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Orbit-Planner: Towards Latent World Models for On-Orbit Obstacle Avoidance of Satellite Agents
The paper presents Orbit-Planner, a system designed to help satellite agents navigate in space by predicting collision risks with limited onboard observations. It introduces a two-stage latent world model for on-orbit…
Part of the npj Series
An article titled 'MultiMed-RAG: Leveraging Multi-Source Knowledge and Agent Collaboration for Medical Tasks' published in the npj Series, was written by Yuxing Lu, Sin Yee Goi, and Jinzhuo Wang in 2026. The article…
Print as PDF
This document discusses electronic identification (eID) as a tool for secure access to online services and safer electronic transactions.
Quipu: A Governed Bitemporal Knowledge Graph Store
The paper presents Quipu, an embeddable knowledge graph store designed to handle agent workloads more effectively than existing stores. Quipu reverses four common defaults of existing stores: it only accepts facts…
Reconstruction: A Blind Benchmark for Recovering Research Ideas from Pre-Publication Bibliographies
The paper introduces Reconstruction, a blind benchmark for testing language models' ability to recover the true research idea of a published paper using only its pre-publication bibliography. The authors use an…
Semantic Bandits: In-Context Exploration-Exploitation is Biased by Semantic Priors
Researchers introduce the concept of semantic bandits to study how pre-training affects exploration behavior of Large Language Models (LLMs) used as decision-making agents. They find that action labels with semantic…
TDD-Agent: Test-Driven Reasoning for Code Generation
Researchers introduce TDD-Agent, a system that uses the test-driven development (TDD) paradigm for code generation. The system first generates tests to clarify expected behaviors before implementation and then refines…
Too hot to sleep? How heatwaves at night affect our health
This text contains three articles published on August 17, 2026 in Nature. The first article discusses the effects of heatwaves at night on human health. The second and third articles are a comment and a book review…
Topological Attribution Distance (TAD): Revealing Segment-Level RAG Influence on LLM Output Geometry for Incident Log Analysis
Researchers propose a method called Topological Attribution Distance (TAD) to help identify which parts of cyber incident logs are critical in influencing the outputs of Large Language Models (LLMs) used in…
UniTAC: Universal Task-Aware Compression via Weighted Distortion Measures
Researchers propose UniTAC, a universal image compression system for physical AI systems like autonomous vehicles and robots. The system can adapt to changing tasks without retraining, using task-specific importance…
学习贯彻党的二十届四中全会精神
The Ministry of Industry and Information Technology (MIIT) held a grand event commemorating the 100th birthday of Jiang Zemin, with Xi Jinping delivering an important speech. The theme was to study and carry forward…
熊继军率团访问香港、澳门
Xi Jinping attended a commemorative event for the 100th birthday of Jiang Zemin in Beijing and delivered an important speech. Xi Jinping also led a team to visit Hong Kong and Macau, and Li Lecong conducted a survey at…
李乐成到四川省通信管理局调研 强调深入学习贯彻习近平党建思想 推动信息通信业高质量发展
Li Lechen visited the Sichuan Provincial Communications Administration Bureau, emphasizing the deep study and implementation of Xi Jinping's party-building thoughts to promote the high-quality development of the…
一图读懂《安全应急装备产业发展“十五五”规划》
A summary of the 'Safety and Emergency Equipment Industry Development '15-5' Plan'. The plan was announced at a meeting to commemorate the 100th birthday of Jiang Zemin, where Xi Jinping delivered an important speech.
Unsupervised Anomaly Detection for Image Dataset Quality Assurance in Multi-Center Breast MRI
Researchers propose an automated dataset quality assurance mechanism using unsupervised anomaly detection and out-of-distribution detection for multi-center dynamic contrast-enhanced breast MRI. The study compares four…
When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding
The authors studied how AI coding agents coordinate while working on programming tasks. They developed a method to measure this coordination by representing each run as a network with nodes (agents and files) connected…
When State Becomes an Attack Surface: State-Semantic Injection in LLM-Driven Embodied Agents
The text discusses the evolution of Large Language Models (LLMs) from text generation models to core components of agents that can perceive environments, invoke tools, and execute tasks. These LLM-driven embodied…
Why AI systems are most useful as designers of new scientific tools
The article discusses the benefits of using AI systems to design new scientific tools.
Would this change your answer? Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments
The study introduces a new method called CHIVE (Counterfactual Hypothesis Investigation Via Edits) to investigate and explain the behavior of language models in real-world scenarios by creating counterfactual prompt…
Towards Risk-free AI Agent Deployment
The paper argues that trustworthy deployment of LLM agents requires testing and debugging the full execution trajectory, not only checking individual actions or final answers.
UniRL: A Framework for Unified Multimodal Model Reinforcement Learning
Tencent Hunyuan released UniRL, an open-source framework that applies one shared reinforcement-learning training loop across different kinds of generative models (diffusion/image models, text language models…
ACL Anthology team
The ACL Anthology is a collection of papers related to natural language processing, published by the ACL Anthology team. Papers from 2016 onwards are licensed under Creative Commons Attribution 4.0 International…
qwen-code-docs: documentation translation tool for the Qwen Code project
Alibaba's Qwen team released a small open-source tool that automatically translates the Qwen Code project's documentation into eight languages and builds a multilingual documentation website, using Qwen's own AI models…
Automating and Scaling Behavioral Scientific Research on AI Agents
The paper presents AEROBAT, a multi-agent system intended to automate parts of behavioral research on AI agents, from hypothesis generation through experiments, assessment, analysis, and reporting.
Secure all your internal vibe-coded applications — in one click
Cloudflare launched "Access for Workers," letting developers attach login/authentication policies directly to an individual Cloudflare Worker (a unit of deployed code) rather than to a hostname, aimed at securing…
How Cloudflare detects MCP traffic and helps secure it
Cloudflare announced Gateway features that detect Model Context Protocol (MCP) network traffic (the protocol AI agents use to call external tools) and let organizations block or route it through an approved "Portal"…
qwen-code v0.21.12 release (and related preview/nightly builds)
Alibaba's Qwen team shipped a stable release (v0.21.12) of qwen-code, its coding-agent CLI/desktop tool, along with preview and nightly builds in the same window, adding features like drag-and-drop workspace file…
Custom reward functions for multi-turn reinforcement learning with Amazon Nova Forge
AWS engineers describe how to design reward functions for training AI models on multi-turn tasks (e.g., a coding assistant that should ask clarifying questions before writing code) using Amazon Nova Forge, and how to…
Using AI_Functions in Your Data Warehouse: Top Use Cases
Databricks describes how its "AI Functions" let users run AI inference (document parsing, extraction, classification, translation, custom prompting) directly from SQL inside the data warehouse, without moving data to…
AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
Researchers have developed a new framework called AutoDesign to improve the process of transforming multimodal sources into structured media outputs, such as converting academic papers into posters. The system uses a…
OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
Researchers have developed OmniScientist, an AI system that can conduct multidisciplinary research from raw data across various modalities (text, images, signals, etc.). The system operates in a deterministic pipeline…
Alaya-EVOKE: From Linear-Scaling Supervision to Endless World
The paper presents an interactive video world model that keeps track of a scene's state outside the model itself (an externally stored, camera-indexed memory) so it does not need to hold everything in context, aiming…
Amazon Quick for Microsoft 365: Agentic AI where you work
AWS announced general availability of Amazon Quick extensions for Word, Excel, PowerPoint, and Outlook, adding AI features that can act inside documents (not just answer questions), for existing Quick customers on paid…
Monitor on-premises and multi-cloud AI agents with AgentCore Observability
AWS published a how-to guide for sending telemetry from AI agents running outside AWS (on-premises or on another cloud) into Amazon Bedrock AgentCore Observability, using an open standard called OpenTelemetry.
Automate legacy web applications with Amazon Bedrock AgentCore Browser Tool
AWS describes a reference architecture where an AI agent uses a browser-automation tool (AgentCore Browser Tool plus Strands Agents) to operate legacy server-rendered web applications, positioned as an alternative to…
Accelerating M&A due diligence with Amazon Bedrock AgentCore
AWS describes a sample multi-agent system built on Bedrock AgentCore that automates parts of mergers-and-acquisitions due diligence: target screening, financial analysis, strategic-fit evaluation, and compliance…
How Scottish Water Made Its Capital Investment Data Conversational With Databricks Genie
Databricks published a customer case study describing how Scottish Water built "SPARK," a natural-language interface over Databricks Genie and Microsoft Teams/Copilot, to let staff query capital investment project data…
Smart Routing in Unity AI Gateway: Match frontier quality with 30%+ lower cost per task
Databricks announced a "Smart Routing" feature in Unity AI Gateway that automatically picks which AI model handles a coding task based on task complexity, claiming lower cost at similar quality versus always using a…
DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation
The paper describes a model that, given a starting camera frame, a language instruction, and a planned sequence of robot actions, predicts what the robot's camera would see next, intended to help with robotic…
HiLS-Attention: Hierarchical Sparse Attention Done Right
Tencent's Hunyuan team released official code for HiLS-Attention, a chunk-based sparse attention method meant to make very long-context language models faster to run while keeping accuracy, learning which chunks of…
Hunyuan3D-WorldClaw: Agentic 3D Open-world Generation at Scale
Tencent's Hunyuan team released "WorldClaw," a system that uses AI agents combined with procedural generation to build large open-world 3D environments.
Intern-S2-Preview: Scientific Agentic Foundation Model
The paper introduces a family of foundation models trained specifically for multimodal scientific work, using scientific documents, interleaved image-text data, and diverse scientific corpora, with a large…
Koedinger Wins Lifetime Achievement Award
CMU announced that Ken Koedinger, a Hillman University Professor at CMU's Human-Computer Interaction Institute, received the Lifetime Achievement Award from the International Artificial Intelligence in Education…
Patterns and Problems in Emerging Multiagent Systems
Anthropic's Frontier Red Team describes patterns observed when multiple Claude agent instances interact on shared tasks: coordination breakdowns, agents converging on near-identical behavior (low variance)…
A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
A research study compared the performance of VITA, a specialized clinical AI tool for low- and middle-income settings, with various frontier large language models (LLMs) on the HealthBench benchmark. The study found…
A corpus-specific clinical RAG system matches or outperforms newer frontier LLMs on HealthBench
A research paper evaluates VITA, a clinical knowledge retrieval system built for low- and middle-income settings, on a medical benchmark. In comparison to various frontier large language models (LLMs), including…
AI4AI at Test-Time: Strong-to-Weak Capability Transfer via Harnesses
The study presents a new approach for transferring capabilities of large AI models to smaller ones at test time instead of during training. This method involves using a stronger model to create inference-time harnesses…
An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESS
The authors propose an agentic workflow for large-scale modernization of legacy Fortran code, specifically demonstrating it on the two-electron-integral routines of GAMESS (a 48-year old quantum chemistry software)…
An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESS
Researchers proposed an agentic workflow to modernize legacy Fortran code at a large scale. They applied this method in a case study by converting parts of GAMESS, a quantum-chemistry software package, from Fortran 77…
An Agentic Workflow for Legacy HPC Modernization: Converting the Two-Electron-Integral Core of GAMESS
Researchers propose an agentic workflow to modernize legacy Fortran code at a large scale. They apply this workflow in a case study by converting the two-electron-integral routines of GAMESS (a quantum-chemistry…
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