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Location Is All You Need: Continuous Spatiotemporal Neural Representations of Earth Observation Data

arXiv:2604.07092v2 Announce Type: replace Abstract: In this work, we present LIANet (Location Is All You Need Network), a coordinate-based neural representation that models multi-temporal spaceborne E

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Model Releases

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios

DGX agent

arXiv:2509.09926v5 Announce Type: replace Abstract: Long-tailed semi-supervised learning (LTSSL) presents a formidable challenge where models must overcome the scarcity of tail samples while mitigatin

model-releasesarxiv-cs-lg

10 Apr 2026

Logical Robots: Declarative Multi-Agent Programming in Logica

arXiv:2604.06629v1 Announce Type: cross Abstract: We present Logical Robots, an interactive multi-agent simulation platform where autonomous robot behavior is specified declaratively in the logic prog

agentsarxiv-cs-ai

Logics-Parsing-Omni Technical Report

arXiv:2603.09677v3 Announce Type: replace Abstract: Addressing the challenges of fragmented task definitions and the heterogeneity of unstructured data in multimodal parsing, this paper proposes the O

LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and Verification

arXiv:2502.17421v4 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) can now process extremely long contexts, efficient inference over these extended inputs has become increasingl

researcharxiv-cs-ai

LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning

arXiv:2506.18841v3 Announce Type: replace-cross Abstract: Ultra-long generation by large language models (LLMs) is a widely demanded scenario, yet it remains a significant challenge due to their maxim

Looking Beyond the Obvious: A Survey on Abstract Concept Recognition for Video Understanding

arXiv:2508.20765v2 Announce Type: replace-cross Abstract: The automatic understanding of video content is advancing rapidly. Empowered by deeper neural networks and large datasets, machines are increa

researcharxiv-cs-ai

Loop, Think, & Generalize: Implicit Reasoning in Recurrent-Depth Transformers

arXiv:2604.07822v1 Announce Type: new Abstract: We study implicit reasoning, i.e. the ability to combine knowledge or rules within a single forward pass. While transformer-based large language models

researcharxiv-cs-cl

LoRA-DA: Data-Aware Initialization for Low-Rank Adaptation via Asymptotic Analysis

arXiv:2510.24561v2 Announce Type: replace-cross Abstract: LoRA has become a widely adopted method for PEFT, and its initialization methods have attracted increasing attention. However, existing method

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts?

arXiv:2503.18018v2 Announce Type: replace Abstract: We demonstrate that large language models' (LLMs) mathematical reasoning is culturally sensitive: testing 14 models from Anthropic, OpenAI, Google,

Lost in the Hype: Revealing and Dissecting the Performance Degradation of Medical Multimodal Large Language Models in Image Classification

arXiv:2604.08333v1 Announce Type: new Abstract: The rise of multimodal large language models (MLLMs) has sparked an unprecedented wave of applications in the field of medical imaging analysis. However

lots of absolute bangers from today's @OpenClaw track. it was such a privilege to host so many of the world's top clanker experts in one roo…

lots of absolute bangers from today's @OpenClaw track. it was such a privilege to host so many of the world's top clanker experts in one room, and see the range from indie developers to the world's la

toolsswyx--x

Applications

Love this new podcast format ❤️ super insightful!

applicationsharrison-chase--x

Love this new podcast format ❤️ super insightful! 🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeof

Loved the keynote talk about this at @aiDotEngineer . As a Age of Empires fan, I might try it -- just for fun :D Don't think I am going to u…

Loved the keynote talk about this at @aiDotEngineer . As a Age of Empires fan, I might try it -- just for fun :D Don't think I am going to use it for day to day but surely for fun! AgentCraft v1 is li

toolsswyx--x

Low-Rank Key Value Attention

arXiv:2601.11471v3 Announce Type: replace Abstract: The key-value (KV) cache is a primary memory bottleneck in Transformers. We propose Low-Rank Key-Value (LRKV) attention, which reduces KV cache memo

researcharxiv-cs-lg

LPM 1.0: Video-based Character Performance Model

model-releasesarxiv-cs-cv

arXiv:2604.07823v1 Announce Type: new Abstract: Performance, the externalization of intent, emotion, and personality through visual, vocal, and temporal behavior, is what makes a character alive. Lear

Local Ai

LTX 2.3 - Image + Audio + Video ControlNet (IC-LoRA) to Video

local-air-stablediffusion

LTX-2.3 is a DiT-based audio-video foundation model from Lightricks that generates synchronized video and audio within a single model pass, representing a significant upgrade over LTX-2 with improv...

Local Ai

LTX 2.3 Lip Sync Music Clip -- Drake - Toosie Slide

local-air-stablediffusion

A Reddit post in the r/StableDiffusion community showcasing a lip sync music video clip generated using LTX 2.3 — Lightricks' open-source AI video model — synchronized to Drake's 'Toosie Slide.' L...

Lumbermark: Resistant Clustering by Chopping Up Mutual Reachability Minimum Spanning Trees

model-releasesarxiv-cs-lg

arXiv:2604.07143v1 Announce Type: new Abstract: We introduce Lumbermark, a robust divisive clustering algorithm capable of detecting clusters of varying sizes, densities, and shapes. Lumbermark iterat

LumiCtrl : Learning Illuminant Prompts for Lighting Control in Personalized Text-to-Image Models

arXiv:2512.17489v2 Announce Type: replace Abstract: Text-to-image (T2I) models have demonstrated remarkable progress in creative image generation, yet they still lack precise control over scene illumi

LUMINA: Foundation Models for Topology Transferable ACOPF

arXiv:2603.04300v2 Announce Type: replace Abstract: Foundation models in general promise to accelerate scientific computation by learning reusable representations across problem instances, yet constra

safetyarxiv-cs-lg

Applications

Luwen Technical Report

arXiv:2604.06737v1 Announce Type: cross Abstract: Large language models have demonstrated remarkable capabilities across a wide range of natural language processing tasks, yet their application in the

applicationsarxiv-cs-ai

Lyria by @GoogleDeepMind is next level it did average Turkish pop song very well all my Turkish friends in the conference hall was summoned …

Google DeepMind's Lyria is an advanced AI music generation model capable of producing high-quality audio — including vocals, lyrics, and instrumentals — across a wide range of genres and styles fro...

toolsswyx--x

Local Ai

Mac mini M4 48GB

The Mac Mini M4 Pro with 48GB unified memory is a popular choice in the local AI community for running large language models via Ollama, as its Apple Silicon architecture makes all 48GB of RAM dire...

local-air-ollama

Machine Unlearning in the Era of Quantum Machine Learning: An Empirical Study

arXiv:2512.19253v4 Announce Type: replace-cross Abstract: We present the first empirical study of machine unlearning (MU) in hybrid quantum-classical neural networks. While MU has been extensively exp

safetyarxiv-cs-ai

Making MLLMs Blind: Adversarial Smuggling Attacks in MLLM Content Moderation

model-releasesarxiv-cs-cv

arXiv:2604.06950v2 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) are increasingly being deployed as automated content moderators. Within this landscape, we uncover a critic

Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS

arXiv:2604.07276v1 Announce Type: cross Abstract: GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy a

Making Turborepo 96% faster with agents, sandboxes, and humans

Turborepo 2.9 achieves up to 96% faster performance than Turborepo 2.8, with the gains resulting not from a single optimization but from eight days of combining AI coding agents, Vercel Sandboxes, ...

toolsvercel-blog

Manage Vercel Microfrontends with AI Agents and the CLI

Vercel Microfrontends now simplifies setup and management through two key additions: an AI coding skill and new CLI commands. The dedicated Microfrontends AI skill allows developers to use natural ...

toolsvercel-blog

MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference

model-releasesarxiv-cs-cl

arXiv:2509.22750v3 Announce Type: replace Abstract: Real-world multi-hop QA is naturally linked with ambiguity, where a single query can trigger multiple reasoning paths that require independent resol

Mark “Metaverse” Zuckerberg totally bought Moltbook at the peak of the market 🤣

Meta acquired Moltbook, an AI-only social network launched in January 2026 by entrepreneurs Matt Schlicht and Ben Parr, after the platform had gone viral and then faded in popularity. Moltbook is ...

safetygary-marcus--x

MAT-Cell: A Multi-Agent Tree-Structured Reasoning Framework for Batch-Level Single-Cell Annotation

arXiv:2604.06269v1 Announce Type: cross Abstract: Automated cellular reasoning faces a core dichotomy: supervised methods fall into the Reference Trap and fail to generalize to out-of-distribution cel

agentsarxiv-cs-ai

Mathematical Analysis of Image Matching Techniques

arXiv:2604.07574v1 Announce Type: new Abstract: Image matching is a fundamental problem in Computer Vision with direct applications in robotics, remote sensing, and geospatial data analysis. We presen

Matrix Profile for Anomaly Detection on Multidimensional Time Series

arXiv:2409.09298v2 Announce Type: replace-cross Abstract: The Matrix Profile (MP), a versatile tool for time series data mining, has been shown effective in time series anomaly detection (TSAD). This

Matrix Profile for Time-Series Anomaly Detection: A Reproducible Open-Source Benchmark on TSB-AD

model-releasesarxiv-cs-lg

arXiv:2604.02445v2 Announce Type: replace Abstract: Matrix Profile (MP) methods are an interpretable and scalable family of distance-based methods for time-series anomaly detection, but strong benchma

Applications

Max volume for Max Agency 📣🗣️

applicationsharrison-chase--x

Max volume for Max Agency 📣🗣️ 🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and every

MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives

arXiv:2603.22364v2 Announce Type: replace-cross Abstract: Diffusion models have achieved state-of-the-art performance in generative modeling, but their success often relies heavily on classifier-free

safetyarxiv-cs-cv

MCP is very much alive! With co-creator of MCP @dsp_ at AIE London

The referenced tweet (status ID 2042696610614849548) is not publicly accessible via search, and the X.com URL requires JavaScript/login to render. Based on the available context from related search...

agentsswyx--x

MDP modeling for multi-stage stochastic programs

arXiv:2509.22981v2 Announce Type: replace Abstract: We study a class of multi-stage stochastic programs, which incorporate modeling features from Markov decision processes (MDPs). This class includes

safetyarxiv-cs-lg

Hardware

Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure Planning

arXiv:2604.07345v1 Announce Type: cross Abstract: The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the e

hardwarearxiv-cs-lg

MedConclusion: A Benchmark for Biomedical Conclusion Generation from Structured Abstracts

arXiv:2604.06505v1 Announce Type: cross Abstract: Large language models (LLMs) are widely explored for reasoning-intensive research tasks, yet resources for testing whether they can infer scientific c

MedDialBench: Benchmarking LLM Diagnostic Robustness under Parametric Adversarial Patient Behaviors

arXiv:2604.06846v1 Announce Type: cross Abstract: Interactive medical dialogue benchmarks have shown that LLM diagnostic accuracy degrades significantly when interacting with non-cooperative patients,

MedRoute: RL-Based Dynamic Specialist Routing in Multi-Agent Medical Diagnosis

arXiv:2604.06180v1 Announce Type: cross Abstract: Medical diagnosis using Large Multimodal Models (LMMs) has gained increasing attention due to capability of these models in providing precise diagnose

agentsarxiv-cs-lg

MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning

arXiv:2604.08203v1 Announce Type: new Abstract: Medical Vision-Language Models (VLMs) hold immense promise for complex clinical tasks, but their reasoning capabilities are often constrained by text-on

safetyarxiv-cs-cv

Meet the 2026 Vercel AI Accelerator Cohort

Vercel's 2026 AI Accelerator cohort is a six-week program selecting 40 early-stage AI startups, giving teams access to Vercel infrastructure, $8M+ in partner credits from AWS, Anthropic, OpenAI, C...

toolsvercel-blog

Industry

Meet Zul Mohamed. He pleaded guily to 106 felony voter fraud charges for forging mail-in ballot applications. He’s now running for mayor in …

Meet Zul Mohamed. He pleaded guily to 106 felony voter fraud charges for forging mail-in ballot applications. He’s now running for mayor in Carrollton, Texas and wants to be in charge of passing laws.

industryelon-musk--x

MegaStyle: Constructing Diverse and Scalable Style Dataset via Consistent Text-to-Image Style Mapping

arXiv:2604.08364v1 Announce Type: new Abstract: In this paper, we introduce MegaStyle, a novel and scalable data curation pipeline that constructs an intra-style consistent, inter-style diverse and hi

Industry

Memory Scaling for AI Agents

Databricks Research introduced **MemAlign**, a memory framework for AI agents that stores past interactions as episodic memories and uses an LLM to distill them into generalized semantic rules, whi...

industrydatabricks