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Metaphors are a Source of Cross-Domain Misalignment of Large Reasoning Models

arXiv:2601.03388v3 Announce Type: replace-cross Abstract: Earlier research has shown that metaphors influence human decision-making, raising the question of whether metaphors also influence large lang

safetyarxiv-cs-ai

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Methane-Plume Segmentation From Hyperspectral Satellite Imagery Via Multimodal Deep Learning

DGX agent

arXiv:2606.26416v1 Announce Type: new Abstract: Efficient detection of methane plumes is crucial for understanding and mitigating global warming, as accurately identifying and segmenting them in earth

applicationsarxiv-cs-cv

26 Jun 2026

MinGram: A Minimalist Unigram Tokenizer with High Compression and Competitive Morphological Alignment

arXiv:2606.27019v1 Announce Type: new Abstract: The Unigram tokenizer uses an elegant representation which makes it straightforward to edit vocabularies, but its training is comparatively heavy and co

safetyarxiv-cs-cl

MIRROR: Novelty-Constrained Memory-Guided MCTS Red-Teaming for Agentic RAG

arXiv:2606.26793v1 Announce Type: cross Abstract: Multimodal agentic retrieval-augmented generation (RAG) systems expand the attack surface beyond prompt injection to include text poisoning, image inj

Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models

arXiv:2505.12343v2 Announce Type: replace-cross Abstract: Despite the impressive capabilities of Large Vision-Language Models (LVLMs), they remain susceptible to hallucinations, where generated conten

researcharxiv-cs-ai

MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation

arXiv:2606.26458v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) over knowledge graphs has emerged as a promising approach for grounding large language models, yet existing benchma

MLFFM-SegDiff: A Multi-Level Feature Fusion Diffusion Model for Skin Lesion Segmentation

arXiv:2606.26712v1 Announce Type: cross Abstract: Skin lesion segmentation is a key task in computer-aided dermatological diagnosis, where accuracy directly impacts downstream analysis and disease cla

Modeling Local, Global, and Cross-Modal Context in Multimodal 3D MRI

arXiv:2606.26894v1 Announce Type: new Abstract: Brain MRI poses a fundamental challenge for machine learning: models must learn from high-dimensional 3D data spanning multiple co-registered modalities

tutorialsarxiv-cs-cv

Monte Carlo Tree Search with Tensor Factorization for Optimization Problems in Robotics

arXiv:2507.04949v3 Announce Type: replace Abstract: Many robotic tasks, such as inverse kinematics, motion planning, and contact-rich manipulation, can be formulated as optimization problems. Solving

researcharxiv-cs-ro

Morphology-Specific Closed-Loop Control of Logarithmic-Spiral Continuum Arms via Online Jacobian Error Compensation

arXiv:2606.26188v1 Announce Type: new Abstract: Logarithmic spirals are ubiquitous in biological appendages and provide an attractive morphology for continuum manipulators capable of reaching, wrappin

researcharxiv-cs-ro

Most companies are not even thinking about giving every employee a fine-tuned self-hosted version of GLM that they need to update and keep h…

applicationsethan-mollick--x

Most companies are not even thinking about giving every employee a fine-tuned self-hosted version of GLM that they need to update and keep harnessed and build connectors for. There are lots of places

Most SOC2 audits take weeks of manual time. Read how @s16h_ and the @MetaviewAI team finished it in two days with Devin:

A case study demonstrating how Devin, an AI coding assistant, significantly reduced SOC2 audit preparation time from weeks of manual work to two days for the Metaview AI team. The example illustrates

agentscognition-ai--x

MPC-Injection: Biasing Off-Policy Locomotion RL Toward Controller-Induced Behavior Basins

arXiv:2606.26392v1 Announce Type: new Abstract: Reinforcement learning (RL) for locomotion frequently converges to locally optimal but undeployable behaviors, such as vibrating limbs or scooting on th

local-aiarxiv-cs-ro

Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction

arXiv:2606.26812v1 Announce Type: new Abstract: Multi-modality image fusion (MMIF) enhances scene representation by exploiting complementary cues from different modalities. Adverse weather, however, c

applicationsarxiv-cs-cv

Multilingual Reasoning Cascades Need More Context

arXiv:2606.27306v1 Announce Type: new Abstract: Translation cascades for reasoning translate the query from another language to English, reason in English, and translate the answer back to the origina

researcharxiv-cs-cl

Multipath Adaptive Gated Bottleneck Latent ODE with Raman Data Fusion for Cell Culture Process Forecasting

arXiv:2606.26520v1 Announce Type: cross Abstract: Mammalian cell-culture processes underpin the manufacture of many biopharmaceuticals, yet keeping a run on track is hard: critical process parameters

local-aiarxiv-cs-ai

Multiscale Exit-Join Dynamics: Tactical Consensus and Strategic Coalition Formation

arXiv:2606.26139v1 Announce Type: cross Abstract: This paper develops a multiscale model of coalition formation in which strategic exit-and-join decisions are coupled with tactical consensus dynamics

My friend the brilliant @kevin_volpp dropped dead He survived (read abt it: https://tinyurl.com/ypcpdzpz) But every year 300-400,000 in the …

My friend the brilliant @kevin_volpp dropped dead He survived (read abt it: https://tinyurl.com/ypcpdzpz) But every year 300-400,000 in the US don't This week: our @nature article (+A.Schubert J.Ross

researchyann-lecun--x

> mythos is so good at cyber it can't be released also > mythos can't detect 20k fraudulent chinese accounts attacking it

model-releasesclem-delangue--x

This post discusses apparent contradictions in claims about Mythos' cybersecurity capabilities, suggesting tension between assertions that it excels at cyber defense versus reports that it failed to d

Narration-of-Thought: Inference-Time Scaffolding for Defeasible Ethical Reasoning in Large Language Models

arXiv:2606.26366v1 Announce Type: new Abstract: Standard chain-of-thought on moral dilemmas exhibits two failure modes: stakeholder collapse (the trace names at most one party with a stake in the outc

NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing

arXiv:2603.19864v2 Announce Type: replace Abstract: Penetration testing, the practice of simulating cyberattacks to identify vulnerabilities, is a complex sequential decision-making task that is inher

safetyarxiv-cs-lg

NaviCache: Test-Time Self-Calibration Caching for Video Generation

arXiv:2606.26795v1 Announce Type: cross Abstract: Video Diffusion Models (VDMs) is constrained by immense computational costs. While offline calibration-based acceleration suffers from calibration dat

safetyarxiv-cs-ai

NavIsaacLab: Generating Realistic Crowd via Parallel Robot Learning for Benchmarking Human-aware Navigation

model-releasesarxiv-cs-ro

arXiv:2606.26265v1 Announce Type: new Abstract: Robot autonomous navigation that accounts for surrounding human activities is crucial for ensuring both safety and natural human-robot interaction in re

NebulaExp-8B: An Empirical Post-Training Pipeline via Full-Scale Ablation Research

arXiv:2606.26671v1 Announce Type: new Abstract: Post-training alignment determines the reasoning and human preference following capabilities of large language models, yet most existing works withhold

Necessary but Not Sufficient: Temperature Control and Reproducibility in LLM-as-Judge Safety Evaluations

model-releasesarxiv-cs-lg

arXiv:2606.26185v1 Announce Type: new Abstract: LLM-as-judge ('grader') components are now standard in evaluation harnesses, including safety evaluations where a pass/fail verdict may gate downstream

Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context

model-releasesarxiv-cs-cl

arXiv:2606.26493v1 Announce Type: new Abstract: Diffusion language models offer a promising alternative to autoregressive models due to their potential for parallel and iterative generation. However,

NervePool: A Simplicial Pooling Layer

arXiv:2305.06315v3 Announce Type: replace-cross Abstract: For deep learning problems on graph-structured data, pooling layers are important for down sampling, reducing computational cost, and to minim

researcharxiv-cs-lg

Netflix now requires every user profile to be tied to unique email address

Netflix is rolling out a change requiring each sub-profile within a subscriber's account to have its own email address attached , with the update slowly rolling out to select users rather than being d

industryars-technica

NeuraDock Visual Cognitive Load Agent Tutorial: A Quality-Gated Open-Source EEG Workflow for Alpha Dynamics and Real-Time Applications

arXiv:2606.26518v1 Announce Type: new Abstract: This tutorial paper provides a step-by-step, reproducible walkthrough of NeuraDock Agent, an open-source EEG agent focused on Alpha dynamics and visual

Neural Architecture Search for Generative Adversarial Networks: A Comprehensive Review and Critical Analysis

arXiv:2606.26169v1 Announce Type: cross Abstract: Neural Architecture Search (NAS) has emerged as a pivotal technique in optimizing the design of Generative Adversarial Networks (GANs), automating the

tutorialsarxiv-cs-ai

Neural Speaker Diarization via Multilingual Training: Evaluation on Low-Resource Nepali-Hindi Speech

arXiv:2606.26144v1 Announce Type: cross Abstract: Speaker diarization, the task of determining 'who spoke when' in a multi-speaker recording, is a critical component in applications such as meeting tr

safetyarxiv-cs-cl

Neural Texture Compression using Hypernetworks

arXiv:2606.26913v1 Announce Type: cross Abstract: Recent work on neural texture compression has demonstrated that it is possible to learn small, per-material texture representations (composed of laten

tutorialsarxiv-cs-cv

Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection

arXiv:2606.26410v1 Announce Type: new Abstract: We present a self-supervised framework for learning implicit 3D physical dynamics directly from video-derived supervisory signals. While current generat

tutorialsarxiv-cs-cv

new: Anthropic’s critics say the company is becoming dangerously powerful. I spoke with former staffers about how technological dominance, a…

new: Anthropic’s critics say the company is becoming dangerously powerful. I spoke with former staffers about how technological dominance, a $1 trillion business, and political influence fit into the

industryclem-delangue--x

New paper on giving LLM agents experience that improves the weights and stays readable at the same time. Agent-experience methods split into…

New paper on giving LLM agents experience that improves the weights and stays readable at the same time. Agent-experience methods split into two camps. Externalized natural-language rules stay interpr

model-releasesdair-ai--x

No Free Lunch: Non-Asymptotic Analysis of Prediction-Powered Inference

arXiv:2505.20178v2 Announce Type: replace-cross Abstract: Prediction-Powered Inference (PPI) is a popular strategy for combining gold-standard and possibly noisy pseudo-labels to perform statistical e

applicationsarxiv-cs-lg

Normalizing Flows are Capable Models for Continuous Control

arXiv:2505.23527v4 Announce Type: replace Abstract: Modern reinforcement learning (RL) algorithms have found success by using powerful probabilistic models, such as transformers, energy-based models,

safetyarxiv-cs-lg

Not All Actions Are Equal: Rethinking Conditioning for Dexterous World Model

arXiv:2606.27325v1 Announce Type: new Abstract: Recent advances in action-conditioned world models show promising progress in modeling complex interactions and forecasting future states under diverse

local-aiarxiv-cs-cv

not quite all-you-can-eat tokens, but we are working on it

Sam Altman suggests OpenAI is working toward offering more generous or unlimited token allowances for users, moving beyond current rate-limited pricing models. The post indicates this is an ongoing de

industrysam-altman--x

Tools

Not sure if that's a change in default preferences from the models or just that I'm often prompting inside existing projects and the models …

Not sure if that's a change in default preferences from the models or just that I'm often prompting inside existing projects and the models know full well not to introduce React to a project that isn'

toolssimon-willison--x

not trying to glaze but the hermes agent experience is so much better now it is running so much of our triage stuff now at ***** ai labs now…

not trying to glaze but the hermes agent experience is so much better now it is running so much of our triage stuff now at ***** ai labs now, still have to correct/customize stuff every now and then b

agentsnous-research--x

@NousResearch We are working on benching various combos of open source models to see if we can get Opus levels with much cheaper models as w…

Nous Research is conducting benchmarking tests to evaluate whether combinations of open-source models can achieve performance comparable to Anthropic's Claude Opus while maintaining significantly lowe

researchnous-research--x

now seems like a good day to remind people we have an apache 2.0 coding model you can run with 20 gigs of ram locally for free forever. http…

now seems like a good day to remind people we have an apache 2.0 coding model you can run with 20 gigs of ram locally for free forever. https://huggingface.co/CohereLabs/North-Mini-Code-1.0-w4a16 Its

local-aicohere--x

NuclearQAv2: A Structured Benchmark for Evaluating Domain-Science Competence in Large Language Models

arXiv:2606.27047v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated strong performance across a wide range of tasks, but ensuring their reliability in highly technical dom

NYT slams Microsoft for building copyright-infringing supercomputer for OpenAI

The New York Times has amended its copyright infringement lawsuit to specifically target Microsoft for providing OpenAI with a supercomputer platform designed to train models on copyrighted works with

industryars-technica

Hardware

OctoSense: Self-Supervised Learning for Multimodal Robot Perception

arXiv:2606.27317v1 Announce Type: new Abstract: We present OctoSense, an open-source sensor platform with stereo RGB and event cameras, LiDAR, a thermal camera, an inertial measurement unit, RTK-corre

hardwarearxiv-cs-cv

oh and also...750 token/sec coming to 5.6 sol in july!

Sam Altman announced that OpenAI's inference speed will reach 750 tokens per second on GPUs with 5.6 TFLOPS in July. This represents a significant increase in throughput capability for OpenAI's models

industrysam-altman--x

OI-Bench: An Option Injection Benchmark for Evaluating LLM Susceptibility to Directive Interference

model-releasesarxiv-cs-cl

arXiv:2601.13300v2 Announce Type: replace Abstract: Benchmarking large language models (LLMs) is critical for understanding their capabilities, limitations, and robustness. In addition to interface ar