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Taste-Bench is a benchmark that evaluates LLMs' ability to choose optimal paths at decision forks in long-horizon tasks, using trajectories from software engineering and machine learning research, with a leaderboard indicating current top models like GPT-5.6 Sol achieving 59.7% accuracy.