Papers
Wed 9 Sep 2026
402 papers
- OMP-MoE: Efficient Expert Pruning for Mixture-of-Experts LLMs via Orthogonal Matching PursuitMixture-of-experts → MoE large language models
- Harnessing Image Question Dependence for Better VLM Test-time Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- LLaDA-UI: Bringing Block-wise Diffusion to Vision-Language GUI AgentsLLM agents and tool use → GUI and mobile agents
- Fixed State, Long Reach: What a Constant-Size Cache Buys Block Diffusion at ScaleDiffusion models → Discrete and text diffusion +1
- SearchAtlas: Analyzing Agentic Search Strategies via Evidential Query GraphsLLM agents and tool use → Web, search, and research agents
- ReactHuman: A Physics-Grounded Benchmark for Human-Like Reactive Decision-Making in Embodied Multimodal LLMsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DriftNet: A Dual-Head Trajectory Transformer for Detecting and Localizing Prompt Injection in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
- Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State PerturbationsDeep reinforcement learning methods → Adversarial robustness and RL in finance
- Flow Duality and Source Geometry for Categorical GenerationDiffusion models → Flow matching, time series and science
- Evaluation of Vision-Language Models Across Diverse Coastal EnvironmentsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- No-Box Vulnerability Analysis: Description-only Detection of Indirect Prompt Injection Vulnerabilities in MCP ServersLLM safety and security → Prompt injection and agent security
- Studying Without a Syllabus: Task-Agnostic Environment PreprocessingLLM agents and tool use → General LLM agent frameworks and benchmarks
- Tapes Together Strong: The Co-evolution of Computation and CooperationLLM agents and tool use → Social simulation and multi-agent debate
- BodyCam-VQA: Enhanced Body-Worn Camera Video Captioning via Multimodal Reasoning and Probe Question GenerationLLM reasoning → Multimodal reasoning
- ExaServe: Large-Scale LLM Serving on Exascale HPC SystemsEfficient LLM inference and serving → Serving systems and request scheduling
- From Connectivity to Rewards: Dense Reward Learning with Directed State GraphsDeep reinforcement learning methods → Deep RL algorithms and representations
- Big Enough to Break Out: Tracking the Rising Capability of LLM Penetration-Testing AgentsLLM agents and tool use → Agent threats, guardrails and governance
- A Bellman Optimality Equation for PlasticityDeep reinforcement learning methods → Deep RL algorithms and representations
- When Synthetic Data Hurts: On Catastrophic Forgetting in Skill Retrieval for LLM AgentsLLM agents and tool use → Agent skill learning and evolution +1
- Think Before You Link: Rarity, Reasoning, and Retrieval in Multilingual Entity LinkingLLM reasoning → Multimodal reasoning
- The Truth Was Never Gone: Perfect Aliasing in Compliant-Context Truth ProbesMechanistic interpretability → Probing deception, bias and beliefs
- AcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation FlowDiffusion models → Image generation, text-to-image and editing
- Architecting the Secure AI-SOC: A Neurosymbolic Framework for Pipeline Integrity and Threat MitigationLLM safety and security → Prompt injection and agent security
- GEOSTEER: Geodesic Optimization for Activation Steering in Large Language ModelsMechanistic interpretability → Activation steering methods
- Understanding LoRA Rank Trade-offs in Diffusion Model Fine-TuningDiffusion models → Diffusion foundations and sampling
- Programmable World ModelWorld models → Video-generation world models and simulators
- Show-Harness: Just a VLM Agent Can Play RobotsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
- Avatar: Toward Autonomous End-to-End Orchestration of Scientific Workflows using LLMsLLM agents and tool use → Software engineering coding agents
- DUET-DINO: Simultaneous Cross-View World Modeling for Latent Planning in Robot ManipulationWorld models → Embodied and robot world models
- Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics GeneralizationWorld models → Latent predictive world models
- Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray NanoimagingDiffusion models → Medical imaging and segmentation
- JarvisGUI: Towards Cross-Device GUI Agents with Dynamic Task CompositionLLM agents and tool use → GUI and mobile agents
- Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language ReasoningLLM reasoning → Reasoning benchmarks and evaluation
- ConvMem: Convolutional Memory for Long-Context ReasoningLLM reasoning → Test-time compute and efficient thinking
- Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMsLLM safety and security → Machine unlearning
- Glyph: A Multi-Strategy Agentic System for Column Description and Sensitivity-Ontology Tagging of Enterprise Data CatalogsLLM agents and tool use → Web, search, and research agents
- TrajMark: Ownership Attribution and Segment-Level Tamper Localization for Coding-Agent TrajectoriesLLM agents and tool use → Agent threats, guardrails and governance +1
- Frequency-Conditioned Flow Matching for Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation +1
- Searching for New Physics with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
- Data-Driven Risk Fields for Safer End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
- PACE: Perceived-Latency-Aware Cascading Service Routing and Filler Control for QoE-Efficient Retrieval-Augmented Dialogue ServingRetrieval-augmented generation → Conversational and speech RAG
- SceneHI: High-Resolution 3D-Consistent Scene Texturing with Controllable IlluminationDiffusion models → 3D, point cloud and scene generation
- Beyond One-Size-Fits-All: Sample-Adaptive Strategy Routing for Vision Token Pruning in MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
- From Symbolic Perception to Logical Deduction: A Framework for Guiding Language Models in Geometric ReasoningLLM reasoning → Spatial and embodied reasoning
- Geometry Without Coordinates: LiDAR Diffusion as a 3D Feature BridgeDiffusion models → 3D, point cloud and scene generation
- On-Policy Distillation for Vision-Language Model Adaptation, an Effective Paradigm on Low-Quality Multimodal DataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
- Decoupled Self-Forcing Distillation for Streaming Talking Head GenerationDiffusion models → Audio, speech and music
- A Dominant Diffuse Phase in the Sparse Autoencoder Phase DiagramMechanistic interpretability → Sparse autoencoder training and evaluation
- TRACE: Trajectory-robust Admission with Evidence Ordering for Efficient GUI AgentsLLM agents and tool use → GUI and mobile agents
- Training Trajectories Determine Circuit Removability in Annealable Soft-Prior TransformersMechanistic interpretability → Circuits and mechanistic analysis
- KVShareArena: KV-Cache Reuse Across Contexts and Model CheckpointsEfficient LLM inference and serving → KV cache optimization
- A-JIT: Agentic Just-In-Time Software ConstructionLLM agents and tool use → Software engineering coding agents
- RoboFolDeX: A Physical-World Benchmark for Long-Horizon Robotic Manipulation of Deformable ObjectsWorld models → Embodied and robot world models
- LiteRAG: Cost-Efficient Graph-Based Retrieval-Augmented GenerationRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- The Answer Path and the Grounding Instruction in LLM Question Answering over Knowledge GraphsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
- UOT-Gap: A Variational Principle for the Modality Gap in Vision-Language Models via Unbalanced Optimal TransportMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Why Sample What You Can Enumerate? Exact Policy Optimization for Genomic Tool SelectionLLM reasoning → Reinforcement learning for reasoning
- Beyond Surface Imitation: Contrastive Modeling for Reasoning Path Alignment in Multimodal In-Context LearningLLM reasoning → Multimodal reasoning +1
- From Retrieval to Weights: Parametric Individualization of Small Language Models with Individual Text CorporaRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CompassOPD: Cross-Family On-Policy Distillation via Within-Family Likelihood ShiftsKnowledge distillation → On-policy and self-distillation for LLMs
- Agent-Based ML-LLM Fusion with Self-Optimizing Prompts for Plateau Weather AlertsLLM agents and tool use → Financial trading and forecasting agents
- Data-Centric Post-Training for Financial Reasoning: Mining, Distillation, and Verifiable LearningLLM reasoning → Reasoning for agents, planning and code
- RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition BiasesLLM agents and tool use → Web, search, and research agents
- Direct Diversity Optimization for Diverse Successful Trajectories in Preference Post-TrainingLLM agents and tool use → Reinforcement learning for LLM agents
- Guaranteeing Faithful Evidence Extraction in Speculative Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- Belief-State Engine: Augmenting LLMs for Principled Planning Under Partial ObservabilityLLM agents and tool use → General LLM agent frameworks and benchmarks
- VLX-VR: An Agentic-Aware Video Reasoning ModelLLM reasoning → Multimodal reasoning +1
- Optimal Value Inference for Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
- Beyond Verified Answers: Solver-Informed Self-Distillation for Bootstrapping Operations Research Language ModelsSynthetic data and self-improvement for LLMs → Self-rewarding alignment and self-training +1
- HaWMPO: Hallucination-Aware World Model-based Policy Optimization for Generalist Robot PolicyWorld models → Embodied and robot world models +2
- Structural Process Supervision for Latent Chain-of-Thought ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
- Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action ModelsVision-language-action models → Efficient VLA inference and adaptation
- Interpreting Object-Dependent Concept Brittleness in Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- FlowCPO: A Unified Divergence View of Preference Alignment for Flow ModelsDiffusion models → Diffusion and flow policies for robotics +1
- Contrastive Projection: Reading Transformer Internals by Differencing Logit LensesMechanistic interpretability → Circuits and mechanistic analysis
- StreetDiff: Multi-view Street Scenes Generation via Cross-view Consistent Multi-view Stable Diffusion with Structure PromptsDiffusion models → Diffusion and flow policies for robotics
- From Pixels to Hierarchical Sequences: Quadtree Mask Encoding for Vision-Language Binary Change DetectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- AgentAudit: An Open, Extensible Framework for Full-Lifecycle Trust Evaluation of AI AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Keep Evaluation Fair: Detecting Data Leakage in Code Generation Benchmarks via Membership Inference AttacksLLM safety and security → Machine unlearning
- Pretraining and Distillation Matter More Than Architecture Family for Label-Free Single-Cell ClassificationKnowledge distillation → Distillation for medical imaging
- The Era by Eon Benchmark: A Generated Enterprise Estate with Exact Ground Truth for Benchmarking LLM AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- S3-Bench: Evaluating Speech Interaction Models as Scientific Voice AssistantsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Subgroup Membership Inference Audits of Differentially Private Synthetic TextLLM safety and security → Membership inference attacks
- HyperTrace: Hypothesis-Based Preference Tracing for Online LLM PersonalizationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
- CS-Guard: Benchmarking LLM Guardrails for Code Generation SecurityLLM safety and security → Jailbreaking
- How Fragile Is Safety Alignment at Frontier Scale? A Single-Direction Attack on a 320B MoELLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +2
- LogiScope-VQA: Benchmarking Vision-Language Models for Logistics Hazard Identification in Industrial ScenariosLLM reasoning → Chain-of-thought reasoning for driving +1
- ROAM: Robust Organization of Atomic Memories for Agents through Semantic RelationsLLM agents and tool use → Agent memory systems
- Proof-Carrying Cognition: Closing the Verification Gap with Reality-Settled RewardLLM reasoning → Reinforcement learning for reasoning +1
- XAgent: eXecution-guided Agentic AI for Effective Localization and Resolution of GitHub IssuesLLM agents and tool use → Software engineering coding agents
- Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?Retrieval-augmented generation → Generation and context integration +1
- CARRE: Counterfactual Action Retrieval and Reason Evaluation for Explainable Churn PrescriptionLLM reasoning → Reasoning for agents, planning and code
- SocialRL: Refining LLMs' Social Intelligence through Multi-turn Reinforcement Learning and Reward DesignLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal AgentsLLM agents and tool use → Medical and scientific domain agents
- Epoch: Compiling Diffusion Blocks for Sparse MoE ServingMixture-of-experts → Vision mixture-of-experts +1
- Which Tokens Should SFT Actually Learn? A Token-Trimming Perspective on Mathematical ReasoningLLM reasoning → Test-time compute and efficient thinking
- CT-SAFR: Safe and Interpretable Chain-of-Thought Reasoning for Autonomous Robots: A Multi-Layered Verification Framework for Trustworthy AI-Driven Robotic Decision MakingLLM reasoning → Spatial and embodied reasoning
- ALIGN-HOLD: Experience Alignment for Real-Time Hold Control in Large-Scale Ride-Hailing Matching at DiDiLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- SEA-SpeechBench: A Large-Scale Multitask Benchmark for Speech Understanding Across Southeast AsiaMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- PELM: Power Efficient On-Device LLM Inference with Speculative Decoding and Dynamic Voltage Frequency ScalingEfficient LLM inference and serving → Serving systems and request scheduling
All 402
- A Risk-Sensitive and Uncertainty-Aware Decision-Making and Control Framework for Safe and Robust Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
- Black-Box Red Teaming of Agentic AI: A Taxonomy-Driven Framework for Automated Risk DiscoveryLLM agents and tool use → Agent threats, guardrails and governance +1
- JEPA Policy: Diffusion-Free Imitation Learning via Paired Action and Future Representation PredictionOffline RL and imitation learning from data → Robot manipulation imitation learning
- Who Are They to Each Other? Multi-Agent Reasoning for Speaker Relationship InferenceLLM reasoning → Reasoning for agents, planning and code +1
- RouteBridge: Reliability-Routed Bidirectional Distillation Between Neural Radiance Fields and 3D Gaussian SplattingKnowledge distillation → Detection and dense prediction distillation
- Watermarks Without Verification: AI Text Watermarking After the EU AI ActLLM safety and security → Watermarking generated content and models
- Compact Visuotactile World Models for Lifting: Prediction, Reward Alignment, and Force ConstraintsWorld models → Embodied and robot world models
- Teacher Geometry Shapes Learnability in Teacher-Student NetworksKnowledge distillation → General knowledge distillation methods
- Distillation of Synthetic Data for Time Series Foundation ModelsSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- CityPlanner: A Sandbox Agent for Executable Urban PlanningLLM agents and tool use → Multimodal and embodied agents
- Learning with Synthetic Data via SGD in High-Dimensional Linear RegressionSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
- Reproducing Omitted Temporal Expressions in Japanese News for Retrieval-Augmented ApplicationsRetrieval-augmented generation → Generation and context integration
- Multi-Agent Agentic Graph Learning via Structural SignaturesLLM agents and tool use → Web, search, and research agents
- Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning AttacksLLM safety and security → Backdoor and data poisoning attacks
- High-probability guarantees for linear accessibility in feature superpositionMechanistic interpretability → Sparse autoencoder training and evaluation
- Arbitrary Cipher Attacks Against Large Language Models Do Not Require Fine-TuningLLM safety and security → Jailbreaking
- An Efficient and Effective Agentic Group Shilling Attack on Recommender SystemsLLM agents and tool use → Agentic recommender systems
- Statistical Turbulence and High-Fidelity Disturbance Fields for Quadrotor Flight Control
- RINS: Residual-Image Neural Subspace Solvers for Large Sparse Linear Systems
- The Cognitive Continuity Test: Verifying Governed State Transitions in Persistent AI Agents
- A Verifier Can Leak the Answer: Diagnosability Before Optimization in Closed-Loop Agent Debugging
- A Comprehensive Review of One-Pixel Attack: Research Status, Taxonomy, Applications, Regulation Policy and Future Directions
- Loading history and window geometry bound compact-state slip ranking during granular shear startup
- Generalized Biomedicine Discovery
- The Hidden Costs of 99% Accuracy: A Trustworthiness Audit of the Telco Customer Churn Benchmark
- A Low Grounding Score Is Not an Ungrounded Judge: Identifying the Perceptibility Confound in Multimodal Oversight
- SyntheticHLS: Building Diverse Synthetic High-Level Synthesis Datasets using LLMs
- Replay in the Silent Degrees of Freedom: Continual Learning Without an Offline Phase
- ChestPheNoT: Deployable, Auditable Label-Status-Evidence Extraction from Radiology Reports
- Auditing and Repairing LLM-as-Judge Failures in a Production Text-to-SQL Pipeline
- Not All Memories Are Equal: Hierarchical Collaborative Memory for Validity-Aware Retrieval in LLM Agents
- Manifold Projection and Iterative Autoencoder Refinement for Masked Language Modeling
- Ergodic Control and Controlled Diffusion for Robot Learning: Review and Tutorial
- VectorHarness: Recovering Editable, Relation-Preserving Structure from Scientific Graphics
- Reliable Egocentric Action Anticipation via Temporal Reliability Suppression and Compositional Graph Decoding
- Aries: A Proprietary Medium-Range Weather Prediction Model for the Energy Industry
- ScorePrompts: Natural-Language Exploration of Symbolic Music Scores through Analysis
- Target-Checked Reliability Score Refinement for Video Question Answering
- DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning
- Explainable Prediction from Mobile Sensing Data through LLM-guided Concept Integration
- FINESSE: An Agent-Based Simulator and Benchmark Dataset for Multimodal Financial Event Sequences
- Seamless Whole Slide Label-Free Virtual Staining
- Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning
- LLM-Anchored Paralinguistic Enrichment for Alzheimer's Disease Detection
- Does Linguistic Structure Enrichment Enhance Coherence Assessment? Not With Current Architectures
- Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal Learning
- Story Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble
- Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry
- When Validation Stops Learning: Auditing Update Admission for Continual Embodied Agents
- Project Qualia: Recovering Experiential Music Structure from Session Co-occurrence Data
- Are We Really Doing Few-Shot Learning? A Critical Examination of Pre-Training Assumptions
- scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning
- Detectable Only Where It Is Confounded: What Verified Duplication Counts Say About Membership Evidence in Language Models
- Processing and classifying bird songs using wavelet techniques and supervised learning
- Scale-Aware 3D Deep Learning for Robust Brain Metastasis Detection in Multimodal MRI
- Overpainting: Localized Context-aware Diffusion Image Editing
- Larger Context Window, Fewer Overcorrections: Optimizing Prompts and Batching for Minimal-Edit Grammatical Error Correction
- TrajFusionNet+: Transformer-Based Prediction of Pedestrian Crossing Intention via Fusion of Trajectory Representations and Scene Graphs
- How Much Velocity Does Off-Ball Space Value Need? A Broadcast-Viewport Benchmark
- RiVaT-Fuse: Reliability-Calibrated Variational Tensor Fusion with Matrix-Valued Trust for Multimodal Prediction under Modality Uncertainty
- DR-LabStack: Design and Implementation of a Clinician-Facing Web System for Diabetic Retinopathy Prediction
- Analyzing Traditional and Neural Approaches to Multilingual Readability Assessment
- Composable CXL Memory as a Kubernetes-Native Shared Memory for LLM Serving
- Two-Parameter Flow Map Learning for Continuous-Time Diffeomorphic Image Registration
- Shedding Light: A Benchmark for Evaluating Lighting Understanding in Generative Image Models
- Counterfactual Marginalisation: Framework for Evaluating Robustness to Nuisance Variables
- Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error Geometry
- Beyond Static Guarantees: Measuring the Static-Pass Dynamic-Fail Gap in Security-Sensitive and LLM-Generated Python Code
- Multilingual in Name Only? Cultural and Linguistic Weaknesses of LLMs in Urdu
- GRADE: Single-Frame Generative Radar Depth Estimation Under Visual Degradation
- Adaptive Margin Ordinal Loss: Penalizing Center-Class Hedging in Ordinal Classification
- Meta-Learning for Data-Efficient Plant Growth Estimation via Vision Transformers and Fuzzy Clustering
- Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems
- CARTS: Contextual Autoregressive Rank Transcoding Steganography for Full-Capacity Keyed Text Encoding
- MHE-Former: Multi-Hypothesis Transformers via Entropy Maximization for 3D Mesh Recovery
- SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking
- Conformal Calibration Transfer
- A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random Features
- Towards a Deterministic Math Solver for Clinical Language Models
- Finishing the Task Is Not Enough: Evaluating Agent Resilience and Considerate Participation under Accumulating Challenge
- CMNIE: An Information Extraction Benchmark for Chinese Military News
- NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction
- From Semantic to Token Communication: The Next Paradigm for Large-Model-Driven 6G Intelligent Connectivity
- An Open Recipe for IMO Gold: Training Nemotron for Olympiad Mathematics
- HuRo: Robotizing Human Videos for Scalable VLA Pretraining
- Data-Efficient Language Modeling: From Frontier Advancement to Principle-Guided Model Improvement
- More than half of recent astronomy papers are written with language-model assistance
- Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking
- A Multi-Stage Rule-Chaining Framework for Compositional and Interpretable Cognitive Reasoning
- Artificial Intelligence Algorithms for the Detection of Pathologies Related to Lung Cancer through Image Analysis using Convolutional Neural Networks and Data Augmentation: a systematic mapping of the literature
- Byzantine-Robust Federated Fire Detection with a Rotating Coordinator
- Sequence-Informed Geometric Evaluation of RNA 3D Structures
- Zero-shot rib design: merging training-free generative prior with topology optimization
- Numbat: Building and Verifying a Self-Contained Machine-Learning Stack
- From Cycle Space to Cycle Manifold: Limits and Achievability of Blind False Data Injection Attacks
- AI Safety: Not Optional, Not Later
- QuantumQUBO Agent: Automating Quadratic Unconstrained Binary Optimization (QUBO) Formulation Generation from Natural Language
- SoK: Privacy Attacks on Machine Learning via Explainable AI
- IdeaAMBIG: Benchmarking Implementation-Critical Gaps in Research-Idea Specifications
- Likelihood-free inference with nuisance parameters through normalizing flows
- Guiding Image-to-3D Generation with Test-Time Partial Observations
- A positive resolution of the gap-entropy conjecture
- Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarchy
- Precision in Rice Variety Classification using Stacking-Based Ensemble Learning
- BrainTaskonomy: Learning How to Pretrain and What to Transfer in fMRI Foundation Models
- Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements
- Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
- Field Converter: Geometry-Initialized Temporal Residual Refinement for World-Grounded Player Pose Estimation from Soccer Broadcasts
- Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation
- IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier
- Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
- Artificial Intelligence Literacy and Sustainable Development: An Ethical Governance and Development Goals Framework
- Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification
- Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
- AgroVisNet: A lightweight Convolutional Network and the BD-PlantDX Expert-Validated Benchmark for Radish, Potato and Pointed Gourd Disease Classification
- Do speech foundation models really learn words?
- Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response
- Algorithmic stability via ensembling
- Emergency Department Revisit Quality Review Screening: Exploring Human Decision-Making and Artificial Intelligence Support
- Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
- Can Foundation Models Moderate Online Content? Evaluating Instruction- vs. Example-Driven Policy Operationalization
- HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning
- Retrofitting Code Using LLMs to Support Exceptional Behavior
- Rosetta at AlexandriaX-2026: LoRA-Adapted NileChat for Context-Aware Dialectal Arabic Dialogue Translation
- Candor-LR: A Dyadic Conversational Dataset for Audio-Visual Speech Recognition
- Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask
- MOONWALK: Mediating Operations with Intent-Evidence-Action Alignment Across Junior-Supervisor Review Workflows in Animation/VFX Pre-Production
- Shape-guided Gaussian Splatting for Sparse-View X-ray 3D Reconstruction
- Beyond Weak Labels: Prompt-Guided Local Refinement for Weakly Supervised Water Segmentation in High-Resolution Multispectral Imagery
- AVSRBench: A Multi-Condition AVSR Benchmark
- OmniMed-FL: A Robust Multimodal Federated Learning Framework for Clinical Diagnosis
- A Later Test Set Is Not a New Domain: Pretraining Familiarity Survives a Contamination-Free Hold-Out
- Spot-the-shift: Evaluating Grounded Image Difference Captioning of Long-term Changes
- Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs
- Cyber-Financial Contagion: Modeling the Propagation of an AI Vendor Compromise Through the Banking System
- TimeCues Studio: A Workspace for Music Annotation and Algorithm Prototyping
- Dimensionality Reduction for Hyperspectral Image Classification
- Learning to Adapt and Calibrate: Score Distribution Alignment for Few-Shot Uncertainty Prediction in Medical VLMs
- TRACE: Training Reasoning Agents for Causal Exploration with Synthesized Rewards
- Semiparametric Inference for Conditional Shapley Feature Importance
- One Loop, Two Gains: Can Active Learning win the Lottery for Free?
- View-Structured Conformal Prediction for 3D Gaussian Splatting
- RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding
- SynThermFace: Amplifying Limited Paired Data for Visible-Thermal Face Recognition via Synthetic Data Generation
- Learning Intrusion Response Strategies for OT Systems
- The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding
- GANDR: Claim Auditing for Verifiable Legal Answer Generation
- Isotropic Embedding Perturbations for Robust Vision Language Encoders
- FreqFLD: Towards All-in-One Facial Landmark Detection via Frequency Modulation
- Structural Fusion of Bayesian Networks with Limited Treewidth Using Genetic Algorithms
- Maverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation
- What Should an Agent Forget? Separating What Is Stored from What Is Used
- When Fusion Fails: Corruption-Aware Rebalanced Fusion for Multi-Modal Medical Image Segmentation
- DiSCo: A Distribution-First Steering and Cultural Prior Evaluation Framework for Measuring Cultural Preference Bias in LLMs
- Two-Token Features and Small-Large Ensembles for VLM Hallucination Detection
- Phi-Bench: Can Large Language Models Engineer the Infrastructure That Powers Them?
- Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search
- Through the Looking Glass: Directly Reading and Writing Transformers
- Robust Beam Prediction for V2X Networks with Multi-Modal Sensing
- Politics of Feelings: Emotional Expression and Legislative Effectiveness in the U.S. Congress
- An Exponential Deterministic--Randomized Gap in ERM-Oracle Complexity for Thresholds on an Unknown Order
- Are You Learning Biological Signal or Shortcuts? Auditing and Mitigating Bias in Protein-Protein Interaction Datasets
- Who Argues What? Joint Argument-Entity Detection and Classification in Political Debates
- 3rd Place Solution to Human Motion Challenges in Real-World and Clinical Settings (MoCha) @ECCV2026: Language-Aligned Motion Representations for Domain-Generalizable UPDRS-Gait Severity Estimation
- Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?
- CoGe-GCD: Reframing Generalized Category Discovery with Compositional Generalization
- ScopeMamba-YOLO: Widening the Perceptual Scope Inward and Outward for Small Object Detection in Remote Sensing Imagery
- YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models
- Kernel-Managed Shared Memory for System-Wide Personalization
- Active Adaptation, Not Static Defense: Temporal Dynamics of Preventative Steering in Adversarial Fine-Tuning
- The Sample Complexity of Quantum Entanglement Allocation
- TransGaze-Object: Transformer Based Driver Gaze Object Prediction Framework in Real Driving
- Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
- SA-Profile: Automated Sulcus Angle Profiling from Super-Resolution MRI
- If It's Not Buggy, Don't Fix It: On the Dynamics of Iterative Bug-fixing with LLMs
- ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification
- Storage-Scalable Progressive Semantic Communication via Knowledge-Base Reuse
- A Trust-Network-Based Federated Learning Framework for Multi-Center Aging Clock Prediction
- Beyond Training: A Feasibility Taxonomy for Inference-Time AI Governance
- A Systematic Evaluation of Molecule Generation Models for De Novo Drug Design: From Benchmarks to Practical Insights
- LinearMask-GS: Stable-Mask Importance Pruning for Compact 3D Gaussian Splatting
- Hybrid Quantum-Classical NLP Classification with Compact Semantic Representations: An Experimental Analysis of Representation Compression
- A statistical approach to bias in zero-shot learning: the lens of handwriting recognition
- Automatic Reproducible Camera Intrinsic Calibration
- Physics-Informed Multi-Task Surrogate Model for the Martian Nightside Thermosphere
- Reference-Based Bias Detection in LLMs via Relative Representations of Hidden States
- NOPE-HYPE: A Structured Simulation Workflow for Robust Speech-to-Text Across Diverse Acoustic Environments
- OntologyAligner: Ontology-Aligned Retrieval and Hierarchy-Guided Large Language Model Reranking for Biomedical Ontology Normalization
- Orukeet: Multilingual ASR with Frozen Gabor Kernels
- Zero-Shot Temporal Localisation of Audio Deepfakes in Multi-Speaker Conversations
- MedDeID enables locally governed clinical-text de-identification from real or synthetic training data
- Field-level prediction of mid-plane stress tensor fields in concrete target penetration: a cross-velocity graph neural operator surrogate
- Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation
- Beyond Contact Sensors: Deep learning with Pseudo-Labeling for remote Photoplethysmography
- Deterministic Prompting for Speaker-Stable Low-Resource Greek TTS
- Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation
- Structure-Aware Unsupervised Anomaly Detection for Spacecraft Telemetry with Adaptive EVT Thresholding
- MetroLLM-Bench: Evaluating Language Models as Transit Kiosk Runtimes
- An Explainable Machine Learning Framework for Predicting Blood-Brain Barrier Permeability Using Molecular Descriptors
- Beyond Similarity: Foundation Models as an Efficient Backbone for Training-Free Composed Video Retrieval
- What Makes Adversarial Examples Transfer Across Deepfake Detectors?
- From Few-Shot Segmentation to Clinician-in-the-Loop Medical Image Analysis
- SalamandraTA at WMT 2026 Terminology Shared Task: Hard Examples Are Better Teachers
- Stable Answers, Unfinished Reasoning: Why Self-Consensus Is Not a Safe Early-Exit Signal
- A Sharp Barrier for Consistent Submodular Maximization: Any Improvement over 2-√2 Entails Exponential Queries or Linear Recourse
- Multi-Functional Embedding Models for Funder Name Disambiguation in Scientific Publication Records
- Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems
- Towards Stress-Aware Sentence-Level Filipino G2P With Weakly-Supervised ByT5 Fine-Tuning
- Putting Captions to the Test: Evaluating Video Caption Quality through Multiple-Choice Question Answering
- Deep Neural Networks for Learning Intent from sEMG Signals to Support Hardware Devices for Post-Stroke Neurorehabilitation
- 5-Dialects-BN: Unmasking the Impact of Transliteration on Bangla Dialectal LLMs
- Improving Cross-Lingual Token Representations by Adding a Pinch of SALT
- Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
- Adversarial Training for Tabular Credit Scoring: A Multi-Attack Robustness Evaluation in P2P Lending
- Multimodal Emotion Recognition in Conversations via Class-Wise Adaptive Modality Fusion and Affective Geometry
- Multi-Pass, Multi-View Blended Learning for High-Fidelity Volumetric CT Synthesis from Chest X-Rays
- Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark
- A Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning
- Meta-LinEXP3: Online-within-Online Learning for Adversarial Linear Contextual Bandits
- Beyond Conventional Federated Learning via High-Order Regularization
- Deep and shallow biases in language models
- Strangers to Themselves: What Language Models Say About Themselves Is Generic
- Grounded Evaluation and Repair for NL-to-PDDL Problem Generation
- Can We Trust Video Hallucination Detectors? VidHalLoc for Evaluating the Evaluators
- ProMeta: Few-shot PROTAC-targeted degradation prediction across E3 ligases
- Leveraging Fine-grained Error Correction in Korean Speech Recognition for Consultation Services
- When Does Defendant Statement Matter? A Study of Bias and Persuasion in LLM-Simulated Jurors
- Decision Transformer for UAV-Mounted RIS-Assisted Dynamic D2D Communications
- Albedo Estimation via Latent Bridge Matching
- Forward-Free LLM Depth Pruning via Weight Redundancy
- Scored vs. Generated Readouts in Behavioral Language Models: An Empirical Study of Elicitation Format
- CLFTv2: Efficient Camera-LiDAR Fusion for Semantic Segmentation via Hierarchical Feature Pyramids
- Shifting Relational Paradigms for Affective Computing: Affective Resonance, Vitality Affects, and Vocal Interaction Fields
- Exact Degeneracy Under Balanced k-Shot Sampling:Consequences for Small-Sample Discriminant Analysis on LLM Embeddings
- With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education
- A Unifying Perspective on Probabilities as Model Predictions
- When Does Low-Bit Quantization Preserve the Decisions of Vector Search?
- Can AI Agents Detect and Repair Artifact Drift in Network Experiments?
- TempTPI: Informer-Based trajectory prediction for maritime vessels
- SkNeXt enables topology-guided neuronal reconstruction from petabyte-scale microscopy data
- RealSimLoop: Online Real-to-Sim Adaptation via Differentiable Reduced-Order Simulation with Vision Feedback
- Layerwise Tunable Lifting Scheme for the Convolutional Neural Network
- Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach
- In Medical Claims Data, Enhancing Predictive Performance for Major Adverse Cardiovascular Events Using Cross Attention
- UnitBoost: Managing Compound LLM Systems with a Merge Operator, Not a Model
- Online Inverse Integer Linear Optimization via Small-Gradient Skipping: Constant Regret and Finite Mistakes
- Morphological Decoupling-Based Skeletal Classification for Clinical Assessment of Malocclusion
- uFlowCSP: Crystal Structure Prediction using Mean flow generative models
- A practical DIRECT-type algorithm for medium-scale black-box global optimization
- Privacy-Preserving Split Learning for Federated LLM Fine-Tuning
- MUCnoHARM@GermEval Shared Task 2026: Retrieval-based In-Context Learning for Defamatory Offences, and Where It Falls Short
- Pairit: A Platform for Live Experiments on Human-AI Collaboration
- Evaluating Model Retraining under Drift: Paired Comparisons of Cumulative Subgroup Disparity
- NEXUS-MI: Communication-Aware Federated Personalization for Gateway-Coordinated Motor-Imagery Brain-Computer Interfaces
- BRACE: Anchored Bellman-Residual Correction for Stale Critics in Asynchronous RL
- Procedural Memory Under Change: Reuse and Interference in Controlled Web Tasks
- SymbolicLight V2: Hybrid Neuromorphic Architecture and Sparse Execution for Low-Energy Language Inference
- MethaneFuse: Learning from Multi-Sensor Satellite Observations for Methane Plume Detection
- Arti-JEPA: Adapting Video World Model to Real-Time MRI of the Vocal Tract for Speech-Production Analysis
- HiRAD: A Flexible Large-Scale AGV Routing System
- Distilling Image Prototypes for Guided Test-Time Adaptation
- IAE-VTG: Interaction-Aligned Action-Entity Video Temporal Grounding
- Can Artificial Intelligence Support Healthcare and Mental Health Through Early Cyberbullying Detection ? The Impact of Emotion-Aware AI on Proactive Online Safety
- EEGBind: Detecting Source-Level Interictal Epileptiform Discharges via EEG-Centric Multimodal Binding
- EFQ-Softmax: Exp-Free Quantization for Softmax
- StreamAlign: Streaming Text-Aligned Speech Tokenization
- Scaling E-Commerce Attribute Extraction with Parallel Decoding
- VFNet: Multi-View Spatio-Temporal Model for Void Fraction Estimation in Gas-Liquid Two-Phase Flow
- Efficient Graph Neural Networks for Multicarrier Wideband Hybrid Beamforming Optimization
- Cross-Species Animal Re-Identification with Semantic Consistency Learning
- Decision Shifts, Lost Label Functionality, and an Inconclusive Grounding Audit in Correctness-Gated Multi-Teacher Distillation
- Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks
- When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination
- Looped GPT-BERT: Trading Parameters for Computation in Small Language Modeling
- Which Medical Questions Deserve Rationales? Perturbation-Sensitive Selection for Robust QA
- Settling: Equilibrium Inference for Non-Convex Validity Sets
- Safe to Stop? Risk-Constrained Stopping for Sequential Clinical Diagnosis Agents
- X2-NativeCursor: Native-Token Text Progress Tracking for Incremental-Text Streaming Codec TTS
- Muon-C: Operator-Aligned Muon for Convolutional Kernels
- Introducing Consort: A Spec-First Agent Framework for Enforced, Test-Driven Development on Live Database Branches
- Recovering Biomechanical Signals from Missing Keypoints Using Temporal Interpolation in Monocular Gait Analysis
- PRAGMA: Evaluating Personalized Guidance with Memory Alignment in Lifelong Conversations
- Cascading Gradient Inversion via LT-Code Inspired Peeling in Federated Learning
- RESCUE-BENCH: Towards Relation-Aware Multi-Party Emotional Support Conversation Systems
- Why Learning Rediscovers the Closed-Form Diagonal Regularizer
- RobustSGPO: Search-Space Control for Agent Harness Evolution
- LightMedSeg-ISLES: Stroke Lesion Segmentation with 81x Fewer Parameters than nnU-Net
- Seven Sources of Physical AI Capability Formation
- Hyperbolic Geometry for Open-World Object Detection in Remote Sensing Imagery
- From State Synchronization to Cognitive Self-Evolution: An Operational Architecture for Cognitive Digital Twins
- Marker-free eye-gaze estimation using a single image and depth from defocus
- Modality-Decoupled Federated Learning for Privacy-Preserving Embodied Intelligence in 6G
- A Function-Space Approach to the Statistical Mechanics of Learning Dynamics
- Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking
- Beyond Top Words: MonoTM for Topic Modeling with Interpretable Monosemantic Features
- Geometric organization of olfactory descriptor data in the Poincar'e disk
- Positional task conditioning for scalable defect detection across product families in large product catalogs
- Towards Automatic Evolution Tree Generation from Citation Graphs
- The Vibe Shift in Software Engineering: Evaluating AI-Led Conversational Programming for Performance, Cognition, and Responsible Adoption
- BuzzASR: A Swarm of 100+ Monolingual Speech Recognition Models
- TEFM: Token-Efficient Faithful Modeling for Structured Data
- A Statistical Approach to Estimating Sample Size of Machine Learning Models