Papers with LLM-generated step-by-step
Evaluating Spatiotemporal Consistency in Automatically Generated Sewing Instructions (2025.emnlp-main)
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| Challenge: | Existing methods to generate instructions using large language models require spatiotemporal awareness of multiple objects and their surroundings. |
| Approach: | They propose a tree-based evaluation metric for LLM-generated step-by-step assembly instructions that more accurately reflects spatiotemporal aspects of construction than traditional metrics such as BLEU and BERT similarity scores. |
| Outcome: | The proposed metric better correlates with manually-annotated error counts, and is more robust against artificially-constructed counterfactual examples that are specifically constructed to confound metrics that rely on textual similarity. |