الباحثون

Yung-Yu Shih

المنشورات 2

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Adapting Generative Recommenders for Multi-Turn Interaction

Yu-Chen Den, Zhi Rui Tam, Yung-Yu Shih وآخرون · 2026

Generative recommenders decode items from a user's interaction history, but offer no way for users to correct a recommendation that misses their current intent. Adding conversation is natural since items and words share same output space, yet training the model to converse may overwrite the history-to-item mapping it r …

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MERGE: Multi-LLM Ensemble for Retrieval via Generative Enrichment

Tzu-I Ho, Yung-Yu Shih, Shang-Yu Su وآخرون · 2026

Large Language Models (LLMs) are increasingly used to enrich user queries in information retrieval (IR) so that a standard retriever such as BM25 can bridge vocabulary gaps with the target corpus. Any single LLM, however, is limited by its training data and architectural biases, and its enrichment behavior depends on h …

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