PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval. - Ruiyang Ren; Shangwen Lv; Yingqi Qu; Jing Liu 022; Wayne Xin Zhao; Qiaoqiao She; Hua Wu 003; Haifeng Wang 001; Ji-Rong Wen (ACL/IJCNLP (Findings), 2021)

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking. - Ruiyang Ren; Yingqi Qu; Jing Liu 022; Wayne Xin Zhao; Qiaoqiao She; Hua Wu 003; Haifeng Wang 001; Ji-Rong Wen (EMNLP (1), 2021)

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. - Yingqi Qu; Yuchen Ding; Jing Liu 022; Kai Liu 023; Ruiyang Ren; Wayne Xin Zhao; Daxiang Dong; Hua Wu 003; Haifeng Wang 001 (NAACL-HLT, 2021)

DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine. - Yifu Qiu; Hongyu Li; Yingqi Qu; Ying Chen 011; Qiaoqiao She; Jing Liu 022; Hua Wu 003; Haifeng Wang 001 (EMNLP, 2022)

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine. - Yifu Qiu; Hongyu Li; Yingqi Qu; Ying Chen 011; Qiaoqiao She; Jing Liu 022; Hua Wu 003; Haifeng Wang 001 (CoRR, 2022)

A Thorough Examination on Zero-shot Dense Retrieval. - Ruiyang Ren; Yingqi Qu; Jing Liu 022; Xin Zhao 018; Qifei Wu; Yuchen Ding; Hua Wu 003; Haifeng Wang 001; Ji-Rong Wen (EMNLP (Findings), 2023)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. - Ruiyang Ren; Yuhao Wang 007; Yingqi Qu; Wayne Xin Zhao; Jing Liu 022; Hao Tian 005; Hua Wu 003; Ji-Rong Wen; Haifeng Wang 001 (CoRR, 2023)

Self-Evaluation of Large Language Model based on Glass-box Features. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao; Wenpeng Lu (EMNLP (Findings), 2024)

BASES: Large-scale Web Search User Simulation with Large Language Model based Agents. - Ruiyang Ren; Peng Qiu; Yingqi Qu; Jing Liu 022; Xin Zhao 018; Hua Wu 003; Ji-Rong Wen; Haifeng Wang 001 (EMNLP (Findings), 2024)

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Models are Task-specific Classifiers. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Tiejun Zhao (CoRR, 2024)

Self-Evaluation of Large Language Model based on Glass-box Features. - Hui Huang 021; Yingqi Qu; Jing Liu; Muyun Yang; Tiejun Zhao (CoRR, 2024)

An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4. - Hui Huang 021; Xingyuan Bu; Hongli Zhou 001; Yingqi Qu; Jing Liu; Muyun Yang; Bing Xu; Tiejun Zhao (ACL (Findings), 2025)

Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. - Ruiyang Ren; Yuhao Wang 007; Yingqi Qu; Wayne Xin Zhao; Jing Liu 003; Hua Wu 003; Ji-Rong Wen; Haifeng Wang 001 (COLING, 2025)

A New Insight into the Epipole from Four Point Correspondences in Two Calibrated Views. - Yang Guo; Yingqi Qu (J. Math. Imaging Vis., 2025)