Search: “context”

Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining

model-releasesarxiv-cs-lg

arXiv:2606.22079v1 Announce Type: cross Abstract: Web data curation has been widely studied for decoder Large Language Model (LLM) pretraining. Encoders for dense-terminology domains such as medicine,

23 Jun 2026

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Tutorials

Words as Difference Makers: How Large Language Models Determine Causal Structure in Text

DGX agent

arXiv:2606.22430v1 Announce Type: cross Abstract: Because large language models (LLMs) are impressively successful in predicting text, it appears that they must have access to a 'world model' represen

tutorialsarxiv-cs-lg

23 Jun 2026

Tools

Your code diff might be small, but the blast radius is not. In the latest Qodo release, AI code review can now reason across connected repos…

Your code diff might be small, but the blast radius is not. In the latest Qodo release, AI code review can now reason across connected repos. That means a backend PR can surface risk in the frontend,

toolsitamar-friedman--x

23 Jun 2026

ZeroGVC: Zero-Shot Generative Video Compression with Autoregressive Diffusion Priors

arXiv:2606.22371v1 Announce Type: cross Abstract: Recent generative video compression methods leverage powerful generative priors to achieve perceptually pleasing reconstructions. However, most existi

researcharxiv-cs-cv

23 Jun 2026

Local Ai

Built a local codebase memory for agentic IDEs using Ollama + ChromaDB; zero cloud required

A developer created a local codebase memory system for agentic integrated development environments (IDEs) using Ollama and ChromaDB, enabling AI-assisted coding without reliance on cloud services. The

local-air-ollama

Tutorials

Codex-maxxing for long-running work

This guide from OpenAI covers techniques for optimizing the use of Codex (their code generation model) for extended programming tasks and projects that require sustained AI assistance. It likely discu

tutorialsopenai

Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code

model-releasessimon-willison

This morning on Hacker News I saw Moebius: 0.2B Lightweight Image Inpainting Framework with 10B-Level Performance, describing a small but effective inpainting model - a model where you can mark region

Satya Nadella says the public wouldn't tolerate a few AI labs 'doing all of the learning for the world', as Microsoft moves to provide low-c…

Satya Nadella says the public wouldn't tolerate a few AI labs 'doing all of the learning for the world', as Microsoft moves to provide low-cost models and tools (Wall Street Journal) (Visit Techmeme d

industryclem-delangue--x

A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very 'software-brained' where the end resul…

A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very 'software-brained' where the end result (the software) is what is important & that code serves as

agentsethan-mollick--x

No Taxation Without Annihilation The Anti-Antimatter-Tax Party fights for our freedom. AATP LFG!

This appears to be a humorous or satirical post from an X account using a play on 'No Taxation Without Representation' to create a fictional 'Anti-Antimatter-Tax Party' (AATP). The post uses science f

industryelon-musk--x

>> Scalable Evaluation for AI Agents << If you run agent evaluation in production, this one is worth your time. It shows that front-loading …

>> Scalable Evaluation for AI Agents << If you run agent evaluation in production, this one is worth your time. It shows that front-loading human judgment into reusable evaluation assets is useful. Bu

agentsdair-ai--x

The MCP debate last November at AIE Code was a ton of fun. Does anything feel worth debating at @aiDotEngineer WF? Last time this came toget…

The MCP debate last November at AIE Code was a ton of fun. Does anything feel worth debating at @aiDotEngineer WF? Last time this came together in under a week… So if you want it let’s do it. What sho

model-releasesswyx--x

Toxic empathy looks at these stats and says, 'Let's give them all another chance.'

This post criticizes 'toxic empathy' as an approach that uses statistical data to justify giving repeated chances to individuals or groups, implying such compassion-driven decision-making may be count

industryelon-musk--x

Your data changes and your multi-hop RAG goes stale? This one updates with embed-and-append -> open-weights Llama-3.3-70B, your own vLLM endpoint, no graph rebuild

This post discusses a solution for keeping multi-hop retrieval-augmented generation (RAG) systems updated when data changes, using an embed-and-append approach with the open-weights Llama-3.3-70B mode

model-releasesr-ollama

Tools

@aiDotEngineer @brendanhunting @TedLasso @USMNT @philipkiely btw @philipkiely kinda proud we did this like 2 days after DWR 2025

This post references a recent achievement or project completion by @philipkiely that occurred approximately 2 days after DWR 2025 (likely a conference or event), with mentions of several accounts incl

toolsswyx--x

20 Jun 2026

@WR4NYGov We need an anti-antimatter-tax party 😂

This is a humorous tweet by Elon Musk making a joke about hypothetical taxation policies, using the scientific concept of antimatter as a comedic device. The tweet appears to be satirical commentary,

industryelon-musk--x

20 Jun 2026

A Five-Plane Reference Architecture for Runtime Governance of Production AI Agents

model-releasesarxiv-cs-ai

arXiv:2606.12320v1 Announce Type: new Abstract: Enterprise security was built to govern data boundaries: the protected surface was data at rest and in transit, and the controls -- access control, data

Adaptive Multi-Resolution Procedural Knowledge Compression for Large Language Models

arXiv:2606.12203v1 Announce Type: new Abstract: Large language models (LLMs) are widely used to tackle complex tasks with autonomous workflows. Recently, reusable natural language skills have emerged

AerialClaw: An Open-Source Framework for LLM-Driven Autonomous Aerial Agents

arXiv:2606.12142v1 Announce Type: cross Abstract: Unmanned aerial vehicles (UAVs) are increasingly used in inspection, search and rescue, environmental monitoring, and emergency response. However, mos

safetyarxiv-cs-cv

Tutorials

AGE-MIL: Anchor-Guided Evidence Learning for Patient-Level Prediction

arXiv:2606.12126v1 Announce Type: new Abstract: Existing computational pathology methods predominantly operate within whole-slide image (WSI)-level multiple instance learning (MIL) paradigms, while pa

tutorialsarxiv-cs-cv

Agents All the Way Down; A Methodology for Building Custom AI Agents from Substrate to Production

arXiv:2606.11869v1 Announce Type: cross Abstract: Custom AI agents areagents that live inside their own application, talk to their own data and tools, enforce their own security boundaries, and carry

An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination

arXiv:2606.11910v1 Announce Type: new Abstract: Traffic law liability determination is critical for assigning legal penalties, requiring the simultaneous identification of interdependent statutory pro

Augmenting Molecular Language Models with Local n-gram Memory

arXiv:2606.12113v1 Announce Type: cross Abstract: Transformer-based language models for SMILES strings suffer from a locality gap: standard character-level tokenization fragments chemically meaningful

safetyarxiv-cs-ai

Automated Creativity Evaluation of Language Models Across Open-Ended Tasks

arXiv:2606.11762v1 Announce Type: cross Abstract: Large language models (LLMs) have achieved remarkable progress in language understanding, reasoning, and generation, sparking growing interest in thei

Beyond Fully Random Masking: Attention-Guided Denoising and Optimization for Diffusion Language Models

arXiv:2606.12273v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) offer an efficient alternative to autoregressive models through parallel decoding, yet existing post-training me

researcharxiv-cs-cl

Local Ai

Compiler-First State Space Duality and Portable O(1) Autoregressive Caching for Inference

arXiv:2603.09555v2 Announce Type: replace-cross Abstract: High-throughput Mamba-2 inference is usually tied to fused CUDA and Triton kernels, limiting portability across accelerator backends. We show

local-aiarxiv-cs-ai

Applications

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?

arXiv:2606.12402v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) are increasingly deployed as high-level planners for embodied agents, with an emerging strategy of scaling test-time com

applicationsarxiv-cs-ai

DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems

arXiv:2606.12236v1 Announce Type: cross Abstract: Many autonomous driving systems are increasingly incorporating foundation models to improve generalization and handle long-tail scenarios. However, th

agentsarxiv-cs-cv

Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems

arXiv:2606.11471v1 Announce Type: cross Abstract: The expansion of the digital domain has resulted in a substantial increase in digital communication, with email emerging as one of the most prominent

researcharxiv-cs-lg

EverydayGPT: Confidence-Gated Routing for Efficient and Safe Hybrid GPT-RAG Conversational QA

arXiv:2606.11212v1 Announce Type: new Abstract: Standard Retrieval-Augmented Generation (RAG) pipelines route every query through retrieval and generation unconditionally, incurring unnecessary comput

Family-Aware Residual Architecture for Predicting Quantum Circuit Simulation Performance

arXiv:2606.11620v1 Announce Type: cross Abstract: Approximate tensor-network simulators enable classical simulation of quantum circuits beyond the reach of exact methods, but selecting optimal approxi

researcharxiv-cs-lg

Finding Multiple Interpretations in Datasets

arXiv:2606.12277v1 Announce Type: new Abstract: In this paper, we propose an approach to finding sets of similar-performing models (in terms of loss/accuracy measurements) with highly different contex

researcharxiv-cs-lg

Applications

FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping

arXiv:2502.14894v5 Announce Type: replace-cross Abstract: Per- and polyfluoroalkyl substances (PFAS) are persistent environmental contaminants with significant public health impacts, yet large-scale m

applicationsarxiv-cs-ai

Generalization Hacking: Models Can Game Reinforcement Learning by Preventing Behavioral Generalization

arXiv:2606.12016v1 Announce Type: cross Abstract: Model post-training, and in particular reinforcement learning (RL), is one of the primary mechanisms by which developers can shape models' values and

researcharxiv-cs-ai

Goal-Autopilot: A Verifiable Anti-Fabrication Firewall for Unattended Long-Horizon Agents

arXiv:2606.11688v1 Announce Type: cross Abstract: Long-horizon LLM agents are not trusted to run unattended: with no human watching, they confidently report success they never verified. We treat hones

HERO: Hindsight-Enhanced Reflection from Environment Observations for Agentic Self-Distillation

arXiv:2606.11559v1 Announce Type: new Abstract: Reinforcement learning typically improves multi-turn agent capabilities through the terminal outcome of the trajectories, which makes it difficult to de

safetyarxiv-cs-ai

How Seemingly Inconsequential Design Choices Dictate Performance of LLMs in Pathology

model-releasesarxiv-cs-cv

arXiv:2606.12407v1 Announce Type: new Abstract: General-purpose large language models (LLMs) are routinely used as baselines when evaluating specialized pathology models on whole-slide images (WSIs).

KinematicRL: A Sim-to-Real Reinforcement Learning Framework For Social Navigation With Kinodynamic Feasibility

arXiv:2606.12042v1 Announce Type: new Abstract: Deep Reinforcement Learning (DRL) has shown promise for social navigation, yet its real-world deployment remains hindered by a persistent sim-to-real ga

safetyarxiv-cs-ro

LLMs+Graphs: Toward Graph-Native, Synergistic AI Systems

arXiv:2606.11560v1 Announce Type: cross Abstract: Large Language Models (LLMs) have advanced rapidly, but their limitations in structured and multi-hop reasoning underscore the need for graph-native,

Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification

model-releasesarxiv-cs-ai

arXiv:2606.11922v1 Announce Type: cross Abstract: Recent respiratory sound classification (RSC) studies largely rely on CLS-token driven self-attention architectures such as the Audio Spectrogram Tran

Applications

M4FC: a Multimodal, Multilingual, Multicultural, Multitask Real-World Fact-Checking Dataset

arXiv:2510.23508v3 Announce Type: replace Abstract: Existing real-world datasets for multimodal fact-checking have multiple limitations: they contain few instances, cover on only one or two languages,

applicationsarxiv-cs-cl

Modelling magnetic material properties with uncertainty-aware neural networks

model-releasesarxiv-cs-lg

arXiv:2606.11870v1 Announce Type: cross Abstract: Machine learning is increasingly applied to accelerate the discovery of novel materials by exploring large compositional and structural design spaces.

Multi-Agent Reasoning with Adaptive Worker Allocation for Stance Detection

arXiv:2606.11609v1 Announce Type: new Abstract: Stance detection requires identifying an author's position toward a target, often from short-form texts where stance is implicit, indirect, or rhetorica

Local Ai

MultiToP: Learning to Patch Visual Tokens to Mitigate Hallucinations in Video Large Multimodal Models

arXiv:2606.11792v1 Announce Type: cross Abstract: Video Large Multimodal Models have achieved remarkable progress in video understanding, yet they remain prone to hallucinations, where generated respo

local-aiarxiv-cs-ai

Overcoming State Inertia in Full-Duplex Spoken Language Models via Activation Steering

model-releasesarxiv-cs-ai

arXiv:2606.11386v1 Announce Type: cross Abstract: Full-duplex spoken language models (FD-SLMs) enable seamless speech interaction by allowing models to listen and speak simultaneously, yet the interna

Tutorials

Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network

arXiv:2606.11663v1 Announce Type: cross Abstract: Accurate salary prediction is critical for bridging the information gap between employers and job seekers in modern labor markets. Existing approaches

tutorialsarxiv-cs-lg

RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization

arXiv:2508.09459v3 Announce Type: replace-cross Abstract: Visual manipulation localization (VML) aims to identify tampered regions in images and videos, a task that has become increasingly challenging

researcharxiv-cs-ai

Reminder that profiles are still one of the most powerful features in Hermes Agent that not everyone seems to have fully grasped. It's one o…

Reminder that profiles are still one of the most powerful features in Hermes Agent that not everyone seems to have fully grasped. It's one of those things that's obvious in hindsight, but yeah - tryin

agentsnous-research--x