AI News

A Minimalist Brain-Computer Musical Interface for Real-Time Emotion-Driven Sonification: System Design and Preliminary Evaluation (arxiv.org)

TERRA: Task-Embedded Reasoning and Representation Architecture for Cross-Domain Applications (arxiv.org)

A Multi-AI-agent Framework Enabling End-to-end Finite Element Analysis for Solid Mechanics Problems (arxiv.org)

Prior-Guided Multi-Omic Transformers for Single-Cell Gene Regulatory Network Inference (arxiv.org)

Dialectics of Alignment: Harnessing Unsafe Knowledge for Dynamic Safety Routing (arxiv.org)

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction (arxiv.org)

COPF: An Online Framework for Deployment-Stable Counterfactual Fairness in Evolving Graphs (arxiv.org)

Graph Transfer Learning via Shared Latent Geometry: Theory and Applications (arxiv.org)

SORA: Free Second-Order Attacks in Fast Adversarial Training (arxiv.org)

Score $\times$ Decoder: A Unified View of Unsupervised Inference-Time Scaling for Hallucination Mitigation (arxiv.org)

Joint Agent Memory and Exploration Learning via Novelty Signals (arxiv.org)

RoleCDE:Benchmarking and Mitigating Role-Alignment Trade-offs in Role-Playing Agents (arxiv.org)

S-SPPO: Semantic-Calibrated Self-Play Preference Optimization (arxiv.org)

TRON: Targeted Rule-Verifiable Online Environments for Visual Reasoning RL (arxiv.org)

Revisiting Ripple Effects in Knowledge Editing through Pressure-Aware Joint Neighborhood Optimization (arxiv.org)

A multimodal dataset of photoplethysmography and continuous behavioral responses to ASMR and nature videos (arxiv.org)

RADE: Random Add-Drop Edge as a Regularizer (arxiv.org)

Distributed GNEP Algorithms without Multiplier Sharing and Applications to Multi-Robot Coordination and Contextual Bandit-Based Active Learning (arxiv.org)

Confidence-Adaptive SwiGLU for Mixture-of-Experts (arxiv.org)

Logit Distillation on Manifolds: Mapping by Learning (arxiv.org)

On the evolution of the concept of probability as a mirror of the evolution of reason (arxiv.org)

MobEvolve: An Agentic Self-Evolving Heuristic System for Interpretable Human Mobility Generation (arxiv.org)

Evidence-Gated LLM Priors for Multi-Objective Bayesian Optimization (arxiv.org)

TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination (arxiv.org)

TriAlign: Towards Universal Truth Consistency in Personalized LLM Alignment (arxiv.org)

Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning (arxiv.org)

Latent Diffusion Pretraining for Crystal Property Prediction (arxiv.org)

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning (arxiv.org)

Extending Causal Metamodeling to a non-Markovian Queue (arxiv.org)

Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation (arxiv.org)

Memory-Efficient LLM Training with Dynamic Sparsity: From Stability to Practical Scaling (arxiv.org)

EvoBrain: Continual Learning of EEG Foundation Models Across Heterogeneous BCI Tasks (arxiv.org)

Algorithmic algorithm development with LLMs: A Case Study on LLM-Usage for Contraction Order Optimization in Tensor Networks (arxiv.org)

Structure-Guided Adaptive Propagation for Protein-Protein Interaction Site Prediction (arxiv.org)

Stochastic convergence of parallel asynchronous adaptive first-order methods (arxiv.org)

Consistency evaluation of benchmarks used for causal discovery (arxiv.org)

An Exploratory Study into using Machine-Learning for Fast Step-by-step Emulation of Numerical Mechanical Thrombectomy Simulations for Ischemic Stroke (arxiv.org)

OmniEEG-Bench: A Standardized Evaluation Benchmark for EEG Foundation Models (arxiv.org)

A Comparative Analysis of Machine Learning Algorithms for Multi-Task Prediction of the Parameters of the Pectin Hydrolysis--Extraction Process (arxiv.org)

Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents (arxiv.org)

Beyond Independent Manipulation: Individual Fairness-aware Strategic Classification with Peer Imitation (arxiv.org)

Physics-Informed Deep Learning for Entropy Prediction in Heterogeneous Systems: Thermodynamic and Information-Theoretic Case Studies (arxiv.org)

Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems (arxiv.org)

OctoT2I: A Self-Evolving Agentic Text-to-Image Router (arxiv.org)

Token Predictors Are Not Planners: Building Physically Grounded Causal Reasoners (arxiv.org)

An NLP-Driven Framework for Curriculum-Labor Market Alignment: Schema-Constrained LLM Extraction, ESCO-Anchored Semantic Matching, and Multi-Dimensional Gap Quantification (arxiv.org)

CAPF: Guiding Search-Agent Rollouts with Credit-Attenuated Privileged Feedback (arxiv.org)

Evaluation of Baseline Methods for IDD-based SSD External Memory Search (arxiv.org)

Does Compression Preserve Uncertainty? A Unified Benchmark for Quantized and Sparse LLMs via Conformal Prediction (arxiv.org)

Grokers: Bottom-Up Inductive Comprehension and Write-Time Intelligence over Typed Knowledge Graphs (arxiv.org)