CAT-BENCH: Evaluating Language Models' Understanding of Temporal Dependencies in Procedural Texts

CAT-BENCH: Evaluating Language Models' Understanding of Temporal Dependencies in Procedural Texts
Understanding how LLMs comprehend natural language plans, such as instructions and recipes, is crucial for their dependable use in decision-making systems. A critical aspect of plans is their temporal sequencing, which reflects the causal relationships between steps. Planning, integral to decision-making processes, has been extensively studied across domains like robotics and embodied environments. Effective utilization, […]










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