…Siyuan Guo , , , , Abstract Deployment-time learning enables large language model agents to adapt continuously during operation through episodic memory and contextual bandit optimization, improving performance across diverse tasks. AI-generated summary Large…
…Scaling Terminal-Agent Environments via Agent Skills (2026) MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills? (2026) AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? (2026…
Papers arxiv:2605.31170 Emergent Languages in Populations of Language Model Agents: From Token Efficiency to Oversight Evasion Published on May 29 Submitted by Federico Torrielli on Jun 1 AI Safety & Interpretability…
…AI-generated summary To tackle long-context reasoning tasks without the quadratic complexity of standard attention mechanisms , approaches based on agent memory have emerged, which typically maintain a dynamically updated memory when…
…A Benchmark for Real-World, Long-Horizon Agent Evaluation (2026) OpenComputer: Verifiable Software Worlds for Computer-Use Agents (2026) AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? (2026) SWE-Marathon…
…Evaluating Persistent Memory and Reasoning with Multi-Session Agentic Conversations (2026) AgentCanary: A Security Evaluation Framework for Autonomous AI Agents in Real Executable Environments (2026) SafeAgent: A Runtime Protection Architecture for Agentic…
…AI-generated summary A persistent skill library allows language model agents to reuse successful strategies across tasks. Maintaining such a library requires three coupled capabilities. The agent selects a relevant skill, utilizes…
…AI-generated summary Agentic modeling aims to transform LLMs into autonomous agents capable of solving complex tasks through planning , reasoning , tool use , and multi-turn interaction with environments. Despite major investment, open…
…AI-generated summary Existing memory-augmented LLM agents often treat memory as a static repository with pre-defined representations and fixed retrieval pipelines, which is brittle in dynamic agentic environments where feedback…
…AI-generated summary Social deduction games have become a popular testbed for probing reasoning, deception, coordination, and belief modeling in Large Language Model (LLM) agents. However, most environments are scored only by…