AI News

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)

Overcoming Rank Collapse in Feedback Alignment (arxiv.org)

TRACE: A Unified Rollout Budget Allocation Framework for Efficient Agentic Reinforcement Learning (arxiv.org)

Efficiently Learning Drifting Halfspaces with Massart Noise (arxiv.org)

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning (arxiv.org)

Unifying Local Communications and Local Updates for LLM Pretraining (arxiv.org)

Exploring the Design Space of Reward Backpropagation for Flow Matching (arxiv.org)

DAH-Net: A Dual-Attention Hybrid Network for Interpretable and Robust EEG-Based Emotion Recognition (arxiv.org)

Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors (arxiv.org)

MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning (arxiv.org)

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs (arxiv.org)

Rethinking the Flow-Based Gradual Domain Adaptation: A Semi-Dual Optimal Transport Perspective (arxiv.org)

MMD Guidance: Training-Free Distribution Adaptation for Diffusion Models via Maximum Mean Discrepancy Guidance (arxiv.org)

SCOPE: Sequential Causal Optimization of Process Interventions (arxiv.org)

Model-Based Reinforcement Learning in Discrete-Action Non-Markovian Reward Decision Processes (arxiv.org)

When Distance Distracts: Representation Distance Bias in BT-Loss for Reward Models (arxiv.org)

Fact-Augmented Lookahead Planning for LLM Agents (arxiv.org)

A Machine Learning Theory Perspective on Strategic Litigation (arxiv.org)

FreshRetailNet-LT: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail (arxiv.org)