AI News

SAILS: Surrogate-based Analysis of Interactions via Local Effect Smooths (arxiv.org)

Towards Graph Foundation Models for Dynamics in Complex Networked Systems: Lessons from Super-Spreader Identification in Multilayer Networks (arxiv.org)

Cutting LLM Evaluation Costs with SySRs: A Bandit Algorithm that Provably Exploits Model Similarity (arxiv.org)

Tensorizing Engram: Sharing Latents Across N-Gram Embeddings is Beneficial in LLMs (arxiv.org)

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers (arxiv.org)

QDSP: An Interpretable Structured Learning Framework for Predicting Death or Cerebral Palsy in Very Low Birth Weight Infants (arxiv.org)

Barycentric Projections of Optimal Transport Plans on Riemannian Manifolds (arxiv.org)

Scaling Laws for Masked-Reconstruction Transformers on Single-Cell Transcriptomics (arxiv.org)

Weak-Driven Learning: How Weak Agents make Strong Agents Stronger (arxiv.org)

Who Earns the Safety? Intervention-Aware Quantum Predictive Control with Safety Attribution (arxiv.org)

FASE: Fast Adaptive Semantic Entropy for Code Quality (arxiv.org)

Observability for Delegated Execution in Agentic AI Systems (arxiv.org)

An 84-Format Numeric Catalog with Bit-Exact Conformance Vectors: A Vendor-Neutral Reference for FP8, BF16, MXFP4, and Microscaling Formats (arxiv.org)

A Graphop Analysis of Graph Neural Networks on Sparse Graphs: Generalization and Universal Approximation (arxiv.org)

Foundation Inference Models for Ordinary Differential Equations (arxiv.org)

On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature (arxiv.org)

The Label Horizon Paradox: Rethinking Supervision Targets in Financial Forecasting (arxiv.org)

Your Self-Play Algorithm is Secretly an Adversarial Imitator: Understanding LLM Self-Play through the Lens of Imitation Learning (arxiv.org)

A systematic investigation of molecular encoding methods for drug property predictions across neural network and Transformer encoder-based model (arxiv.org)

Hardening Agent Benchmarks with Adversarial Hacker-Fixer Loops (arxiv.org)

RAM: Reachability Across Morphologies (arxiv.org)

Fourier Neural Operators with rank-1 lattice points and hyperbolic cross (arxiv.org)

CHROMA: Detecting AI-Generated Images through Inter-Channel Color-Space Correlations (arxiv.org)

Structure-Aware Modeling of Multiple-Choice Questions Improves Automatic Difficulty Estimation (arxiv.org)

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT (arxiv.org)

Generative Reasoning Re-ranker (arxiv.org)

CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation (arxiv.org)

XCR-Bench: Benchmarking Cross-Cultural Reasoning in LLMs via Culture-Specific Items and Hall's Triad (arxiv.org)

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers (arxiv.org)

CLONE: A 3DGS-Based Closed-Loop Differentiable Optimization Framework for Single-Image Normal Estimation (arxiv.org)

AMix-1: A Pathway to Test-Time Scalable Protein Foundation Model (arxiv.org)

Failure by Interference: Language Models Make Balanced Parentheses Errors When Faulty Mechanisms Overshadow Sound Ones (arxiv.org)

ACTIVE-o3: Empowering MLLMs with Active Perception via Pure Reinforcement Learning (arxiv.org)

From A to B to A: Palindromic Zero-Shot Voice Conversion with Non-Parallel Data (arxiv.org)

IR-SIM: A Lightweight Skill-Native Simulator for Navigation, Learning, and Benchmarking (arxiv.org)

Compositional Approximation Can Strictly Outperform Superpositional Approximation (arxiv.org)

Discovering and decoding latent mean-field structure with variational autoencoders (arxiv.org)

Balancing Real and Synthetic Data for CNN-based Masonry Crack Detection (arxiv.org)

Reward Shaping for (Inference-Time) Alignment: A Stackelberg Game Perspective (arxiv.org)

Continuous Language Diffusion as a Decoder-Interface Problem (arxiv.org)

ATLAS: Verifier-Guided Adaptive Latent Activation Steering for Efficient LLM Reasoning (arxiv.org)

Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives (arxiv.org)

FADTI: Fourier and Attention Driven Diffusion for Multivariate Time Series Imputation (arxiv.org)

Developing Distance-Aware Physics-Constrained Probabilistic Frameworks for Industrial Prognostics (arxiv.org)

Advancing Mathematics Research with AI-Driven Formal Proof Search (arxiv.org)

MBABench: Evaluating LLM Agents on End-to-End Spreadsheet Tasks in Finance (arxiv.org)

Goal-Oriented Reasoning for RAG-based Memory in Conversational Agentic LLM Systems (arxiv.org)

Engagement Process: Rethinking the Temporal Interface of Action and Observation (arxiv.org)

Executable World Models for ARC-AGI-3 in the Era of Coding Agents (arxiv.org)

OptMuon: Closed-Loop Orthogonalized Momentum Methods for Stochastic Optimization with Zero-Noise Optimality (arxiv.org)