Search: “models”

Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles

applicationsgoogle-research

This Google Research work presents guidelines for synthetic data mechanism design and provides insights into generating and evaluating synthetic data at scale. The research introduces a reasoning-driv

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FCBV-Net: Category-Level Robotic Garment Smoothing via Feature-Conditioned Bimanual Value Prediction

DGX agent

arXiv:2508.05153v2 Announce Type: replace Abstract: Category-level generalization for robotic garment manipulation, such as bimanual smoothing, remains a significant hurdle due to high dimensionality,

safetyarxiv-cs-ro

16 Apr 2026

From P(y|x) to P(y): Investigating Reinforcement Learning in Pre-train Space

arXiv:2604.14142v1 Announce Type: cross Abstract: While reinforcement learning with verifiable rewards (RLVR) significantly enhances LLM reasoning by optimizing the conditional distribution P(y|x), it

safetyarxiv-cs-cl

Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin Updates

arXiv:2604.13130v1 Announce Type: new Abstract: We study learning to learn for regression problems through the lens of hyperparameter tuning. We propose the Langevin Gradient Descent Algorithm (LGD),

tutorialsarxiv-cs-lg

GRITS: A Spillage-Aware Guided Diffusion Policy for Robot Food Scooping Tasks

arXiv:2510.00573v2 Announce Type: replace Abstract: Robotic food scooping is a critical manipulation skill for food preparation and service robots. However, existing robot learning algorithms, especia

safetyarxiv-cs-ro

Heuristic Style Transfer for Real-Time, Efficient Weather Attribute Detection

arXiv:2604.13947v1 Announce Type: new Abstract: We present lightweight and efficient architectures to detect weather conditions from RGB images, predicting the weather type (sunny, rain, snow, fog) an

Is Image 2 being tested in app?l

This Reddit thread from r/ChatGPT discusses community observations about GPT Image 2 being quietly tested inside the ChatGPT app. GPT Image 2 has been spotted in A/B tests inside ChatGPT, with early s

industryr-chatgpt

IWLV-Ramayana: A Sarga-Aligned Parallel Corpus of Valmiki's Ramayana Across Indian Languages

arXiv:2604.13078v1 Announce Type: new Abstract: The Ramayana is among the most influential literary traditions of South and Southeast Asia, transmitted across numerous linguistic and cultural contexts

applicationsarxiv-cs-cl

Kwame 2.0: Human-in-the-Loop Generative AI Teaching Assistant for Large Scale Online Coding Education in Africa

arXiv:2603.29159v2 Announce Type: replace Abstract: Providing timely and accurate learning support in large-scale online coding courses is challenging, particularly in resource-constrained contexts. W

tutorialsarxiv-cs-cl

Learning Probabilistic Responsibility Allocations for Multi-Agent Interactions

arXiv:2604.13128v1 Announce Type: cross Abstract: Human behavior in interactive settings is shaped not only by individual objectives but also by shared constraints with others, such as safety. Underst

Microsoft and Stellantis want to use AI to help car owners

Stellantis and Microsoft announced a five-year strategic collaboration to co-develop more than 100 AI initiatives across sales, customer care and operations . Examples include intelligent recommendati

industryars-technica

Most agentic AI initiatives are stalling, and the reason has nothing to do with the tech stack

Agentic AI orchestration has become the engine of enterprise AI success, but technology alone won’t get it there. The real differentiator is business-led execution that ties AI workflows directly to o

Multi-Agent Object Detection Framework Based on Raspberry Pi YOLO Detector and Slack-Ollama Natural Language Interface

arXiv:2604.13345v1 Announce Type: new Abstract: The paper presents design and prototype implementation of an edge based object detection system within the new paradigm of AI agents orchestration. It g

local-aiarxiv-cs-cv

Multi-modal panoramic 3D outdoor datasets for place categorization

arXiv:2604.13142v1 Announce Type: cross Abstract: We present two multi-modal panoramic 3D outdoor (MPO) datasets for semantic place categorization with six categories: forest, coast, residential area,

MUSE: Multi-Domain Chinese User Simulation via Self-Evolving Profiles and Rubric-Guided Alignment

arXiv:2604.13828v1 Announce Type: new Abstract: User simulators are essential for the scalable training and evaluation of interactive AI systems. However, existing approaches often rely on shallow use

local-aiarxiv-cs-cl

MyoVision: A Mobile Research Tool and NEATBoost-Attention Ensemble Framework for Real Time Chicken Breast Myopathy Detection

arXiv:2604.13456v1 Announce Type: cross Abstract: Woody Breast (WB) and Spaghetti Meat (SM) myopathies significantly impact poultry meat quality, yet current detection methods rely either on subjectiv

On the Fundamental Limitations of Dual Static CVaR Decompositions in Markov Decision Processes

arXiv:2507.14005v2 Announce Type: replace Abstract: It was recently shown that dynamic programming (DP) methods for finding static CVaR-optimal policies in Markov Decision Processes (MDPs) can fail wh

pi-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data

arXiv:2604.14054v1 Announce Type: cross Abstract: Deep search agents have emerged as a promising paradigm for addressing complex information-seeking tasks, but their training remains challenging due t

agentsarxiv-cs-cl

Please, I'm begging you, try to critically examine the differences between these two pieces of writing. ChatGPT editing did not improve this…

tutorialsjeremy-howard--x

Please, I'm begging you, try to critically examine the differences between these two pieces of writing. ChatGPT editing did not improve this. Every single change only served to weaken your claims sign

PostureObjectstitch: Anomaly Image Generation Considering Assembly Relationships in Industrial Scenarios

arXiv:2604.13863v1 Announce Type: new Abstract: Image generation technology can synthesize condition-specific images to supplement real-world industrial anomaly data and enhance anomaly detection mode

applicationsarxiv-cs-cv

Qlik debuts new agentic capabilities, aiming to enhance AI trust and transparency

Data integration and analytics heavyweight QlikTech International AB took the wraps off a number of new agentic artificial intelligence capabilities today as it opened the doors to its annual customer

Randomized Neural Networks for Integro-Differential Equations with Application to Neutron Transport

arXiv:2604.13830v1 Announce Type: cross Abstract: Integro-differential equations arise in a wide range of applications, including transport, kinetic theory, radiative transfer, and multiphysics modeli

researcharxiv-cs-lg

Reducing Hallucinations in LLMs via Factuality-Aware Preference Learning

arXiv:2601.03027v3 Announce Type: replace Abstract: Preference alignment methods such as RLHF and Direct Preference Optimization (DPO) improve instruction following, but they can also reinforce halluc

safetyarxiv-cs-cl

Restless Bandits with Individual Penalty Constraints: A New Near-Optimal Index Policy and How to Learn It

arXiv:2604.04101v2 Announce Type: replace Abstract: This paper investigates the Restless Multi-Armed Bandit (RMAB) framework under individual penalty constraints to address resource allocation challen

Sparse Goodness: How Selective Measurement Transforms Forward-Forward Learning

arXiv:2604.13081v1 Announce Type: new Abstract: The Forward-Forward (FF) algorithm is a biologically plausible alternative to backpropagation that trains neural networks layer by layer using a local g

tutorialsarxiv-cs-lg

The Download: cyberscammers’ banking bypasses, and carbon removal troubles

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Cyberscammers are bypassing banks’ security with illicit tools

researchmit-tech-review

The fact that you can create a video like this in just a few minutes is pretty insane and magical. Anyone can place themselves into any worl…

industrycristobal-valenzuela--x

The fact that you can create a video like this in just a few minutes is pretty insane and magical. Anyone can place themselves into any world they want, real or imagined, instantly and soon in real ti

The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior

arXiv:2604.13082v1 Announce Type: new Abstract: Grokking in transformers trained on algorithmic tasks is characterized by a long delay between training-set fit and abrupt generalization, but the sourc

The Spectrascapes Dataset: Street-view imagery beyond the visible captured using a mobile platform

arXiv:2604.13315v1 Announce Type: new Abstract: High-resolution data in spatial and temporal contexts is imperative for developing climate resilient cities. Current datasets for monitoring urban param

this makes sense all else held equal, concentrated fund = less risky bets we've found that 36 companies is the max number of companies we ca…

tutorialsyohei-nakajima--x

this makes sense all else held equal, concentrated fund = less risky bets we've found that 36 companies is the max number of companies we can fit into a fund while claiming that a single company at 1B

Tools

Vercel Workflows is GA. Your code is the orchestrator. Ship agents, backends, or any long-running process without managing queues, retries, …

Vercel Workflows is GA. Your code is the orchestrator. Ship agents, backends, or any long-running process without managing queues, retries, or workers. https://vercel.com/blog/a-new-programming-model-

toolsvercel--x

Voice actors worldwide are mobilizing to protect their livelihoods and personality rights as Hollywood studios push AI dubbing to replace human performances (Rina Chandran/Rest of World)

Rina Chandran / Rest of World: Voice actors worldwide are mobilizing to protect their livelihoods and personality rights as Hollywood studios push AI dubbing to replace human performances — Voice AI t

industrytechmeme

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection

arXiv:2604.13660v1 Announce Type: new Abstract: In Deepfake Detection (DFD) tasks, researchers proposed two types of MLLM-based methods: complementary combination with small DFD detectors, or static f

safetyarxiv-cs-cv

Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking

arXiv:2604.13776v1 Announce Type: cross Abstract: Watermarking is becoming the default mechanism for AI content authentication, with governance policies and frameworks referencing it as infrastructure

safetyarxiv-cs-cl

Why dynamically routing multi-timescale advantages in PPO causes policy collapse (and a simple decoupled fix) [R]

This Reddit post discusses a known instability in PPO when advantage estimates operating across different temporal scales (e.g., short-horizon and long-horizon returns) are dynamically routed or mixed

safetyr-machinelearning

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations

arXiv:2511.04671v2 Announce Type: replace-cross Abstract: Human videos are a scalable source of training data for robot learning. However, humans and robots significantly differ in embodiment, making

tutorialsarxiv-cs-cv

ZoomSpec: A Physics-Guided Coarse-to-Fine Framework for Wideband Spectrum Sensing

arXiv:2604.13568v1 Announce Type: new Abstract: Wideband spectrum sensing for low-altitude monitoring is critical yet challenging due to heterogeneous protocols,large bandwidths, and non-stationary SN

applicationsarxiv-cs-cv

12-second Hot Wheels-style racing clip made locally with LTX

local-air-stablediffusion

A Reddit post on r/StableDiffusion showcasing a locally generated 12-second AI video clip styled after Hot Wheels toy car racing, produced using LTX-Video — a low-memory, open-source video generation

3DRO: Lidar-level SE(3) Direct Radar Odometry Using a 2D Imaging Radar and a Gyroscope

arXiv:2604.12027v1 Announce Type: new Abstract: Recently, the robotics community has regained interest in radar-based perception and state estimation. A 2D imaging radar provides dense 360deg informat

researcharxiv-cs-ro

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning

arXiv:2603.08291v3 Announce Type: replace Abstract: Multimodal Mathematical Reasoning (MMR) has recently attracted increasing attention for its capability to solve mathematical problems involving both

safetyarxiv-cs-ai

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

arXiv:2604.12969v1 Announce Type: new Abstract: Computational phantoms are widely used in medical imaging research, yet current systems to generate controlled, clinically meaningful anatomical variati

Accelerating decode-heavy LLM inference with speculative decoding on AWS Trainium and vLLM

Speculative decoding is a technique used to accelerate the slow, sequential token generation (decode stage) in LLM inference. This method significantly reduces latency and improves hardware utilizatio

tutorialsaws-ml-blog

Agentic workflows are making distributed, always-on databases nonnegotiable

Enterprise database infrastructure is undergoing its most consequential redesign in decades, as agentic AI workloads demand a level of elasticity that legacy architectures were never built to provide.

Allbirds abandons clothes, pivots to 'AI compute infrastructure'

Allbirds is abandoning its core footwear business and pivoting to AI compute infrastructure, backed by a $50 million convertible financing facility — more than double its prior market value. The move

industryars-technica

Bad data, not bad AI, is what’s stalling enterprise deployments

The question is no longer whether to deploy AI — it’s why so many deployments stall before delivering returns. The answer usually comes down to a lack of trusted data foundation. As research from Qlik

Beyond Prompt: Fine-grained Simulation of Cognitively Impaired Standardized Patients via Stochastic Steering

arXiv:2604.12210v1 Announce Type: new Abstract: Simulating Standardized Patients with cognitive impairment offers a scalable and ethical solution for clinical training. However, existing methods rely

researcharxiv-cs-ai

Beyond Weather Correlation: A Comparative Study of Static and Temporal Neural Architectures for Fine-Grained Residential Energy Consumption Forecasting in Melbourne, Australia

arXiv:2604.12304v1 Announce Type: new Abstract: Accurate short-term residential energy consumption forecasting at sub-hourly resolution is critical for smart grid management, demand response programme

applicationsarxiv-cs-lg

BIND-USBL: Bounding IMU Navigation Drift using USBL in Heterogeneous ASV-AUV Teams

arXiv:2604.11861v1 Announce Type: new Abstract: Accurate and continuous localization of Autonomous Underwater Vehicles (AUVs) in GPS-denied environments is a persistent challenge in marine robotics. I

local-aiarxiv-cs-ro