3 papers
cs.IR2026
Adapting Generative Recommenders for Multi-Turn Interaction
Yu-Chen Den, Zhi Rui Tam, Yung-Yu Shih +4
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…
cs.IR2026
ICICLE: Expanding Retrieval with In-Context Documents
Yu-Chen Den, Yung-Yu Shih, Zhi Rui Tam +4
Generative retrieval (GR) maps queries directly to document identifiers (docids) using parametric knowledge, However, this design makes corpus expansion costly: adding new document…
cs.CL2025
Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering
Ting-Wen Ko, Jyun-Yu Jiang, Pu-Jen Cheng
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating external documents at inference time, enabling up-to-date knowledge access without costl…