Papers by Pruthvi Patel
Is a Question Decomposition Unit All We Need? (2022.emnlp-main)
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| Challenge: | Large Language Models (LMs) have achieved state-of-the-art performance on many NLP benchmarks. |
| Approach: | They propose to decompose a hard question into simpler questions that are easier for models to answer. |
| Outcome: | The proposed approach significantly improves model performance (24% for GPT3 and 29% for RoBERTa-SQuAD along with a symbolic calculator) by decomposing a hard question into simpler questions that are easier for models to answer. |