All entries

Self-Reflective APIs: Structure Beats Verbosity for AI Agent Recovery

arXiv:2606.05037v1 Announce Type: cross Abstract: When an AI agent calls an API and hits a validation error, it needs more than what went wrong -- it needs what to do next. A self-reflective API retur

Sem-NaVAE: Semantically-Guided Outdoor Mapless Navigation via Generative Trajectory Priors

DGX agent

arXiv:2602.01429v2 Announce Type: replace Abstract: This work presents a mapless navigation approach for outdoor applications. It combines the exploratory capacity of conditional variational autoencod

applicationsarxiv-cs-ro

4 Jun 2026

Semantic Constraint Synthesis for Adaptive Trajectory Optimization via Large Language Models

arXiv:2606.04123v1 Announce Type: cross Abstract: Trajectory optimization is a critical component for enabling safe and reliable autonomous operations in space exploration. As space missions increase

Local Ai

SemBlock: Semantic Boundary Dynamic Blocks for Diffusion LLMs

arXiv:2606.04964v1 Announce Type: new Abstract: Diffusion language models (DLMs) generate text through iterative denoising, and blockwise decoding improves their practicality by committing tokens in l

local-aiarxiv-cs-cl

Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model

arXiv:2512.21917v3 Announce Type: replace-cross Abstract: Policy alignment to preference data typically assumes a known link function between observed preferences and latent rewards (e.g., Bradley-Ter

SePO: Self-Evolving Prompt Agent for System Prompt Optimization

arXiv:2606.04465v1 Announce Type: cross Abstract: System prompt optimization improves agent behavior without modifying the underlying model, yielding human-readable, model-agnostic instructions. Exist

Sequential Data Poisoning in LLM Post-Training

arXiv:2606.04929v1 Announce Type: new Abstract: LLM post-training proceeds through multiple stages, e.g., supervised fine-tuning (SFT) followed by reinforcement learning from human feedback (RLHF) or

SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning

arXiv:2606.04493v1 Announce Type: cross Abstract: Correspondence pruning aims to identify inliers from an initial set of correspondences. Most existing Graph Neural Network (GNN)-based methods rely on

SFMP: Fine-Grained, Hardware-Friendly and Search-Free Mixed-Precision Quantization for Large Language Models

arXiv:2602.01027v2 Announce Type: replace Abstract: Mixed-precision quantization is a promising approach for compressing large language models under tight memory budgets. However, existing mixed-preci

Shared my first trace from @NanoClaw_AI to @huggingface yesterday. Very cool! By default, all agents should store their traces on HF (in pri…

Shared my first trace from @NanoClaw_AI to @huggingface yesterday. Very cool! By default, all agents should store their traces on HF (in private) so that you can keep a history of them, analyze them,.

industryclem-delangue--x

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models

arXiv:2606.05004v1 Announce Type: cross Abstract: With the widespread deployment of public large language models (LLMs) such as ChatGPT, protecting user prompt privacy has become an increasingly criti

ShareVerse: Multi-Agent Consistent Video Generation for Shared World Modeling

arXiv:2603.02697v2 Announce Type: replace-cross Abstract: This paper presents ShareVerse, a video generation framework enabling multi-agent shared world modeling, addressing the gap in existing works

SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability

arXiv:2601.19683v2 Announce Type: replace Abstract: Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Con

researcharxiv-cs-cv

Shifting the Breaking Point of Flow Matching for Multi-Instance Editing

model-releasesarxiv-cs-cv

arXiv:2602.08749v3 Announce Type: replace Abstract: Flow matching models have recently emerged as an efficient alternative to diffusion, especially for text-guided image generation and editing, offeri

shit is getting real

shit is getting real Sam Altman, Dario Amodei, Demis Hassabis and many others have signed a letter urging Congress to increase security on orders of synthetic nucleic acids - and the equipment needed

safetygary-marcus--x

Shortcomings and capacities of real-constrained neural networks in complex spaces

arXiv:2606.04390v1 Announce Type: new Abstract: We find the asymptotic ratio between the storage capacities when enforcing real pre-activations in a complex hypothesis class as opposed to complex ones

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

model-releasesarxiv-cs-ai

arXiv:2606.04833v1 Announce Type: cross Abstract: Initially developed for natural language processing, Transformer architectures and attention mechanisms are now central to a wide range of deep learni

Simplicial Embeddings Improve Sample Efficiency in Actor-Critic Agents

arXiv:2510.13704v2 Announce Type: replace-cross Abstract: Recent works have proposed accelerating the wall-clock training time of actor-critic methods via the use of large-scale environment paralleliz

Simulate, Reason, Decide: Scientific Reasoning with LLMs for Simulation-Driven Decision Making

arXiv:2606.04505v1 Announce Type: new Abstract: Scientific simulators are increasingly being integrated into LLM-driven systems for high-stakes simulation-driven decision-making. However, existing fra

Tools

Skill issue: Lessons from skilling up coding agents Getting agents to actually use Langfuse was a 'skill issue' — literally. Marc Klingen fr…

Skill issue: Lessons from skilling up coding agents Getting agents to actually use Langfuse was a 'skill issue' — literally. Marc Klingen from Clickhouse on teaching coding agents to use new tools, an

toolsswyx--x

SMAC-Talk: A Natural Language Extension of the StarCraft Multi-Agent Challenge for Large Language Models

model-releasesarxiv-cs-ai

arXiv:2606.04202v1 Announce Type: new Abstract: As LLMs become more widely deployed, they are increasingly expected to work alongside other AI agents rather than operating in isolation. Effective coor

SMADE-IE: Sparse Multi-Agent Framework with Evidence-Driven Debate for Zero-Shot Information Extraction

model-releasesarxiv-cs-cl

arXiv:2606.04691v1 Announce Type: new Abstract: Zero-shot information extraction (IE) with large language models (LLMs) has attracted increasing attention due to its flexibility in adapting to new sch

Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots

arXiv:2606.04503v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has greatly advanced large reasoning models (LRMs), but it requires timely training on a huge fu

Smart Transportation Without Neurons -- Fair Metro Network Expansion with Tabular Reinforcement Learning

arXiv:2606.04167v1 Announce Type: cross Abstract: We tackle the Metro Network Expansion Problem (MNEP), a subset of the Transport Network Design Problem (TNDP), which focuses on expanding metro system

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice

arXiv:2606.04155v1 Announce Type: cross Abstract: Social skills such as negotiation and leadership are crucial for personal and professional success in today's interconnected world. However, scalable

safetyarxiv-cs-cl

SoftPINCH: EMG-Driven Soft Exoskeleton Assistance for Finger Flexion and Grasping

arXiv:2606.04776v1 Announce Type: new Abstract: Surface electromyography (sEMG) provides a non-invasive interface for detecting hand-movement intention and controlling wearable assistive devices. Howe

researcharxiv-cs-ro

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization

arXiv:2505.11166v3 Announce Type: replace-cross Abstract: Despite advances in pretraining with extended context sizes, large language models (LLMs) still face challenges in effectively utilizing real-

Solving Zebra Puzzles Using Constraint-Guided Multi-Agent Systems

model-releasesarxiv-cs-cl

arXiv:2407.03956v3 Announce Type: replace-cross Abstract: Prior research has enhanced the ability of Large Language Models (LLMs) to solve logic puzzles using techniques such as chain-of-thought promp

Sometimes you need to start over. But that decision is hard. @llama_index had to make that call: they built one of the most popular AI frame…

Sometimes you need to start over. But that decision is hard. @llama_index had to make that call: they built one of the most popular AI frameworks in the world, but saw the agent harness and frontier l

agentsjerry-liu--x

Sources: Anthropic has embedded around half a dozen forward-deployed engineers within the NSA to help the agency deploy Mythos for offensive cyber operations (Financial Times)

Financial Times: Sources: Anthropic has embedded around half a dozen forward-deployed engineers within the NSA to help the agency deploy Mythos for offensive cyber operations — Arrangement comes as AI

model-releasestechmeme

Sources: Brian Chesky is starting a new AI lab and considering a focus on user interaction and design; he will remain Airbnb CEO and will not be the lab's CEO (Bloomberg)

Bloomberg: Sources: Brian Chesky is starting a new AI lab and considering a focus on user interaction and design; he will remain Airbnb CEO and will not be the lab's CEO — Airbnb Inc. Chief Executive

industrytechmeme

Sources: US officials have held talks with AI companies about the government acquiring shares; Sam Altman first pitched the concept directly to Trump in 2025 (NOTUS)

NOTUS: Sources: US officials have held talks with AI companies about the government acquiring shares; Sam Altman first pitched the concept directly to Trump in 2025 — Senior U.S. officials have held p

industrytechmeme

Southern Poverty Law Center is a criminal organization

Southern Poverty Law Center is a criminal organization 🚨READ IT The Justice Department just secured a superseding indictment against the Southern Poverty Law Center, and it reveals some new bombshells

industryelon-musk--x

S&P Dow Jones rejected proposals to expedite S&P 500 eligibility for mega-cap IPOs such as SpaceX, which remains ineligible until one year after going public (Isabelle Lee/Bloomberg)

Isabelle Lee / Bloomberg: S&P Dow Jones rejected proposals to expedite S&P 500 eligibility for mega-cap IPOs such as SpaceX, which remains ineligible until one year after going public — S&P Dow Jones

industrytechmeme

SpaceX

SpaceX is a private aerospace company founded by Elon Musk that designs and manufactures rockets and spacecraft for commercial and government missions, including cargo delivery to the International Sp

industryelon-musk--x

Tutorials

SpaceX hopes to raise $75B when world’s biggest-ever IPO lifts off next week

Elon Musk’s Space Exploration Technologies Corp. said today it’s hoping to raise a staggering 75 billion when it goes public later this month, setting the stage for what would be the largest stock mar

tutorialssiliconangle

Tutorials

SpaceX IPO info

SpaceX has not conducted a public IPO as of my last knowledge update (April 2024), and Elon Musk has historically stated the company remains private to focus on long-term goals like Mars colonization.

tutorialselon-musk--x

Applications

SpaceX’s literally destroyed the cost to orbit so much even you can afford the ticket to ride on it in the future - For decades, launch cost…

SpaceX’s literally destroyed the cost to orbit so much even you can afford the ticket to ride on it in the future - For decades, launch cost to low Earth orbit was roughly 18,500 per kg - Falcon 9 bro

applicationselon-musk--x

Hardware

SparDA: Sparse Decoupled Attention for Efficient Long-Context LLM Inference

arXiv:2606.04511v1 Announce Type: new Abstract: Sparse attention reduces compute and memory bandwidth for long-context LLM inference. However, two key challenges remain: (1) KV cache capacity still gr

hardwarearxiv-cs-cl

Applications

Sparse Bayesian Deep Functional Learning with Structured Region Selection

arXiv:2602.20651v3 Announce Type: replace Abstract: In modern applications such as ECG monitoring, neuroimaging, wearable sensing, and industrial equipment diagnostics, complex and continuously struct

applicationsarxiv-cs-lg

Tutorials

Sparse Mixture-of-Experts Reward Models Learn Interpretable and Specialized Experts for Personalized Preference Modeling

arXiv:2606.04284v1 Announce Type: cross Abstract: Preference modeling plays a central role in reinforcement learning from human feedback (RLHF), enabling large language models (LLMs) to align with hum

tutorialsarxiv-cs-ai

Spatial Artifact Coherence Determines Codec Robustness in Patch-Based rPPG

arXiv:2606.04198v1 Announce Type: new Abstract: Remote photoplethysmography (rPPG) achieves low heart-rate error on uncompressed benchmarks yet is deployed over compressed video channels in telehealth

researcharxiv-cs-cv

Spatial Transcriptomics as Images for Large-Scale Pretraining

arXiv:2603.13432v4 Announce Type: replace-cross Abstract: Spatial Transcriptomics (ST) profiles thousands of gene expression values at discrete spots with precise coordinates on tissue sections, prese

Spatially Grounded Concept Bottleneck Models via Part-Factorized Attention

arXiv:2606.04364v1 Announce Type: new Abstract: Concept bottleneck models (CBMs) predict a layer of human-named attributes before predicting a class, which makes their decisions auditable. On fine-gra

researcharxiv-cs-cv

Spectral Scaling Laws of Muon

arXiv:2606.04058v1 Announce Type: cross Abstract: Orthonormalized update rules have rapidly become a leading choice of optimizer for training large language models, with recent open-source state-of-th

Speculative Thinking: Enhancing Small-Model Reasoning with Large Model Guidance at Inference Time

model-releasesarxiv-cs-ai

arXiv:2504.12329v2 Announce Type: replace-cross Abstract: Recent advances leverage post-training to enhance model reasoning performance, which typically requires costly training pipelines and still su

SpliceBind: Isoform-Aware Prediction of Binding Pocket Druggability

arXiv:2606.04020v1 Announce Type: cross Abstract: Splice-mediated drug resistance occurs in up to 40% of patients on targeted kinase inhibitors, yet state-of-the-art druggability tools operate on sing

SPLIT-PINN: Separable Probability Learning Technique via Physics-Informed Neural Networks for High-Dimensional Probabilistic Modeling

model-releasesarxiv-cs-lg

arXiv:2606.04000v1 Announce Type: cross Abstract: We present a probabilistic modeling framework for incorporating small-scale spatial heterogeneity into macroscopic descriptions of material behavior f