AI News

Improvise, Adapt, Overcome: An On-The-Fly Multifidelity Algorithm for Efficient Machine Learning (arxiv.org)

AdaWeather: Adaptively Mixing Probabilistic Weather Forecasts with Logarithmic Regret (arxiv.org)

When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning (arxiv.org)

NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation (arxiv.org)

A Scoping Review of the Ethical Perspectives on Anthropomorphising Large Language Model-Based Conversational Agents (arxiv.org)

Auditable Climate Risk Intelligence from Fragmented ESG Data: Deterministic Orchestration and Imbalance-Aware Learning for Scope 1-3 Validation (arxiv.org)

EvoDS: Self-Evolving Autonomous Data Science Agent with Skill Learning and Context Management (arxiv.org)

When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming (arxiv.org)

IdEst: Assessing Self-Supervised Learning Representations via Intrinsic Dimension (arxiv.org)

Visual Graph Scaffolds for Structural Reasoning in Large Language Models (arxiv.org)

BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces (arxiv.org)

Building Better Activation Oracles (arxiv.org)

CL-DMDF:Dynamic Multimodal Data Fusion Model Based on Contrastive Learning (arxiv.org)

Locality Does Not Imply Reachability: Boundary Repair in Block-Sparse Causal Attention (arxiv.org)

Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis (arxiv.org)

Thinking Past the Answer: Evaluating Harmful Overthinking in Large Reasoning Models (arxiv.org)

Before Fusion, Ask What to Keep: Contextual Calibration of Multimodal Signals (arxiv.org)

$\Psi$-Bench: Evaluating Persona-Sensitive Influencing in Persuasive Dialogues (arxiv.org)

Diagnosing Knowledge Gaps in LLM Tool Use: An Agentic Benchmark for Novel API Acquisition (arxiv.org)

FGRPO: Federated GRPO with Adaptive Aggregation on Non-IID Data (arxiv.org)

Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies (arxiv.org)

Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making (arxiv.org)

SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents (arxiv.org)

DECA: Decentralizing Block-Wise Adam for Efficient LLM Full-Parameter Fine-Tuning on Non-IID Data (arxiv.org)

FederatedSkill: Federated Learning for Agentic Skill Evolution (arxiv.org)

Making Brain-Computer Interfaces More Secure (arxiv.org)

BigFinanceBench: A Workflow-Grounded Benchmark for Financial-Research Agents (arxiv.org)

Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification (arxiv.org)

Right Makes Might: Aligning Verified Hidden States Empowers RL Reasoning (arxiv.org)

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond (arxiv.org)

Leveraging BART to Assess CS1 C++ Programming Assignments using Rubric-based Criteria (arxiv.org)

Spectral Asymptotics of Neural Network Loss Landscapes: An Exact Decomposition of the Curvature Exponent (arxiv.org)

Are Common Substructures Transferable? Riemannian Graph Foundation Model with Neural Vector Bundles (arxiv.org)

"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems (arxiv.org)

Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks (arxiv.org)

Causal Preference Elicitation (arxiv.org)

Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill (arxiv.org)

Neuron Populations Exhibit Divergent Selectivity with Scale (arxiv.org)

ROBUST-WT: Robust Uncertainty-aware Segmentation Transform via Whitening and Training Enhancements (arxiv.org)

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates (arxiv.org)

Applying Two-Grid Preconditioner for Subsurface Flow Simulation using Attention-enhanced Hybrid Network to Accelerate Multiscale Discretization in High-contrast Media (arxiv.org)

Bayesian Tensor Decomposition with Diffusion Model Prior (arxiv.org)

Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization (arxiv.org)

High-Dimensional Latents Should Be Diagnosed Through Phase Structure (arxiv.org)

Cross-Modal Contrastive Learning of ECG and Angiography Representations for Severe Stenosis Classification (arxiv.org)

Learning Self-Interpretation from Interpretability Artifacts: Training Lightweight Adapters on Vector-Label Pairs (arxiv.org)

Learning Temporal Causal Structure via Smooth Differentiable Optimization (arxiv.org)

Social Caption: Evaluating Social Understanding in Multimodal Models (arxiv.org)

Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models (arxiv.org)

Spike-Aware C++ INT8 Inference for Sparse Spiking Language Models on Commodity CPUs (arxiv.org)