AI News

New Conditions for Philosophers to Catch the Wave of Citizen Deliberation in the Age of Artificial Intelligence in advance (arxiv.org)

VeriDx: Earning the Right to Diagnose with Disease-Centric Verification (arxiv.org)

Schizophrenia Detection from EEG Signals: A Transformer Framework with Spectrogram Representation (arxiv.org)

Convergent Emergence of In-Context Learning Across Modalities (arxiv.org)

Synthetic Data in Marketing Research: How to Evaluate and When to Trust (arxiv.org)

SAILOR: Solver-Assisted Interactive LLM-based Optimization Recovery (arxiv.org)

LoRA Fine-Tuned Models for Control Systems Course Q\&A: A Multidimensional Evaluation of Model Scale and Rank Effects (arxiv.org)

Self-Evolving Memory for Generative Recommendation (arxiv.org)

Big Brains and Changing Environments: Cause or Consequence? (arxiv.org)

PIVOT: Physics-Grounded Verification for AI-Generated Audio-Video Detection (arxiv.org)

Decision-Oriented Uncertainty Quantification for Risk Control in Earth System Spatiotemporal Foundation Models (arxiv.org)

The Filter Metric is Safety-Critical: Phantom Advantages in Group-Relative RL under Shaped Rewards (arxiv.org)

An Uncertainty-Aware Hybrid Mathematical-Machine-Learning Model for Smart Irrigation Decision Support (arxiv.org)

ReH-FUSE: Reliability-Aware Hierarchical Fusion of Experts for Multimodal Emotion Recognition in Conversation (arxiv.org)

Affinity-Aware Sharding for Delayed Tensor Parallelism (arxiv.org)

Pre-training with Graph Transformers (arxiv.org)

Accuracy Is Not Service: A Decision-Aware Benchmark for Intermittent-Demand Forecasting (arxiv.org)

Graph Neural Networks for Influence Maximization in Social Networks: An Unsupervised Minimum Dominating Set Approach (arxiv.org)

Benchmarking Optimizers to Solve Inverse Problems with Differentiable Physics Simulators (arxiv.org)

PPDL: A Real-world Industrial User Retention Ratio Forecasting Framework Integrating Physical Priors with Deep Learning (arxiv.org)

Does Reasoning Improve Psychological Depth in Large Language Models? It Depends on Who's Judging (arxiv.org)

Training Specialist Models without Reasoning Trajectories for Domain Expert Distillation (arxiv.org)

HarnessBandit: Joint Learnability-Transferability Scheduling for Multi-Harness Agentic Reinforcement Learning (arxiv.org)

JumpStart Your Policy Learning with Lessons from 160,000 Training Runs (arxiv.org)

Draining Fictitious Knots: Restoring Distance-Awareness Guarantees for High-Dimensional Spline Networks (arxiv.org)

Fusing Spectral Signatures and Activation Clustering for Backdoor Detection in Healthcare Imaging Models: Method, Implementation, and Evaluation (arxiv.org)

Learning CNF Formulas from Uniform Random Solutions: Near-Tight Sample Complexity for Valiant's Algorithm (arxiv.org)

BioDCASE: Active Learning for Bioacoustics (arxiv.org)

ProtoGuide: Prototype-Driven Guidance for Class-Conditional Graph Generation (arxiv.org)

Convergence rates for generative drifting flows: fixed-scale obstructions and multihead acceleration (arxiv.org)

Rethinking Correctness for Uncertainty Estimation in Clinical Prediction with Vision-Language Models (arxiv.org)

Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification (arxiv.org)

Temporal Self-Distillation: Faster Inference in Discrete Diffusion Language Models (arxiv.org)

Nearly Minimax-Optimal Regret for Linear Contextual Bandits with Arbitrary Adaptive Action Sets (arxiv.org)

Multi-source Transfer Learning of Time Series with a Shapelet-based Distance Measure (arxiv.org)

Omni-Streaming Thinking (arxiv.org)

Refinement-based Flow Policy Optimization (arxiv.org)

Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context (arxiv.org)

$\mathbb{SL}(n)$ Representation Learning: An Intrinsic Mixed-Curvature Space with Higher Curvature Capacities and Deeper Order-Aware Composition (arxiv.org)

Ensemble-Conditioned Molecular Design (arxiv.org)

NeuroFlex: Lossless Element-Level ANN-SNN Co-Execution for Efficient Sparse Inference (arxiv.org)

Branched Optimal Transport Amortization (arxiv.org)

Sensory Precision Inference for Multimodal Arbitration under Uncertainty (arxiv.org)

What Does an LLM Learn from Reinforcement Learning? A Mechanistic Interpretability Perspective with Fixed-SAE Track (arxiv.org)

Not All Prompts Are Equal: Exploration-Guided Prompt Scaffolding for Multimodal Reinforcement Post-Training (arxiv.org)

MoARa: Module-Aware Rank Allocation and Structure-Preserving Decomposition for Low-Rank LLM Pre-training (arxiv.org)

Pick Your Poison: Learning to Select Poison Sets for Stronger LLM Backdoor Attacks (arxiv.org)

HGTO: A Unified Graph-Based Physics-Informed Formulation for Structural Topology Optimization (arxiv.org)

LiftGCN: Efficient Energy-Preserving Graph Learning via Joukowski Spectral Lifting for Finite Element Stress Prediction (arxiv.org)

Learning to Solve Stochastic Controls with Unknown Drifts and Running Rewards: Theory, Algorithms and Convergence (arxiv.org)