Long-Horizon Terminal Agent Benchmark
_akhaliq · x · 2026-07-14
This points to the paper Long-Horizon-Terminal-Bench, which focuses on testing the capability boundaries of agents in long-horizon terminal tasks.
The paper's title indicates the authors are focused on:
- Whether tasks require continuous, multi-step operations
- Whether agents can maintain stable execution within a terminal environment
- How to use dense reward-based scoring to more meticulously measure completion quality
Based on its naming and description, this work is an evaluation benchmark/methodology designed for agents. It systematically examines model performance in long-chain terminal tasks, rather than just being another model trying to top the leaderboard.
Related event: Tencent Hunyuan Releases Long-Horizon Terminal Bench Exposing Model Limits(6 posts)→
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