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Search: “models”

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Agents

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DGX agent

Yikes New details about the Hugging Face incident from Reuters. The report says OpenAI noticed odd behavior before the event, including an agent leaving notes for future versions of itself with escape

agentselon-musk--x

25 Jul 2026

Research

3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch

DGX agent

arXiv:2607.20789v1 Announce Type: new Abstract: Recent advances in 3D scene editing have leveraged iterative diffusion models to update input views. However, this process is computationally expensive

Search: “models”

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3D-GIMP: When 3D Gaussian Inpainting Meets PatchMatch

A Unified Moral-Value Dataset for Instruction Tuning

Anti-Periodic Positional Encoding: Mobius Boundary Conditions Make In-Context Retrieval Reliable

Are Diversity Metrics Measuring Diversity? A Capability-Controlled Audit of Majority-Vote Gain in LLM Ensembles

Auditing Evidence Use in Medical LLM Diagnosis

BasketEvent: Understanding Who Did What and When in Basketball Videos

Bayesian uncertainty estimation improves clinical decision making in medical AI agents

Beyond SBDD: Geometric Deep Learning in Polypharmacology and Multi-target Drug Design

[BIG DATASET RELEASE] - SupraLabs/reasoning-corpus-4K-5M-v1 - Train your tiny SLMs to think!

Boltzmann generators for amorphous particle systems

Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving

Case study: proving sqrt(2) irrational with LPTP and an LLM

Cautious optimism for deep parameterized quantum circuits

CLUIE: Clustering-Aware Recurrent Propagation with Local Structural Compensation for Underwater Image Enhancement

Cross-Domain Generalization in Optical Networks via Joint Contrastive and Classification Learning

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding

DecodeShare: Tracing the Shared Subspace of LLM Decode-Time Decisions

Demographically-Informed Heat-Mortality Risk Curves via Risk Graph Neural Networks

Distinguishing Artificial from Authentic: Evaluating LLMs for Detecting LLM-Generated Content

Double-Scoring: Reliable Extraction of Strong Lottery Tickets

EmoAgent-R1: Towards Multimodal Emotion Understanding with Reinforcement Learning-based Dynamic Agent Specialization

Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis

EZASP - Facilitating the Usage of ASP

Finite-Sample Coverage Audits for High-Recall Candidate Generation: Certification and Learning-Theoretic Design

From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI

From Resource Flow to Executable Tests: Petri-Net-Guided LLM Test Generation for Concurrent Stateful Rust APIs

GlucoTune: A Unified Framework for Blood Glucose Preprocessing, Forecasting, and Benchmarking in Diabetes

HAMON: Passive Optical Sequence Mixing for Long-Horizon Forecasting

Information-Theoretically Secure Aggregation for Lightweight Federated Learning: Resilient to Dropouts and Adversaries

Lawmakers call for a ‘kill switch’ after rogue AI causes alarm

Learning-based Seam Correspondence Reconstruction in Sewing Patterns

Meta updates Meta AI with Muse Spark 1.1-powered agentic capabilities, connecting to Gmail and Google Calendar to perform tasks like creating daily updates (Ina Fried/Axios)

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

Multi-Task Learning for Heterogeneous Prediction from Video Game State with Transfer Learning

OpenAI and Anthropic are now competing to see who can make the scariest AI for marketing purposes. What could possibly go wrong?

Pipelined Gradient Coding

PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs

Position: Natural Language Should Not Fully Replace Formal Languages

Scaling Up Formal Representation of Clinical Trial Protocols in Ensemble Logic Using LLMs: A Preliminary Study

Self-Supervised Bio-Inspired Robotic Trajectory Planning with Obstacle Avoidance

Semantic Field Theory: Historical Origin, Higher-Order Interaction, and Stabilized Semantic Inference

SiGMA: Sign-Guided Merging and Adaptation for Multimodal Continual Instruction Tuning

Spectral Transformation for Layer-wise Global Rank Discovery in Federated LoRA for Vision Transformers

Statistical physics of deep learning: Optimal learning of a multi-layer perceptron near interpolation

TeaRAG: A Token-Efficient Agentic Retrieval-Augmented Generation Framework

Test-Time Scaling via Error Localization

Thinkink: 2D Spatial Ink-native Interaction with LLMs