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Posts by Collection
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publications
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning
Published in ACL 2024, 2024
INTERS in an instruction tuning dataset for IR
Recommended citation: Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen: INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) http://snownation101.github.io/files/INTERS.pdf
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
Published in arXiv, 2024
FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 32 pre-processed benchmark RAG datasets and 13 state-of-the-art RAG algorithms.
Recommended citation: Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Zhicheng Dou, Ji-Rong Wen: Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. CoRR abs/2406.18676 (2024) http://snownation101.github.io/files/FlashRAG.pdf
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation
Published in arXiv, 2024
DPA-RAG is a universal framework for aligning diverse preference knowledge within RAG systems, consisting of three main components: Preference Knowledge Construction, Reranker-LLM Alignment and LLM Self-Alignment.
Recommended citation: Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen: INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) http://snownation101.github.io/files/DPA.pdf
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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