All entries

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

arXiv:2605.08738v1 Announce Type: cross Abstract: Structured pruning and knowledge distillation (KD) are typical techniques for compressing large language models, but it remains unclear how they shoul

researcharxiv-cs-ai

Content type

All Blog X Post Paper YouTube Reddit GitHub

SlimSpec: Low-Rank Draft LM-Head for Accelerated Speculative Decoding

DGX agent

arXiv:2605.10453v1 Announce Type: cross Abstract: Speculative decoding speeds up autoregressive generation in Large Language Models (LLMs) through a two-step procedure, where a lightweight draft model

researcharxiv-cs-cl

12 May 2026

Agents

Slipstream: Trajectory-Grounded Compaction Validation for Long-Horizon Agents

arXiv:2605.08580v1 Announce Type: cross Abstract: To cope with the large contexts that long-horizon LLM agents produce, modern frameworks increasingly rely on compaction -- invoking an LLM to rewrite

agentsarxiv-cs-ai

Slum Detection and Density Mapping with AlphaEarth Foundations: A Representation Learning Evaluation Across 12 Global Cities

arXiv:2605.10029v1 Announce Type: new Abstract: Pixel-level slum mapping has long been constrained by limited cross-city generalisation, the absence of continuous density estimation, and weak global c

Local Ai

Smart Railway Obstruction Detection System using IoT and Computer Vision

arXiv:2605.08246v1 Announce Type: new Abstract: Railway track intrusions pose a critical safety challenge for Indian Railways, encompassing wildlife incursions and deliberate malicious obstructions. T

local-aiarxiv-cs-cv

SmartEval: A Benchmark for Evaluating LLM-Generated Smart Contracts from Natural Language Specifications

model-releasesarxiv-cs-ai

arXiv:2605.09610v1 Announce Type: cross Abstract: We introduce SmartEval, a benchmark for systematically evaluating the quality of Solidity smart contracts generated by large language models (LLMs) fr

SMIXAE: Towards Unsupervised Manifold Discovery in Language Models

arXiv:2605.09224v1 Announce Type: new Abstract: Sparse autoencoders (SAEs) have been used widely to decompose and interpret neural network activations, especially those of transformer language models.

SMOG: Scalable Meta-Learning for Multi-Objective Bayesian Optimization

arXiv:2601.22131v2 Announce Type: replace Abstract: Multi-objective optimization aims to solve problems with competing objectives. Evaluating such problems is often slow or expensive, limiting the bud

researcharxiv-cs-lg

Smoothing Out the Edges: Continuous-Time Estimation with Gaussian Process Motion Priors on Factor Graphs

arXiv:2605.09073v1 Announce Type: new Abstract: Continuous-time state estimation is gaining in popularity due to its abilities to provide smooth solutions, handle asynchronous sensors, and interpolate

researcharxiv-cs-ro

SnareNet: Flexible Repair Layers for Neural Networks with Hard Constraints

arXiv:2602.09317v2 Announce Type: replace-cross Abstract: Neural networks are increasingly used as fast surrogate models across various domains, but unconstrained predictions can violate physical, ope

safetyarxiv-cs-ai

So basically Anthropic’s estimated valuation went up half a trillion dollars in a couple weeks (then back down a bit) on hype. Small wonder …

So basically Anthropic’s estimated valuation went up half a trillion dollars in a couple weeks (then back down a bit) on hype. Small wonder that companies like OpenAI, Anthropic and Tesla keep hyping

safetygary-marcus--x

SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy

model-releasesarxiv-cs-cv

arXiv:2605.09598v1 Announce Type: new Abstract: Vision-language models (VLMs) have recently shown strong potential in soccer video understanding. However, given the high complexity of soccer videos du

Social Determinants of Health and Fentanyl Overdose Mortality Across US Counties: An XGBoost and SHAP Analysis Identifying Silent Risk Counties and Treatment Deserts

arXiv:2605.08230v1 Announce Type: new Abstract: Background: Fentanyl overdose deaths are still increasing across the U.S. We do not fully understand which county-level social and structural conditions

researcharxiv-cs-lg

Applications

SocialDirector: Training-Free Social Interaction Control for Multi-Person Video Generation

arXiv:2605.10079v1 Announce Type: new Abstract: Video generation has advanced rapidly, producing photorealistic videos from text or image prompts. Meanwhile, film production and social robotics increa

applicationsarxiv-cs-cv

Agents

SoK: A Systematic Bidirectional Literature Review of AI & DLT Convergence

arXiv:2605.10515v1 Announce Type: cross Abstract: The integration of Artificial Intelligence (AI) with Distributed Ledger Technology (DLT) has become a growing research area, yet contributions tend to

agentsarxiv-cs-ai

Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs

model-releasesarxiv-cs-cl

arXiv:2605.09063v1 Announce Type: new Abstract: Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challengi

Tutorials

Sound on! This is pretty cool :D

tutorialsjeremy-howard--x

Sound on! This is pretty cool :D SolveIt is already an amazing environment for learning and exploring any topic, or for development/writing etc. But add in real-time conversational interaction too jus

Source: Anthropic is in advanced talks to acquire New York-based Stainless, which helps developers generate SDKs from APIs, for at least $300M (The Information)

The Information: Source: Anthropic is in advanced talks to acquire New York-based Stainless, which helps developers generate SDKs from APIs, for at least 300M — Anthropic is in advanced talks to acqui

Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection

model-releasesarxiv-cs-cl

arXiv:2605.08583v1 Announce Type: new Abstract: Large language models are increasingly used in scientific writing, yet they can fabricate citation-shaped references that appear plausible but fail bibl

Sources: Anthropic is in talks to raise between 30B and 50B in a funding round that would value it at up to $950B (Mike Isaac/New York Times)

Mike Isaac / New York Times: Sources: Anthropic is in talks to raise between 30B and 50B in a funding round that would value it at up to 950B — The start-up, which recently released a powerful A.I. mo

model-releasestechmeme

Sources: Apple plans to make the Camera app fully customizable in iOS 27, along with noticeable design changes across Siri, Safari, Weather, and more (Mark Gurman/Bloomberg)

Mark Gurman / Bloomberg: Sources: Apple plans to make the Camera app fully customizable in iOS 27, along with noticeable design changes across Siri, Safari, Weather, and more — Apple Inc. is planning

Sources: Google is in talks with SpaceX and other companies for a rocket launch deal, as Google expands its own efforts to put orbital data centers in space (Wall Street Journal)

Wall Street Journal: Sources: Google is in talks with SpaceX and other companies for a rocket launch deal, as Google expands its own efforts to put orbital data centers in space — A deal between the t

Hardware

Sources: Jensen Huang was left out of President Trump's China trip to avoid unwanted scrutiny and awkward conversations about the sale of Nvidia chips to China (Semafor)

Semafor: Sources: Jensen Huang was left out of President Trump's China trip to avoid unwanted scrutiny and awkward conversations about the sale of Nvidia chips to China — THE SCOOP — The Trump adminis

hardwaretechmeme

Sources: Sam Altman recently discussed launching an AI compute company that is majority-owned by OpenAI, similar to Stargate's original data center initiative (Alex Heath/Sources)

Alex Heath / Sources: Sources: Sam Altman recently discussed launching an AI compute company that is majority-owned by OpenAI, similar to Stargate's original data center initiative — Sources say Sam A

Sources: some Amazon employees are using in-house OpenClaw-like tool MeshClaw for unnecessary tasks to inflate AI token use after Amazon set weekly AI targets (Financial Times)

Financial Times: Sources: some Amazon employees are using in-house OpenClaw-like tool MeshClaw for unnecessary tasks to inflate AI token use after Amazon set weekly AI targets — In-house MeshClaw tool

Sources: Wispr Flow developer Wispr AI is in talks to raise a round that could more than double its valuation to 2B; source: the round is set to total ~260M (Bloomberg)

Bloomberg: Sources: Wispr Flow developer Wispr AI is in talks to raise a round that could more than double its valuation to 2B; source: the round is set to total ~260M — Wispr AI Inc., the developer b

SpaceMind++: Toward Allocentric Cognitive Maps for Spatially Grounded Video MLLMs

arXiv:2605.09449v1 Announce Type: new Abstract: Recent multimodal large language models (MLLMs) have made remarkable progress in visual understanding and language-based reasoning, yet they lack a pers

SpaceX has just received FCC approval to acquire ~65 MHz of nationwide spectrum from EchoStar for the company's next-gen direct-to-device @S…

SpaceX has just received FCC approval to acquire ~65 MHz of nationwide spectrum from EchoStar for the company's next-gen direct-to-device @Starlink Mobile service. The FCC says the deal gives SpaceX “

industryelon-musk--x

SpaceX is considering several locations domestically and internationally to build the world’s most advanced spaceports!

SpaceX is considering several locations domestically and internationally to build the world’s most advanced spaceports! It’s no secret that we intend to launch Starship a lot, targeting thousands of f

industryelon-musk--x

SpaceX is officially my fav art account now

model-releaseselon-musk--x

SpaceX's official social media account is being praised for its engaging visual content and aesthetic presentation, earning recognition as a favorite among followers for its artistic approach to shari

Sparse Layers are Critical to Scaling Looped Language Models

arXiv:2605.09165v1 Announce Type: cross Abstract: Looped language models repeat a set of transformer layers through depth, reducing memory costs and providing natural early-exit points at loop boundar

researcharxiv-cs-cl

Tutorials

Sparse Reward Subsystem in Large Language Models

arXiv:2602.00986v2 Announce Type: replace Abstract: Recent studies show that LLM hidden states encode reward-related information, such as answer correctness and model confidence. However, existing app

tutorialsarxiv-cs-cl

Sparsity Hurts: Simple Linear Adapter Can Boost Generalized Category Discovery

arXiv:2605.08183v1 Announce Type: new Abstract: Generalized Category Discovery (GCD) seeks to identify novel categories from unlabeled data while retaining the classification ability of seen categorie

safetyarxiv-cs-cv

Sparsity Moves Computation: How FFN Architecture Reshapes Attention in Small Transformers

model-releasesarxiv-cs-ai

arXiv:2605.09403v1 Announce Type: cross Abstract: Architectural choices inside the Transformer feedforward network (FFN) block do not merely affect the block itself; they reshape the computations lear

Spatial-Frequency Gated Swin Transformer for Remote Sensing Single-Image Super-Resolution

arXiv:2605.09687v1 Announce Type: new Abstract: Remote Sensing (RS) single-image super-resolution aims to reconstruct high-resolution imagery from low-resolution observations while preserving fine spa

Spatial Priming Outperforms Semantic Prompting: A Grid-Based Approach to Improving LLM Accuracy on Chart Data Extraction

arXiv:2605.08220v1 Announce Type: new Abstract: The automated extraction of data from scientific charts is a critical task for large-scale literature analysis. While multimodal Large Language Models (

researcharxiv-cs-ai

SpatiaLab: Can Vision-Language Models Perform Spatial Reasoning in the Wild?

model-releasesarxiv-cs-cl

arXiv:2602.03916v3 Announce Type: replace-cross Abstract: Spatial reasoning is a fundamental aspect of human cognition, yet it remains a major challenge for contemporary vision-language models (VLMs).

SPDEBench: An Extensive Benchmark for Learning Stochastic PDEs

arXiv:2505.18511v2 Announce Type: replace Abstract: Stochastic Partial Differential Equations (SPDEs) driven by random noise play a central role in modeling physical processes with rough spatio-tempor

speaks for itself

speaks for itself Musk's lawyer: 'Are you completely trustworthy?' Altman: 'I believe so.' Musk's lawyer: 'But, you know, you don't know whether you're completely trustworthy.' Altman: 'I'll just amen

safetygary-marcus--x

Applications

SPECTRA-Net: Scalable Pipeline for Explainable Cross-domain Tensor Representations for AI-generated Images Detection

arXiv:2605.08226v1 Announce Type: new Abstract: The rapid proliferation of AI-generated images (AIGI) presents a significant challenge to digital information integrity. While human observers and exist

applicationsarxiv-cs-cv

Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse

model-releasesarxiv-cs-ai

arXiv:2601.11042v2 Announce Type: replace-cross Abstract: Sequential knowledge editing in large language models often causes catastrophic collapse of the model's general abilities, especially for para

Spectral Condition for muP under Width-Depth Scaling

arXiv:2603.00541v2 Announce Type: replace Abstract: Generative foundation models are increasingly scaled in both width and depth, posing significant challenges for stable feature learning and reliable

researcharxiv-cs-lg

Spectral Transformer Neural Processes

arXiv:2605.09498v1 Announce Type: cross Abstract: Time series, spatial data, and images are natural applications of Neural Processes. However, when such data exhibit strong periodicity and quasi-perio

safetyarxiv-cs-ai

SpectraLLM: Uncovering the Ability of LLMs for Molecular Structure Elucidation from Multi-Spectral Data

arXiv:2508.08441v3 Announce Type: replace-cross Abstract: Automated molecular structure elucidation remains challenging, as existing approaches often depend on pre-compiled databases or restrict thems

Spectrally-Guided Diffusion Noise Schedules

arXiv:2603.19222v2 Announce Type: replace Abstract: Denoising diffusion models are widely used for high-quality image and video generation. Their performance depends on noise schedules, which define t

Applications

SPECTRE: Hybrid Ordinary-Parallel Speculative Serving for Resource-Efficient LLM Inference

arXiv:2605.08151v1 Announce Type: cross Abstract: LLM serving platforms are increasingly deployed as multi-model cloud systems, where user demand is often long-tailed: a few popular large models recei

applicationsarxiv-cs-ai

Speech-based Psychological Crisis Assessment using LLMs

arXiv:2605.10027v1 Announce Type: cross Abstract: Psychological support hotlines provide critical support for individuals experiencing mental health emergencies, yet current assessments largely rely o

researcharxiv-cs-ai

Spherical Boltzmann machines: a solvable theory of learning and generation in energy-based models

arXiv:2605.09031v1 Announce Type: new Abstract: Energy-based models (EBMs) are flexible generative architectures inspired by statistical physics, but their learning and generative properties remain po