AI News

State-Grounded Conditioning: Wrapping User-Facing LLM Agents Where Direction Depends on Live State (arxiv.org)

BiCFlow-MER: Orchestrating Discriminative and Generative Multimodal Emotion Recognition via Conditional Transport (arxiv.org)

SHRAV: State-Hypothesis-Reason-Action-Verify Framework for Physical Modeling and Inverse Design (arxiv.org)

Evolutionary Stability Does Not Guarantee Learning Accessibility: A Multi-Agent Reinforcement Learning Perspective on Cooperation Emergence (arxiv.org)

Private Decentralized Optimization with Noise Reduction and Bias Correction (arxiv.org)

Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference (arxiv.org)

Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces (arxiv.org)

NS-ATTENTION: Newton-Schulz Transformations of Attention Outputs in Vision Transformers (arxiv.org)

Evaluation of pre-trained models for pedagogical assessment of novel AI-assisted educational questions (arxiv.org)

Reporting Under Pressure: Separating Factual and Tonal Sycophancy in LLM Statistical Analysis (arxiv.org)

Agent-Editing World Model: Rethinking World Modeling for LLM Agents (arxiv.org)

Order-Invariant Answers, Order-Sensitive Representations in Mathematical Reasoning (arxiv.org)

Learning Holographic Reduced Representations with Clifford Variational Autoencoders (arxiv.org)

The Drift Contract: Spectral Updates for Depth-Robust Local Learning (arxiv.org)

Signal2Symbol: Neuro-Symbolic Temporal Reasoning for Explainable Physiological Time-Series Anomaly Detection (arxiv.org)

HARN: Hierarchical Associative Resonance Network for Event-Driven Multi-Timeframe Forecasting (arxiv.org)

Quantum Reinforcement Learning for Cost and Delay Tradeoffs in Quantum Cloud Orchestration (arxiv.org)

Learning Where to Look: A Shared Relative-Alignment Module for Time-Series Forecasting and PPG-to-Vital-Sign Reconstruction (arxiv.org)

Optimizing watermarks for large language models (arxiv.org)

ProCredit: From Outcome Rewards to Progress Credit in Agentic Reinforcement Learning (arxiv.org)

EBRL: Asynchronous Embodied RL by Multi-Grained Resource Management (arxiv.org)

PhyMo: A Physical-Field Modality for Multimodal AI4Physics (arxiv.org)

From Agent Output to Authorized Transition (arxiv.org)

TNLearn: An Open Source Python Package for Task-based Neurons (arxiv.org)

Do Center Biases Propagate? Robustness of Pathology Foundation Models in Whole-Slide Image Classification (arxiv.org)

Beyond Poetry: Can Large Language Models Generate Classical Arabic Maqamat? (arxiv.org)

Controlling Collectives of AI Agents in Reasoning Space with Spatial Transformers (arxiv.org)

MemBodied: Recurrent Associative Memory for Vision-Language-Action Models (arxiv.org)

Ask Which, Not How Good: Sizing Benchmarks Scored by an LLM (arxiv.org)

Forecast Workflow Bench: Evaluating Language-Model Decisions with Budgeted Forecast Tools (arxiv.org)

Anomaly-Free Self-Optimization via AUC Bounds (arxiv.org)

Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction (arxiv.org)

DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment (arxiv.org)

VCMM: Variance-Calibrated Momentum for Multimodal Learning (arxiv.org)

Does Step Law Transfer to Small-Scale Language Models? An Empirical Recalibration Below 59M Parameters (arxiv.org)

The Capability Manifold and ML Scaling Laws (arxiv.org)

Hidden not Deleted: How Networks Suppress Entangled Features (arxiv.org)

MicroQonv: Reshaping Convolution Tensors for Efficient Microscaling in Training and Inference (arxiv.org)

AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios (arxiv.org)

Pheno-GS: Phenoscape-scale Geodesic Sinkhorn (arxiv.org)

Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting (arxiv.org)

FLEET: From Logits Entropy to Enhanced Trajectories in Text Generation (arxiv.org)

Can LLMs Reason About Runtime Behavior? A Repository-Level Dynamic Benchmark (arxiv.org)

Where Should I Join? Robot Group Joining via Language-Guided Goal Prediction (arxiv.org)

Retrieval Augmented (Knowledge Graph), and Large Language Model-Driven Design Structure Matrix (DSM) Generation of Cyber-Physical Systems (arxiv.org)

The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks (arxiv.org)

A Scalable Multi-Robot Framework for Decentralized and Asynchronous Perception-Action-Communication Loops (arxiv.org)

Live Assistant: Learning Whether, When, and Whom to Assist in Real-World Live Social Streams (arxiv.org)

Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer (arxiv.org)

Robust Adversarial Reinforcement Learning with Risk Sensitivity and Critic Consistency Regularization (arxiv.org)