AI News

Beyond Equation Search: Conjecture-Guided Discovery with SCOPE and ClosureBench (arxiv.org)

Physical Layer Anomaly Detection via Adaptive Gaussian Mixture Model (arxiv.org)

Virtual-Alloy Physics-Aware Semantic System for extrapolative prediction of perovskite solar cells (arxiv.org)

Discovering Undisclosed Concepts in LoRA Adapters for Diffusion-Based AIGC Models (arxiv.org)

How Far Can Coding Agents Go in Visual Generation? (arxiv.org)

InCLAD: A Continual Learning Benchmark for Industrial Visual Anomaly Detection (arxiv.org)

Deep Learning-based Semantic Segmentation of Dental Radiographs: Comparative Evaluation of PSPNet, DeepLabv3, UNet, and UNet++ (arxiv.org)

GAMW: Generation-Aware Mel-Domain Watermarking for TTS Traceability (arxiv.org)

Have You Been Convinced? A Neuro-symbolic Argumentation Reasoning Approach to Detecting Persuasiveness in ChangeMyView Discussions (arxiv.org)

VLCQ: Post-training quantization for deep neural networks using variable length coding (arxiv.org)

Improving the Bounds on Approximating Weighted Maximin Share for Chores (arxiv.org)

TurnCost: Turns, Not Observations: Cache-Aware Loop Engineering for Coding Agents (arxiv.org)

scHFBiMamba: a bidirectional Mamba autoencoder for cardiac disease-state classification from single-nucleus RNA-seq data (arxiv.org)

Lifted State Policy Optimization: Internalizing Self-Correction through Transition Geometry (arxiv.org)

ShellElastic: Scalable Elastic Pretraining with Simultaneous Maximal Updates and Hyperparameter Transfer (arxiv.org)

Optimization for One, Feasibility for Most: Decoupling Optimization from Feasibility in Chance-Constrained Programs (arxiv.org)

Smart Alone, Blind Together: Why Accuracy Fails to CertifyTheory of Mind in Multi-Agent Teams (arxiv.org)

Revisiting Generative vs. Dense Retrieval: A Static Value Prior Reverses the Gap (arxiv.org)

Similar Models, Broken Odds: Where Luce's Axiom Fails in Chatbot Arena (arxiv.org)

RIECNN: Real-Time Image Enhanced CNN for Traffic Sign Recognition (arxiv.org)

To Defer or Not to Defer? Online Learning with LLMs and Congested Experts (arxiv.org)

UDHRBench: Benchmarking Human Rights in Large Language Models (arxiv.org)

Exploring Jailbreak Vulnerability Across Depth-Based Dynamic Inference in Large Language Models (arxiv.org)

PANINI-DR: Controlled Deep Research through Generative Semantic Workspaces (arxiv.org)

Framework for an AI-Ready ARPES Community Database (arxiv.org)

EvolvAttack: Backdooring self Evolving VLM Agents (arxiv.org)

Sequent-Prover: Training Agents for Formal, Checkable SMT-based Reasoning (arxiv.org)

LeHami: Symplectic Latent Dynamics for World Models (arxiv.org)

CTIA-ODE: Continuous-Time Inter-Variable Attention for Long-Term Time Series Forecasting (arxiv.org)

From Copying to Composition: How Language Models Develop In-Context Learning (arxiv.org)

Online Tokenization with Optimal Delay in Linear Time (arxiv.org)

GeoBridge: Evolving Transferable Decoder Topologies for Geometric Vision (arxiv.org)

North or South? Diagnosing LLMs' Understanding of North Korean Language, Society, and Knowledge (arxiv.org)

Posterior Flow Matching (arxiv.org)

Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification (arxiv.org)

Reinforcement Learning via Advantage Guidance (arxiv.org)

VaryST: Generalizable Spatio-Temporal Forecasting Beyond the Closed-World Setting (arxiv.org)

When Does Depth Help? Understanding Layerwise Inference in Tabular Foundation Models (arxiv.org)

MAPLE: A Multi-Axis Parametric Knowledge Extraction Lens for LLM Evaluation (arxiv.org)

Analyzing and Mitigating Poisoning Attacks on Flow-Based Intrusion Detection (arxiv.org)

Adversarial Reinforcement Learning for Robust Planetary Landing (arxiv.org)

Rent-Seeking Language Models: Reward Models Set the Prices, Frequent Audits Curb the Rent (arxiv.org)

Memory-Efficient Subspace Optimization with Residual Correction: From Momentum SGD to Muon (arxiv.org)

Energy Consumption Analysis of Discrete Diffusion and Autoregressive Language Models (arxiv.org)

SPARS: A Stability-Plasticity-Aware Region Selection Framework for Continual Learning (arxiv.org)

When Non-Adversarial Noise Hurts Learning: Benchmarking Skill Self-Evolution in Agents (arxiv.org)

When Does the Dependency Graph Help Code-to-Architecture Mapping? (arxiv.org)

Occupancy Modeling via Drifting: One-Step Generation Enables Direct Policy Extraction (arxiv.org)

On the Limits of Representation-Based Test-Time Adaptation for Multimodal LLMs (arxiv.org)

Universal Sample-Based Embeddings of Higher-Order Objects (arxiv.org)