AI News

TraceForge: Distilling with Your Own Thinking (arxiv.org)

Lineage-Aware Search Control for LLM-Based Evolutionary Factor Mining (arxiv.org)

Recursive Code Evolution for Task-Oriented Semantic Communications (arxiv.org)

Space weather dependence of decameter-scale ionospheric irregularities spatial distribution (arxiv.org)

Watch Your Step: Anticipated Perception for Humanoid Locomotion (arxiv.org)

No Frames, Just Frequencies: Bandwidth-Efficient Deployment-Time Adaptation for Smart Glasses (arxiv.org)

SCDM: Scalable Causal Discovery in Nonlinear Temporal Systems with Meta-Learning (arxiv.org)

CORD: Conflict-Aware Optimization for Joint RL and Distillation in Agents (arxiv.org)

FrontierCS 2: A Benchmark for Computer Science R&D (arxiv.org)

Your Benchmark Is an Empirical Measure Over Difficulty (arxiv.org)

A Sharp Dynamic Haussler Lemma (arxiv.org)

Monitorability Is Trainable: Post-Training for Chain-of-Thought Monitorability (arxiv.org)

Structure-Aware Message Passing on Petri Nets through Directed Walks and Incidence Diffusion (arxiv.org)

DriveMLP: When Training Strategy Outperforms Model Complexity in Autonomous Driving (arxiv.org)

Characterizing Oblivious Common-Reward Multi-Player Bandits: Universal Stationarity, Coordination Traps, and Certified Global Rates (arxiv.org)

Privacy in Context Is Being Overlooked in the Age of General-Purpose LLMs (arxiv.org)

Leveraging Time-Series Foundation Models for Financial Crime Detection (arxiv.org)

SPARE: Sparsity Allocation via Routing Entropy for Efficient MoEs (arxiv.org)

Probabilistic Machine Learning for Short-Term Atmospheric Seeing Forecasting (arxiv.org)

Cross-Area Transfer Learning for VLC-based Indoor Localization with a Transfer Efficiency Score (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)

DriftNeRF: Cross-Ray Density Drifting for Sparse-View Neural Radiance Fields (arxiv.org)

Dual-Channel Contrastive Encoding of Sperm Whale Coda (arxiv.org)

OccJEPA: Occlusion as Masking for Amodal Video Segmentation (arxiv.org)

Our Own Jev: Typed Decisions in One Forward Pass, from an In-House Judge to Open LoRA Models (arxiv.org)

Target Regeneration Shrinks the Gains of Draft-Training Objectives in Speculative Decoding (arxiv.org)

The Optimal Sampler for Diverse TSP Solutions: Characterization, Limits, and Learning (arxiv.org)

AgentPolicyForge: From Executable Environments to Policy Benchmarks and Adaptive Guards (arxiv.org)

Can Quantum Layers offer Performance and Security Advantages in Vision-Language Models? (arxiv.org)

HyperDrone: Simulation-to-Reality Transfer at Millions of Frames per Second (arxiv.org)