AI News

On the Lexical Superstition of Large Language Models for Code Comprehension: Re-evaluation on Code of Low Lexical Quality (arxiv.org)

MAVP: Map-Aware Visuomotor Policies for Mobile Manipulation (arxiv.org)

GitScholar: A Dataset for Predicting AI Research Impact from GitHub Engagement (arxiv.org)

HYDRA: Proactive Android Malware Drift Adaptation via Hierarchical Graph Contrastive Learning (arxiv.org)

ToolCUA: Towards Optimal GUI-Tool Path Orchestration for Computer Use Agents (arxiv.org)

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning (arxiv.org)

VeRA: Renewing Reasoning Benchmarks with Executable Specifications (arxiv.org)

A Survey of Agentic Reasoning for Large Language Models: Towards Recursively Self-Improving and Collective Agents (arxiv.org)

Target alignment, dilution and forecast selection when cross-sectional forecasts share a common target (arxiv.org)

From IceCube to IT-Sphere: A Hybrid Quantum-Classical GNN for Banking IT Root Cause Analysis (arxiv.org)

EquivSVA: A Formally Verified Dataset of Behavioral Assertions Across Equivalent RTL Implementations (arxiv.org)

The Sirens' Song: When Proximal Background Context Overshadows Distant Evidence (arxiv.org)

Train Where the Quantized Model Goes: On-Policy Distillation for Low-Bit Reasoning (arxiv.org)

The Self Driving Portfolio: Agentic Architecture for Institutional Asset Management (arxiv.org)

A Spectral Theory of Grokking: Weight Decay induces Feature Learning (arxiv.org)

MAGIC: Mixed-Granularity Agent Graphs via Incremental Construction with Dense-Reward Reinforcement Learning (arxiv.org)

Label-Efficient Learning for Ground-Based Sky-Image Classification: A Benchmark of Transfer Learning, Active Learning, and Pseudo-Labeling on GCD (arxiv.org)

Greedy Decoding Is Not Precision-Invariant: Cross-Precision Output Divergence in LLM Inference (arxiv.org)

TransBERT: A Framework for Synthetic Translation in Domain-Specific Language Modeling (arxiv.org)

Towards Hierarchical GNNs for multi-grid power flow: generalization across operating scenarios (arxiv.org)

Notes on Fourier-Bessel wavelets (arxiv.org)

When Recursive Models Finish Computing (arxiv.org)

Can We Predict Anomaly Detection Performance from Embedding-Space Geometry? (arxiv.org)

DeepFEAv2: Deep Learning for Transient Finite Element Analysis Beyond Structured Meshes (arxiv.org)

OMatG-flash: An All-Atom Flow Map with Reinforce Adjoint Matching for Scalable Materials Discovery (arxiv.org)

Double Descent and Malign Overfitting in Diffusion Models (arxiv.org)

TimeInteract: Towards Real-Time Interactive Intelligence for Streaming Time Series (arxiv.org)

Learning to Defer with Guidance on Real World Medical Data (arxiv.org)

FairMean: Promoting Fairness in Distributed Learning under Label Poisoning Attacks (arxiv.org)

PACT: From Credit Assignment to Critic Alignment (arxiv.org)

SyzHarness: Patch-Based Kernel Bug Reproduction with LLM-Synthesized Fuzzing Harnesses (arxiv.org)

On the Effect of Bit-Level Parameter Perturbations in Machine Learning and Deep Learning Models (arxiv.org)

Disaggregated Quantization: Specializing LLM Prefill and Decode (arxiv.org)

PreGS: A Parameter-Transfer-Based Multi-Expert Graph Neural Network for Node Classification (arxiv.org)

CompKV: Compensation-Aware KV Selection for Long-Context LLM Inference (arxiv.org)

Quantifying Protocol-Induced Uncertainty in Comparative Predictive-Model Evaluation: Evidence from Large-Scale Daily PM10 Forecasting (arxiv.org)

Sample-Smooth Spaces: A Convenient Category for Differentiable Probabilistic Programming (arxiv.org)

FLARE: A Full-Lifecycle Dense Supervision Paradigm for Long-Horizon Coding Agents via Generative Reward Model (arxiv.org)

Team DArgk at the 2026 ELOQUENT lab for evaluating generative language model quality: Residuals of Humanity: AI Detection Evasion via GRPO Fine-Tuning (arxiv.org)

A Governance-Aware Large Language Model Orchestrated Agentic Digital Twin for Transmission System Operator Control Room Decision Support (arxiv.org)

H2LooP Telecom Model v1: From Telecom Comprehension to Autonomous Issue and PR Resolution (arxiv.org)

Damage Predicts Recovery: When Calibration Data Matters in Compressing Financial LLMs (arxiv.org)

Toolcompass: Guiding Tool Trialing, Not Suppressing It (arxiv.org)

CODA: Depth-Aligned Scene Completion and Object Decomposition from a Single RGB-D Image (arxiv.org)

Ladders of Thought: A Self-Evolving Curriculum of Progressively Simplified Reasoning Traces (arxiv.org)

Accelerating the Mitigation of LLM Inference Nondeterminism Across GPU Architectures (arxiv.org)

Evaluating Personal Information Output from Conversational Interactions in Generative AI Systems (arxiv.org)

When and How Should an Agent Clarify? CIGAsk: Teaching LLMs to Clarify via Counterfactual Information Gain (arxiv.org)

How Many Pixels Is a Digit Worth? Place-Aware Coordinate Entropy for GUI Agent Confidence Estimation (arxiv.org)

Unsupervised Brain Anomaly Detection as a Bayesian Inverse Problem with Diffusion Prior (arxiv.org)