All entries

GraphLit: Learning Text-Enriched Dynamic Character Network Representations for Literary Study

arXiv:2605.28643v1 Announce Type: new Abstract: Methods to represent literary texts as graphs or sequences of graphs mainly focus on representing character interactions, and often overlook another cru

researcharxiv-cs-cl

GraphSteal: Structural Knowledge Stealing from Graph RAG via Traversal Reconstruction

DGX agent

arXiv:2605.28645v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs by grounding generation in query-relevant external evidence. Beyond unstructured text corpora, Grap

applicationsarxiv-cs-cl

28 May 2026

Grimlock: Guarding High-Agency Systems with eBPF and Attested Channels

arXiv:2605.27488v1 Announce Type: cross Abstract: Agentic systems increasingly run user-authored orchestration code that invokes tools, spawns subtasks, and delegates work across machines and clouds.

Industry

Grok Build 0.2.7 is now out, with /usage, /login, shared terminals across subagents, and improved image understanding See all updates at htt…

Grok Build 0.2.7 has been released, introducing features including a /usage command, /login functionality, shared terminals across subagents, and enhancements to image understanding capabilities. The

industryelon-musk--x

Industry

Grok Build improvements

Grok Build improvements Bug fixes shipping to Grok Build 0.2.7 (release notes will be available in the TUI) • Wrap around on Up/Down in slash menu and history search • Restore subagent UI and replay o

industryelon-musk--x

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?

arXiv:2605.27494v1 Announce Type: cross Abstract: Modern retrieval-augmented generation(RAG) deployments increasingly rely on caching to reduce token cost and time-to-first-token(TTFT). Prefix-level K

GS-FUSE: Granger-Supervised Gated Fusion and Multi-Granularity Alignment for Event-Driven Financial Forecasting

arXiv:2605.28520v1 Announce Type: new Abstract: Accurately forecasting the impact of salient financial events on markets is critical for investors and policymakers. However, existing multimodal time-s

Guaranteed Optimal Compositional Explanations for Neurons

arXiv:2511.20934v2 Announce Type: replace Abstract: Compositional explanations are a family of methods that aim to describe the spatial alignment between neurons' receptive field activations and conce

GUI Agents for Continual Game Generation

arXiv:2605.28258v1 Announce Type: cross Abstract: Generating a game is not the same as making one that can be played. Despite advances in code generation, existing approaches treat game generation as

GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection

arXiv:2605.28534v1 Announce Type: new Abstract: Despite the rapid progress of multimodal large language models in building Graphical User Interface (GUI) agents, their real-world task completion is fu

agentsarxiv-cs-cl

Tutorials

[Guide] How to securely run ComfyUI on Windows (Docker>WSL2) [RTX 3090, logic can be applied to other hardware]

tutorialsr-stablediffusion

ComfyUI is a node-based interface for Stable Diffusion that can be run on Windows using Docker and WSL2 (Windows Subsystem for Linux 2) for improved security and performance. This guide provides instr

Hardware

H100 price: down H200 price: down tokenmaxxing: dead RoI for most customers: AWOL you can’t defy gravity forever

Gary Marcus discusses declining prices for NVIDIA's H100 and H200 AI chips, suggesting that inflated valuations and returns on investment for AI hardware customers are becoming unsustainable as the ma

hardwaregary-marcus--x

Hallucination Behavior in Multimodal LLMs Across Agricultural Image Interpretation and Generation Tasks

model-releasesarxiv-cs-ai

arXiv:2605.27595v1 Announce Type: cross Abstract: Large Language Models (LLMs) are being rapidly adopted in agricultural imaging applications, ranging from crop interpretation to synthetic field image

Tools

@HamiltonMusical ok this thing is going RSI WTF https://www.tiktok.com/@broadwayourwaysf/video/7645007016355745037?_r=1&_t=ZT-96kKlRAHb49

A social media post sharing a TikTok video from the Hamilton Musical account showing content related to RSI (likely repetitive strain injury or rapid scaling issues), suggesting a viral or noteworthy

toolsswyx--x

HardMTBench: Stress-Testing Chinese-English Translation on Knowledge-Intensive Domains

model-releasesarxiv-cs-cl

arXiv:2605.28315v1 Announce Type: new Abstract: General-purpose machine translation benchmarks such as FLORES-200 have reached a saturation regime on Chinese-English pairs, where modern large language

Local Ai

HarmoVid: Relightful Video Portrait Harmonization

arXiv:2605.28811v1 Announce Type: new Abstract: We present a method for harmonizing the lighting of a foreground video to match a target background scene, adjusting shadows, color tone, and illuminati

local-aiarxiv-cs-cv

Harness-Bench: Measuring Harness Effects across Models in Realistic Agent Workflows

model-releasesarxiv-cs-ai

arXiv:2605.27922v1 Announce Type: new Abstract: LLM agents are increasingly deployed as executable systems that use tools, modify workspaces, and produce concrete artifacts. In such workflows, perform

Local Ai

HARP: Measuring Harm Amplification in Multi-Agent LLM Systems

arXiv:2605.27489v1 Announce Type: cross Abstract: Multi-agent LLM systems decompose workflows across agents, tools, shared context, memory, and decision gates. This modularity improves interpretabilit

local-aiarxiv-cs-ai

HEAL: Resilient and Self-* Hub-based Learning

arXiv:2605.27475v1 Announce Type: cross Abstract: Decentralized learning enhances privacy, scalability, and fault tolerance by distributing data and computation across nodes. A popular approach is Fed

HEART: Achieving Timely Multi-Model Training for Vehicle-Edge-Cloud-Integrated Hierarchical Federated Learning

arXiv:2501.09934v3 Announce Type: replace-cross Abstract: The rapid growth of AI-enabled Internet of Vehicles (IoV) calls for efficient Machine Learning (ML) solutions that can handle high vehicular m

HELEA: Hard-Negative Benchmark and LLM-based Reranking for Robust Entity Alignment

model-releasesarxiv-cs-cl

arXiv:2605.28308v1 Announce Type: new Abstract: Entity Alignment (EA) is essential for knowledge graph (KG) fusion, but existing benchmarks often allow models to exploit name overlap rather than relat

hello beloved tasteful users, do you like how much claude thinks on your tasks? would love examples of it thinking too much or too little

This post asks Claude users for feedback about the length and depth of Claude's reasoning on tasks, soliciting examples where Claude's thinking might be excessive or insufficient. The inquiry aims to

model-releasesthariq--x

Here Opus 4.8 built and play-tested a new RPG in Claude Code, including 3 PDF manuals and adventures, playtest notes, a website, and a playa…

model-releasesethan-mollick--x

Here Opus 4.8 built and play-tested a new RPG in Claude Code, including 3 PDF manuals and adventures, playtest notes, a website, and a playable solo adventure - then put it all on Netlify. No feedback

Hermes Agent v0.15.0 - “The Velocity Release” Changelog below

Hermes Agent v0.15.0, released by Nous Research as 'The Velocity Release,' represents an update to their Hermes Agent framework that likely focuses on performance improvements and speed optimizations.

agentsnous-research--x

Heterogeneous Causal Discovery of Repeated Undesirable Health Outcomes

arXiv:2503.11477v2 Announce Type: replace Abstract: Understanding the factors that trigger or prevent undesirable health outcomes across patient subpopulations is essential for designing targeted inte

Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market

arXiv:2605.27433v1 Announce Type: cross Abstract: With the increasing complexity of collaboration among various social entities and user demands, the factors affecting the stable development of the da

Hardware

Heterogeneous Parallelism for Multimodal Large Language Model Training

arXiv:2605.27678v1 Announce Type: new Abstract: Foundation model training is becoming multimodal, from post-training pipelines to large-scale pretraining. As modality coverage broadens, context window

hardwarearxiv-cs-lg

HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling

arXiv:2512.23959v3 Announce Type: replace-cross Abstract: Multi-step retrieval-augmented generation (RAG) has become a widely adopted strategy for enhancing large language models (LLMs) on tasks that

Hierarchical Prompt-Domain Control and Learning for Resource-Constrained Agentic Language Models

arXiv:2605.27703v1 Announce Type: new Abstract: Large Language Models are increasingly deployed inside agentic systems, where they must follow structured protocols, adapt to evolving states, and opera

Tutorials

Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition

arXiv:2504.10079v4 Announce Type: replace Abstract: Few-shot action recognition (FSAR) aims to recognize novel action categories with few exemplars. Existing methods typically learn frame-level repres

tutorialsarxiv-cs-cv

Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework

arXiv:2605.28198v1 Announce Type: new Abstract: Existing approaches for synthetic tabular data generation are based on either purely generative models or LLMs, both of which struggle with data heterog

safetyarxiv-cs-lg

High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention

arXiv:2605.27758v1 Announce Type: cross Abstract: Automotive crashworthiness optimization remains a safety-critical challenge, requiring the management of large-scale nonlinear structural deformations

High Performance, Low Reliability: Uncertainty Benchmarking for Tabular Foundation Models

model-releasesarxiv-cs-lg

arXiv:2605.28554v1 Announce Type: new Abstract: Recent Tabular Foundation Models (TFMs) have demonstrated state-of-the-art predictive performance, often surpassing Gradient-Boosted Decision Trees (GBD

HiRQA: Hierarchical Ranking and Quality Alignment for Opinion-Unaware Image Quality Assessment

arXiv:2508.15130v2 Announce Type: replace Abstract: Despite significant progress in no-reference image quality assessment (NR-IQA), dataset biases and reliance on subjective labels continue to hinder

safetyarxiv-cs-cv

History-aware adaptive reduced-order models via incremental singular value decomposition

arXiv:2605.28684v1 Announce Type: new Abstract: Reduced-order models (ROMs) can accelerate high-dimensional dynamical simulations, but their accuracy often deteriorates when online dynamics leave the

researcharxiv-cs-lg

HO-SFL: Hybrid-Order Split Federated Learning with Backprop-Free Clients and Dimension-Free Aggregation

arXiv:2603.14773v2 Announce Type: replace-cross Abstract: Fine-tuning large models on edge devices is severely hindered by the memory-intensive backpropagation (BP) in standard frameworks like federat

Holy shit! They changed the rules for Elon again... They waved the profitability rule & are adding SpaceX to indices only 5 days after IPO..…

Holy shit! They changed the rules for Elon again... They waved the profitability rule & are adding SpaceX to indices only 5 days after IPO... normally it's 90 This forces 401k retirement & passive fun

safetygary-marcus--x

Holy smokes! Polymarket was not trolling. 500M accidental Claude spend in one month! Scoop from @MadisonMills22 @axios

model-releasesgary-marcus--x

Holy smokes! Polymarket was not trolling. 500M accidental Claude spend in one month! Scoop from @MadisonMills22 @axios NEW: AI consultant reveals a client accidentally spent $500,000,000.00 in a singl

How a new extraction process could unlock the world’s lithium

Researchers say they’ve found a new way to extract lithium, a crucial metal used in the lithium-ion batteries that power electric vehicles and energy storage arrays. This new technique could be more e

researchmit-tech-review

How Endava builds an agentic organization with Codex

Endava, a software services company, leverages OpenAI's Codex to transform its organizational operations into an agentic model where AI agents autonomously handle tasks and decision-making. The approa

agentsopenai

Applications

How enterprise leaders are scaling AI agents across their organization

Enterprise leaders are implementing AI agents across their organizations through strategies that address deployment, governance, and integration challenges. The article from Databricks likely covers b

applicationsdatabricks

How Far Can Disaggregation Go? A Design-Space Exploration of Attention-FFN Disaggregation for Efficient MoE LLM Serving

model-releasesarxiv-cs-ai

arXiv:2605.28302v1 Announce Type: cross Abstract: Modern large language model (LLM) inference has progressively disaggregated to keep pace with growing model sizes and tight TTFT and TPOT service-leve

how it started how it’s going

'How it started, how it's going' is a popular internet meme format that compares two contrasting images or states—typically showing an initial hopeful or humble beginning alongside a current outcome t

model-releasescohere--x

How Much Can a Few Engine Moves Help? Quantifying Limited Cheating in Chess

arXiv:2601.05386v2 Announce Type: replace Abstract: Cheating in chess, by using advice from powerful software, has become a major problem, reaching the highest levels. As opposed to the large majority

Industry

How pigeons exploit magnetic fields for navigation

Pigeons possess iron-rich macrophages in their livers that act as magnetic sensors, enabling detection of Earth's magnetic field for navigation. Removal of these cells disrupts magnetic-based homing,

industryars-technica

How Should We Teach Robots? A Comparison of Kinesthetic, Joystick, and Gesture-Based Teaching

arXiv:2605.28033v1 Announce Type: new Abstract: Instructing robots from demonstrations can be done through different teaching modalities, each with different usability and performance trade-offs. This

researcharxiv-cs-ro

How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

arXiv:2605.27662v1 Announce Type: cross Abstract: Equivariant neural networks encode geometric symmetries by construction, yet they are often difficult to optimize and can underperform less constraine

How the University of Central Oklahoma is using AI to streamline analysis of complex criminal cases

model-releasesgoogle-cloud-ai

In the high-stakes world of forensic science, time is the enemy of justice. The University of Central Oklahoma (UCO) Forensic Science Institute (FSI) was looking for an innovative AI solution that cou