AutoContext: Instance-Level Context Learning for LLM Agentscs.AI updates on arXiv.org arXiv:2510.02369v3 Announce Type: replace-cross
Abstract: Current LLM agents typically lack instance-level context, which comprises concrete facts such as environment structure, system configurations, and local mechanics. Consequently, existing methods are forced to intertwine exploration with task execution. This coupling leads to redundant interactions and fragile decision-making, as agents must repeatedly rediscover the same information for every new task. To address this, we introduce AutoContext, a method that decouples exploration from task solving. AutoContext performs a systematic, one-off exploration to construct a reusable knowledge graph for each environment instance. This structured context allows off-the-shelf agents to access necessary facts directly, eliminating redundant exploration. Experiments across TextWorld, ALFWorld, Crafter, and InterCode-Bash demonstrate substantial gains: for example, the success rate of a ReAct agent on TextWorld improves from 37% to 95%, highlighting the critical role of structured instance context in efficient agentic systems.
arXiv:2510.02369v3 Announce Type: replace-cross
Abstract: Current LLM agents typically lack instance-level context, which comprises concrete facts such as environment structure, system configurations, and local mechanics. Consequently, existing methods are forced to intertwine exploration with task execution. This coupling leads to redundant interactions and fragile decision-making, as agents must repeatedly rediscover the same information for every new task. To address this, we introduce AutoContext, a method that decouples exploration from task solving. AutoContext performs a systematic, one-off exploration to construct a reusable knowledge graph for each environment instance. This structured context allows off-the-shelf agents to access necessary facts directly, eliminating redundant exploration. Experiments across TextWorld, ALFWorld, Crafter, and InterCode-Bash demonstrate substantial gains: for example, the success rate of a ReAct agent on TextWorld improves from 37% to 95%, highlighting the critical role of structured instance context in efficient agentic systems. Read More
Glitches in the Attention MatrixTowards Data Science A history of Transformer artifacts and the latest research on how to fix them
The post Glitches in the Attention Matrix appeared first on Towards Data Science.
A history of Transformer artifacts and the latest research on how to fix them
The post Glitches in the Attention Matrix appeared first on Towards Data Science. Read More
Research shows UK young adults would use AI for financial guidanceAI News Research from Cleo AI indicates that young adults are turning to artificial intelligence for financial advice to help them manage their money and develop more sustainable financial habits. The study surveyed 5,000 UK adults aged 28 to 40 and found that the majority are saving significantly less than they would like. In this context, interest
The post Research shows UK young adults would use AI for financial guidance appeared first on AI News.
Research from Cleo AI indicates that young adults are turning to artificial intelligence for financial advice to help them manage their money and develop more sustainable financial habits. The study surveyed 5,000 UK adults aged 28 to 40 and found that the majority are saving significantly less than they would like. In this context, interest
The post Research shows UK young adults would use AI for financial guidance appeared first on AI News. Read More
Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for DevelopersMarkTechPost Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. MedGemma 1.5, small multimodal model for real clinical data MedGemma
The post Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for Developers appeared first on MarkTechPost.
Google Research has expanded its Health AI Developer Foundations program (HAI-DEF) with the release of MedGemma-1.5. The model is released as open starting points for developers who want to build medical imaging, text and speech systems and then adapt them to local workflows and regulations. MedGemma 1.5, small multimodal model for real clinical data MedGemma
The post Google AI Releases MedGemma-1.5: The Latest Update to their Open Medical AI Models for Developers appeared first on MarkTechPost. Read More
Microsoft has started rolling out new Secure Boot certificates that will automatically install on eligible Windows 11 24H2 and 25H2 systems. […] Read More
Microsoft has released Windows 11 KB5074109 and KB5073455 cumulative updates for versions 25H2/24H2 and 23H2 to fix security vulnerabilities, bugs, and add new features. […] Read More
ServiceNow tacked agentic AI onto a largely unguarded legacy chatbot, exposing customers’ data and connected systems. Read More
Securing Amazon Bedrock cross-Region inference: Geographic and globalArtificial Intelligence In this post, we explore the security considerations and best practices for implementing Amazon Bedrock cross-Region inference profiles. Whether you’re building a generative AI application or need to meet specific regional compliance requirements, this guide will help you understand the secure architecture of Amazon Bedrock CRIS and how to properly configure your implementation.
In this post, we explore the security considerations and best practices for implementing Amazon Bedrock cross-Region inference profiles. Whether you’re building a generative AI application or need to meet specific regional compliance requirements, this guide will help you understand the secure architecture of Amazon Bedrock CRIS and how to properly configure your implementation. Read More
An introduction to AWS BedrockTowards Data Science The how, why, what and where of Amazon’s LLM access layer
The post An introduction to AWS Bedrock appeared first on Towards Data Science.
The how, why, what and where of Amazon’s LLM access layer
The post An introduction to AWS Bedrock appeared first on Towards Data Science. Read More
Veo 3.1 Ingredients to Video: More consistency, creativity and controlGoogle DeepMind News Our latest Veo update generates lively, dynamic clips that feel natural and engaging — and supports vertical video generation.
Our latest Veo update generates lively, dynamic clips that feel natural and engaging — and supports vertical video generation. Read More
