WorkBorne: Discovering Agentic Tasks from Real-World Artifact Transitions
cs.AI, cs.CL
Submitted: 2026-10-10
Updated: 2026-10-10
Terminology
Sources
- The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
- TUA-Bench: A Benchmark for General-Purpose Terminal-Use Agents
- Terminal-World: Scaling Terminal-Agent Environments via Agent Skills
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
- Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence
- Toward Scalable Terminal Task Synthesis via Skill Graphs
- Endless Terminals: Scaling RL Environments for Terminal Agents
- Scaling Synthetic Data Creation with 1,000,000,000 Personas
- GLM-5: from Vibe Coding to Agentic Engineering
- RideWay: Benchmarking Efficient Task Completion for Tool-Using Language Agents
- Tmax: A simple recipe for terminal agents
- Recursive Synthesis for Long-Horizon Terminal Tasks
- Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading
- CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion
- WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents
- CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks
- Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
- Meta-Task: Turning Terminal Task Synthesis into a Terminal Task for Scalable Agent Training
- On Data Engineering for Scaling LLM Terminal Capabilities
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