All entries

arXiv:2603.13748v3 Announce Type: replace Abstract: Real-world robots often operate in settings where objective priorities depend on the underlying context of operation. When the underlying context is

tutorialsarxiv-cs-ro

Tools

Multi-token Residual Prediction

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Multi-token Residual Prediction is a technique for improving language model inference efficiency by predicting multiple tokens simultaneously rather than one at a time, reducing latency and computatio

toolsmodal-blog

1 Jul 2026

Multilingual Polarization Detection Using Transformer-Based Models with Class Weighting and Threshold Tuning

arXiv:2606.30857v1 Announce Type: new Abstract: This paper describes our submission to SemEval-2026 Task 9 on detecting multilingual, multicultural, and multievent online polarization. We address all

researcharxiv-cs-cl

Multimodal Benchmark for Safety Assessment in Industrial Inspection Scenarios

arXiv:2601.21173v2 Announce Type: replace-cross Abstract: With the rapid development of industrial intelligence and unmanned inspection, reliable perception and safety assessment for AI systems in com

Multiple Testing of Linear Forms for Noisy Matrix Completion

arXiv:2312.00305v3 Announce Type: replace-cross Abstract: Many important tasks of large-scale recommender systems can be naturally cast as testing multiple linear forms for noisy matrix completion. Th

safetyarxiv-cs-lg

Multipole Semantic Attention: A Fast Approximation of Softmax Attention for Pretraining

model-releasesarxiv-cs-lg

arXiv:2509.10406v4 Announce Type: replace Abstract: Pretraining transformers on long sequences (entire code repositories, collections of related documents) is bottlenecked by quadratic attention costs

Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force

arXiv:2606.30988v1 Announce Type: new Abstract: Robot manipulation often relies on sensory feedback beyond vision, particularly in contact-rich settings where force, tactile, or audio signals reveal i

safetyarxiv-cs-ro

Multistage Defer Trees for Hybrid Interpretability: If at First You Can't Succeed, Tree Again

arXiv:2606.30995v1 Announce Type: new Abstract: Recent work has shown that well-optimized individual decision trees can match complex black box models in some settings, primarily in noisy domains. For

researcharxiv-cs-lg

MultiUAV-Plat: An LLM-Oriented Platform, Benchmark and Framework for Multi-UAV Collaborative Task Planning

arXiv:2606.31073v1 Announce Type: new Abstract: Large language models (LLMs) provide a promising interface for high-level robotic task planning, but their use in multi-UAV collaboration remains diffic

Applications

MuSViT: A Foundation Vision Model for Sheet Music Representation

arXiv:2606.31811v1 Announce Type: new Abstract: Foundation models have transformed vision and language processing by providing rich, reusable representations that transfer across diverse tasks. Sheet

applicationsarxiv-cs-cv

MV-GEL: Language-Driven Multi-View Geometric Entity Localization on Meshes

arXiv:2606.31533v1 Announce Type: new Abstract: Identifying and grounding precise geometric entities, such as edges, planar regions, and curved surfaces within 3D objects, is foundational to computer-

Tutorials

MVP-Nav: Multi-layer Value Map Planner Navigator

arXiv:2606.31919v1 Announce Type: cross Abstract: Zero-shot Object Goal Navigation (ZSON) with RGB-only perception poses a fundamental challenge for embodied agents, as the absence of explicit depth i

tutorialsarxiv-cs-ai

My prediction: the excitement for Fable 5 will wear off really fast. Reposting this to help those who will be extremely disappointed after t…

My prediction: the excitement for Fable 5 will wear off really fast. Reposting this to help those who will be extremely disappointed after they play with Fable 5 and run out of tokens or can't do much

model-releasesdair-ai--x

Local Ai

Nano Banana 2 Lite: Image Edit https://links.comfy.org/4eSb7GB

Nano Banana 2 Lite is an image editing tool or model available through ComfyUI, a node-based interface for AI image generation and manipulation. This resource likely provides a lightweight version of

local-aicomfyui--x

Local Ai

Nano Banana 2 Lite is now in Comfy. The fastest, cheapest model in the Nano Banana family. → 4-second image gen → $0.034 per 1K images If yo…

Nano Banana 2 Lite is now in Comfy. The fastest, cheapest model in the Nano Banana family. → 4-second image gen → $0.034 per 1K images If your pipeline runs on iteration volume, this changes the game.

local-aicomfyui--x

Local Ai

Nano Banana 2 Lite: Text To Image https://links.comfy.org/3RdZ92j

Nano Banana 2 Lite is a text-to-image model optimized for efficiency and speed, likely designed for use within the ComfyUI node-based interface. This lightweight version of the model enables users to

local-aicomfyui--x

NASA chief praises progress Blue Origin is making after launch failure

NASA Administrator Jared Isaacman acknowledged the May 28, 2026 New Glenn rocket explosion at Cape Canaveral, noting that spaceflight development is extraordinarily difficult and pledging NASA's suppo

industryars-technica

NASA inspector general suggests Boeing's Starliner will now be a decade late

A NASA Office of Inspector General audit released June 30 found that Boeing's Starliner capsule will not achieve human-rating certification until 2027 at the earliest , representing a significant dela

industryars-technica

Agents

Nazrin: An Atomic Neural Proof Automation Tactic in Lean 4

arXiv:2602.18767v3 Announce Type: replace-cross Abstract: In Machine-Assisted Theorem Proving, a theorem proving agent searches for a sequence of expressions and tactics that can prove a statement in

agentsarxiv-cs-lg

Nemotron 3 Ultra is taking off on Together AI 🚀 In just days, it's climbed to 35B tokens/day on @OpenRouter. That's the community voting wi…

model-releasestogether-ai--x

Nemotron 3 Ultra is taking off on Together AI 🚀 In just days, it's climbed to 35B tokens/day on @OpenRouter. That's the community voting with their tokens for open models that are fast, efficient, and

Neuro-Bayesian-Symbolic Residual Attention Shallow Network: Explainable Deep Learning for Cybersecurity Risk Assessment

arXiv:2606.30953v1 Announce Type: new Abstract: We introduce the Neuro-Bayesian-Symbolic Residual Attention Shallow Network (NBS-RASN), a hybrid neural architecture for explainable cybersecurity risk

researcharxiv-cs-ai

Neurologyca launches research labs to help frontier AI models understand people

model-releasessiliconangle

Neurologyca, a company working on human-centric artificial intelligence, announced the launch of a research division on Tuesday dedicated to advancing AI models’ ability to understand and adapt to peo

Tutorials

New IDC study: The business value of Mandiant Consulting

Security leaders are now expected to protect business growth and clearly articulate security value to their board of directors, in addition to managing risk. While translating technical defense into m

tutorialsgoogle-cloud-ai

Agents

NEW paper worth reading. (bookmark it) Autonomous research systems usually prove themselves on cherry-picked wins, human-framed topics, or a…

NEW paper worth reading. (bookmark it) Autonomous research systems usually prove themselves on cherry-picked wins, human-framed topics, or a handful of preset tasks. FARS runs the full loop at scale i

agentsdair-ai--x

No Adaptation Without Observation: Observability-Constrained Test-Time Prompt Tuning for LiDAR Semantic Segmentation

arXiv:2606.30937v1 Announce Type: new Abstract: LiDAR semantic segmentation often degrades under real-world deployment due to evolving sensing conditions, while collecting new annotations for retraini

safetyarxiv-cs-cv

No country wins a race to superintelligence. An AI vastly smarter than us wouldn't be a weapon we control, we'd be handing control over to i…

No country wins a race to superintelligence. An AI vastly smarter than us wouldn't be a weapon we control, we'd be handing control over to it. ControlAI's US Director Connor Leahy (@NPCollapse) on why

safetyconnor-leahy--x

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs

arXiv:2606.31933v1 Announce Type: new Abstract: We introduce VidPair-Halluc, a new benchmark for evaluating video hallucination in large video models (LVMs) under rigorous and controlled conditions. U

No Prompt, No Leaks: A Robust Generative Steganography Framework via Prompt-Free Diffusion

arXiv:2606.31427v1 Announce Type: new Abstract: Generative image steganography synthesizes stego images directly from secret information to achieve inherent security advantages. Latent Diffusion Model

Nonlinearity-Aware LoRA: Structured Gate Adaptation under Low-Rank Constraints

model-releasesarxiv-cs-lg

arXiv:2606.31717v1 Announce Type: new Abstract: Low-rank adaptation (LoRA) is commonly viewed as an update-space approximation to full fine-tuning, yet this view is incomplete for self-gated Transform

Not Every Time and Frequency Need to Be Forgotten in Diffusion Unlearning

arXiv:2510.17917v2 Announce Type: replace-cross Abstract: Data unlearning aims to remove the influence of specific training samples from a trained model. In fine-tuning methods, data unlearning relies

researcharxiv-cs-ai

Tools

Now that Fable 5 is ready to build (again), we've reset everyone's 5-hour and weekly rate limits.

Playground Fable 5 has completed development and is ready for building, prompting the reset of user rate limits to allow 5-hour and weekly usage quotas to refresh. This announcement indicates that the

toolsboris-cherny--x

Now The Fountainhead – arguably the better book: 1. There are two ways to exist: create from your own vision, or live by reflecting and plea…

Now The Fountainhead – arguably the better book: 1. There are two ways to exist: create from your own vision, or live by reflecting and pleasing others – Rand calls them the first-handers and the seco

industryelon-musk--x

NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphics

arXiv:2606.31764v1 Announce Type: cross Abstract: Differentiable rendering of planar rational splines remains largely underexplored, despite their widespread use in vector graphics and design. Existin

Hardware

NVIDIA and Partners Build in America, for America

NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthroug

hardwarenvidia-blog

Off the Rails: Hijacking the Scoring Head in Generative End-to-End Driving Planners with Safety-Violating Adversarial Perturbations

arXiv:2606.30807v1 Announce Type: cross Abstract: Generative models have recently seen rapid adoption in End-to-End (E2E) autonomous driving (AD), with diffusion-based denoising and vocabulary-based r

safetyarxiv-cs-cv

Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction

arXiv:2606.31025v1 Announce Type: new Abstract: Active flow control is a fundamental application in engineering. Recent advances in deep reinforcement learning have made progress in this field. Howeve

safetyarxiv-cs-lg

Applications

On Optimal Data Splitting for Split Conformal Prediction

arXiv:2606.31600v1 Announce Type: cross Abstract: Conformal prediction and its variants, including the split conformal prediction, provide a distribution-free framework for uncertainty quantification

applicationsarxiv-cs-lg

On Optimizing Multimodal Jailbreaks for Spoken Language Models

arXiv:2603.19127v2 Announce Type: replace Abstract: As Spoken Language Models (SLMs) integrate speech and text modalities, they inherit the safety vulnerabilities of their LLM backbone while introduci

safetyarxiv-cs-lg

On the Convergence of Self-Improving Online LLM Alignment

arXiv:2606.31524v1 Announce Type: cross Abstract: The Self-Improving Alignment (SAIL) algorithm addresses distribution shift by reducing a bilevel formulation of the problem to an efficient, single-le

On the pod: 'Constrained Adaptive Rejection Sampling' with @ucsd_cse professor @lorisdanto. Hear how symbolic AI experts have navigated the …

researchfrancois-chollet--x

On the pod: 'Constrained Adaptive Rejection Sampling' with @ucsd_cse professor @lorisdanto. Hear how symbolic AI experts have navigated the LLM era and why the future of AI code generation depends on

On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting

arXiv:2601.13913v2 Announce Type: replace Abstract: Estimating 3D from 2D is one of the central tasks in computer vision. In this work, we consider the monocular setting, i.e. single-view input, for 3

One of the reasons we brought @xAIMemphis to Mississippi wasn’t just its record-breaking $20 billion investment. It was also because the com…

One of the reasons we brought @xAIMemphis to Mississippi wasn’t just its record-breaking $20 billion investment. It was also because the company is a great corporate partner that’s committed to giving

industryelon-musk--x

One Reflection Is Not Enough: Self-Correcting Autonomous Research via Multi-Hypothesis Failure Attribution

arXiv:2606.31478v1 Announce Type: new Abstract: Autonomous research agents can now draft hypotheses, write code, run experiments, and produce papers, but they remain brittle when experiments fail. Und

Applications

One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG

arXiv:2606.31156v1 Announce Type: cross Abstract: RAG systems retrieve documents optimized for answering one query at a time. Yet enterprise users arrive with sessions, that is, coherent episodes of r

applicationsarxiv-cs-ai

One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression

arXiv:2508.13836v2 Announce Type: replace-cross Abstract: Pruning is a core technique for compressing neural networks to improve computational efficiency. This process is typically approached in two w

One Video, One World: Turning Monocular Video into Physical 4D Scenes

arXiv:2606.31388v1 Announce Type: new Abstract: We introduce extbf{OVOW}, the first training-free system that reconstructs instance-level, simulation-ready 4D mesh scenes from a single monocular video

Online Generation of Collision-Free Trajectories in Dynamic Environments

arXiv:2603.00759v2 Announce Type: replace Abstract: In this paper, we present an online method for converting an arbitrary geometric path, represented by a sequence of states, and generated by any pla

safetyarxiv-cs-ro

Online TT-ALS for Streaming Tensor Decomposition with Incremental Orthogonalization

arXiv:2606.31061v1 Announce Type: cross Abstract: Tensor Train (TT) decomposition is a powerful technique for analyzing high-dimensional data. Existing algorithms for computing TT decompositions can b