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Sentiment Analysis of Indonesian Spotify Reviews Using Machine Learning and BiLSTM

arXiv:2605.03443v1 Announce Type: new Abstract: This paper benchmarks classical machine learning and deep learning approaches for three-class sentiment classification of Indonesian Spotify reviews. Us

researcharxiv-cs-cl

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Sentinel2Cap: A Human-Annotated Benchmark Dataset for Multimodal Remote Sensing Image Captioning

DGX agent

arXiv:2605.03189v1 Announce Type: new Abstract: Image captioning has become an important task in computer vision, enabling models to generate natural language descriptions of visual content. While sev

model-releasesarxiv-cs-cv

6 May 2026

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol

arXiv:2605.00827v1 Announce Type: cross Abstract: Large Language Model (LLM) agents increasingly interact with external systems through tool-calling protocols such as the Model Context Protocol (MCP).

agentsarxiv-cs-ai

SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification

arXiv:2605.03701v1 Announce Type: new Abstract: Event Causality Identification (ECI) requires models to determine whether a given pair of events in a context exhibits a causal relationship. While Larg

safetyarxiv-cs-cl

Set-Based Training of Neural Barrier Certificates for Safety Verification of Dynamical Systems

arXiv:2605.02526v1 Announce Type: cross Abstract: Barrier certificates are scalar functions over the state space of dynamical systems that separate all unsafe states from all reachable states. The exi

safetyarxiv-cs-ai

Sheaf-Theoretic Planning: A Categorical Foundation for Resilient Multi-Agent Autonomous Systems

arXiv:2605.01879v1 Announce Type: new Abstract: The challenge of engineering autonomous agents capable of navigating the stochastic and adversarial nature of the physical world has historically reside

agentsarxiv-cs-ai

Local Ai

SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification

arXiv:2605.03301v1 Announce Type: new Abstract: De-identification of clinical text remains essential for secondary use of electronic health records (EHRs), yet public benchmarks such as i2b2 2006/2014

local-aiarxiv-cs-cl

Should We Still Pretrain Encoders with Masked Language Modeling?

arXiv:2507.00994v4 Announce Type: replace Abstract: Learning high-quality text representations is fundamental to a wide range of NLP tasks. While encoder pretraining has traditionally relied on Masked

researcharxiv-cs-cl

SigLoMa: Learning Open-World Quadrupedal Loco-Manipulation from Ego-Centric Vision

arXiv:2605.03846v1 Announce Type: new Abstract: Designing an open-world quadrupedal loco-manipulation system is highly challenging. Traditional reinforcement learning frameworks utilizing exteroceptio

safetyarxiv-cs-ro

Simulated Students in Tutoring Dialogues: Substance or Illusion?

model-releasesarxiv-cs-cl

arXiv:2601.04025v2 Announce Type: replace Abstract: Advances in large language models (LLMs) enable many new innovations in education. However, evaluating the effectiveness of new technology requires

Singular Bank helps bankers move fast with ChatGPT and Codex

Singular Bank leverages OpenAI's ChatGPT and Codex to accelerate banking operations and developer productivity. The integration enables bankers and software engineers to streamline workflows, automate

model-releasesopenai

Skeleton-Snippet Contrastive Learning with Multiscale Feature Fusion for Action Localization

arXiv:2512.16504v3 Announce Type: replace Abstract: The self-supervised pretraining paradigm has achieved great success in learning 3D action representations for skeleton-based action recognition usin

researcharxiv-cs-cv

small workflow note that adds up. /staged-pr is a skill (via slash command) i run when wrapping up a PR. it takes my staged code changes and…

small workflow note that adds up. /staged-pr is a skill (via slash command) i run when wrapping up a PR. it takes my staged code changes and drafts a concise PR title & description, based on my prefer

agentsharrison-chase--x

SMoE: An Algorithm-System Co-Design for Pushing MoE to the Edge via Expert Substitution

arXiv:2508.18983v3 Announce Type: replace Abstract: The Mixture of Experts (MoE) architecture has emerged as a key technique for scaling Large Language Models by activating only a subset of experts pe

safetyarxiv-cs-ai

Snap reports Q1 revenue up 12% YoY to 1.53B, in line with est., and says it ended its 400M Perplexity deal announced in November; SNAP drops 4%+ after hours (Jonathan Vanian/CNBC)

Jonathan Vanian / CNBC: Snap reports Q1 revenue up 12% YoY to 1.53B, in line with est., and says it ended its 400M Perplexity deal announced in November; SNAP drops 4%+ after hours — Snap shares dropp

so cute!

model-releasesclem-delangue--x

so cute! It's pretty magical how kids interact with tech. They just expect it to work for them. Here's mine talking to Reachy Mini via Gemini Live API. I didn't tell them how, they just did it. That's

So much space in space that it boggles the mind!

Elon Musk posted a statement expressing amazement at the vastness of space, reflecting on the immense scale and distances involved in the cosmos. The post likely emphasizes how difficult it is for hum

SOAR: Real-Time Joint Optimization of Order Allocation and Robot Scheduling in Robotic Mobile Fulfillment Systems

arXiv:2605.03842v1 Announce Type: cross Abstract: Robotic Mobile Fulfillment Systems (RMFS) rely on mobile robots for automated inventory transportation, coordinating order allocation and robot schedu

agentsarxiv-cs-ro

SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification

arXiv:2605.03371v1 Announce Type: new Abstract: Cross-scene hyperspectral image (HSI) classification stands as a fundamental research topic in remote sensing, with extensive applications spanning vari

safetyarxiv-cs-cv

Soft Tournament Equilibrium

model-releasesarxiv-cs-lg

arXiv:2604.04328v3 Announce Type: replace-cross Abstract: The evaluation of general-purpose artificial agents, particularly those based on LLMs, presents a significant challenge due to the non-transit

Tools

some thoughts on working with ai models • context as infra • taste as config • verification for autonomy • scaling via delegation • closing …

This post discusses practical frameworks for working with AI models, covering how context serves as infrastructure, taste functions as configuration, verification enables autonomous systems, and deleg

toolsswyx--x

Source: Alphabet is in talks with Blackstone, KKR, and EQT to give their portfolio companies AI model access, after OpenAI's and Anthropic's JVs with PE firms (The Information)

The Information: Source: Alphabet is in talks with Blackstone, KKR, and EQT to give their portfolio companies AI model access, after OpenAI's and Anthropic's JVs with PE firms — Private equity firms B

Sources: Blue Origin outlines a new employee stock plan to quell staff unrest and make its incentives more competitive with SpaceX (Rafe Rosner-Uddin/Financial Times)

Rafe Rosner-Uddin / Financial Times: Sources: Blue Origin outlines a new employee stock plan to quell staff unrest and make its incentives more competitive with SpaceX — Rocket maker hopes to quell em

Sources: Microsoft is considering delaying or dropping its 2030 goal of matching its hourly power use with renewable energy purchases, amid the data center boom (Bloomberg)

Bloomberg: Sources: Microsoft is considering delaying or dropping its 2030 goal of matching its hourly power use with renewable energy purchases, amid the data center boom — Microsoft Corp. may shelve

Sources: the US and China are considering recurring talks on the security risks posed by AI models, with Scott Bessent leading the American side (Lingling Wei/Wall Street Journal)

Lingling Wei / Wall Street Journal: Sources: the US and China are considering recurring talks on the security risks posed by AI models, with Scott Bessent leading the American side — Washington and Be

Applications

Sovereign cloud reshapes enterprise AI deployment strategies

Enterprises are entering a new phase of cloud adoption where flexibility, control and performance are no longer trade-offs but requirements. As AI workloads become more distributed and data-intensive,

applicationssiliconangle

SpaceX is starting to move on from the world's most successful rocket

SpaceX is transitioning from the highly successful Falcon 9 rocket program toward the next generation as the Starship program enters its operational phase. SpaceX is preparing Starship V3, a larger an

industryars-technica

SpaceX just set a new record! Falcon boosters have now nailed 268 consecutive successful landings - the longest streak in history

SpaceX achieved a historic milestone by successfully landing Falcon rocket boosters 268 consecutive times, setting a new record for the longest streak of successful booster landings in the company's h

SpaceX signs an agreement with Anthropic to provide access to Colossus 1, and says Anthropic expressed interest in partnering for orbital compute capacity (xAI)

xAI: SpaceX signs an agreement with Anthropic to provide access to Colossus 1, and says Anthropic expressed interest in partnering for orbital compute capacity — SpaceXAI has signed an agreement with

SpaceX Super Heavy Booster 19 rolls by as it heads to the launch site for testing

SpaceX's Super Heavy Booster 19 was transported to the launch site for testing purposes, as documented in a post by Elon Musk on X. This represents progress in SpaceX's development of the Starship lau

SpaceX / xAI orbital datacenters will be wild...

SpaceX and xAI are exploring the concept of orbital datacenters positioned in space, which could potentially offer advantages such as reduced cooling requirements, proximity to satellite infrastructur

SpaceXAI and @AnthropicAI have also expressed interest in partnering to develop multiple gigawatts of orbital AI compute capacity

SpaceX's AI division (xAI) and Anthropic have expressed interest in partnering to develop orbital AI compute capacity at the gigawatt scale. This collaboration would involve deploying computational in

SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide …

SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → http://x.ai/news/anthropic-

model-releasesthariq--x

Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images

arXiv:2601.10931v2 Announce Type: replace Abstract: Tree canopy detection from aerial imagery is an important task for environmental monitoring, urban planning, and ecosystem analysis. Simulating real

researcharxiv-cs-cv

Sparse Memory Finetuning as a Low-Forgetting Alternative to LoRA and Full Finetuning

model-releasesarxiv-cs-cl

arXiv:2605.03229v1 Announce Type: new Abstract: Adapting a pretrained language model to a new task often hurts the general capabilities it already had, a problem known as catastrophic forgetting. Spar

Spatiotemporal Convolutions on EEG signal -- A Representation Learning Perspective on Efficient and Explainable EEG Classification with Convolutional Neural Nets

arXiv:2605.03874v1 Announce Type: new Abstract: Classification of EEG signals using shallow Convolutional Neural Networks (CNNs) is a prevalent and successful approach across a variety of fields. Most

researcharxiv-cs-lg

SpecMD: A Comprehensive Study on Speculative Expert Prefetching

researchapple-ml-research

Mixture-of-Experts (MoE) models enable sparse expert activation, meaning that only a subset of the model’s parameters is used during each inference. However, to translate this sparsity into practical

Spectral- and Energy-efficient Multi-BS Multi-RIS Pinching-antenna Systems: A GNN-based Approach

arXiv:2605.01307v1 Announce Type: cross Abstract: This paper investigates coordinated downlink transmission in a multi-base station (multi-BS) multi-reconfigurable intelligent surface (multi-RIS)-assi

researcharxiv-cs-ai

Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation

arXiv:2510.24211v2 Announce Type: replace Abstract: Autoregressive (AR) modeling has recently emerged as a promising new paradigm in visual generation, but its practical adoption is severely constrain

researcharxiv-cs-cv

Speculative Speculative Decoding

arXiv:2603.03251v3 Announce Type: replace Abstract: Autoregressive decoding is bottlenecked by its sequential nature. Speculative decoding has become a standard way to accelerate inference by using a

researcharxiv-cs-lg

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction

arXiv:2508.05691v3 Announce Type: replace-cross Abstract: Detecting the source model of AI-generated images is a growing accountability problem. AI fingerprinting techniques address this by detecting

researcharxiv-cs-lg

Stable Multimodal Graph Unlearning via Feature-Dimension Aware Quantile Selection

model-releasesarxiv-cs-lg

arXiv:2605.03303v1 Announce Type: new Abstract: Graph unlearning remains a critical technique for supporting privacy-preserving and sustainable multimodal graph learning. However, we observe that exis

StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing

model-releasesarxiv-cs-lg

arXiv:2605.02904v1 Announce Type: new Abstract: We present StateSMix, a fully self-contained lossless compressor that couples an online-trained Mamba-style State Space Model (SSM) with sparse n-gram c

StateVLM: A State-Aware Vision-Language Model for Robotic Affordance Reasoning

model-releasesarxiv-cs-cv

arXiv:2605.03927v1 Announce Type: new Abstract: Vision-language models (VLMs) have shown remarkable performance in various robotic tasks, as they can perceive visual information and understand natural

Static Analysis of Recursive SHACL

arXiv:2605.02787v1 Announce Type: cross Abstract: SHACL (Shapes Constraint Language) expresses constraints on RDF data by means of so-called shapes. Its central service is validation: verifying whethe

researcharxiv-cs-ai

Steer Like the LLM: Activation Steering that Mimics Prompting

arXiv:2605.03907v1 Announce Type: new Abstract: Large language models can be steered at inference time through prompting or activation interventions, but activation steering methods often underperform

researcharxiv-cs-cl

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

arXiv:2509.20102v2 Announce Type: cross Abstract: Adversarial scenario generation is a cost-effective approach for safety assessment of autonomous driving systems. However, existing methods are often

safetyarxiv-cs-ro

Local Ai

Stochastic Attention: Connectome-Inspired Randomized Routing for Expressive Linear-Time Attention

arXiv:2604.00754v2 Announce Type: replace Abstract: The whole-brain connectome of a fruit fly comprises over 130K neurons connected with a probability of merely 0.02%, yet achieves an average shortest

local-aiarxiv-cs-cl