Papers
Tue 25 Nov 2025
448 papers
- Safe and Sustainable Electric Bus Charging Scheduling with Constrained Hierarchical DRLDeep reinforcement learning methods → RL for energy, networks and operations
- A note on conditional PAC-efficient reasoning in large language model routingLLM reasoning → Test-time compute and efficient thinking
- Delta Sampling: Data-Free Knowledge Transfer Across Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Adapter Shield: A Unified Framework with Built-in Authentication for Preventing Unauthorized Zero-Shot Image-to-Image GenerationDiffusion models → Robustness, privacy and adversarial aspects
- Exploring Time-Step Size in Reinforcement Learning for Sepsis TreatmentOffline RL and imitation learning from data → Safe offline RL +1
- Emergence and Localisation of Semantic Role Circuits in LLMsMechanistic interpretability → Knowledge and representations inside LLMs
- DASIP: Dynamic Test-Time Compute Scaling for Robot Control with Stochastic Interpolant PoliciesLLM reasoning → Spatial and embodied reasoning +1
- Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding OptimisationDiffusion models → Image generation, text-to-image and editing
- Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving MemoryLLM agents and tool use → Agent memory systems +1
- Training-Free Diffusion Priors for Text-to-Image Generation via Optimization-based Visual InversionDiffusion models → Image generation, text-to-image and editing
- SAGE: An Agentic Explainer Framework for Interpreting SAE Features in Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- SPHINX: A Synthetic Environment for Visual Perception and ReasoningLLM reasoning → Multimodal reasoning
- Physics Steering: Causal Control of Cross-Domain Concepts in a Physics Foundation ModelMechanistic interpretability → Sparse autoencoder training and evaluation
- Revisiting KRISP: A Lightweight Reproduction and Analysis of Knowledge-Enhanced Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- LongVT: Incentivizing "Thinking with Long Videos" via Native Tool CallingLLM reasoning → Multimodal reasoning +2
- Text-Guided Semantic Image EncoderMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface DesignMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous DrivingVision-language-action models → VLA for autonomous driving +2
- Learning Multi-Access Point Coordination in Agentic AI Wi-Fi with Large Language ModelsLLM agents and tool use → Agentic AI for wireless networks
- Stabilizing Off-Policy Training for Long-Horizon LLM Agent via Turn-Level Importance Sampling and Clipping-Triggered NormalizationLLM reasoning → Reinforcement learning for reasoning +1
- Inferix: A Block-Diffusion based Next-Generation Inference Engine for World SimulationWorld models → Video-generation world models and simulators +2
- RubricRL: Simple Generalizable Rewards for Text-to-Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-RolloutDiffusion models → Video generation
- Diverse Video Generation with Determinantal Point Process-Guided Policy OptimizationDiffusion models → Video generation
- PixelDiT: Pixel Diffusion Transformers for Image GenerationDiffusion models → Diffusion foundations and sampling
- Vision-Language Memory for Spatial ReasoningLLM reasoning → Spatial and embodied reasoning +1
- Concept-Aware Batch Sampling Improves Language-Image PretrainingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Unleashing the Power of Vision-Language Models for Long-Tailed Multi-Label Visual RecognitionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Latent Collaboration in Multi-Agent SystemsLLM reasoning → Reasoning for agents, planning and code +1
- Image2Gcode: Image-to-G-code Generation for Additive Manufacturing Using Diffusion-Transformer ModelDiffusion models → 3D, point cloud and scene generation
- Reinforcing Action Policies by ProphesyingWorld models → Embodied and robot world models +1
- MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative ModelsLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- Fighting AI with AI: Leveraging Foundation Models for Assuring AI-Enabled Safety-Critical SystemsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
- On Evaluating LLM Alignment by Evaluating LLMs as JudgesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- BrowseSafe: Understanding and Preventing Prompt Injection Within AI Browser AgentsLLM safety and security → Prompt injection and agent security
- Latent Diffusion Inversion Requires Understanding the Latent SpaceDiffusion models → Diffusion foundations and sampling
- Attention Trajectories as a Diagnostic Axis for Deep Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
- Anatomica: Localized Control over Geometric and Topological Properties for Anatomical Diffusion ModelsDiffusion models → Medical imaging and segmentation
- A Reason-then-Describe Instruction Interpreter for Controllable Video GenerationDiffusion models → Video generation
- Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement LearningDiffusion models → Diffusion foundations and sampling +1
- Beyond Generation: Multi-Hop Reasoning for Factual Accuracy in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
- HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and GenerationDiffusion models → Image generation, text-to-image and editing
- HalDec-Bench: Benchmarking Hallucination Detector in Image CaptioningMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
- FRAGMENTA: End-to-end Fragmentation-based Generative Model with Agentic Tuning for Drug Lead OptimizationLLM agents and tool use → Medical and scientific domain agents
- Quantifying the Privacy Implications of High-Fidelity Synthetic Network TrafficLLM safety and security → Membership inference attacks
- Adversarial Confusion Attack: Disrupting Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- MTBBench: A Multimodal Sequential Clinical Decision-Making Benchmark in OncologyLLM reasoning → Clinical and biomedical applications +1
- Universe of Thoughts: Enabling Creative Reasoning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion ModelDiffusion models → Audio, speech and music
- DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMsLLM reasoning → Reasoning for agents, planning and code +1
- Object-Centric Vision Token Pruning for Vision Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- BRIC: Bridging Kinematic Plans and Physical Control at Test TimeDiffusion models → Diffusion and flow policies for robotics +1
- MajutsuCity: Language-driven Aesthetic-adaptive City Generation with Controllable 3D Assets and LayoutsWorld models → Video-generation world models and simulators
- Image-Free Timestep Distillation via Continuous-Time Consistency with Trajectory-Sampled PairsDiffusion models → Diffusion foundations and sampling
- BengaliFig: A Low-Resource Challenge for Figurative and Culturally Grounded Reasoning in BengaliLLM reasoning → Reasoning benchmarks and evaluation
- Model-Based Learning of Whittle indicesDeep reinforcement learning methods → RL theory and sample complexity
- FREE: Uncertainty-Aware Autoregression for Parallel Diffusion TransformersDiffusion models → Diffusion foundations and sampling +1
- Soft Adaptive Policy OptimizationLLM reasoning → Reinforcement learning for reasoning
- The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
- Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch ScenariosEfficient LLM inference and serving → Speculative decoding
- NNGPT: Rethinking AutoML with Large Language ModelsLLM reasoning → Multimodal reasoning
- AD-R1: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving with Impartial World ModelsWorld models → World models for autonomous driving +2
- TReFT: Taming Rectified Flow Models For One-Step Image TranslationDiffusion models → Flow matching, time series and science
- Improving Language Agents through BREW: Bootstrapping expeRientially-learned Environmental knoWledgeLLM agents and tool use → General LLM agent frameworks and benchmarks +1
- Forgetting by Pruning: Data Deletion in Join Cardinality EstimationLLM safety and security → Machine unlearning
- Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-RefinementSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
- DAPointMamba: Domain Adaptive Point Mamba for Point Cloud CompletionState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
- HVAdam: A Full-Dimension Adaptive OptimizerDiffusion models → Diffusion foundations and sampling
- HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction EnvironmentsDeep reinforcement learning methods → RL for robot locomotion and manipulation
- Beyond Components: Singular Vector-Based Interpretability of Transformer CircuitsMechanistic interpretability → Circuits and mechanistic analysis
- VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Advancing Image Classification with Discrete Diffusion Classification ModelingDiffusion models → Image generation, text-to-image and editing
- The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image GenerationLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment +1
- Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment UpdatesDeep reinforcement learning methods → Quantum reinforcement learning
- Leveraging weights signals -- Predicting and improving generalizability in reinforcement learningDeep reinforcement learning methods → Deep RL algorithms and representations
- HKRAG: Holistic Knowledge Retrieval-Augmented Generation Over Visually-Rich DocumentsRetrieval-augmented generation → Multimodal RAG
- V-Attack: Targeting Disentangled Value Features for Controllable Adversarial Attacks on LVLMsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- Text-guided Controllable Diffusion for Realistic Camouflage Images GenerationDiffusion models → Image generation, text-to-image and editing
- Towards Benign Memory Forgetting for Selective Multimodal Large Language Model UnlearningMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache ManagementEfficient LLM inference and serving → KV cache optimization
- Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release DetectionMultimodal LLMs / vision-language models → Video understanding with MLLMs
- Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +2
- Map-World: Masked Action planning and Path-Integral World Model for Autonomous DrivingWorld models → World models for autonomous driving +2
- Restora-Flow: Mask-Guided Image Restoration with Flow MatchingDiffusion models → Inverse problems and image restoration
- UltraViCo: Breaking Extrapolation Limits in Video Diffusion TransformersDiffusion models → Video generation
- Towards A Tri-View Diffusion Framework for RecommendationDiffusion models → Diffusion recommenders
- CLIMATEAGENT: Multi-Agent Orchestration for Complex Climate Data Science WorkflowsLLM agents and tool use → Multimodal and embodied agents
- QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel GenerationLLM reasoning → Reasoning for agents, planning and code
- WPT: World-to-Policy Transfer via Online World Model DistillationWorld models → World models for language agents
- VICoT-Agent: A Vision-Interleaved Chain-of-Thought Framework for Interpretable Multimodal Reasoning and Scalable Remote Sensing AnalysisLLM reasoning → Spatial and embodied reasoning +1
- Adaptive LLM Agents: Toward Personalized Empathetic CareLLM agents and tool use → Medical and scientific domain agents
- "Are We Done Yet?": A Vision-Based Judge for Autonomous Task Completion of Computer Use AgentsLLM agents and tool use → GUI and mobile agents
- SOMBRL: Scalable and Optimistic Model-Based RLDeep reinforcement learning methods → RL theory and sample complexity
- Online-PVLM: Advancing Personalized VLMs with Online Concept LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Reducing Latency of LLM Search Agent via Speculation-based Algorithm-System Co-DesignLLM reasoning → Reasoning for agents, planning and code +1
- MFM-point: Multi-scale Flow Matching for Point Cloud GenerationDiffusion models → 3D, point cloud and scene generation
- Softmax Transformers are Turing-CompleteLLM reasoning → Prompting and chain-of-thought reasoning
- WaymoQA: A Multi-View Visual Question Answering Dataset for Safety-Critical Reasoning in Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- iRadioDiff: Physics-Informed Diffusion Model for Indoor Radio Map Construction and LocalizationDiffusion models → Diffusion for compression and wireless
All 448
- Semantic Router: On the Feasibility of Hijacking MLLMs via a Single Adversarial PerturbationMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
- CREward: A Type-Specific Creativity Reward ModelLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
- OmniRefiner: Reinforcement-Guided Local Diffusion RefinementDiffusion models → Image generation, text-to-image and editing
- R2R: A Route-to-Rerank Post-Training Framework for Multi-Domain Decoder-Only RerankersRetrieval-augmented generation → Generation and context integration
- Boosting Reasoning in Large Multimodal Models via Activation ReplayLLM reasoning → Multimodal reasoning +1
- M3Prune: Hierarchical Communication Graph Pruning for Efficient Multi-Modal Multi-Agent Retrieval-Augmented GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +2
- HiCoGen: Hierarchical Compositional Text-to-Image Generation in Diffusion Models via Reinforcement LearningDiffusion models → Image generation, text-to-image and editing +1
- Differential Smoothing Mitigates Sharpening and Improves LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
- Image Diffusion Models Exhibit Emergent Temporal Propagation in VideosDiffusion models → Video generation
- Distilling Counterfactual Reasoning from Language to Vision: Causal Graph Guided Post-Training for Video UnderstandingLLM reasoning → Multimodal reasoning +1
- Scale Where It Matters: Training-Free Localized Scaling for Diffusion ModelsLLM reasoning → Diffusion reasoning and test-time scaling +1
- CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action ModelEnd-to-end autonomous driving → Reasoning VLA and VLM driving policies
- Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
- DLADiff: A Dual-Layer Defense Framework against Fine-Tuning and Zero-Shot Customization of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
- Agent0-VL: Exploring Self-Evolving Agent for Tool-Integrated Vision-Language ReasoningLLM reasoning → Multimodal reasoning +1
- VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question AnsweringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code GenerationLLM reasoning → Reasoning for agents, planning and code
- Distilling Cross-Modal Knowledge via Feature DisentanglementKnowledge distillation → Multimodal distillation
- Complex Instruction Following with Diverse Style Policies in Football GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
- MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action GeneralizationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- It Hears, It Sees too: Multi-Modal LLM for Depression Detection By Integrating Visual Understanding into Audio Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply ChainsLLM agents and tool use → Agent threats, guardrails and governance +1
- Agentic AI-Empowered Conversational Embodied Intelligence Networks in 6GLLM agents and tool use → Multimodal and embodied agents
- GigaWorld-0: World Models as Data Engine to Empower Embodied AIWorld models → Embodied and robot world models +1
- Unifying Perception and Action: A Hybrid-Modality Pipeline with Implicit Visual Chain-of-Thought for Robotic Action GenerationLLM reasoning → Spatial and embodied reasoning +1
- Temporal-Visual Semantic Alignment: A Unified Architecture for Transferring Spatial Priors from Vision Models to Zero-Shot Temporal TasksMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Near-Optimal Reinforcement Learning for Constrained Recurrence ObjectivesDeep reinforcement learning methods → RL theory and sample complexity
- 4DWorldBench: A Comprehensive Evaluation Framework for 3D/4D World Generation ModelsWorld models → Video-generation world models and simulators
- Rectified SpaAttn: Revisiting Attention Sparsity for Efficient Video GenerationDiffusion models → Video generation
- Large Language Model Aided Birt-Hogg-Dube Syndrome Diagnosis with Multimodal Retrieval-Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
- Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts ModelsMixture-of-experts → MoE large language models
- CropVLM: Learning to Zoom for Fine-Grained Vision-Language PerceptionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- TPSO: Training-Free Diverse Image Generation via Semantic Prompt Embedding OptimizationDiffusion models → Image generation, text-to-image and editing
- Learning to Clean: Reinforcement Learning for Noisy Label CorrectionDeep reinforcement learning methods → RL training of language and agent models
- The Metaphysics We Train: A Heideggerian Reading of Machine Learning
- TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer
- The Qualitative Laboratory: Theory Prototyping and Hypothesis Generation with Large Language Models
- Parameter-Efficient Neural CDEs via Implicit Function Jacobians
- Quantum-Inspired Multi Agent Reinforcement Learning for Exploration Exploitation Optimization in UAV-Assisted 6G Network Deployment
- Enhancing Geo-localization for Crowdsourced Flood Imagery via LLM-Guided Attention
- Emotion-Driven Personalized Recommendation for AI-Generated Content Using Multi-Modal Sentiment and Intent Analysis
- CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
- MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction
- AudioScene: Integrating Object-Event Audio into 3D Scenes
- Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
- Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation
- A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
- Dynamical Properties of Tokens in Self-Attention and Effects of Positional Encoding
- Physics-informed self-supervised learning for predictive modeling of coronary artery digital twins
- Energy-Efficient Federated Learning via Adaptive Encoder Freezing for MRI-to-CT Conversion: A Green AI-Guided Research
- Mitigating hallucinations and omissions in LLMs for invertible problems: An application to hardware logic design automation
- Mirror, Mirror on the Wall -- Which is the Best Model of Them All?
- Conceptual Evaluation of Deep Visual Stereo Odometry for the MARWIN Radiation Monitoring Robot in Accelerator Tunnels
- InF-ATPG: Intelligent FFR-Driven ATPG with Advanced Circuit Representation Guided Reinforcement Learning
- Diffusion-Based Synthetic Brightfield Microscopy Images for Enhanced Single Cell Detection
- Arcadia: Toward a Full-Lifecycle Framework for Embodied Lifelong Learning
- Bootstrap Dynamic-Aware 3D Visual Representation for Scalable Robot Learning
- Automated Statistical and Machine Learning Platform for Biological Research
- LAYER: A Quantitative Explainable AI Framework for Decoding Tissue-Layer Drivers of Myofascial Low Back Pain
- UruDendro4: A Benchmark Dataset for Automatic Tree-Ring Detection in Cross-Section Images of Pinus taeda L
- Guaranteed Optimal Compositional Explanations for Neurons
- Open Vocabulary Compositional Explanations for Neuron Alignment
- Smooth regularization for efficient video recognition
- Operationalizing Quantized Disentanglement
- A deep learning model to reduce agent dose for contrast-enhanced MRI of the cerebellopontine angle cistern
- GaINeR: Geometry-Aware Implicit Network Representation
- Readout-Side Bypass for Residual Hybrid Quantum-Classical Models
- Evolved Sample Weights for Bias Mitigation: Effectiveness Depends on the Fairness Objective
- A Taxonomy of Pix Fraud in Brazil: Attack Methodologies, AI-Driven Amplification, and Defensive Strategies
- Probabilistic Hash Embeddings for Online Learning of Categorical Features
- Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
- Deep Learning as a Convex Paradigm of Computation: Minimizing Circuit Size with ResNets
- V2-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
- Representation Integrity in Temporal Graph Learning Methods
- Winning with Less for Low Resource Languages: Advantage of Cross-Lingual English_Persian Argument Mining Model over LLM Augmentation
- A review on data fusion in multimodal learning analytics and educational data mining
- Selecting Belief-State Approximations in Simulators with Latent States
- Estimating Fog Parameters from a Sequence of Stereo Images
- Computing Evolutionarily Stable Strategies in Multiplayer Games
- Unsupervised Memorability Modeling from Tip-of-the-Tongue Retrieval Queries
- MODEST: Multi-Optics Depth-of-Field Stereo Dataset
- Beyond Noise: A Hypothesis Testing Approach to Robust Feature Selection
- Length-MAX Tokenizer for Language Models
- NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities
- Pre-train to Gain: Robust Learning Without Clean Labels
- A Review of Pseudospectral Optimal Control: From Theory to Flight
- Primal: A Unified Deterministic Framework for Quasi-Orthogonal Hashing and Manifold Learning
- Constrained deep learning for pricing and hedging european options in incomplete markets
- Structured Prompts Improve Evaluation of Language Models
- Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks
- Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator
- Effects of Initialization Biases on Deep Neural Network Training Dynamics
- RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines
- Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
- Layer-Aware Video Composition via Split-then-Merge
- Delta-NeRF: Incremental Refinement of Neural Radiance Fields through Residual Control and Knowledge Transfer
- Intriguing Properties of Dynamic Sampling Networks
- Memories Retrieved from Many Paths: A Multi-Prefix Framework for Robust Detection of Training Data Leakage in Large Language Models
- Adversarial Multi-Task Learning for Liver Tumor Segmentation, Dynamic Enhancement Regression, and Classification
- One Patch is All You Need: Joint Surface Material Reconstruction and Classification from Minimal Visual Cues
- CHiQPM: Calibrated Hierarchical Interpretable Image Classification
- OpenApps: Simulating Environment Variations to Measure UI-Agent Reliability
- Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
- Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework
- InvisibleBench: A Deployment Gate for Caregiving Relationship AI
- Data-Driven Methods and AI in Engineering Design: A Systematic Literature Review Focusing on Challenges and Opportunities
- Spatio-Temporal Trajectory Foundation Model - Recent Advances and Future Directions
- Learning from Risk: LLM-Guided Generation of Safety-Critical Scenarios with Prior Knowledge
- Gradient Descent Algorithm Survey
- DinoLizer: Separating VAE and Diffusion Artifacts in Generative Inpainting Localization
- Foundry: Distilling 3D Foundation Models for the Edge
- Video Object Recognition in Mobile Edge Networks: Local Tracking or Edge Detection?
- MedROV: Towards Real-Time Open-Vocabulary Detection Across Diverse Medical Imaging Modalities
- LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight
- 3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding
- MotionV2V: Editing Motion in a Video
- iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
- ROOT: Robust Orthogonalized Optimizer for Neural Network Training
- ShapeGen: Towards High-Quality 3D Shape Synthesis
- Copyright Detection in Large Language Models: An Ethical Approach to Generative AI Development
- DiFR: Inference Verification Despite Nondeterminism
- Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
- Evaluating the Performance of Deep Learning Models in Whole-body Dynamic 3D Posture Prediction During Load-reaching Activities
- The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment
- Can Vibe Coding Beat Graduate CS Students? An LLM vs. Human Coding Tournament on Market-driven Strategic Planning
- Sparse-to-Field Reconstruction via Stochastic Neural Dynamic Mode Decomposition
- Building a Foundation Model for Trajectory from Scratch
- Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
- Optimization of Sums of Bivariate Functions: An Introduction to Relaxation-Based Methods for the Case of Finite Domains
- How to Purchase Labels? A Cost-Effective Approach Using Active Learning Markets
- The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting
- Variational bagging: a robust approach for Bayesian uncertainty quantification
- EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy Microgrids
- PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic
- A Tale of Two Geometries: Adaptive Optimizers and Non-Euclidean Descent
- MSTN: A Lightweight and Fast Model for General TimeSeries Analysis
- VQ-VA World: Towards High-Quality Visual Question-Visual Answering
- Gated Uncertainty-Aware Runtime Dual Invariants for Neural Signal-Controlled Robotics
- DINO-Tok: Adapting DINO for Visual Tokenizers
- E2E-GRec: An End-to-End Joint Training Framework for Graph Neural Networks and Recommender Systems
- PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding
- Does Understanding Inform Generation in Unified Multimodal Models? From Analysis to Path Forward
- Spatio-Temporal Hierarchical Causal Models
- Time-Domain Linear Model-based Framework for Passive Acoustic Mapping of Cavitation Activity
- From Words to Wisdom: Discourse Annotation and Baseline Models for Student Dialogue Understanding
- New York Smells: A Large Multimodal Dataset for Olfaction
- Feature-Modulated UFNO for Improved Prediction of Multiphase Flow in Porous Media
- Automated Monitoring of Cultural Heritage Artifacts Using Semantic Segmentation
- Proceedings Twentieth Conference on Theoretical Aspects of Rationality and Knowledge
- Bridging the Language Gap: Synthetic Voice Diversity via Latent Mixup for Equitable Speech Recognition
- MIMIC-MJX: Neuromechanical Emulation of Animal Behavior
- Assessing LLMs' Performance: Insights from the Chinese Pharmacist Exam
- Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos
- Adam Simplified: Bias Correction Debunked
- DesignPref: Capturing Personal Preferences in Visual Design Generation
- DP-MicroAdam: Private and Frugal Algorithm for Training and Fine-tuning
- The Text Aphasia Battery (TAB): A Clinically-Grounded Benchmark for Aphasia-Like Deficits in Language Models
- Manifold Percolation: from generative model to Reinforce learning
- A Physics-Informed Loss Function for Boundary-Consistent and Robust Artery Segmentation in DSA Sequences
- From One Attack Domain to Another: Contrastive Transfer Learning with Siamese Networks for APT Detection
- InferF: Declarative Factorization of AI/ML Inferences over Joins
- Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
- NVIDIA Nemotron Parse 1.1
- Modular Deep Learning Framework for Assistive Perception: Gaze, Affect, and Speaker Identification
- Dance Style Classification using Laban-Inspired and Frequency-Domain Motion Features
- STARFlow-V: End-to-End Video Generative Modeling with Normalizing Flows
- Look Where It Matters: Training-Free Ultra-HR Remote Sensing VQA via Adaptive Zoom Search
- Generation, Evaluation, and Explanation of Novelists' Styles with Single-Token Prompts
- A Fully Probabilistic Tensor Network for Regularized Volterra System Identification
- Towards Trustworthy Wi-Fi CSI-based Sensing: Systematic Evaluation of Adversarial Robustness
- Learning to Generate Human-Human-Object Interactions from Textual Descriptions
- Diffusion for Fusion: Designing Stellarators with Generative AI
- Block Cascading: Training Free Acceleration of Block-Causal Video Models
- VibraVerse: A Large-Scale Geometry-Acoustics Alignment Dataset for Physically-Consistent Multimodal Learning
- StableTrack: Stabilizing Multi-Object Tracking on Low-Frequency Detections
- BOCO: Bayesian Online Contextual Optimization for Decision-Focused Online Learning
- NormEval: A Unified Multi-Metric Framework for Evaluating Semantic Fidelity in Text Normalization
- Tight Margin-Based Generalization Bounds for Voting Classifiers over Finite Hypothesis Sets
- Short-Range Oversquashing
- LLMs for Automated Unit Test Generation and Assessment in Java: The AgoneTest Framework
- A Training-Free Approach for Multi-ID Customization via Attention Adjustment and Spatial Control
- Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI
- MoRE: Batch-Robust Multi-Omics Representations from Frozen Pre-trained Transformers
- Differentiable Attenuation Filters for Feedback Delay Networks
- VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild
- PRISM: Periodic Representation with multIscale and Similarity graph Modelling for enhanced crystal structure property prediction
- Extension and neural operator approximation of the electrical impedance tomography inverse map
- From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations
- GS-Checker: Tampering Localization for 3D Gaussian Splatting
- Thinking in 360deg: Humanoid Visual Search in the Wild
- Complexity Reduction Study Based on RD Costs Approximation for VVC Intra Partitioning
- Material-informed Gaussian Splatting for 3D World Reconstruction in a Digital Twin
- AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend
- ShelfRectNet: Single View Shelf Image Rectification with Homography Estimation
- 3D Motion Perception of Binocular Vision Target with PID-CNN
- ArtiBench and ArtiBrain: Benchmarking Generalizable Vision-Language Articulated Object Manipulation
- MXtalTools: A Toolkit for Machine Learning on Molecular Crystals
- Modified Equations for Stochastic Optimization
- Active Inference in Discrete State Spaces from First Principles
- IrisNet: Infrared Image Status Awareness Meta Decoder for Infrared Small Targets Detection
- Geometry of Decision Making in Language Models
- Data Augmentation Techniques to Reverse-Engineer Neural Network Weights from Input-Output Queries
- TaCo: Capturing Spatio-Temporal Semantic Consistency in Remote Sensing Change Detection
- RIS-Assisted Downlink Pinching-Antenna Systems: GNN-Enabled Optimization Approaches
- CrossEarth-Gate: Fisher-Guided Adaptive Tuning Engine for Efficient Adaptation of Cross-Domain Remote Sensing Semantic Segmentation
- Prompting Lipschitz-constrained network for multiple-in-one sparse-view CT reconstruction
- Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations
- Schema Matching on Graph: Iterative Graph Exploration for Efficient and Explainable Data Integration
- Can LLMs Make (Personalized) Access Control Decisions?
- Solving Heterogeneous Agent Models with Physics-informed Neural Networks
- SelfMOTR: Revisiting MOTR with Self-Generating Detection Priors
- SCLARO: A Dataset for Grounded Scenario-Level Scene Understanding and ScenarioCLIP for Benchmarking
- DRL-Guided Neural Batch Sampling for Semi-Supervised Pixel-Level Anomaly Detection
- Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
- Interpretable Air Pollution Forecasting by Physics-Guided Spatiotemporal Decoupling
- XiCAD: Camera Activation Detection in the Da Vinci Xi User Interface
- Zoo3D: Zero-Shot 3D Object Detection at Scene Level
- Diversifying Long Prompt Image Generation through Structured Prompt Embedding Space Sampling
- Uplifting Table Tennis: A Robust, Real-World Application for 3D Trajectory and Spin Estimation
- HistoSpeckle-Net: Mutual Information-Guided Deep Learning for high-fidelity reconstruction of complex OrganAMNIST images via perturbed Multimode Fibers
- Actionable and diverse counterfactual explanations incorporating domain knowledge and plausibility constraints
- REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
- DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
- DuoTok: Source-Aware Dual-Track Music Tokenization for Vocal-Accompaniment Generation
- Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation
- Patch-Level Glioblastoma Subregion Classification with a Contrastive Learning-Based Encoder
- Communication-Efficient Learning for Satellite Constellations
- CostNav: A Navigation Benchmark for Real-World Economic-Cost Evaluation of Physical AI Agents
- OmniAlpha: Aligning Transparency-Aware Generation via Multi-Task Unified Reinforcement Learning
- Adaptive SGD with Line-Search and Polyak Stepsizes: Nonconvex Convergence and Accelerated Rates
- Robust 3D Brain MRI Inpainting with Random Masking Augmentation
- GHR-VQA: Graph-guided Hierarchical Relational Reasoning for Video Question Answering
- Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025
- In-Context Compositional Learning via Sparse Coding Transformer
- SFA: Scan, Focus, and Amplify toward Guidance-aware Answering for Video TextVQA
- Learning Subgroups with Maximum Treatment Effects without Causal Heuristics
- Exo2EgoSyn: Unlocking Foundation Video Generation Models for Exocentric-to-Egocentric Video Synthesis
- KyrgyzBERT: A Compact, Efficient Language Model for Kyrgyz NLP
- Human-computer interactions predict mental health
- Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware
- AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
- ADNet: A Large-Scale and Extensible Multi-Domain Benchmark for Anomaly Detection Across 380 Real-World Categories
- On the Limits of Momentum in Decentralized and Federated Optimization
- SKEL-CF: Coarse-to-Fine Biomechanical Skeleton and Surface Mesh Recovery
- Alzheimers Disease Progression Prediction Based on Manifold Mapping of Irregularly Sampled Longitudinal Data
- A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
- Vision-Language Models for Automated 3D PET/CT Report Generation
- SEDA: A Self-Adapted Entity-Centric Data Augmentation for Boosting Gird-based Discontinuous NER Models
- IDAP++: Advancing Divergence-Based Pruning via Filter-Level and Layer-Level Optimization
- From data to concepts via wiring diagrams
- "When Data is Scarce, Prompt Smarter"... Approaches to Grammatical Error Correction in Low-Resource Settings
- LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening
- Mispronunciation Detection and Diagnosis Without Model Training: A Retrieval-Based Approach
- EM2LDL: A Multilingual Speech Corpus for Mixed Emotion Recognition through Label Distribution Learning
- Multivariate Forecasting of Bitcoin Volatility with Gradient Boosting: Deterministic, Probabilistic, and Feature Importance Perspectives
- The Devil in the Details: Emergent Misalignment, Format and Coherence in Open-Weights LLMs
- SSA: Sparse Sparse Attention by Aligning Full and Sparse Attention Outputs in Feature Space
- Multi Head Attention Enhanced Inception v3 for Cardiomegaly Detection
- QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression for Circuit Design
- Exploring State-of-the-art models for Early Detection of Forest Fires
- The Making of Digital Ghosts: Designing Ethical AI Afterlives
- R3A: Reliable RTL Repair Framework with Multi-Agent Fault Localization and Stochastic Tree-of-Thoughts Patch Generation
- Explainable Visual Anomaly Detection via Concept Bottleneck Models
- An Infinite BART model
- More Bias, Less Bias: BiasPrompting for Enhanced Multiple-Choice Question Answering
- Blind Adaptive Local Denoising for CEST Imaging
- Learning Procedural-aware Video Representations through State-Grounded Hierarchy Unfolding
- MTA: A Merge-then-Adapt Framework for Personalized Large Language Model
- PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images
- FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
- DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination
- History-Augmented Contrastive Learning With Soft Mixture of Experts for Blind Super-Resolution of Planetary Remote Sensing Images
- RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
- Clair Obscur: an Illumination-Aware Method for Real-World Image Vectorization
- Tell Model Where to Look: Mitigating Hallucinations in MLLMs by Vision-Guided Attention
- Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
- SAM-MI: A Mask-Injected Framework for Enhancing Open-Vocabulary Semantic Segmentation with SAM
- ACIT: Attention-Guided Cross-Modal Interaction Transformer for Pedestrian Crossing Intention Prediction
- Energy Costs and Neural Complexity Evolution in Changing Environments
- Multi-Context Fusion Transformer for Pedestrian Crossing Intention Prediction in Urban Environments
- Pedestrian Crossing Intention Prediction Using Multimodal Fusion Network
- BERT-APC: A Reference-free Framework for Automatic Pitch Correction via Musical Context Inference
- Zero-Shot Transfer Capabilities of the Sundial Foundation Model for Leaf Area Index Forecasting
- Redefining Radar Segmentation: Simultaneous Static-Moving Segmentation and Ego-Motion Estimation using Radar Point Clouds
- A Machine Learning Approach for Detection of Mental Health Conditions and Cyberbullying from Social Media
- Popularity Bias Alignment Estimates
- REWA: A General Theory of Witness-Based Similarity
- Directional Optimization Asymmetry in Transformers: A Synthetic Stress Test
- RankOOD -- Class Ranking-based Out-of-Distribution Detection
- GazeProphetV2: Head-Movement-Based Gaze Prediction Enabling Efficient Foveated Rendering on Mobile VR
- On-Demand Multi-Task Sparsity for Efficient Large-Model Deployment on Edge Devices
- SONIC: Spectral Optimization of Noise for Inpainting with Consistency
- Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
- EmoFeedback2: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback
- Operator Learning at Machine Precision
- Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
- VGGT4D: Mining Motion Cues in Visual Geometry Transformers for 4D Scene Reconstruction
- Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
- MambaEye: A Size-Agnostic Visual Encoder with Causal Sequential Processing
- ParaBlock: Communication-Computation Parallel Block Coordinate Federated Learning for Large Language Models
- GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion
- AppSelectBench: Application-Level Tool Selection Benchmark
- Prompt Fairness: Sub-group Disparities in LLMs
- Supervise Less, See More: Training-free Nuclear Instance Segmentation with Prototype-Guided Prompting
- Hierarchical Spatio-Temporal Attention Network with Adaptive Risk-Aware Decision for Forward Collision Warning in Complex Scenarios
- Low-Resolution Editing is All You Need for High-Resolution Editing
- AI/ML based Joint Source and Channel Coding for HARQ-ACK Payload
- Optimize Flip Angle Schedules In MR Fingerprinting Using Reinforcement Learning
- Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization
- EfficientXpert: Efficient Domain Adaptation for Large Language Models via Propagation-Aware Pruning
- Failure Modes in LLM Systems: A System-Level Taxonomy for Reliable AI Applications
- LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
- Designing Reputation Systems for Manufacturing Data Trading Markets: A Multi-Agent Evaluation with Q-Learning and IRL-Estimated Utilities
- Context-Aware Token Pruning and Discriminative Selective Attention for Transformer Tracking
- Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity
- Intelligent Image Search Algorithms Fusing Visual Large Models
- HybriDLA: Hybrid Generation for Document Layout Analysis
- Coupled Physics-Gated Adaptation: Spatially Decoding Volumetric Photochemical Conversion in Complex 3D-Printed Objects
- Motion Marionette: Rethinking Rigid Motion Transfer via Prior Guidance
- MHB: Multimodal Handshape-aware Boundary Detection for Continuous Sign Language Recognition
- Zero-Knowledge Proof Based Verifiable Inference of Models
- Frailty-Aware Transformer for Recurrent Survival Modeling of Driver Retention in Ride-Hailing Platforms
- LiMT: A Multi-task Liver Image Benchmark Dataset
- Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
- ChessMamba: Structure-Aware Interleaving of State Spaces for Change Detection in Remote Sensing Images
- Learning Degenerate Manifolds of Frustrated Magnets with Boltzmann Machines
- CodeFuse-CommitEval: Towards Benchmarking LLM's Power on Commit Message and Code Change Inconsistency Detection
- Simulated Self-Assessment in Large Language Models: A Psychometric Approach to AI Self-Efficacy
- MicroSims: A Framework for AI-Generated, Scalable Educational Simulations with Universal Embedding and Adaptive Learning Support
- A Systematic Analysis of Large Language Models with RAG-enabled Dynamic Prompting for Medical Error Detection and Correction
- STAvatar: Soft Binding and Temporal Density Control for Monocular 3D Head Avatars Reconstruction
- Profile-LLM: Dynamic Profile Optimization for Realistic Personality Expression in LLMs
- Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
- DOGE: Differentiable Bezier Graph Optimization for Road Network Extraction
- Face, Whole-Person, and Object Classification in a Unified Space Via The Interleaved Multi-Domain Identity Curriculum
- SX-GeoTree: Self-eXplaining Geospatial Regression Tree Incorporating the Spatial Similarity of Feature Attributions
- Cisco Time Series Model Technical Report
- GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
- Beyond Relational: Semantic-Aware Multi-Modal Analytics with LLM-Native Query Optimization
- Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level
- ReDirector: Creating Any-Length Video Retakes with Rotary Camera Encoding
- Language-Independent Sentiment Labelling with Distant Supervision: A Case Study for English, Sepedi and Setswana
- Breaking Bad: Norms for Valence, Arousal, and Dominance for over 10k English Multiword Expressions
- Time-Varying Network Driver Estimation (TNDE) Quantifies Stage-Specific Regulatory Effects From Single-Cell Snapshots
- Provably Outlier-resistant Semi-parametric Regression for Transferable Calibration of Low-cost Air-quality Sensors
- Reading Between the Lines: Abstaining from VLM-Generated OCR Errors via Latent Representation Probes
- Latent-space metrics for Complex-Valued VAE out-of-distribution detection under radar clutter
- Scalable Data Attribution via Forward-Only Test-Time Inference