Shiyu Ni

According to our database, Shiyu Ni authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality.

Minzhu Tu, Shiyu Ni, Keping Bi

CoRR, April, 2026

Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers.

Yuhan Wang, Shiyu Ni, Zhikai Ding, Zihang Zhan, Yuanzi Li, Keping Bi

CoRR, February, 2026

2025

Deep Research: A Systematic Survey.

Zhengliang Shi, Yiqun Chen, Haitao Li, Weiwei Sun, Shiyu Ni, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, Minjun Zhu, Qiujie Xie, Xinyu Guo, Qu Yang, Jiayi Wu, Jujia Zhao, Xiaqiang Tang, Xinbei Ma, Cunxiang Wang, Jiaxin Mao, Qingyao Ai, Jen-tse Huang, Wenxuan Wang, Yue Zhang, Yiming Yang, Zhaopeng Tu, Zhaochun Ren

CoRR, December, 2025

Annotation-Efficient Universal Honesty Alignment.

Shiyu Ni, Keping Bi, Jiafeng Guo, Minghao Tang, Jingtong Wu, Zengxin Han, Xueqi Cheng

CoRR, October, 2025

The Role of Parametric Injection-A Systematic Study of Parametric Retrieval-Augmented Generation.

Minghao Tang, Shiyu Ni, Jingtong Wu, Zengxin Han, Keping Bi

CoRR, October, 2025

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception.

Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng

CoRR, May, 2025

Correction: Wu et al. Critical Factors for Predicting Users' Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426.

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

Inf., 2025

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

Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi

Proceedings of the 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 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

Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs.

Zhikai Ding, Shiyu Ni, Keping Bi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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