AI News

Post-Quantum Secure Federated DeFi for Inclusive Banking (arxiv.org)

Dynamic Linear Attention (arxiv.org)

STORM: Stepwise Token Optimization with Reward-Guided Beam Search (arxiv.org)

Cost-Aware Routing for Efficient Text-To-Image Generation (arxiv.org)

Can Image Models Imagine Time? ImageTime: A Novel Benchmark for Probing Visual World Modeling Through Spatiotemporal Consistency (arxiv.org)

Beyond Static Evaluation: Co-Evolutionary Mechanisms for LLM-Driven Strategy Evolution in Adversarial Games (arxiv.org)

Belief-Space Control for Personalized Cancer Treatment via Active Inference (arxiv.org)

AnomaMind: Agentic Time Series Anomaly Detection with Tool-Augmented Reasoning (arxiv.org)

PRISM: Parallel Residual Iterative Sequence Model (arxiv.org)

A Comprehensive Inference-Time Augmentation Framework in Physiological Signals: Application to PPG-Based AF Detection (arxiv.org)

Validation-Stage Combinatorial Fusion Analysis for Imbalanced Credit-Card Fraud Detection (arxiv.org)

When Metrics Disagree: A Meta-Analysis of Knowledge-Graph-Completion Model Benchmarking (arxiv.org)

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing (arxiv.org)

MinhwaNet: Faithful but Insufficient Object Grounding in Korean Folk Painting (arxiv.org)

Gradient-Guided Reward Optimization for Inference-time Alignment (arxiv.org)

Sampling Triangulations and Calabi-Yau Threefolds with Autoregressive GNNs (arxiv.org)

Spiking Neural Network inference on FPGAs with hls4ml (arxiv.org)

When to Align, When to Predict: A Phase Diagram for Multimodal Learning (arxiv.org)

Predicting Future Behaviors in Reasoning Models Enables Better Steering (arxiv.org)

Algorithmic and Minimax Complexities in Kernel Bandits (arxiv.org)

COGENT: Continuous Graph Emulators with Neural Ordinary Differential Equations for Long-Term Physical Forecasting (arxiv.org)

First-Order Trajectory Matching: Fast Ensemble Predictions of Chaotic, Turbulent, Stochastic Systems (arxiv.org)

Robust Regression of General ReLUs with Queries (arxiv.org)

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference (arxiv.org)

RankLLM: Weighted Ranking of LLMs by Quantifying Question Difficulty (arxiv.org)

ASA: Backbone-Training-Free Representation Engineering for Tool-Calling Agents (arxiv.org)

Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study (arxiv.org)

torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Parallelism for PyTorch (arxiv.org)

V-REX: Benchmarking Exploratory Visual Reasoning via Chain-of-Questions (arxiv.org)

Model-Based Diffusion Sampling for Predictive Control in Offline Decision Making (arxiv.org)

On the Condition Number Dependency in Bilevel Optimization (arxiv.org)

TruthRL: Incentivizing Truthful LLMs via Reinforcement Learning (arxiv.org)

Whisfusion: Parallel ASR Decoding with Masked Diffusion (arxiv.org)

How can we assess human-agent interactions? Case studies in software agent design (arxiv.org)

ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering (arxiv.org)

Constructing coherent spatial memory in LLM agents through graph rectification (arxiv.org)

Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem (arxiv.org)

A Comprehensive Survey of Direct Preference Optimization: Datasets, Theories, Variants, and Applications (arxiv.org)

A Survey on Semantic Modeling for Building Energy Management (arxiv.org)

Belief Acquisition as Stochastic Filtering (arxiv.org)

EEVEE: Towards Test-time Prompt Learning in the Real World for Self-Improving Agents (arxiv.org)

Piper: A Programmable Distributed Training System (arxiv.org)

Flaws in the LLM Automation Narrative (arxiv.org)

Provenance-Grounded Gating and Adaptive Recovery in Synthetic Post-Training Data Curation (arxiv.org)

Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA (arxiv.org)

FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model (arxiv.org)

PhantomBench: Benchmarking the Non-existential Threat of Language Models (arxiv.org)

RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning (arxiv.org)

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models (arxiv.org)

T1-Bench: Benchmarking Multi-Scenario Agents in Real-World Domains (arxiv.org)