Students Qingyao Ai Associate professor at the department of computer science & technology, tsinghua university. qingyaoai. Currently i’m working on integrating retrieval and generative ai techniques to build better information access systems and agents, including retrieval ranking optimization, retrieval augmented generation, automatic prompt refinement, continue learning for agents, and more.
Home Qingyao Ai 1）论文题目：comparing point wise and pair wise relevance judgment with brain signals，作者：zhu, shuqi;xie, xiaohui;ye, ziyi;ai, qingyao;liu, yiqun，来源期刊：journal of the association for. In memorybench, we simulate user feedback (logs) across tasks with diverse formats and domains, and test whether sota memory based llm systems can continually improve their performance by leveraging user feedback like other ai systems (e.g., search engines and recsys). Qingyao ai associate professor, dept. of cs&t, tsinghua university verified email at tsinghua.edu.cn homepage information retrieval machine learning. 2018 cikm'18 unbiased learning to rank: theory and practice qingyao ai, jiaxin mao, yiqun liu, w. bruce croft.
Home Qingyao Ai Qingyao ai associate professor, dept. of cs&t, tsinghua university verified email at tsinghua.edu.cn homepage information retrieval machine learning. 2018 cikm'18 unbiased learning to rank: theory and practice qingyao ai, jiaxin mao, yiqun liu, w. bruce croft. My research mainly focuses on information retrieval and related topics. currently i’m working on integrating retrieval and generative ai techniques to build better information access systems and. Facilitating the design, comparison and sharing of unbiased and online learning to rank algorithms. associate professor at the department of computer science & technology, tsinghua university. qingyaoai. Recent advances in large language models (llms) have significantly shaped the applications of ai in multiple fields, including the studies of legal intelligence. Findings of the association for computational linguistics, acl 2025, vienna, austria, july 27 august 1, 2025. proceedings of the 18th ntcir conference on evaluation of information access technologies, ntcir 2025, tokyo, japan, june 10 13, 2025.
Qingyaoai Qingyao Ai Github My research mainly focuses on information retrieval and related topics. currently i’m working on integrating retrieval and generative ai techniques to build better information access systems and. Facilitating the design, comparison and sharing of unbiased and online learning to rank algorithms. associate professor at the department of computer science & technology, tsinghua university. qingyaoai. Recent advances in large language models (llms) have significantly shaped the applications of ai in multiple fields, including the studies of legal intelligence. Findings of the association for computational linguistics, acl 2025, vienna, austria, july 27 august 1, 2025. proceedings of the 18th ntcir conference on evaluation of information access technologies, ntcir 2025, tokyo, japan, june 10 13, 2025.
Tutorial Qingyao Ai Recent advances in large language models (llms) have significantly shaped the applications of ai in multiple fields, including the studies of legal intelligence. Findings of the association for computational linguistics, acl 2025, vienna, austria, july 27 august 1, 2025. proceedings of the 18th ntcir conference on evaluation of information access technologies, ntcir 2025, tokyo, japan, june 10 13, 2025.
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