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LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning

arXiv:2605.22012v1 Announce Type: new Abstract: Joint audio-visual reasoning is essential for omnimodal understanding, yet current multimodal large language models (MLLMs) still struggle when reasonin

researcharxiv-cs-cl

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Agents

Latest @coalitionvc investment!! Killer founding team, novel tech, huge ambitions. First time diligence has involved smelling molecules.

DGX agent

Latest @coalitionvc investment!! Killer founding team, novel tech, huge ambitions. First time diligence has involved smelling molecules. while everyone seems to be focused on text, vision, and audio,

agentsyohei-nakajima--x

22 May 2026

Learning A Unified Risk Map for Autonomous Driving in Partially Observable Environments

arXiv:2605.22189v1 Announce Type: new Abstract: Occlusion-aware prediction remains a critical challenge in autonomous driving due to the inherent uncertainty of unobserved regions. Existing approaches

agentsarxiv-cs-ro

Learning Altruistic Collaboration in Heterogeneous Multi-Team Systems

arXiv:2605.21723v1 Announce Type: new Abstract: This paper studies heterogeneous multi-team collaboration through dynamic robot allocation, where robots are treated as transferable resources. Leveragi

safetyarxiv-cs-ro

Learning Emergent Modular Representations in Multi-modality Medical Vision Foundation Models

arXiv:2605.21861v1 Announce Type: new Abstract: Multi-modality medical vision (MV) foundation models (FM) are fundamentally challenged by pronounced Non-IID feature statistics across heterogeneous ima

Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning

arXiv:2605.21988v1 Announce Type: new Abstract: Video large language models (Video LLMs) achieve strong benchmark accuracy, yet often answer video questions through shortcuts such as single-frame cues

Learning to Configure Agentic AI Systems

arXiv:2602.11574v3 Announce Type: replace Abstract: Configuring LLM-based agent systems involves choosing workflows, tools, token budgets, and prompts from a large combinatorial design space, and is t

safetyarxiv-cs-ai

Learning to Evolve: Multi-modal Interactive Fields for Robust Humanoid Navigation in Dynamic Environments

arXiv:2605.21935v1 Announce Type: new Abstract: Safe manipulation-oriented navigation for humanoid robots requires scene memory that remains reliable under locomotion-induced perceptual distortion, en

safetyarxiv-cs-ro

Lenovo reports Q4 revenue up 27% YoY to 21.6B, above 18.7B est., net profit up 479% to 521M, above 271M est., as the PC maker pushes into AI server markets (Reuters)

Reuters: Lenovo reports Q4 revenue up 27% YoY to 21.6B, above 18.7B est., net profit up 479% to 521M, above 271M est., as the PC maker pushes into AI server markets — Lenovo Group (0992.HK) reported a

Lens: Rethinking Training Efficiency for Foundational Text-to-Image Models

arXiv:2605.21573v1 Announce Type: new Abstract: We introduce Lens, a 3.8B-parameter T2I model that achieves performance competitive with, and in several cases surpassing, state-of-the-art models with

LFX: Towards Unified Light Field Dense Semantic Segmentation and Salient Object Detection

arXiv:2503.00747v2 Announce Type: replace Abstract: Light field cameras capture multi-view observations within a single exposure. However, existing studies are typically tailored to specific LF repres

researcharxiv-cs-cv

LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management

arXiv:2605.12321v2 Announce Type: replace Abstract: Large language models (LLMs) show strong potential for Intelligent Transportation Systems (ITS), particularly in tasks requiring situational reasoni

agentsarxiv-cs-ai

Liftoff of Starship!

SpaceX's Starship completed a significant launch event, as announced by Elon Musk on X (formerly Twitter). This likely refers to one of Starship's test flights, which are part of SpaceX's development

industryelon-musk--x

LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?

arXiv:2510.07962v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated remarkable progress in reasoning, often through supervised fine-tuning (SFT). However, SFT is resourc

researcharxiv-cs-cl

Linear Dynamics in the RLVR Training of Large Language Models

arXiv:2601.04537v3 Announce Type: replace-cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has driven significant performance gains in reasoning-oriented large language models (LL

Link to GPT 5.5 on the recent Erdo problem: https://x.com/maxiao54704/status/2057484153755480537?s=61

model-releasesgary-marcus--x

Link to GPT 5.5 on the recent Erdo problem: https://x.com/maxiao54704/status/2057484153755480537?s=61 The standard GPT-5.5 reproduced the proof ~ 👇 https://chatgpt.com/share/6a0e9e04-8cb0-8332-a4f1-ec

LLM Readiness Harness: Evaluation, Observability, and CI Gates for LLM/RAG Applications

arXiv:2603.27355v2 Announce Type: replace-cross Abstract: We present a readiness harness for LLM and RAG applications that turns evaluation into a deployment decision workflow. The system combines aut

Tools

lol ok you can pause and adjust mid goal now https://x.com/openaidevs/status/2057530209470210453?s=46

lol ok you can pause and adjust mid goal now https://x.com/openaidevs/status/2057530209470210453?s=46 🥅 /goal has graduated from an experiment—for tasks big and small, Codex gets your work done. Use g

toolsswyx--x

LongVT: Incentivizing 'Thinking with Long Videos' via Native Tool Calling

arXiv:2511.20785v3 Announce Type: replace Abstract: Large multimodal models (LMMs) have shown great potential for video reasoning with textual Chain-of-Thought. However, they remain vulnerable to hall

Local Ai

Look-Closer-Then-Diagnose: Confidence-Aware Ultrasound VQA via Active Zooming

arXiv:2605.21652v1 Announce Type: new Abstract: Vision-Language Models (VLMs) have significantly advanced medical visual question answering, yet their performance in ultrasound remains suboptimal. In

local-aiarxiv-cs-cv

Lower Bounds for Advection-Diffusion Equations: An Exploration with AI-Generated Proofs

arXiv:2605.20623v1 Announce Type: cross Abstract: We establish explicit lower bounds for advection-diffusion equations in three settings: a polynomial ot H^{-1} bound for inviscid shears with uin L^in

agentsarxiv-cs-ai

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model

arXiv:2605.22089v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models have emerged as a promising framework for end-to-end autonomous driving. However, existing VLAs typically rely on sp

M3: Conversational LLMs Simplify Secure Clinical Data Access, Understanding, and Analysis

model-releasesarxiv-cs-ai

arXiv:2507.01053v4 Announce Type: replace-cross Abstract: Large-scale clinical databases offer opportunities for medical research, but their complexity creates barriers to effective use. The Medical I

Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles

arXiv:2605.22177v1 Announce Type: cross Abstract: The proliferation of large language models (LLMs) and modular skills has endowed autonomous agents with increasingly powerful capabilities. Existing f

Tutorials

MagicFuse: Single Image Fusion for Visual and Semantic Reinforcement

arXiv:2602.01760v2 Announce Type: replace Abstract: This paper focuses on a highly practical scenario: how to continue benefiting from the advantages of multi-modal image fusion under harsh conditions

tutorialsarxiv-cs-cv

Major study finds voters have statistically zero influence on Congress. In case you’re curious why the 80% issues don’t pass, from crime to …

A study cited on X suggests that voter preferences have negligible statistical influence on congressional voting decisions, potentially explaining why policies supported by large majorities of the pub

industryelon-musk--x

Making the Discrete Continuous: Synthetic RAW Augmentations for Fine-Grained Evaluation of Person Detection Performance in Low Light

arXiv:2605.22455v1 Announce Type: new Abstract: Real-world deployment of AI vision models is both fueled and limited by the data available for training and testing. Real datasets are sparse and uneven

safetyarxiv-cs-cv

Managing and monitoring agents will require us to rethink infrastructure since most systems were not designed to support agent scale. Very c…

Managing and monitoring agents will require us to rethink infrastructure since most systems were not designed to support agent scale. Very cool to see how @LangChain leveraged @SpiralDB and other tool

agentsharrison-chase--x

MAP4TS: A Multi-Aspect Prompting Framework for Time-Series Forecasting with Large Language Models

arXiv:2510.23090v2 Announce Type: replace Abstract: Recent advances have investigated the use of pretrained large language models (LLMs) for time-series forecasting by aligning numerical inputs with L

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis

arXiv:2605.21804v1 Announce Type: cross Abstract: Field-scale crop maps support supply-chain forecasting and policy, yet statewide crop identification still often depends on retrospective surveys or r

safetyarxiv-cs-cv

Marketer that claimed it could tap devices for ad targeting will pay $880K settlement

CMG and two smaller marketing companies (MindSift LLC and 1010 Digital Works LLC) misled customers by advertising an AI-powered 'Active Listening' service that claimed to use snippets from smart home

industryars-technica

MARS: Modular Agent with Reflective Search for Automated AI Research

arXiv:2602.02660v3 Announce Type: replace Abstract: A critical bottleneck in automating AI research is the execution of complex machine learning engineering (MLE) tasks. MLE differs from general softw

agentsarxiv-cs-ai

MaSC: A Masked Similarity Metric for Evaluating Concept-Driven Generation

arXiv:2605.22469v1 Announce Type: new Abstract: Evaluating single-concept personalization in text-to-image diffusion requires measuring both concept preservation, which captures identity fidelity to a

Matching with Deliberation: Test-Time Evolutionary Hierarchical Multi-Agents for Zero-Shot Compositional Image Retrieval

arXiv:2605.22478v1 Announce Type: new Abstract: Zero-Shot Compositional Image Retrieval (ZS-CIR) requires both preserving the visual continuity of the reference image and faithfully executing the sema

MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Tasks

arXiv:2605.21917v1 Announce Type: new Abstract: Training Vision Language Models (VLMs) for video event reasoning requires high-quality structured annotations capturing not only what happened, but when

Hardware

Mega AI IPOs incoming, Google’s agentic blitz and Nvidia’s next big business

Now we know for sure: This will be the year of monster initial public offerings. Elon Musk’s SpaceX filed for an IPO this week, aiming to raise a record $80 billion or more, and OpenAI was expected to

hardwaresiliconangle

Memo: Yusuf Mehdi, a 35-year Microsoft veteran who has been its consumer chief marketing officer since 2023, will leave the company after the next fiscal year (Todd Bishop/GeekWire)

Todd Bishop / GeekWire: Memo: Yusuf Mehdi, a 35-year Microsoft veteran who has been its consumer chief marketing officer since 2023, will leave the company after the next fiscal year — Yusuf Mehdi, on

Meta, Broadcom, Applied Materials, GlobalFoundries, and Synopsys launch a $125M 'Semiconductor Hub' at UCLA to advance AI chip research and more (CJ Haddad/CNBC)

CJ Haddad / CNBC: Meta, Broadcom, Applied Materials, GlobalFoundries, and Synopsys launch a 125M “Semiconductor Hub” at UCLA to advance AI chip research and more — Broadcom, Meta, Applied Materials, G

Meta releases Forum, a Reddit-like standalone app for Facebook Groups, with a feed showing Group conversations and an AI-powered 'Ask' feature, on iOS (Mariella Moon/Engadget)

Mariella Moon / Engadget: Meta releases Forum, a Reddit-like standalone app for Facebook Groups, with a feed showing Group conversations and an AI-powered “Ask” feature, on iOS — It's a new dedicated

Mind the Gaps: Multi-Robot Feedback-Driven Ergodic Coverage in Unknown Environments

arXiv:2605.21719v1 Announce Type: new Abstract: In this work, we address the problem of multi-robot adaptive coverage, where teams of robots perform dynamic sampling by continuously adjusting their po

researcharxiv-cs-ro

MLLMs Know When Before Speaking: Revealing and Recovering Temporal Grounding via Attention Cues

arXiv:2605.21954v1 Announce Type: new Abstract: Video temporal grounding (VTG), which localizes the start and end times of a queried event in an untrimmed video, is a key test of whether multimodal la

MM-Conv: A Multimodal Dataset and Benchmark for Context-Aware Grounding in 3D Dialogue

arXiv:2605.21796v1 Announce Type: cross Abstract: Grounding language in the physical world requires AI systems to interpret references that emerge dynamically during conversation. While current vision

Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook

arXiv:2605.20442v1 Announce Type: cross Abstract: Generative AI systems are increasingly deployed as interactive agents in online environments, such as a social network called Moltbook. In Moltbook, l

safetyarxiv-cs-ai

Modeling Pathology-Like Behavioral Patterns in Language Models Through Behavioral Fine-Tuning

arXiv:2605.22356v1 Announce Type: new Abstract: Large language models are increasingly used as computational tools for modeling human-like behavior. We introduce a behavioral induction framework that

safetyarxiv-cs-cl

Applications

Moment-Reenacting: Inverse Motion Degradation with Cross-shutter Guidance

arXiv:2605.22423v1 Announce Type: new Abstract: Motion degradation, manifested as blur in global shutter (GS) images or rolling shutter (RS) distortion in RS counterparts, remains a fundamental challe

applicationsarxiv-cs-cv

Moral Semantics Survive Machine Translation: Cross-Lingual Evidence from Moral Foundations Corpora

arXiv:2605.22660v1 Announce Type: new Abstract: Moral language is subtle and culturally variable, making it difficult to translate faithfully across languages. Idiomatic expressions, slang, and cultur

safetyarxiv-cs-cl

More Context, Larger Models, or Moral Knowledge? A Systematic Study of Schwartz Value Detection in Political Texts

arXiv:2605.22641v1 Announce Type: new Abstract: Detecting Schwartz values in political text is difficult because implicit cues often depend on surrounding arguments and fine-grained distinctions betwe

researcharxiv-cs-cl

Tools

more here https://www.latent.space/p/ainews-new-ai-infra-unicorns-exa

This post from Swyx likely discusses emerging AI infrastructure companies that have recently achieved unicorn status (valued at $1B+), covering new players disrupting the AI stack beyond major cloud p

toolsswyx--x