most citedA Survey on Enhancing Causal Reasoning Ability of Large Language Models

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cs.IR2026

Generate What You Can Trust: Content Credibility in Generative Recommenders

Zhuo Cai, Guanghao Wu, Shoujin Wang +2

Generative recommendation (GR) represents items with semantic IDs (i.e., discrete token sequences) and generates target item tokens as recommendations. Despite its promising result…