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Found 3 papers, 2 papers with code
Learning or Self-aligning? Rethinking Instruction Fine-tuning
Instruction Fine-tuning~(IFT) is a critical phase in building large language models~(LLMs).
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
Various Large Language Models~(LLMs) from the Generative Pretrained Transformer(GPT) family have achieved outstanding performances in a wide range of text generation tasks.
A Task-oriented Dialog Model with Task-progressive and Policy-aware Pre-training
A global policy consistency task is designed to capture the multi-turn dialog policy sequential relation, and an act-based contrastive learning task is designed to capture similarities among samples with the same dialog policy.
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