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Musculoskeletal Motion Imitation for Learning Personalized Exoskeleton Control Policy in Impaired Gait

arXiv:2604.09431v1 Announce Type: new Abstract: Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimi

safetyarxiv-cs-ro

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Research

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs

DGX agent

arXiv:2505.20638v2 Announce Type: replace-cross Abstract: While recent Multimodal Large Language Models exhibit impressive capabilities for general multimodal tasks, specialized domains like music nec

researcharxiv-cs-cv

13 Apr 2026

MuTSE: A Human-in-the-Loop Multi-use Text Simplification Evaluator

arXiv:2604.08947v1 Announce Type: cross Abstract: As Large Language Models (LLMs) become increasingly prevalent in text simplification, systematically evaluating their outputs across diverse prompting

Tutorials

MV3DIS: Multi-View Mask Matching via 3D Guides for Zero-Shot 3D Instance Segmentation

arXiv:2604.08916v1 Announce Type: new Abstract: Conventional 3D instance segmentation methods rely on labor-intensive 3D annotations for supervised training, which limits their scalability and general

tutorialsarxiv-cs-cv

My bad, won't happen again 😭

A Reddit post from the r/ChatGPT community, likely featuring a humorous or relatable interaction where ChatGPT apologizes or over-corrects after being prompted or corrected by a user. The title and cr

industryr-chatgpt

My confidence on a working day

A Reddit post from the r/ChatGPT community, likely featuring a humorous or relatable meme, image, or anecdote comparing a user's confidence levels when using ChatGPT as a productivity aid during a wor

industryr-chatgpt

[N] AMA Announcement: Max Welling (VAEs, GNNs, AI4Science & CuspAI)

researchr-machinelearning

This r/MachineLearning AMA announcement features Max Welling, a prominent figure in machine learning renowned for his foundational contributions to probabilistic deep learning, including the co-develo

Natural Riemannian gradient for learning functional tensor networks

model-releasesarxiv-cs-lg

arXiv:2604.09263v1 Announce Type: cross Abstract: We consider machine learning tasks with low-rank functional tree tensor networks (TTN) as the learning model. While in the case of least-squares regre

NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression

model-releasesarxiv-cs-cl

arXiv:2604.08923v1 Announce Type: new Abstract: Dimensional Aspect-Based Sentiment Analysis (DimABSA) extends traditional ABSA from categorical polarity labels to continuous valence-arousal (VA) regre

Need help to download from civitai in China

local-air-stablediffusion

This Reddit thread from r/StableDiffusion addresses the challenge faced by users in China trying to access and download models from Civitai, which may be restricted or slow due to network limitations

Neighbourhood Transformer: Switchable Attention for Monophily-Aware Graph Learning

arXiv:2604.08980v1 Announce Type: cross Abstract: Graph neural networks (GNNs) have been widely adopted in engineering applications such as social network analysis, chemical research and computer visi

applicationsarxiv-cs-ai

Nested Radially Monotone Polar Occupancy Estimation: Clinically-Grounded Optic Disc and Cup Segmentation for Glaucoma Screening

arXiv:2604.09062v1 Announce Type: new Abstract: Valid segmentation of the optic disc (OD) and optic cup (OC) from fundus photographs is essential for glaucoma screening. Unfortunately, existing deep l

researcharxiv-cs-cv

一つのニューラルネットに符号と記号は創発しうるか？「Neural Computers」論文から考える @rmaruy https://rmaruy.hatenablog.com/entry/2026/04/11/223828

This Japanese blog post explores whether signs and symbols can emerge within a single neural network, drawing on analysis of the 'Neural Computers' paper. The discussion likely examines the intersecti

researchdavid-ha--x

Neural Distribution Prior for LiDAR Out-of-Distribution Detection

arXiv:2604.09232v1 Announce Type: cross Abstract: LiDAR-based perception is critical for autonomous driving due to its robustness to poor lighting and visibility conditions. Yet, current models operat

Neural networks for Text-to-Speech evaluation

arXiv:2604.08562v1 Announce Type: cross Abstract: Ensuring that Text-to-Speech (TTS) systems deliver human-perceived quality at scale is a central challenge for modern speech technologies. Human subje

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution

arXiv:2502.06809v3 Announce Type: replace-cross Abstract: Pervasive polysemanticity in large language models (LLMs) undermines discrete neuron-concept attribution, posing a significant challenge for m

local-aiarxiv-cs-ai

New game for your chat bot. Ask it to watch your egg for a sec. 😂

A viral Reddit post from r/ChatGPT where users discovered an amusing interaction by asking AI chatbots to 'watch their egg for a second,' likely highlighting how the AI responds to an open-ended, whim

industryr-chatgpt

Agents

🔒 new in deepagents: filesystem permissions shared resources and org-wide policies are exactly the kind of files you want your agent to rea…

🔒 new in deepagents: filesystem permissions shared resources and org-wide policies are exactly the kind of files you want your agent to read but never overwrite. filesystem permissions let you enforce

agentsharrison-chase--x

Tools

New today: Replit AI Invoices Get paid faster with AI-generated invoices

Replit has introduced AI-generated invoices as a new feature, enabling users to create and send invoices more quickly using artificial intelligence. The tool is designed to streamline the billing proc

toolsreplit--x

New WAN 2.2 Lightx2v speed lora 260412

local-air-stablediffusion

A new speed-focused LoRA for the Wan 2.2 video generation model, released by the LightX2V project on April 26, 2024, shared on the r/StableDiffusion community. The LightX2V distilled LoRA dramatically

Tutorials

NEW WORLD RECORD: 18-year-old sprint phenom Gout Gout has clocked a stunning 19.67 time in the 200m run, surpassing Usain Bolt’s legendary m…

tutorialsjeremy-howard--x

Australian sprinter Gout Gout, an 18-year-old of South Sudanese descent, reportedly set a world record in the 200m with a time of 19.67 seconds, surpassing Usain Bolt's long-standing record. The post

NEWS: U.S. Department of Agriculture (USDA) to adopt Grok. The U.S. Department of Agriculture (USDA) says it’s “proud” to move forward with …

NEWS: U.S. Department of Agriculture (USDA) to adopt Grok. The U.S. Department of Agriculture (USDA) says it’s “proud” to move forward with a plan to deploy xAI’s Grok across the agency. The USDA is a

applicationselon-musk--x

Nexus: Same Pretraining Loss, Better Downstream Generalization via Common Minima

model-releasesarxiv-cs-lg

arXiv:2604.09258v1 Announce Type: new Abstract: Pretraining is the cornerstone of Large Language Models (LLMs), dominating the vast majority of computational budget and data to serve as the primary en

NO MORE PAYING FOR API! NEW SOLUTION!

A Reddit post from the r/ollama community discussing a free alternative to paid AI API services, likely centered around using Ollama to run large language models locally. The post probably highlights

local-air-ollama

No Single Best Model for Diversity: Learning a Router for Sample Diversity

arXiv:2604.02319v2 Announce Type: replace Abstract: When posed with prompts that permit a large number of valid answers, comprehensively generating them is the first step towards satisfying a wide ran

researcharxiv-cs-cl

Noise-Aware In-Context Learning for Hallucination Mitigation in ALLMs

arXiv:2604.09021v1 Announce Type: cross Abstract: Auditory large language models (ALLMs) have demonstrated strong general capabilities in audio understanding and reasoning tasks. However, their reliab

NOMAD: Generating Embeddings for Massive Distributed Graphs

arXiv:2604.09419v1 Announce Type: new Abstract: Successful machine learning on graphs or networks requires embeddings that not only represent nodes and edges as low-dimensional vectors but also preser

applicationsarxiv-cs-lg

Not an unexpected jump in capability given trends, but a significant one.

applicationsethan-mollick--x

Ethan Mollick, a Wharton professor and prominent AI researcher, posted commentary on what appears to be a notable AI capability advancement, framing it as a predictable progression along established p

NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)

model-releasesarxiv-cs-cv

arXiv:2604.09030v1 Announce Type: new Abstract: This paper presents NTIRE 2026, the 3rd Restore Any Image Model (RAIM) challenge on multi-exposure image fusion in dynamic scenes. We introduce a benchm

Hardware

Nvidia hasn’t budged in six months. Coreweave is down 21% Oracle is down 50% Microsoft is down 25% Like it or not, the bubble has already st…

Gary Marcus, an AI skeptic and cognitive scientist, posted on X highlighting diverging stock performance in the AI infrastructure sector, noting that while Nvidia has remained relatively stable, CoreW

hardwaregary-marcus--x

NyayaMind- A Framework for Transparent Legal Reasoning and Judgment Prediction in the Indian Legal System

arXiv:2604.09069v1 Announce Type: cross Abstract: Court Judgment Prediction and Explanation (CJPE) aims to predict a judicial decision and provide a legally grounded explanation for a given case based

NZXT agrees to let customers keep their rental PCs in class-action settlement

NZXT and its billing partner Fragile Inc. have agreed to a 3.45 million preliminary settlement in a California District Court to resolve a class-action lawsuit over their controversial 'Flex' PC renta

industryars-technica

OASIS: Online Activation Subspace Learning for Memory-Efficient Training

arXiv:2604.09406v1 Announce Type: new Abstract: Training large language models (LLMs) is constrained by memory requirements, with activations accounting for a substantial fraction of the total footpri

researcharxiv-cs-lg

Ocr benchmark

model-releasesjerry-liu--x

Ocr benchmark We’re open sourcing the first document OCR benchmark for the agentic era, ParseBench. Document parsing is the foundation of every AI agent that works with real-world files. ParseBench is

Off-the-shelf Vision Models Benefit Image Manipulation Localization

arXiv:2604.09096v1 Announce Type: new Abstract: Image manipulation localization (IML) and general vision tasks are typically treated as two separate research directions due to the fundamental differen

local-aiarxiv-cs-cv

Offline-First LLM Architecture for Adaptive Learning in Low-Connectivity Environments

arXiv:2603.03339v5 Announce Type: replace-cross Abstract: Artificial intelligence (AI) and large language models (LLMs) are transforming educational technology by enabling conversational tutoring, per

local-aiarxiv-cs-cl

Offline Local Search for Online Stochastic Bandits

arXiv:2604.09423v1 Announce Type: new Abstract: Combinatorial multi-armed bandits provide a fundamental online decision-making environment where a decision-maker interacts with an environment across T

researcharxiv-cs-lg

Ollama 0.20.6 is here with improved Gemma 4 tool calling! more improvements to come for Gemma 4!

Ollama version 0.20.6 has been released, featuring improved tool calling support for Google's Gemma 4 model. The update focuses on enhancing the reliability and functionality of function/tool calling

model-releasesollama--x

Ollama Cloud Pro (20/mo) vs OpenAI Plus (23/mo) .Which gives more tokens ?

This Reddit thread from r/ollama compares Ollama Cloud Pro (20/month) and OpenAI Plus (23/month) with a focus on token allowances and value. Ollama Cloud Pro is a fixed-price subscription tier launche

local-air-ollama

Ollama has reduced the limits on their Pro subscription.

Users in the r/ollama community reported that Ollama reduced the usage limits on their Pro subscription tier for cloud-hosted inference. Ollama Cloud is available through subscription tiers including

local-air-ollama

Ollama / Mistral with MCP to Mempalace

This Reddit post from r/ollama discusses integrating Ollama-served Mistral with MemPalace — a free, locally-run AI memory system — via the Model Context Protocol (MCP). MemPalace runs entirely on a us

model-releasesr-ollama

Tutorials

OmniPrism: Learning Disentangled Visual Concept for Image Generation

arXiv:2412.12242v2 Announce Type: replace-cross Abstract: Creative visual concept generation often draws inspiration from specific concepts in a reference image to produce relevant outcomes. However,

tutorialsarxiv-cs-ai

On Divergence Measures for Training GFlowNets

arXiv:2410.09355v2 Announce Type: cross Abstract: Generative Flow Networks (GFlowNets) are amortized inference models designed to sample from unnormalized distributions over composable objects, with a

On Semiotic-Grounded Interpretive Evaluation of Generative Art

arXiv:2604.08641v1 Announce Type: cross Abstract: Interpretation is essential to deciphering the language of art: audiences communicate with artists by recovering meaning from visual artifacts. Howeve

On-the-Fly Adaptation to Quantization: Configuration-Aware LoRA for Efficient Fine-Tuning of Quantized LLMs

arXiv:2509.25214v3 Announce Type: replace-cross Abstract: As increasingly large pre-trained models are released, deploying them on edge devices for privacy-preserving applications requires effective c

On the Limits of Layer Pruning for Generative Reasoning in Large Language Models

arXiv:2602.01997v2 Announce Type: replace-cross Abstract: Recent work has shown that layer pruning can effectively compress large language models (LLMs) while retaining strong performance on classific

researcharxiv-cs-ai

On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework

arXiv:2604.09430v1 Announce Type: cross Abstract: Text embeddings are central to modern information retrieval and Retrieval-Augmented Generation (RAG). While dense models derived from Large Language M

On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach

arXiv:2604.09202v1 Announce Type: cross Abstract: Cloud providers must assign heterogeneous compute resources to workflow DAGs while balancing competing objectives such as completion time, cost, and e