All entries

arXiv:2605.15536v1 Announce Type: cross Abstract: Previous imitation learning policies predict future actions at every control step, whether in smooth motion phases or precise, contact-rich operation

safetyarxiv-cs-ai

Human

Content type

All Blog X Post Paper YouTube Reddit GitHub

Clear filters

SkyLink: A Large Vision-Language Model Driven Re-ranking Framework for Cross-View UAV geolocalization

DGX agent

arXiv:2603.08063v3 Announce Type: replace Abstract: Cross-view UAV geolocalization is fundamentally a challenging large-scale image retrieval task, aiming to determine the geographic coordinates of Un

model-releasesarxiv-cs-cv

18 May 2026

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning

arXiv:2512.15693v2 Announce Type: replace Abstract: The misuse of AI-driven video generation technologies has raised serious social concerns, highlighting the urgent need for reliable AI-generated vid

Safety

SLIP & ETHICS: Graduated Intervention for AI Emotional Companions

arXiv:2605.15915v1 Announce Type: cross Abstract: AI emotional companions face a safety-rapport paradox: restrictive safeguards can damage supportive alliance, while permissive systems risk user harm.

safetyarxiv-cs-ai

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models

arXiv:2602.01970v2 Announce Type: replace Abstract: Reinforcement learning enhances the reasoning capabilities of large language models but often involves high computational costs due to rollout-inten

researcharxiv-cs-ai

Tutorials

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution

arXiv:2605.15308v1 Announce Type: new Abstract: LLM-driven program evolution has emerged as a powerful tool for automated scientific discovery, yet existing frameworks offer no principled guide for de

tutorialsarxiv-cs-ai

SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory

model-releasesarxiv-cs-cl

arXiv:2605.15710v1 Announce Type: new Abstract: Existing benchmarks for multimodal memory reasoning largely evaluate systems within pre-assembled contexts, but under-evaluate whether agents can use ev

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation

arXiv:2505.18853v2 Announce Type: replace Abstract: Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging

researcharxiv-cs-cl

Applications

So would this be legal under the ruling: Set up a charity, raise $100m etc When setting it up say you may set up a for profit & raise billio…

applicationsemad-mostaque--x

So would this be legal under the ruling: Set up a charity, raise $100m etc When setting it up say you may set up a for profit & raise billions Three years later set up for profit with IP transferred f

Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models

arXiv:2605.15424v1 Announce Type: new Abstract: Human trajectory forecasting is crucial for safe navigation in crowded environments, requiring models that balance accuracy with computational efficienc

SOLAR: Self-supervised Joint Learning for Symmetric Multimodal Retrieval

arXiv:2605.15868v1 Announce Type: new Abstract: In this work, we address the critical yet underexplored challenge of symmetric multimodal-to-multimodal (MM2MM) retrieval, where queries and contexts ar

Agents

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution

arXiv:2605.15301v1 Announce Type: new Abstract: Large language models (LLMs) still struggle with the rigorous reasoning demands of hard competitive programming. While recent multi-agent frameworks att

agentsarxiv-cs-ai

Agents

some good discussions and experiments around stateful agents in the replies, but seems like we’re not quite there yet, as in we’re starting …

some good discussions and experiments around stateful agents in the replies, but seems like we’re not quite there yet, as in we’re starting to track memory and traces, but not quite agent capability a

agentsyohei-nakajima--x

Tools

some of us doing kaya toast breakfast here at 11am if u are still around https://maps.app.goo.gl/mDBGJd3d4rvzDqeB8?g_st=ic

A casual social media post inviting others to join for kaya toast breakfast at 11am at a location in Singapore (based on the kaya toast reference and linked Google Maps). The post appears to be direct

toolsswyx--x

Sony is hiking the starting price of one-month and three-month PlayStation Plus subscriptions in 'select regions', blaming 'ongoing market conditions' (Jay Peters/The Verge)

Jay Peters / The Verge: Sony is hiking the starting price of one-month and three-month PlayStation Plus subscriptions in “select regions”, blaming “ongoing market conditions” — One-month and three-mon

Sound Sparks Motion: Audio and Text Tuning for Video Editing

arXiv:2605.15307v1 Announce Type: cross Abstract: Motion-centric video editing remains difficult for large generative video models, which often respond well to appearance changes but struggle to produ

local-aiarxiv-cs-cv

Source of Magic - RPG game leveraging Ollama

Source of Magic is a fantasy faction-sim inspired by Dwarf Fortress/RimWorld where factions autonomously scout, mine, build, and generate emergent stories without direct player control. The game featu

local-air-ollama

Sources: AI chip designer Tenstorrent has drawn takeover interest from Intel and Qualcomm; Tenstorrent could be valued at more than $5B in a potential deal (Bloomberg)

Bloomberg: Sources: AI chip designer Tenstorrent has drawn takeover interest from Intel and Qualcomm; Tenstorrent could be valued at more than $5B in a potential deal — Artificial intelligence chip st

Sources: Analog Devices, one of the largest analog chip makers, is in talks to buy Empower, which makes chips used to regulate voltage, for $1.5B in cash (Bloomberg)

Bloomberg: Sources: Analog Devices, one of the largest analog chip makers, is in talks to buy Empower, which makes chips used to regulate voltage, for 1.5B in cash — Analog Devices Inc. is in advanced

Sources: competition for Google's TPUs among its employees and researchers intensified as it prioritizes cloud customers and flagship AI products over research (Julia Love/Bloomberg)

Julia Love / Bloomberg: Sources: competition for Google's TPUs among its employees and researchers intensified as it prioritizes cloud customers and flagship AI products over research — In the race to

SpaceX Dragon spaceship docking with the International @Space_Station

SpaceX's Dragon spacecraft successfully docked with the International Space Station, demonstrating the company's capability to deliver cargo and/or crew to orbit. This achievement represents a key mil

industryelon-musk--x

Sparse ActionGen: Accelerating Diffusion Policy with Real-time Pruning

arXiv:2601.12894v2 Announce Type: replace-cross Abstract: Diffusion Policy has dominated action generation due to its strong capabilities for modeling multi-modal action distributions, but its multi-s

Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models

arXiv:2605.15961v1 Announce Type: new Abstract: Large-scale pre-trained vision-language models like CLIP demonstrate remarkable zero-shot performance across diverse tasks. However, fine-tuning these m

researcharxiv-cs-cv

Spectral Priors vs. Attention: Investigating the Utility of Attention Mechanisms in EEG-Based Diagnosis

arXiv:2605.15433v1 Announce Type: new Abstract: Electroencephalograph (EEG) timeseries signals are characterized by significant noise and coarse spatial resolution, which complicates the classificatio

researcharxiv-cs-lg

Stabilizing Knowledge, Promoting Reasoning: Dual-Token Constraints for RLVR

arXiv:2507.15778v2 Announce Type: replace Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) has become an effective post-training method for improving the reasoning abilities of Large La

researcharxiv-cs-cl

Safety

STABLE: Simulation-Ready Tabletop Layout Generation via a Semantics-Physics Dual System

arXiv:2605.16137v1 Announce Type: new Abstract: Generating simulation-ready tabletop scenes from task instructions is an intriguing and promising research direction in the field of Embodied AI. Howeve

safetyarxiv-cs-cv

STAR: A Stage-attributed Triage and Repair framework for RCA Agents in Microservices

model-releasesarxiv-cs-ai

arXiv:2605.15581v1 Announce Type: new Abstract: LLM-based root cause analysis (RCA) agents have recently emerged as a promising paradigm for incident diagnosis in microservice AIOps. However, their re

Starship is designed to transport over a megaton of payload to space per year

Starship is designed to transport over a megaton of payload to space per year SpaceX is absolutely dominating the entire planet in orbital mass As of 2026: • Total Global Mass to Orbit: ~969.6 metric

industryelon-musk--x

Steve Bannon and 60+ Trump allies sign a Humans First-led letter urging Trump to mandate government testing and approval of powerful AI models before release (Ashley Gold/Axios)

Ashley Gold / Axios: Steve Bannon and 60+ Trump allies sign a Humans First-led letter urging Trump to mandate government testing and approval of powerful AI models before release — A group of more tha

model-releasestechmeme

StippleDiffusion: Capacity-Constrained Stippling using Controlled Diffusion

arXiv:2605.15816v1 Announce Type: cross Abstract: Stipple patterns, point sets whose local density tracks a target image, are traditionally produced by per-density iterative optimizers, which are slow

Stochastic Compositional Optimization via Hybrid Momentum Frank--Wolfe

arXiv:2605.15350v1 Announce Type: cross Abstract: Stochastic compositional optimization minimizes objectives of the form min_{m{x} in X} F(m{f}(m{x}), m{x}), where m{f} is accessible only through nois

researcharxiv-cs-lg

Stochastic Non-Smooth Convex Optimization with Unbounded Gradients

arXiv:2605.15522v1 Announce Type: cross Abstract: Much of the existing theory on first-order non-smooth optimization is built on a restrictive assumption that the gradients of the objective function a

researcharxiv-cs-lg

Stock Market Prediction Using Node Transformer Architecture Integrated with BERT Sentiment Analysis

arXiv:2603.05917v3 Announce Type: replace-cross Abstract: Stock market prediction presents considerable challenges for investors, financial institutions, and policymakers operating in complex market e

researcharxiv-cs-ai

Strategy acquired 24,869 bitcoin for ~2.01B at an 80,985 average price from May 11 to May 17, taking its holdings to 843,738 BTC, or 4%+ of the total supply (James Hunt/The Block)

James Hunt / The Block: Strategy acquired 24,869 bitcoin for ~2.01B at an 80,985 average price from May 11 to May 17, taking its holdings to 843,738 BTC, or 4%+ of the total supply — Quick Take — Stra

Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model

model-releasesarxiv-cs-ai

arXiv:2605.15733v1 Announce Type: cross Abstract: Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (

Structure-BiEval: A Self-Supervised, Dual-Track Framework for Decoupling Structure and Content in LLM Evaluation for Web Information Systems

model-releasesarxiv-cs-ai

arXiv:2601.19923v2 Announce Type: replace-cross Abstract: As Large Language Models (LLMs) evolve into the core of Web-based autonomous agents and complex Web Information Systems, their ability to fait

Structured Jacobian Construction for Motion Optimization with High-Order Time Derivatives in Multi-Link Systems

arXiv:2605.15845v1 Announce Type: new Abstract: This paper presents a novel framework for Jacobian computation in motion optimization problems involving multi-link systems, where physical quantities a

researcharxiv-cs-ro

STS: Efficient Sparse Attention with Speculative Token Sparsity

model-releasesarxiv-cs-cl

arXiv:2605.15508v1 Announce Type: cross Abstract: The quadratic complexity of attention imposes severe memory and computational bottlenecks on Large Language Model (LLM) inference. This challenge is p

Tutorials

Sufficient Explanations in Databases and their Connections to Database Repairs

arXiv:2511.15623v2 Announce Type: replace-cross Abstract: We investigate the notion of sufficient explanation, and a sufficiency-degree as attribution score for database tuples in relation to query an

tutorialsarxiv-cs-ai

Surrogate Neural Architecture Codesign Package (SNAC-Pack)

arXiv:2605.16138v1 Announce Type: cross Abstract: Neural architecture search (NAS) is a powerful approach for automating model design, but existing methods often optimize for accuracy alone or rely on

local-aiarxiv-cs-ai

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference

model-releasesarxiv-cs-lg

arXiv:2605.15488v1 Announce Type: new Abstract: Survival analysis provides a powerful statistical framework for modeling time-to-event outcomes in the presence of censoring. However, selecting an appr

SwAIther-Precip: Lead-Time-Aware Bias Correction Enables Kilometer-Scale Downscaling of Global AI Precipitation Forecasts over Switzerland

arXiv:2605.16163v1 Announce Type: cross Abstract: Skillful medium-range precipitation forecasting at kilometer scale remains challenging over complex terrain because precipitation arises from multisca

local-aiarxiv-cs-lg

Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems

arXiv:2605.15881v1 Announce Type: cross Abstract: The modeling and simulation of infinite-dimensional Hamiltonian systems are central problems in mathematical physics and engineering, however they pos

researcharxiv-cs-ai

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language

arXiv:2605.15607v1 Announce Type: new Abstract: Large language models (LLMs) achieve high pass rates on code generation benchmarks, yet whether they can transfer this ability to languages absent from

researcharxiv-cs-cl

SynthRender and IRIS: Open-Source Framework and Dataset for Bidirectional Sim-Real Transfer in Industrial Object Perception

arXiv:2602.21141v2 Announce Type: replace Abstract: Object perception is fundamental for tasks such as robotic material handling and quality inspection. However, modern supervised deep-learning models

T2T-LA: A Topology-to-Topology LLM Agent for Graph Learning with Neither Feature Access nor Task Knowledge

model-releasesarxiv-cs-lg

arXiv:2512.08964v4 Announce Type: replace Abstract: Graph learning aims to convert data into graph representations, which are fundamental to many problems in machine learning for CAD, where circuits,

TACO: General Acrobatic Flight Control via Target-and-Command-Oriented Reinforcement Learning

model-releasesarxiv-cs-ro

arXiv:2503.01125v4 Announce Type: replace Abstract: Although acrobatic flight control has been studied extensively, one key limitation of the existing methods is that they are usually restricted to sp

Tadpole: Autoencoders as Foundation Models for 3D PDEs with Online Learning

model-releasesarxiv-cs-lg

arXiv:2605.15284v1 Announce Type: new Abstract: We introduce Tadpole, a novel foundation model for three-dimensional partial differential equations (PDEs) that addresses key challenges in transferabil