All entries

Look Before You Leap: Autonomous Exploration for LLM Agents

arXiv:2605.16143v1 Announce Type: new Abstract: Large language model based agents often fail in unfamiliar environments due to premature exploitation: a tendency to act on prior knowledge before acqui

agentsarxiv-cs-ai

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification

DGX agent

arXiv:2605.16048v1 Announce Type: cross Abstract: State Space Models (SSMs) are inherently recurrent along the sequence dimension, yet depth-recurrence - reusing the same block repeatedly across layer

model-releasesarxiv-cs-ai

18 May 2026

lots of good things in 0.6 release of deepagents! great write up by sydney

The post discusses positive features and improvements included in version 0.6 of DeepAgents, with Harrison Chase praising a write-up by Sydney that explains these updates. This likely covers new capab

agentsharrison-chase--x

LPDS: Evaluating LLM Robustness Through Logic-Preserving Difficulty Scaling

arXiv:2605.15393v1 Announce Type: new Abstract: As large language models (LLMs) are increasingly deployed to perform tasks with minimal human oversight, it is crucial that these models operate robustl

researcharxiv-cs-lg

LRCP: Low-Rank Compressibility Guided Visual Token Pruning for Efficient LVLMs

arXiv:2605.15621v1 Announce Type: new Abstract: Large vision-language models (LVLMs) achieve strong multimodal understanding, but their inference cost grows rapidly with the number of visual tokens, e

LUIVITON: Learned Universal Interoperable VIrtual Try-ON

arXiv:2509.05030v2 Announce Type: replace Abstract: To enable large-scale reuse of real-world 3D assets, where garments and characters rarely share skeletons, templates, or dense correspondences, we p

MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models

arXiv:2605.16179v1 Announce Type: new Abstract: Agricultural landscape segmentation in the Global South is challenging as it is characterized by fragmented plots, high intra-class variance, and a scar

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement

arXiv:2605.15416v1 Announce Type: cross Abstract: Jung et al. (2025) introduce a hypothesis testing framework for guaranteeing agreement between large language models (LLMs) and human judgments, relyi

Martingale Neural Operators: Learning Stochastic Marginals via Doob-Meyer Factorization

arXiv:2605.15806v1 Announce Type: new Abstract: Neural operators excel as deterministic surrogates, but inevitably collapse to the conditional mean when applied to stochastic PDEs, discarding the vari

researcharxiv-cs-lg

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation

arXiv:2605.15231v1 Announce Type: cross Abstract: Nonlinear finite element crash simulations are accurate but computationally expensive, limiting their use in iterative design optimisation. Machine-le

@masondrxy and @Vtrivedy10 are doing an awesome push on harness profiles @huntlovell doing cool stuff w code interpreter / REPL @bromann lea…

@masondrxy and @Vtrivedy10 are doing an awesome push on harness profiles @huntlovell doing cool stuff w code interpreter / REPL @bromann leading the charge on streaming our OSS team is stacked! lots o

agentsharrison-chase--x

MaTe: Images Are All You Need for Material Transfer via Diffusion Transformer

arXiv:2605.15660v1 Announce Type: new Abstract: Recent diffusion-based methods for material transfer rely on image fine-tuning or complex architectures with assistive networks, but face challenges inc

MaxSketch: Robust Distinct Counting in Streams via Random Projections

arXiv:2605.15571v1 Announce Type: cross Abstract: Estimating the number of distinct elements in a data stream is well understood when repeated elements are identical. In modern settings, however, obse

researcharxiv-cs-lg

maybe you can’t just tack statefulness onto an agent, you have to figure out how to represent the agent as a state

This post explores the architectural challenge of implementing state management in AI agents, arguing that statefulness cannot simply be added as an afterthought but requires fundamental redesign of h

agentsyohei-nakajima--x

Measuring Maximum Activations in Open Large Language Models

model-releasesarxiv-cs-cl

arXiv:2605.15572v1 Announce Type: new Abstract: The dynamic range of activations is a first-order constraint for low-bit quantization, activation scaling, and stable LLM inference. Prior work characte

Mecha-nudges for Machines

arXiv:2603.23433v2 Announce Type: replace Abstract: AI agents are becoming active decision-makers on the Internet. As they make decisions in the same environments as humans, the environments themselve

agentsarxiv-cs-ai

Applications

Metropolis-Scale Road Network Datasets for Fine-Grained Urban Traffic Modeling

arXiv:2510.02278v2 Announce Type: replace Abstract: Modeling traffic dynamics is a critical challenge for urban computing, with applications from real-time traffic management to infrastructure plannin

applicationsarxiv-cs-lg

MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models

model-releasesarxiv-cs-cl

arXiv:2605.15589v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used in the mental health domain, yet it remains unclear how well they capture related biomedical knowledg

MI-CXR: A Benchmark for Longitudinal Reasoning over Multi-Interval Chest X-rays

arXiv:2605.15574v1 Announce Type: new Abstract: Longitudinal chest X-ray (CXR) interpretation requires reasoning over disease evolution across multiple patient visits, yet most existing medical VQA be

Microsoft says it's retiring Teams' Together Mode, debuted in 2020, and plans to simplify meeting layouts and focus on video quality, stability, and performance (Terrence O'Brien/The Verge)

Terrence O'Brien / The Verge: Microsoft says it's retiring Teams' Together Mode, debuted in 2020, and plans to simplify meeting layouts and focus on video quality, stability, and performance — The com

Local Ai

MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement

arXiv:2605.16081v1 Announce Type: cross Abstract: The paradigm of learning from automatic annotations driven by pre-trained experts and Foundation Models dominates data-hungry applications. However, i

local-aiarxiv-cs-cv

Mind Dreamer: Untethering Imagination via Active Latent Intervention on Latent Manifolds

arXiv:2605.16030v1 Announce Type: new Abstract: Model-Based Reinforcement Learning (MBRL) leverages latent imagination for sample efficiency, yet remains constrained by Historical Tethering: imaginati

safetyarxiv-cs-lg

Mind the Motions: Benchmarking Theory-of-Mind in Everyday Body Language

arXiv:2511.15887v2 Announce Type: replace Abstract: Our ability to interpret others' mental states through nonverbal cues (NVCs) is fundamental to our survival and social cohesion. While existing Theo

researcharxiv-cs-cl

Minerva-Ego: Spatiotemporal Hints for Egocentric Video Understanding

arXiv:2605.15342v1 Announce Type: new Abstract: Video reasoning models are a core component of egocentric and embodied agents. However, standard benchmarks for assessing models provide only evaluation

Missing-Data-Induced Phase Transitions in Spectral PLS for Multimodal Learning

arXiv:2601.21294v2 Announce Type: replace Abstract: Partial Least Squares (PLS) learns shared structure from paired data via the top singular vectors of the empirical cross-covariance (PLS-SVD), but m

safetyarxiv-cs-lg

Misspecified Explore-then-Exploit Leads to Supra-Competitive Prices

arXiv:2605.16064v1 Announce Type: cross Abstract: We study whether simple algorithmic pricing systems can systematically produce collusive-like prices in multi-firm markets. We consider firms using an

Modeling Music as a Time-Frequency Image: A 2D Tokenizer for Music Generation

arXiv:2605.15831v1 Announce Type: cross Abstract: Autoregressive music generation depends strongly on the audio tokenizer. Existing high-fidelity codecs often use residual multi-codebook quantization,

Monotone and Separable Set Functions: Characterizations and Neural Models

arXiv:2510.23634v3 Announce Type: replace-cross Abstract: Motivated by applications for set containment problems, we consider the following fundamental problem: can we design set-to-vector functions s

safetyarxiv-cs-ai

Moonlit stroll by Grok Imagine

'Moonlit Stroll by Grok Imagine' appears to be an AI-generated image created using xAI's Grok image generation model, shared via X (formerly Twitter). The post likely showcases Grok's capabilities in

industryelon-musk--x

MorphoHELM: A Comprehensive Benchmark for Evaluating Representations for Microscopy-Based Morphology Assays

arXiv:2605.15383v1 Announce Type: new Abstract: Microscopy images contain rich information about how cells respond to perturbations, making them essential to applications like drug screening. To quant

Applications

Most prophetic tweet of all time (2 months post ChatGPT release). And you can safely repost it every day and it will still be prophetic for …

applicationsethan-mollick--x

Most prophetic tweet of all time (2 months post ChatGPT release). And you can safely repost it every day and it will still be prophetic for the future. This is the least the world will care about AI.

Local Ai

MR2-ByteTrack: CNN and Transformer-based Video Object Detection for AI-augmented Embedded Vision Sensor Nodes

arXiv:2605.15423v1 Announce Type: cross Abstract: Modern smart vision sensors need on-device intelligence to process video streams, as cloud computing is often impractical due to bandwidth, latency, a

local-aiarxiv-cs-ai

mRadNet: A Compact Radar Object Detector with MetaFormer

arXiv:2509.16223v3 Announce Type: replace-cross Abstract: Frequency-modulated continuous wave radars have gained increasing popularity in the automotive industry. Their robustness against adverse weat

researcharxiv-cs-cv

Multi-Fidelity Flow Matching: Cascaded Refinement of PDE Solutions

model-releasesarxiv-cs-lg

arXiv:2605.16118v1 Announce Type: new Abstract: The source distribution in conditional flow matching is a design parameter that can be calibrated to data, not a default isotropic prior. We exploit thi

Local Ai

Multi-Level Contextual Token Relation Modeling for Machine-Generated Text Detection

arXiv:2605.16107v1 Announce Type: new Abstract: Machine-generated texts (MGTs) pose risks such as disinformation and phishing, underscoring the need for reliable detection. Metric-based methods, which

local-aiarxiv-cs-cl

Multi-level Self-supervised Pretraining on Compositional Hierarchical Graph for Molecular Property Prediction

arXiv:2605.16088v1 Announce Type: cross Abstract: Self-supervised pretraining on molecular graphs has emerged as a promising approach for molecular property prediction, yet most existing methods opera

Multi-Probe Zero Collision Hash (MPZCH): Mitigating Embedding Collisions and Enhancing Model Freshness in Large-Scale Recommenders

model-releasesarxiv-cs-lg

arXiv:2602.17050v3 Announce Type: replace Abstract: Embedding tables are critical components of large-scale recommendation systems, facilitating the efficient mapping of high-cardinality categorical f

Multimodal Object Detection Under Sparse Forest-Canopy Occlusion

arXiv:2605.15326v1 Announce Type: new Abstract: Reliable detection of humans beneath forest canopy remains a difficult remote-sensing challenge due to sparse, structured, and viewpoint-dependent occlu

researcharxiv-cs-cv

Multiplayer AI startup Dust raises $40M to help enterprises move beyond isolated AI assistants

Dust, an agentic artificial intelligence startup that’s trying to push enterprise workers away from isolated chatbots into a more collaborative, multiplayer ecosystem, said today it has raised 40 mill

agentssiliconangle

Musk v. Altman: Elon Musk says the judge and jury 'never actually ruled on the merits of the case, just on a calendar technicality' and he will file an appeal (Elon Musk/@elonmusk)

Elon Musk / @elonmusk: Musk v. Altman: Elon Musk says the judge and jury “never actually ruled on the merits of the case, just on a calendar technicality” and he will file an appeal — Regarding the Op

Musk v. Altman jury unanimously rejects Elon Musk's claims against Sam Altman; the judge dismisses two additional claims citing the statute of limitation (CNBC)

CNBC: Musk v. Altman jury unanimously rejects Elon Musk's claims against Sam Altman; the judge dismisses two additional claims citing the statute of limitation — After less than two hours of deliberat

Musk v. Altman proved that AI is led by the wrong people

The tech trial of the year, Musk v. Altman, was ultimately a fight for control. Elon Musk argued that Sam Altman, with whom he helped found the now-massive company OpenAI, shouldn't direct the future

industrythe-verge-ai

MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion

model-releasesarxiv-cs-lg

arXiv:2605.15235v1 Announce Type: new Abstract: Multimodal physiological data powers clinical AI systems from intensive care units to wearable devices, but sensors routinely fail in practice. Two fail

Tools

My AI Engineer Singapore journey: Most exciting: First time traveling abroad after joining http://Z.ai, and my very first English talk on st…

My AI Engineer Singapore journey: Most exciting: First time traveling abroad after joining http://Z.ai, and my very first English talk on stage. Most challenging: Spoke in a three-speaker session alon

toolsswyx--x

My number of followers on X has been growing much faster than on other social media these days. Great job @nikitabier and team!

Clem Delangue reports that his follower count on X (formerly Twitter) is growing faster than on other social media platforms, and credits @nikitabier and their team for this success. The post suggests

industryclem-delangue--x

MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence

model-releasesarxiv-cs-ro

arXiv:2605.15650v1 Announce Type: new Abstract: Athletic performance represents the pinnacle of human motor intelligence, demanding rapid choices, precise control, agility, and coordinated physical ex

Nasdaq-listed Bitcoin Depot, North America's largest bitcoin ATM operator, files for bankruptcy, blaming 'increasingly stringent compliance obligations' (Omkar Godbole/CoinDesk)

Omkar Godbole / CoinDesk: Nasdaq-listed Bitcoin Depot, North America's largest bitcoin ATM operator, files for bankruptcy, blaming “increasingly stringent compliance obligations” — Bitcoin Depot, the

Navigating Potholes with Geometry-Aware Sharpness Minimization

model-releasesarxiv-cs-ai

arXiv:2605.16134v1 Announce Type: cross Abstract: Sharpness-aware minimization (SAM) encourages flat minima by perturbing parameters along directions of high loss curvature, but treats all parameter d