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New DRIFT method enhances LLM reasoning for aspect sentiment prediction

Researchers have developed DRIFT, a novel method for Aspect Sentiment Quadruple Prediction (ASQP) that directly injects linearized dependency parse trees into LLM prompts. This approach allows models to reason over expl…