Unveiling the generalization power of fine-tuned large language models
While Large Language Models (LLMs) have demonstrated exceptional multitasking abilities,
fine-tuning these models on downstream, domain-specific datasets is often necessary to …
fine-tuning these models on downstream, domain-specific datasets is often necessary to …
Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training
While large language models (LLMs) have achieved impressive performance across diverse
tasks, recent studies showcase that causal LLMs suffer from the “reversal curse”. It is a …
tasks, recent studies showcase that causal LLMs suffer from the “reversal curse”. It is a …