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Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive

model-releasesarxiv-cs-ro

arXiv:2605.00066v1 Announce Type: new Abstract: Open-loop evaluation offers fast, reproducible assessment of autonomous driving planners, but its ability to predict real closed-loop driving performanc

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Model Releases

Documentation https://docs.ollama.com/integrations/claude-desktop

DGX agent

This documentation page describes how to integrate Ollama with Claude Desktop, enabling users to run local language models through the Anthropic Claude interface. The integration allows Claude Desktop

model-releasesollama--x

4 May 2026

Agents

Don't let Anthropic own your stack. @jerryjliu0 on why modular architecture is the only real hedge in the agent era. https://www.youtube.com…

Jerry Liu advocates for modular architecture as a strategy to avoid vendor lock-in with AI providers like Anthropic during the emergence of AI agents. He argues that building flexible, interchangeable

agentsjerry-liu--x

Dostoevsky captures the essence of the modern, downwardly mobile progressive activist, 150 years early. A conviction of higher destiny, no p…

Dostoevsky captures the essence of the modern, downwardly mobile progressive activist, 150 years early. A conviction of higher destiny, no path to reach it, and a misery that converts into hatred of t

industryelon-musk--x

Tutorials

Doubly robust identification of treatment effects from multiple environments

arXiv:2503.14459v2 Announce Type: replace-cross Abstract: Practical and ethical constraints often require the use of observational data for causal inference, particularly in medicine and social scienc

tutorialsarxiv-cs-lg

Hardware

Down payment on a EUV machine!

Dylan Patel likely announced or commented on a significant financial commitment or investment milestone related to an EUV (Extreme Ultraviolet) lithography machine, which are critical semiconductor ma

hardwaredylan-patel--x

Hardware

DPU or GPU for Accelerating Neural Networks Inference -- Why not both? Split CNN Inference

arXiv:2605.00174v1 Announce Type: cross Abstract: Video and image streaming on edge devices requires low latency. To address this, Neural Networks (NNs) are widely used, and prior work mainly focuses

hardwarearxiv-cs-cv

Driving with A Thousand Faces: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving

arXiv:2602.18757v2 Announce Type: replace Abstract: Human driving behavior is inherently diverse, yet most end-to-end autonomous driving (E2E-AD) systems learn a single average driving style, neglecti

@dromanocpm @GaryMarcus Two stood up. I know that one told the truth. Gary Marcus and Sam Altman, Senate Hearing on Oversight for Artificial…

Gary Marcus and Sam Altman testified before the Senate regarding AI oversight, with Marcus noting that two individuals stood up during the hearing and asserting that one of them told the truth. This r

safetygary-marcus--x

Duolingo reports Q1 revenue up 27% YoY to 292M, vs. 288.5M est., bookings up 14% to $308.5M, and expects slower growth in Q2; DUOL drops 12%+ after hours (Akash Sriram/Reuters)

Akash Sriram / Reuters: Duolingo reports Q1 revenue up 27% YoY to 292M, vs. 288.5M est., bookings up 14% to $308.5M, and expects slower growth in Q2; DUOL drops 12%+ after hours — Duolingo (DUOL.O) po

industrytechmeme

Dynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction

arXiv:2605.00059v1 Announce Type: new Abstract: Deep reinforcement learning (DRL) finds extensive application in autonomous drone navigation within complex, high-risk environments. However, its practi

safetyarxiv-cs-ro

Dynamics-Encoded Deep Learning for Robust System Identification and Parameter Estimation

model-releasesarxiv-cs-lg

arXiv:2410.04299v2 Announce Type: replace Abstract: Incorporating a priori physics knowledge into machine learning leads to more robust and interpretable algorithms. In this work, we combine deep lear

E^2DT: Efficient and Effective Decision Transformer with Experience-Aware Sampling for Robotic Manipulation

arXiv:2605.00159v1 Announce Type: new Abstract: In reinforcement learning (RL) for robotic manipulation, the Decision Transformer (DT) has emerged as an effective framework for addressing long-horizon

local-aiarxiv-cs-ro

EASE: Federated Multimodal Unlearning via Entanglement-Aware Anchor Closure

arXiv:2605.00733v1 Announce Type: cross Abstract: Federated Multimodal Learning (FML) trains multimodal models across decentralized clients while keeping their image-text pairs private. However, joint

Efficient Finite Initialization with Partial Norms for Tensorized Neural Networks and Tensor Networks Algorithms

arXiv:2309.06577v5 Announce Type: replace Abstract: We present two algorithms to initialize layers of tensorized neural networks and general tensor network algorithms using partial computations of the

Tutorials

Efficient Mutation Testing of Quantum Machine Learning Models

arXiv:2605.00107v1 Announce Type: cross Abstract: Quantum machine learning integrates the strengths of quantum computing and machine learning, enabling models to learn complex features using fewer par

tutorialsarxiv-cs-lg

Efficient Spatio-Temporal Vegetation Pixel Classification with Vision Transformers

arXiv:2605.00296v1 Announce Type: new Abstract: Plant phenology-the study of recurrent life cycle events-is essential for understanding ecosystem dynamics and their responses to climate change impacts

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement

arXiv:2605.00628v1 Announce Type: cross Abstract: Text-to-SQL enables non-expert users to query databases in natural language, yet real-world schemas often suffer from ambiguous, abbreviated, or incon

local-aiarxiv-cs-cl

Elimination Templates in Macaulay2

arXiv:2605.00278v1 Announce Type: cross Abstract: We introduce the package exttt{EliminationTemplates} for the Macaulay2 computer algebra system, which provides tools for constructing automatic solver

researcharxiv-cs-cv

Elon Musk agrees to pay $1.5M to settle SEC allegations that he cheated Twitter shareholders in 2022 by failing to disclose the 5%+ stake he had in the company (Nicola M White/Bloomberg)

Nicola M White / Bloomberg: Elon Musk agrees to pay $1.5M to settle SEC allegations that he cheated Twitter shareholders in 2022 by failing to disclose the 5%+ stake he had in the company — Elon Musk

industrytechmeme

Elon Musk is playing a long game most people don’t think about. The idea lines up with the Kardashev scale. Not just improving life on Earth…

Elon Musk is playing a long game most people don’t think about. The idea lines up with the Kardashev scale. Not just improving life on Earth, but increasing how much energy humanity can use and contro

industryelon-musk--x

Elon Musk sees a path where the cost to orbit drops below commercial air freight Ultimately Starship will be able to fly across the globe ch…

Elon Musk sees a path where the cost to orbit drops below commercial air freight Ultimately Starship will be able to fly across the globe cheaper per ton than a Boeing 747 That opens up a massive rang

industryelon-musk--x

Embodied Interpretability: Linking Causal Understanding to Generalization in Vision-Language-Action Models

arXiv:2605.00321v1 Announce Type: new Abstract: Vision-Language-Action (VLA) policies often fail under distribution shift, suggesting that decisions may depend on spurious visual correlations rather t

researcharxiv-cs-ro

End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer

arXiv:2605.00503v1 Announce Type: new Abstract: Autoregressive image modeling relies on visual tokenizers to compress images into compact latent representations. We design an end-to-end training pipel

researcharxiv-cs-cv

Escaping Mode Collapse in LLM Generation via Geometric Regulation

arXiv:2605.00435v1 Announce Type: new Abstract: Mode collapse is a persistent challenge in generative modeling and appears in autoregressive text generation as behaviors ranging from explicit looping

researcharxiv-cs-cl

Estimating LLM Grading Ability and Response Difficulty in Automatic Short Answer Grading via Item Response Theory

arXiv:2605.00238v1 Announce Type: new Abstract: Automated short answer grading (ASAG) with large language models (LLMs) is commonly evaluated with aggregate metrics such as macro-F1 and Cohen's kappa.

safetyarxiv-cs-cl

Applications

Evaluating Legal Reasoning Traces with Legal Issue Tree Rubrics

arXiv:2512.01020v2 Announce Type: replace-cross Abstract: Evaluating the quality of LLM-generated reasoning traces in expert domains (e.g., law) is essential for ensuring credibility and explainabilit

applicationsarxiv-cs-cl

Evaluating the Architectural Reasoning Capabilities of LLM Provers via the Obfuscated Natural Number Game

model-releasesarxiv-cs-lg

arXiv:2605.00677v1 Announce Type: new Abstract: While Large Language Models have achieved notable success on formal mathematics benchmarks such as MiniF2F, it remains unclear whether these results ste

Even our toughest critics come around eventually

Nous Research likely discusses how their AI models or research have gained acceptance even among skeptical observers, suggesting that rigorous development and demonstrated capabilities eventually conv

researchnous-research--x

Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark

arXiv:2504.05679v2 Announce Type: replace Abstract: Small unmanned aerial vehicle (UAV)-based visual inspections are a more efficient alternative to manual methods for examining civil structural defec

Ex-iRobot CEO Colin Angle launches Familiar Machines & Magic and unveils Familiar, a dog-like, 'emotionally intelligent' robot that reacts to owner's feelings (Christopher Mims/Wall Street Journal)

Christopher Mims / Wall Street Journal: Ex-iRobot CEO Colin Angle launches Familiar Machines & Magic and unveils Familiar, a dog-like, “emotionally intelligent” robot that reacts to owner's feelings —

model-releasestechmeme

Applications

Excited to partner with @pinecone!

Excited to partner with @pinecone! Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, par

applicationspinecone--x

💜 🎓 Excited to welcome @ylecun as our 2026 Tandon Commencement speaker! #NYUTandonMade

Yann LeCun has been announced as the 2026 commencement speaker for NYU Tandon School of Engineering. LeCun, a prominent computer scientist and AI researcher, will deliver the keynote address at the gr

researchyann-lecun--x

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation

model-releasesarxiv-cs-cl

arXiv:2507.14201v3 Announce Type: replace-cross Abstract: We present ExCyTIn-Bench, the first benchmark to Evaluate an LLM agent X on the task of Cyber Threat Investigation through security questions

Exploring LLM biases to manipulate AI search overview

arXiv:2605.00012v1 Announce Type: cross Abstract: Modern large language models (LLMs) are used in many business applications in general, and specifically in web search systems and applications that ge

safetyarxiv-cs-cl

Exploring the Limits of End-to-End Feature-Affinity Propagation for Single-Point Supervised Infrared Small Target Detection

arXiv:2605.00722v1 Announce Type: new Abstract: Single-point supervised infrared small target detection (IRSTD) drastically reduces dense annotation costs. Current state-of-the-art (SOTA) methods achi

researcharxiv-cs-cv

Exploring the System 1 Thinking Capability of Large Reasoning Models

model-releasesarxiv-cs-cl

arXiv:2504.10368v4 Announce Type: replace Abstract: This paper explores the system 1 thinking capability of Large Reasoning Models (LRMs), the intuitive ability to respond efficiently with minimal tok

Tools

Extensive details in the new PR https://github.com/redis/redis/pull/15162

A Redis pull request (#15162) that introduces significant new features or improvements, with comprehensive documentation of the changes available in the GitHub PR discussion.

toolssimon-willison--x

F1 in Miami: That's what it looks like when an upgrade works

Kimi Antonelli won the 2026 Miami Grand Prix, extending his championship lead after surviving a close chase from McLaren's Lando Norris. Ferrari, McLaren and Red Bull brought major upgrade packages to

industryars-technica

Fair Dataset Distillation via Cross-Group Barycenter Alignment

arXiv:2605.00185v1 Announce Type: new Abstract: Dataset Distillation aims to compress a large dataset into a small synthetic one while maintaining predictive performance. We show that as different dem

safetyarxiv-cs-lg

Fairness of Classifiers in the Presence of Constraints between Features

arXiv:2605.00592v1 Announce Type: new Abstract: In Machine Learning, an accepted definition of fairness of a decision taken by a classifier is that it should not depend on protected features, such as

safetyarxiv-cs-lg

Faithful Extreme Image Rescaling with Learnable Reversible Transformation and Semantic Priors

arXiv:2605.00605v1 Announce Type: new Abstract: Most recent extreme rescaling methods struggle to preserve semantically consistent structures and produce realistic details, due to the severely ill-pos

FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources

model-releasesarxiv-cs-lg

arXiv:2605.00011v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way. While substantial resea

Federated Distillation for Whole Slide Image via Gaussian-Mixture Feature Alignment and Curriculum Integration

arXiv:2605.00578v1 Announce Type: new Abstract: Federated learning (FL) offers a promising framework for collaborative digital pathology by enabling model training across institutions. However, real-w

local-aiarxiv-cs-cv

Federated Learning with Hypergradient-based Online Update of Aggregation Weights

arXiv:2605.00458v1 Announce Type: new Abstract: Federated learning using mobile and Internet of Things devices requires not only the ability to handle heterogeneity of clients' data distributions but

Federated Weather Modeling on Sensor Data

arXiv:2605.00322v1 Announce Type: new Abstract: Federated weather modeling on sensor data is a distributed system underpinned by federated learning, enabling multiple sensor data sources, including gr

FedKPer: Tackling Generalization and Personalization in Medical Federated Learning via Knowledge Personalization

arXiv:2605.00698v1 Announce Type: cross Abstract: Federated learning (FL) holds great potential for medical applications. However, statistical heterogeneity across healthcare institutions poses a majo

local-aiarxiv-cs-lg

Feedback Lunch: Learned Feedback Codes for Secure Communications

arXiv:2510.16620v3 Announce Type: replace-cross Abstract: We consider reversely-degraded secure-communication channels, for which the secrecy capacity is zero if there is no channel feedback. Specific