Papers by Hongyang Su

1 papers
Intent-Driven Semantic ID Generation for Grounded Conversational News Recommendation (2026.acl-industry)

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Challenge: a new approach to news recommendation grounds each suggestion in a rapidly evolving article corpus while addressing implicit user intents that lack explicit retrievable keywords.
Approach: They propose an intent-driven Semantic ID generation paradigm to address these challenges . they map diverse intents to hierarchical SID prefixes and then fuzzy-match them to current news pool .
Outcome: The proposed model achieves 0% hallucination and 12.4% L1 match on a mainstream Chinese news platform.

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