Shiyu Ni

According to our database, Shiyu Ni authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation.

Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi

CoRR, July, 2025

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, May, 2025

Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness.

Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception.

Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank.

Lulu Yu, Keping Bi, Shiyu Ni, Jiafeng Guo

CoRR, 2024

Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?

Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo

Proceedings of the Information Retrieval - 30th China Conference, 2024

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

A Comparative Study of Training Objectives for Clarification Facet Generation.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

2021

Critical Factors for Predicting Users' Acceptance of Digital Museums for Experience-Influenced Environments.

Yue Wu, Qianling Jiang, Shiyu Ni, Hui'e Liang

Inf., 2021