Terrarium: Growing Personal Assistants via Scalable Synthesis of App Worlds
cs.LG
Submitted: 2026-10-10
Updated: 2026-10-10
Code: https://github.com/THUDM/slime
Sources
- $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
- Towards General Agentic Intelligence via Environment Scaling
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
- Kimi K2: Open Agentic Intelligence
- GPT-4 Technical Report
- Gorilla: Large Language Model Connected with Massive APIs
- ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
- UI-TARS: Pioneering Automated GUI Interaction with Native Agents
- AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis
- RestGPT: Connecting Large Language Models with Real-World RESTful APIs
- AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents
- Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning
- UI-Oceanus: Scaling GUI Agents with Synthetic Environmental Dynamics
- AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials
- Qwen3 Technical Report
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