SLIFT decomposes user feedback into Fix, Spec, and Null parts, then trains a Generalist adapter for fixes and a Specialist adapter for optional refinements, improving LLMs on MemoryBench and WildFB.
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Different Feedback, Different Updates: Selective Self-Learning from User Interactions for Large Language Models
SLIFT decomposes user feedback into Fix, Spec, and Null parts, then trains a Generalist adapter for fixes and a Specialist adapter for optional refinements, improving LLMs on MemoryBench and WildFB.