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Zhuoran Ran

2 accepted papers

2024

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning

EMNLP 2024main

The growing demand for larger-scale models in the development of Large Language Models (LLMs) poses challenges for efficient training within limited computational resources. Traditional fine-tuning methods often exhibit instability in multi-task learning and rely heavily on extensive training resour…

Cited by 1SourcePDFScholar
2024

Self-Renewal Prompt Optimizing with Implicit Reasoning

EMNLP 2024finding

The effectiveness of Large Language Models (LLMs) relies on their capacity to understand instructions and generate human-like responses. However, aligning LLMs with complex human preferences remains a significant challenge due to the potential misinterpretation of user prompts. Current methods for a…

Cited by 0SourcePDFScholar