AI News

$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient (arxiv.org)

ROSS: Relearning from Self-Generated Rollouts through Selective Supervision (arxiv.org)

Constructing Challenging Browser-Use Tasks by Controlled Environment Interventions (arxiv.org)

Towards Interaction State Recognition in Sensorized Gecko-Inspired Adhesive Interfaces for Orbital Servicing (arxiv.org)

Ammonia-Hydrogen Phase Equilibria in Planetary Envelopes from First-Principles-Based Machine-Learning Molecular Dynamics (arxiv.org)

This is SParTA: A modular, efficient and scalable transformer architecture for jet-tagging (arxiv.org)

LOB-Impact Benchmark: Emergent Market Impact in Generative Limit Order Book Models (arxiv.org)

Graph Neural Networks for Astrophysics and Cosmology (arxiv.org)

Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling (arxiv.org)

ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems (arxiv.org)

MultiCard: Multiple Attribute Cardinality Estimation via Deep Learning (arxiv.org)

SZED at ArGuard Shared Tasks: Multi-Task Label-Attention and Cross-Modal Fusion for Arabic Hateful Meme Detection (arxiv.org)

When Weak Submodularity Meets Matroids: How Does Standard Greedy Behave? (arxiv.org)

FoundPDE: A generative foundation model for data-driven symbolic discovery of partial differential equations (arxiv.org)

ShlokaDhara: A Multi-Speaker Sanskrit Speech Corpus for Learning Meter-Aware Prosody in Text-to-Recitation (arxiv.org)

CaMeWM: A Causal Medical World Model for Generative Tumor Evolution and Treatment Planning (arxiv.org)

LatticeMind: A Validation-Gated Agentic Framework for Density Functional Theory Workflows (arxiv.org)

H2DF: Calibrated Target Bands for Controllable Language-Model Unlearning (arxiv.org)

Half-Truths Break Similarity-Based Retrieval (arxiv.org)

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting during Parameter-Efficient Fine-Tuning (arxiv.org)

Planning under Noise with Neural Operators (arxiv.org)

Binarization Flattens the Score Space (arxiv.org)

KITE: Decoupling Kinematics and Interaction for Zero-Shot Cross-Embodiment Manipulation (arxiv.org)

NVIDIA Spectrum-X: Hardware-Accelerated Multiplane Networking for Large-Scale AI Training (arxiv.org)

Interpretable PM2.5 Forecasting for Urban Air Quality: A Comparative Study of Adaptive Time-Series Models (arxiv.org)

Turning TS2Vec into a Foundation Model for Time Series Classification (arxiv.org)

PaPi: Parallel Picard-Duhamel Integration for Fast Neuro-Spectral Architectures (arxiv.org)

Continuous-Time Policy Gradient from Discrete Data: Convergence Analysis and Model-Free Algorithms (arxiv.org)

The Token-Energy Law of LLM Decode: Active Bytes and Realized Time Account for Joules per Token (arxiv.org)

The Dynamics of Collapse and Recovery in Clustered Federated Learning (arxiv.org)

TTCS: Test-Time Curriculum Synthesis for Self-Evolving (arxiv.org)

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling (arxiv.org)

Activation Sensitivity as a Unifying Principle for Post-Training Quantization (arxiv.org)

Reinforced Linear Genetic Programming (arxiv.org)

OPTIMA: Optimal One-shot Pruning for LLMs via Quadratic Programming Reconstruction (arxiv.org)

Asymmetric Bidirectional Predictive Dynamics in Google Search and COVID-19 Time Series: A Multi-Horizon Forecast-Error Analysis (arxiv.org)

Convergence of stochastic gradient descent for learning linear neural networks (arxiv.org)

When Do LLMs Help with Feature Selection? A Systematic Empirical Study (arxiv.org)

Learning Computational Structure for Sample-Efficient Prediction (arxiv.org)

Discount Yourself: Self-inclusive Freshness-weighted Gossip for Decentralised Learning under Client Outages (arxiv.org)

Efficient Edge-aware Attention Network for Graph Generation (arxiv.org)

When does Subgroup Balance Matter? Predicting Performance Sensitivity from Latent Separability (arxiv.org)

From Crawled to Published: A Publisher-Controlled Web Architecture for an AI-Native Internet (arxiv.org)

GraphCast-Mamba: Learning Non-Markovian Corrections for Weather Forecasting (arxiv.org)

ECG for laboratory values:A comprehensive physiological and technical analysis (arxiv.org)

Present but Hard to Read: Probing Latent Reasoning with Minimal Pairs (arxiv.org)

Model- and Layer-Level Closed-Loop Forecasting with SSM-Based Spiking Neural Networks (arxiv.org)

Geometry-Agnostic Data-Driven Discovery of Extreme Scenarios (arxiv.org)

LocaLeJEPA: Maximum Entropy Representations under Geometric Priors (arxiv.org)

A Simple and General Approach to top-$k$ Selection (arxiv.org)