Papers by Shunning Liu
Weak2Wise: An Automated, Lightweight Framework for Weak-LLM-Friendly Reasoning Synthesis (2025.findings-emnlp)
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| Challenge: | Existing approaches to finetuning large language models rely on expensive manual annotations or auxiliary models and fail to address the unique constraints of smaller "weak" LLMs. |
| Approach: | Weak2Wise is a fully automated framework for synthesizing highquality, weak-LLM-friendly reasoning traces. |
| Outcome: | Weak2Wise is a fully automated, lightweight framework for synthesizing highquality, weak-LLM-friendly reasoning traces. |