AI News

Asynchronous, Generation-Free ABC: Streaming AMIS Reweighting for Heterogeneous Simulator Workloads on HPC (arxiv.org)

OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling (arxiv.org)

Region-Aware Multi-View Inspection Using Deep Learning and Domain-Informed Decision Fusion (arxiv.org)

Right On Q: Recovering Reasoning under Quantization via Self-Generated Trajectories (arxiv.org)

Closed-Loop Dual-Reference Guidance for Accent Control in Cross-Lingual Voice Cloning (arxiv.org)

Decodability Is Not Controllability: Local and Anisotropic Speaker Control in Continuous-Latent TTS (arxiv.org)

Data-driven and physics-guided hindcasting of measured wave spectra (arxiv.org)

Compressing Onboard Language Models for Space Robots under a Behavioral-Fidelity Requirement (arxiv.org)

Group Distributionally Robust Optimization over Decentralized Networks (arxiv.org)

Cache Locally, Recompute Selectively for Streaming Video Understanding (arxiv.org)

Preference Is Not Permission: Personalizing the Auto-Purchase Line in Agentic Commerce (arxiv.org)

On the gradient conjecture at infinity: Finite spherical length for gradient trajectories of definable potentials (arxiv.org)

Reconstruction differences rival individual differences in the fly compass connectome and break trained circuit models (arxiv.org)

A Unified Evaluation Framework of Physical Adversarial Robustness in the Edge VLM Era (arxiv.org)

A Decade of Learning-Based Control: From Theoretic Foundations to Practical Deployment (arxiv.org)

TeachBack: Learning to Teach via Bidirectional Preference Optimization for On-Policy Self-Distillation (arxiv.org)

From Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake (arxiv.org)

SAFTER: Safety-Aware Filtering Through Explicit Recoverability for Robust Reinforcement Learning under Distribution Shift (arxiv.org)

First Passage Attention (arxiv.org)

Breaking Diffusion: Parallel Reasoning with Draft Refinement (arxiv.org)

Self-normalized Bernstein Inequalities for Regenerative Processes and Applications to Learning Without Independence (arxiv.org)

Velocity Ambiguity Profiles: Time-Resolved Bayes-Risk Diagnostics for Flow Matching (arxiv.org)

BatchBench: Benchmarking AI Robustness to Batch Effects and Domain Shift in Biomedical Images - A JUMP Cell Painting Leaderboard (arxiv.org)

Differentially Private Sparse Reward Estimation with Preference Feedback (arxiv.org)

Orbitol: Crystal Generation on Wyckoff Orbits (arxiv.org)

Circuits of LLM Classifiers (arxiv.org)

From Classifier Heads to Encoder Prototypes: Personalized Federated Learning with Head-Derived Clustering (arxiv.org)

Loopholing All the Way: Language Modeling with pure Self-Conditioning (arxiv.org)

ExGrad: Beyond Suppression - Explicit Clean-Gradient Subtraction in Adversarial Training (arxiv.org)

Preventing Model Extraction in Contextual Linear Optimization (arxiv.org)

Reliability-Aware Probabilistic Fusion for Multimodal Learning with Incomplete Evidence (arxiv.org)

Improved Training of Strong Stochastic Flow Maps (arxiv.org)

Local and Global Recursive Ridge Regression for Online Residual Correction of Frozen Multivariate Forecasters under Label Delay (arxiv.org)

A Transfer Learning-Driven Methodology for Efficient and Sustainable Indoor Localization Using VLC (arxiv.org)

Fast Bayesian Optimization Through Linear Models (arxiv.org)

The Reflexivity Threshold: A Phase Transition for Multi-Agent Performative Prediction (arxiv.org)

Second Thoughts: Exploring and Planning through Comparative Imagination in World Models (arxiv.org)

Building a Nested LADDER for LLM Unstructured Post-Training Pruning (arxiv.org)

Motion Equivariant Convolutional LSTM: When Motion Becomes a Gauge Symmetry (arxiv.org)

Offline Apprenticeship Learning for Human-Centric Environments (arxiv.org)

Big Claims, Small Margins: Do Reported GraphLLM Gains Survive Simple Baselines? (arxiv.org)

STAR-XPC: Set Transformer for Estimating X-ray Transmission in Polymer Composites (arxiv.org)

SimHack: Predicting the onset of detectable reward hacking before RL training (arxiv.org)

Scalable Stress-Constrained Topology Optimization: A Super-resolution and Simultaneous Approach Based on Machine Learning (arxiv.org)

Reinforcement learning for hardware acceleration and system-level optimization on FPGA and integrated-circuit platforms: A survey (arxiv.org)

Interaction-Gated Time-Frequency Learning for Parameter-Efficient PPG-Based Heart Rate Estimation (arxiv.org)

To Keep or Not to Keep: Learning KV Cache Retention in Disaggregated LLM Serving Systems (arxiv.org)

Design and Tuning of Multi-Agent Systems Using Bayesian Evolutionary Optimization (arxiv.org)

Recursive Self-Improvement on a Budget: Scoring Code Edits Before They Run (arxiv.org)

SU(2)-Equivariant Spinor Message Passing for Molecular Magnetism (arxiv.org)