Tag: instruction tuning
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Joint Flashback Adaptation to Prevent Catastrophic Forgetting
Discover Joint Flashback Adaptation, a task-agnostic method that reduces forgetting and boosts generalization in large language models.
Fragility of Instruction-Tuned LLMs: One Token Collapse
Discover how instruction-tuned LLMs face major performance drops from minor constraints, revealing critical fragility in AI response quality.
How LLMs Follow Instructions: Coordinated Skill Use Explained
Discover how large language models follow instructions through skillful coordination, not a universal mechanism, based on recent AI research findings.
Cultural Differences in Moral Judgments via Large Language Models
Discover how large language models reflect cultural variations in moral judgments and the impact of training data diversity on their accuracy.
Konkani LLM: Multi-Script Tuning for Low-Resource Language
Discover how Konkani LLM uses multi-script tuning and synthetic data to boost AI performance in this low-resource Indian language.