AI News

Encrypted Skills Can Become New Security Exploits If AI Agents Know How to Decipher (arxiv.org)

JevGPT: Thinking Fast and Slow in Autonomous Research (arxiv.org)

Which Optimizer Leaks Most? Optimizer Implicit Bias as a Training-Data Privacy Controller (arxiv.org)

Teaching MLP More Graph Information: A Three-stage Multitask Knowledge Distillation Framework (arxiv.org)

AffectWorld: Benchmarking Emotion-Driven Future World Prediction (arxiv.org)

SimInter: Evidence-Grounded User Simulation with Interview-Based Profile Enrichment for Conversational Recommender Systems (arxiv.org)

ShoeFit: A New Dataset and Dual-image-stream DiT Framework for Virtual Footwear Try-On (arxiv.org)

Lightweight but Linguistically Fair? Quantisation Robustness across Bavarian, German, and English (arxiv.org)

Structure-aware Bayesian full waveform inversion via diffusion-regularized Stein variational gradient descent (arxiv.org)

Test-Time Forecasting: Recurrent Depth Enables In-Context Dynamics Prediction (arxiv.org)

Let the Mind Conceive, Let the Hand Achieve: Following Multimodal Instructions for Long-Horizon Robotic Manipulation (arxiv.org)

Urbex: Agentic Spatial Grounding for City-Scale 3D Scenes (arxiv.org)

PRISM: Calibrating Black-Box Judges with Counterfactual Probes (arxiv.org)

Graph-free Retrieval with Graph-Modified Embeddings (arxiv.org)

Not All Drift Is a Mechanism: Tracing Prompt Adaptation in LLMs (arxiv.org)

Student Copula Markov Networks (arxiv.org)

Do Factuality Methods Make LLMs More Factual? Reproducibility and Fair Comparison (arxiv.org)

Resource-Efficient 3D Shape and Orientation Estimation of Road Users using Roadside RGB Camera and 3D Radar (arxiv.org)

Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages (arxiv.org)

FedGraph: Defending Federated Large Language Model Fine-Tuning Against Backdoor Attacks via Graph-Based Aggregation (arxiv.org)

How Well Do LLMs Perform in Peer Review? Evidence from Finance and Accounting (arxiv.org)

Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments (arxiv.org)

Conformalized Physics-Informed Weak Regression for Parameter Estimation in Epidemic Models (arxiv.org)

STAMP as a topology-aware molecular language for fragment-level learning and editing (arxiv.org)

Learning Perturbation-Specific Representations through Conditional Energy Prior for Cellular Response Prediction (arxiv.org)

MemoryVLN: From Ego-Aware Memory Representation to Cross-Context Memory Reuse in Vision-Language Navigation (arxiv.org)

Task-evoked eye movements as candidate digital biomarkers of depression severity in adolescents and young adults (arxiv.org)

Discrete Diffusion Models are Minimax Optimal Under Sparsity (arxiv.org)

Semi-Amortized Bayesian Inference with Reusable Local Posteriors (arxiv.org)

Asymptotic Behavior of Transformers (arxiv.org)

Better Capturing Interactions Between Products in~Retail: Revisited Negative Sampling for~Basket Choice Modeling (arxiv.org)

EgoOmniWorld: Unifying Egocentric Understanding via Ego-Action-World Interactions (arxiv.org)

A Global View of How LLMs Value Human Time (arxiv.org)

The Geometry of Language Model Logits: Generic Structure and Learned Departures (arxiv.org)

LLM2R: From Large Language Models to 3D Reassemblers (arxiv.org)

APTree: Extended Behavior Trees for Adaptive and Scalable Automated Robotic Task Planning in Construction (arxiv.org)

On Symmetry for Characterizing Agent Heterogeneity in Multi-Agent Systems (arxiv.org)

The Many Morals of AI: The cautionary bias of North American news narratives in global perspective (arxiv.org)

When More Objectives Make Identification Easier: The Role of Preferences and Feedback (arxiv.org)

Falsification-proof non-market allocation mechanisms (arxiv.org)

Delay Complexity Dimension: Learning with Delayed and Censored Labels (arxiv.org)

Projected Wasserstein-Fisher-Rao Flows for Hawkes Background-Intensity Estimation (arxiv.org)

GeoMER: A Joint Euclidean-Hyperbolic Geometry Framework for Multimodal Emotion Recognition (arxiv.org)

ACCRUE: Continual Off-Policy Reinforcement Learning for Robot Foundation Models (arxiv.org)

PhysicsSliders: Learning Physical Controls for Audio Foley Generation (arxiv.org)

Rethinking Projector Training in Multimodal LLMs (arxiv.org)

Model-Based Online Decision Making via Generative Trajectory Planning (arxiv.org)

Generalizing Identifiability Results in Causal Discovery from Complete Data to Missing Data Settings (arxiv.org)

DPOison-VL: Clean Preference Poisoning in Vision-Language Direct Preference Optimization (arxiv.org)

Jev-ToM: Evaluating Theory of Mind in Typed Decision Models (arxiv.org)