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[2603.26846] Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry
Llms

[2603.26846] Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry

Abstract page for arXiv paper 2603.26846: Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry

arXiv - AI · 4 min ·
[2603.26842] VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection
Llms

[2603.26842] VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

Abstract page for arXiv paper 2603.26842: VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection

arXiv - AI · 4 min ·
[2603.26841] FatigueFormer: Static-Temporal Feature Fusion for Robust sEMG-Based Muscle Fatigue Recognition
Machine Learning

[2603.26841] FatigueFormer: Static-Temporal Feature Fusion for Robust sEMG-Based Muscle Fatigue Recognition

Abstract page for arXiv paper 2603.26841: FatigueFormer: Static-Temporal Feature Fusion for Robust sEMG-Based Muscle Fatigue Recognition

arXiv - AI · 3 min ·
[2603.26839] From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning
Llms

[2603.26839] From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning

Abstract page for arXiv paper 2603.26839: From Pixels to BFS: High Maze Accuracy Does Not Imply Visual Planning

arXiv - Machine Learning · 4 min ·
[2603.26830] A Regression Framework for Understanding Prompt Component Impact on LLM Performance
Llms

[2603.26830] A Regression Framework for Understanding Prompt Component Impact on LLM Performance

Abstract page for arXiv paper 2603.26830: A Regression Framework for Understanding Prompt Component Impact on LLM Performance

arXiv - AI · 4 min ·
[2603.26829] Squish and Release: Exposing Hidden Hallucinations by Making Them Surface as Safety Signals
Llms

[2603.26829] Squish and Release: Exposing Hidden Hallucinations by Making Them Surface as Safety Signals

Abstract page for arXiv paper 2603.26829: Squish and Release: Exposing Hidden Hallucinations by Making Them Surface as Safety Signals

arXiv - AI · 4 min ·
[2603.26827] Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics
Machine Learning

[2603.26827] Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Prediction in Data-Limited Spatial Transcriptomics

Abstract page for arXiv paper 2603.26827: Central-to-Local Adaptive Generative Diffusion Framework for Improving Gene Expression Predicti...

arXiv - AI · 4 min ·
[2603.26823] Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations
Llms

[2603.26823] Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloader and Memory Profiling Innovations

Abstract page for arXiv paper 2603.26823: Throughput Optimization as a Strategic Lever in Large-Scale AI Systems: Evidence from Dataloade...

arXiv - AI · 4 min ·
[2603.26821] Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks
Machine Learning

[2603.26821] Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks

Abstract page for arXiv paper 2603.26821: Epileptic Seizure Prediction Using Patient-Adaptive Transformer Networks

arXiv - AI · 3 min ·
[2603.26816] PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning
Machine Learning

[2603.26816] PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

Abstract page for arXiv paper 2603.26816: PiCSRL: Physics-Informed Contextual Spectral Reinforcement Learning

arXiv - AI · 4 min ·
[2603.26803] A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks
Machine Learning

[2603.26803] A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks

Abstract page for arXiv paper 2603.26803: A Comparative Investigation of Thermodynamic Structure-Informed Neural Networks

arXiv - Machine Learning · 3 min ·
[2603.26801] Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning
Machine Learning

[2603.26801] Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient Learning

Abstract page for arXiv paper 2603.26801: Sparse-by-Design Cross-Modality Prediction: L0-Gated Representations for Reliable and Efficient...

arXiv - AI · 4 min ·
[2603.26800] DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting
Machine Learning

[2603.26800] DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting

Abstract page for arXiv paper 2603.26800: DSO: Dual-Scale Neural Operators for Stable Long-term Fluid Dynamics Forecasting

arXiv - AI · 4 min ·
[2603.26799] Gaussian Joint Embeddings For Self-Supervised Representation Learning
Nlp

[2603.26799] Gaussian Joint Embeddings For Self-Supervised Representation Learning

Abstract page for arXiv paper 2603.26799: Gaussian Joint Embeddings For Self-Supervised Representation Learning

arXiv - Machine Learning · 4 min ·
[2603.26798] Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
Llms

[2603.26798] Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings

Abstract page for arXiv paper 2603.26798: Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings

arXiv - AI · 4 min ·
[2603.26797] MemGuard-Alpha: Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting via Membership Inference and Cross-Model Disagreement
Llms

[2603.26797] MemGuard-Alpha: Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financial Forecasting via Membership Inference and Cross-Model Disagreement

Abstract page for arXiv paper 2603.26797: MemGuard-Alpha: Detecting and Filtering Memorization-Contaminated Signals in LLM-Based Financia...

arXiv - Machine Learning · 4 min ·
[2603.26796] Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
Llms

[2603.26796] Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints

Abstract page for arXiv paper 2603.26796: Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints

arXiv - AI · 3 min ·
[2603.26786] A Step Toward Federated Pretraining of Multimodal Large Language Models
Llms

[2603.26786] A Step Toward Federated Pretraining of Multimodal Large Language Models

Abstract page for arXiv paper 2603.26786: A Step Toward Federated Pretraining of Multimodal Large Language Models

arXiv - AI · 4 min ·
[2603.26778] TED: Training-Free Experience Distillation for Multimodal Reasoning
Machine Learning

[2603.26778] TED: Training-Free Experience Distillation for Multimodal Reasoning

Abstract page for arXiv paper 2603.26778: TED: Training-Free Experience Distillation for Multimodal Reasoning

arXiv - AI · 4 min ·
[2603.26775] Learning to Select Visual In-Context Demonstrations
Llms

[2603.26775] Learning to Select Visual In-Context Demonstrations

Abstract page for arXiv paper 2603.26775: Learning to Select Visual In-Context Demonstrations

arXiv - AI · 3 min ·