Evolution-Based Models for Experimentation Under Interference
- Revolutionizing Glioma Segmentation & Grading Using 3D MRI - Guided Hybrid Deep Learning Models
- Through the telecom lens: Are all training samples important?
- Uncertainty Quantification for Visual Object Pose Estimation: S-Lemma Ellipsoidal Bounds
- CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow
- Continual Error Correction on Low-Resource Devices
- Bridging the Unavoidable A Priori: A Framework for Comparative Causal Modeling
- Mechanisms of Non-Monotonic Scaling in Vision Transformers
- The author is dead, but what if they never lived? A reception experiment on Czech AI- and human-authored poetry
- Scale-Agnostic Kolmogorov-Arnold Geometry in Neural Networks
- Active Learning for GCN-based Action Recognition
- TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
- On the Origin of Algorithmic Progress in AI
- Beyond URLs: Metadata Diversity and Position for Efficient LLM Pretraining
- Auxiliary Metrics Help Decoding Skill Neurons in the Wild
- Beyond Accuracy: An Empirical Study of Uncertainty Estimation in Imputation
- ReSAM: Refine, Requery, and Reinforce: Self-Prompting Point-Supervised Segmentation for Remote Sensing Images
- Visualizing LLM Latent Space Geometry Through Dimensionality Reduction
- On the Limits of Innate Planning in Large Language Models
- An AI-Enabled Hybrid Cyber-Physical Framework for Adaptive Control in Smart Grids
- Data-Augmented Multimodal Feature Fusion for Multiclass Visual Recognition of Oral Cancer Lesions
- Harmony: Harmonizing Audio and Video Generation through Cross-Task Synergy
- HarmonicAttack: An Adaptive Cross-Domain Audio Watermark Removal
- Enhanced Landmark Detection Model in Pelvic Fluoroscopy using 2D/3D Registration Loss
- Multimodal Robust Prompt Distillation for 3D Point Cloud Models
- From Prediction to Foresight: The Role of AI in Designing Responsible Futures
- AI Identity Disclosure Under Professional Personas: A Gap Between Capacity and Consistency
- A decoupled alignment kernel for peptide membrane permeability predictions
- UAVLight: A Benchmark for Illumination-Robust 3D Reconstruction in Unmanned Aerial Vehicle (UAV) Scenes
- Some aspects of robustness in modern Markov Chain Monte Carlo
- Machine Learning Approaches to Clinical Risk Prediction: Multi-Scale Temporal Alignment in Electronic Health Records
- Computing Strategic Responses to Non-Linear Classifiers
- Bangla Sign Language Translation: Dataset Creation Challenges, Benchmarking and Prospects
- The Age-specific Alzheimer 's Disease Prediction with Characteristic Constraints in Nonuniform Time Span
- Phase Transition for Stochastic Block Model with more than √n Communities (II)
- EoS-FM: Can an Ensemble of Specialist Models act as a Generalist Feature Extractor?
- Self-Paced Learning for Images of Antinuclear Antibodies
- Voice, Bias, and Coreference: An Interpretability Study of Gender in Speech Translation
- IntAttention: A Fully Integer Attention Pipeline for Efficient Edge Inference
- Generalized Design Choices for Deepfake Detectors
- Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation
- Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
- Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes
- Hierarchical Ranking Neural Network for Long Document Readability Assessment
- Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
- Ensemble Performance Through the Lens of Linear Independence of Classifier Votes in Data Streams
- The Phish, The Spam, and The Valid: Generating Feature-Rich Emails for Benchmarking LLMs
- EvRainDrop: HyperGraph-guided Completion for Effective Frame and Event Stream Aggregation
- A Systematic Study of In-the-Wild Model Merging for Large Language Models
- E-M3RF: An Equivariant Multimodal 3D Re-assembly Framework
- SAM Guided Semantic and Motion Changed Region Mining for Remote Sensing Change Captioning
- New Hybrid Heuristics for Pseudo-Boolean Propagation
- Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning
- SUPN: Shallow Universal Polynomial Networks for Efficient Function Approximation
- Automated Dynamic AI Inference Scaling on HPC-Infrastructure: Integrating Kubernetes, Slurm and vLLM
- Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
- RIA: A Ranking-Infused Approach for Optimized listwise CTR Prediction
- FITRep: Attention-Guided Item Representation via MLLMs
- BanglaASTE: A Novel Framework for Aspect-Sentiment-Opinion Extraction in Bangla E-commerce Reviews Using Ensemble Deep Learning
- Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data
- Controlling changes to attention logits
- Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations
- Endo-G2T: Geometry-Guided & Temporally Aware Time-Embedded 4DGS For Endoscopic Scenes
- PFF-Net: Patch Feature Fitting for Point Cloud Normal Estimation
- BanglaMM-Disaster: A Multimodal Transformer-Based Deep Learning Framework for Multiclass Disaster Classification in Bangla
- The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
- Best Practices for Machine Learning Experimentation in Scientific Applications
- Learning Multi-Order Block Structure in Higher-Order Networks
- Phase-Aware Code-Aided EM Algorithm for Blind Channel Estimation in PSK-Modulated OFDM
- Hybrid SIFT-SNN for Efficient Anomaly Detection of Traffic Flow-Control Infrastructure
- Emergent Lexical Semantics in Neural Language Models: Testing Martin's Law on LLM-Generated Text
- The More, the Merrier: Contrastive Fusion for Higher-Order Multimodal Alignment
- SONAR: Spectral-Contrastive Audio Residuals for Generalizable Deepfake Detection
- TALES: A Taxonomy and Analysis of Cultural Representations in LLM-generated Stories
- HTTM: Head-wise Temporal Token Merging for Faster VGGT
- CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation
- PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
- On the Periodic Orbits of the Dual Logarithmic Derivative Operator
- A Dynamics-Informed Gaussian Process Framework for 2D Stochastic Navier-Stokes via Quasi-Gaussianity
- Improvement of Collision Avoidance in Cut-In Maneuvers Using Time-to-Collision Metrics
- A physics-informed U-Net-LSTM network for nonlinear structural response under seismic excitation
- Unlocking Zero-shot Potential of Semi-dense Image Matching via Gaussian Splatting
- Causality Without Causal Models
- Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso
- AVFakeBench: A Comprehensive Audio-Video Forgery Detection Benchmark for AV-LMMs
- Shift-Equivariant Complex-Valued Convolutional Neural Networks
- The Spheres Dataset: Multitrack Orchestral Recordings for Music Source Separation and Information Retrieval
- FIELDS: Face reconstruction with accurate Inference of Expression using Learning with Direct Supervision
- 3-Tracer: A Tri-level Temporal-Aware Framework for Audio Forgery Detection and Localization
- RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI
- Developing an Open Conversational Speech Corpus for the Isan Language
- Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference
- Can Finetuing LLMs on Small Human Samples Increase Heterogeneity, Alignment, and Belief-Action Coherence?
- Lattice-to-Total Thermal Conductivity Ratio: A Phonon-Glass Electron-Crystal Descriptor for Data-Driven Thermoelectric Design
- Robust gene prioritization for Dietary Restriction via Fast-mRMR Feature Selection techniques
- I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
- Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition
- BotaCLIP: Contrastive Learning for Botany-Aware Representation of Earth Observation Data
- You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
- AnchorOPT: Towards Optimizing Dynamic Anchors for Adaptive Prompt Learning
- Privacy in Federated Learning with Spiking Neural Networks
- AV-Edit: Multimodal Generative Sound Effect Editing via Audio-Visual Semantic Joint Control
- STAR: Smartphone-analogous Typing in Augmented Reality
- How to Correctly Report LLM-as-a-Judge Evaluations
- Referring Video Object Segmentation with Cross-Modality Proxy Queries
- SocialNav: Training Human-Inspired Foundation Model for Socially-Aware Embodied Navigation
- DeepRFTv2: Kernel-level Learning for Image Deblurring
- Which Layer Causes Distribution Deviation? Entropy-Guided Adaptive Pruning for Diffusion and Flow Models
- Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
- Trustless Federated Learning at Edge-Scale: A Compositional Architecture for Decentralized, Verifiable, and Incentive-Aligned Coordination
- Nonconvex Penalized LAD Estimation in Partial Linear Models with DNNs: Asymptotic Analysis and Proximal Algorithms
- Deformation-aware Temporal Generation for Early Prediction of Alzheimers Disease
- FaithFusion: Harmonizing Reconstruction and Generation via Pixel-wise Information Gain
- Interpretable Fair Clustering
- Dynamic Stratified Contrastive Learning with Upstream Augmentation for MILP Branching
- BRIDGE: Building Representations In Domain Guided Program Synthesis
- Pygmalion Effect in Vision: Image-to-Clay Translation for Reflective Geometry Reconstruction
- CLRecogEye : Curriculum Learning towards exploiting convolution features for Dynamic Iris Recognition
- Target-Aware Early Stage Ranking
- MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
- ASR Error Correction in Low-Resource Burmese with Alignment-Enhanced Transformers using Phonetic Features
- MIRA: Multimodal Iterative Reasoning Agent for Image Editing
- Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language Models
- Enhancing Burmese News Classification with Kolmogorov-Arnold Network Head Fine-tuning
- Data-Driven Assessment of Concrete Slab Integrity via Impact-Echo Signals and Neural Networks
- Deceptron: Learned Local Inverses for Fast and Stable Physics Inversion
- Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning
- Inference for Similarity and Alignability between Noisy High-Dimensional Datasets
- Context-Aware Pragmatic Metacognitive Prompting for Sarcasm Detection
- G-Net: A Provably Easy Construction of High-Accuracy Random Binary Neural Networks
- Zipf Distributions from Two-Stage Symbolic Processes: Stability Under Stochastic Lexical Filtering
- Long-Term Alzheimers Disease Prediction: A Novel Image Generation Method Using Temporal Parameter Estimation with Normal Inverse Gamma Distribution on Uneven Time Series
- Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation
- Efficient Diffusion Planning with Temporal Diffusion
- AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios
- FedAPA: Federated Learning with Adaptive Prototype Aggregation Toward Heterogeneous Wi-Fi CSI-based Crowd Counting
- PG-ControlNet: A Physics-Guided ControlNet for Generative Spatially Varying Image Deblurring
- LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules
- CNN-LSTM Hybrid Architecture for Over-the-Air Automatic Modulation Classification Using SDR
- Semantic Anchors in In-Context Learning: Why Small LLMs Cannot Flip Their Labels
- RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
- Prediction of Herd Life in Dairy Cows Using Multi-Head Attention Transformers
- A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems
- FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation
- CaptionQA: Is Your Caption as Useful as the Image Itself?
- Structure-Aware Prototype Guided Trusted Multi-View Classification
- Probabilistic Wildfire Spread Prediction Using an Autoregressive Conditional Generative Adversarial Network
- Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression
- ChatGpt Content detection: A new approach using xlm-roberta alignment
- Estimating Ising Models in Total Variation Distance
- MetaRank: Task-Aware Metric Selection for Model Transferability Estimation
- TrackList: Tracing Back Query Linguistic Diversity for Head and Tail Knowledge in Open Large Language Models
- FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning
- From Inpainting to Layer Decomposition: Repurposing Generative Inpainting Models for Image Layer Decomposition
- Subgoal Graph-Augmented Planning for LLM-Guided Open-World Reinforcement Learning
- Wavefront-Constrained Passive Obscured Object Detection
- RefOnce: Distilling References into a Prototype Memory for Referring Camouflaged Object Detection
- Even with AI, Bijection Discovery is Still Hard: The Opportunities and Challenges of OpenEvolve for Novel Bijection Construction
- Privacy-Preserving Federated Vision Transformer Learning Leveraging Lightweight Homomorphic Encryption in Medical AI
- AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
- RosettaSpeech: Zero-Shot Speech-to-Speech Translation without Parallel Speech
- TrafficLens: Multi-Camera Traffic Video Analysis Using LLMs
- Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a 50,000 Kaggle Competition
- Geometric Calibration and Neutral Zones for Uncertainty-Aware Multi-Class Classification
- Beyond Realism: Learning the Art of Expressive Composition with StickerNet
- BUSTR: Descriptor-Aware Vision-Language Learning for Breast Ultrasound Report Generation
- SpaceX: Exploring metrics with the SPACE model for developer productivity
- Semantic Superiority vs. Forensic Efficiency: A Comparative Analysis of Deep Learning and Psycholinguistics for Business Email Compromise Detection
- Resilient Charging Infrastructure via Decentralized Coordination of Electric Vehicles at Scale
- Improving Procedural Skill Explanations via Constrained Generation: A Symbolic-LLM Hybrid Architecture
- Classical and quantum kernel fusion for two-sample testing
- Wavelet-Guided Water-Level Estimation for ISAC