AI News

Distilling Foundation Models for Agentic What-If Reasoning:Cost, Latency, and Governance in a Hybrid LLM+SLM Architecture (arxiv.org)

Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups (arxiv.org)

Schema-Adaptive Action-Conditioned JEPA for Cross-Machine CNC Transfer under Partial Sensor Overlap (arxiv.org)

Beyond Distribution Matching: Semantics-Consistent Tabular Diffusion with Weak Semantic Priors (arxiv.org)

GraphIFE: Rethinking Graph Imbalance Node Classification via Invariant Learning (arxiv.org)

A Dynamic Aggregation Strategy Enhanced Efficient Global Optimization Algorithm for Solving High-Dimensional Turbomachinery Design Problems (arxiv.org)

A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator (arxiv.org)

You Don't Need To Train: Agentic Heuristic Learning Studio for Executable Human Activity Recognition (arxiv.org)

HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning (arxiv.org)

Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer (arxiv.org)

OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning (arxiv.org)

Post-Training Large Language Models via Reinforcement Learning from Self-Feedback (arxiv.org)

Tables Decoded: DELTA for Structure, TARQA for Understanding (arxiv.org)

Multi-Agent Collaboration for Automated Design Exploration on High Performance Computing Systems (arxiv.org)

Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents (arxiv.org)

Signed p-adic Residual Encodings of Finite-Domain All-Different Systems with a Sudoku Case Study (arxiv.org)

POSPAN: Position-Constrained Span Masking for Language Model Pre-training (arxiv.org)

Measuring Human Contribution in AI-Assisted Content Generation (arxiv.org)

Closing the Loop: Branch-and-Bound for Scalable Verification of Nonlinear Neural Feedback Systems (arxiv.org)

Sparse MLLM Anchors, Dense Adaptation: Breaking the Self-Referential Loop in Wild Test-Time Adaptation (arxiv.org)

Semi-Supervised Learning-Based Genetic Biomarkers Dataset for Multiple-Stage Hepatocellular Carcinoma Prediction (arxiv.org)

SKIP: a Self-knowledge-guided Step-wise Preference Learning Framework for Concise Reasoning (arxiv.org)

Attention is All You Need Until You Need Retention (arxiv.org)

SyncVoice: Simple and Effective Automatic Video Dubbing with Vision-Augmented TTS (arxiv.org)

ORDER: Task-Conditioned Routing for Retrieval-Augmented Generation (arxiv.org)

ThinkFlow: Self-Evolving Probabilistic Latent Memory for Lifelong Conversational Agents (arxiv.org)

FlexEE: Self-Speculative and KV-Compatible Early Exiting for Offloading-Aware LLM Inference (arxiv.org)

CLIP Embeddings for AI-Generated Image Detection: A Few-Shot Study with Lightweight Classifier (arxiv.org)

Affect-Prototype Guided Fusion for Open-Vocabulary Incomplete Multi-modal Emotion Recognition (arxiv.org)

Scalable Algorithms for Approximate DNF Model Counting (arxiv.org)

Robustness as an Emergent Property of Task Performance (arxiv.org)

AntennaFlow: A Generative Flow Model for Offset Correction in Phaseless Antenna Testing (arxiv.org)

Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning (arxiv.org)

QART: A Quantum-Classical Hybrid Architecture for Long-Horizon Reasoning -- Exploring a Conditional Path toward Quantum Scaling (arxiv.org)

Bridging Learned Visual Perception and Symbolic Belief-Space Planning (arxiv.org)

CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms (arxiv.org)

Execution Flexibility in Automated Planning: A Comparative Evaluation of Deordering and Reordering Strategies (arxiv.org)

Unified Heterogeneous Graph Neural Network solver for Power Flow, Optimal Power Flow and State Estimation (arxiv.org)

Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision (arxiv.org)

Measuring Annotation Efficiency for Handwritten Devanagari Recognition: Sample-Complexity Curves for Four Pretraining Regimes (arxiv.org)

Hybrid Variational Quantum Circuits for Multivariate Regression and High-Dimensional Data Reconstruction (arxiv.org)

Nonnegative matrix factorizations and related compositional models: Equivalence, identifiability, and an application on the grain-size analysis of sediments (arxiv.org)

TEMPO: Learning Temporal Context for Dynamic Robot Manipulation (arxiv.org)

NeuroTS-Net: Multi-Class Semantic Segmentation of Pediatric Brain Tumors in Multi-Modal MRI (arxiv.org)

Can We Do Interpretable NLI with Graphs Based on Atomic Propositions? (arxiv.org)

Layers, Sinks, and Scaling: Adaptive Evidence Selection for Multimodal Large Language Models (arxiv.org)

Integrating the Analytic Hierarchy Process with Large Language Models for Transparent Multi-Criteria Decision-Making (arxiv.org)

Coverage-Aware Virtual IMU Augmentation for Low-Resource Human Activity Recognition (arxiv.org)

Turn-level Multiscale Density Ratio Estimation for LLM Agents (arxiv.org)

Beyond Episodic AI: Cognitive Field Networks for Biologically Inspired Persistent Cognition (arxiv.org)