AI News

Sim2Schedule: A Simulator-Guided LLM Framework for Autonomous Open-Pit Mine Scheduling (arxiv.org)

Supervised Fine-tuning with Synthetic Rationale Data Hurts Real-World Disease Prediction (arxiv.org)

RealMath-Eval: Why SOTA Judges Struggle with Real Human Reasoning (arxiv.org)

Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph (arxiv.org)

Minimalist Genetic Programming (arxiv.org)

Operator Fusion for LLM Inference on the Tensix Architecture (arxiv.org)

Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents (arxiv.org)

Instruction Finetuning DeepSeek-R1-8B Model Using LoRA and NEFTune (arxiv.org)

Does Normalization Choice Matter for Causal Large Time-Series Models? (arxiv.org)

Aesthetic Perspectives in Information Systems Research: A Hermeneutic Analysis (arxiv.org)

Flash-GMM: A Memory-Efficient Kernel for Scalable Soft Clustering (arxiv.org)

RAG over Thinking Traces Can Improve Reasoning Tasks (arxiv.org)

The hyper-scaled NLP bound for maximum-entropy remote sampling (arxiv.org)

AI Application Gives Users Real-Time Feedback on the Level of Peace in the Social Media Videos They Watch (arxiv.org)

SAFE: An LLM-as-Verifier Framework for Evidence-Grounded Multi-Hop Reasoning (arxiv.org)

Attention Expansion: Enhancing Keyphrase Extraction from Long Documents with Attention-Augmented Contextualized Embeddings (arxiv.org)

Effective Reinforcement Learning for Agentic Search by Recycling Zero-Variance Queries During Training (arxiv.org)

Using the YOLOv12 Model for Verifying the Correct Color Sequence of Wires in Network Cables (Patch Cords) on the Production Line (arxiv.org)

UniDexTok: A Unified Dexterous Hand Tokenizer from Real Data (arxiv.org)

Decentralized Multi-Agent Systems with Shared Context (arxiv.org)

Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence (arxiv.org)

Accounting for AI Inference in Corporate GHG Inventories: A Four-Tier Methodology for Scope 3 Category 1 Reporting (arxiv.org)

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)