Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents

G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning

Paper: “MEMRL: SELF-EVOLVING AGENTS VIA RUNTIME REINFORCEMENT LEARNING ON EPISODIC MEMORY” Open-Source Code

Building Open LLM Web Agents with Self-Evolving Online Curriculum RL

AgentEvolver: Towards Efficient Self-Evolving Agent System

Agent0 Series: Self-Evolving Agents from Zero Data

Agent Security Bench (ASB)

A Benchmark for Evaluating Safety and Trustworthiness in Web Agents for Enterprise Scenarios

Official Implementation of "ToolSafe: Enhancing Tool Invocation Safety of LLM-based Agents via Proactive Step-level Guardrail and Feedback"

[ICML'25] MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

[NeurIPS 2025] ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio–Language Models

Training VLM agents with multi-turn reinforcement learning

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Audiopedia: Audio QA with Knowledge

Code, Dataset, and Pretrained Models for Audio and Speech Large Language Model "Listen, Think, and Understand".

Code for the paper: GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities

Learning materials of Transformer, including my code, XMind, PDF and so on