Papers by Se Joo
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning (2023.emnlp-main)
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| Challenge: | Language models with less than 100B parameters perform poorly on chain-of-thought reasoning . we aim to equip smaller LMs with the step-by-step reasoning capability . |
| Approach: | They propose to equip smaller LMs with the step-by-step reasoning capability by tuning with CoT rationales. |
| Outcome: | The proposed dataset outperforms large LMs on 4 domain-specific tasks even with demonstrations . |