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2020 – today
- 2025
[j2]Yue Wu
, Qianling Jiang, Shiyu Ni, Hui'e Liang:
Correction: Wu et al. Critical Factors for Predicting Users' Acceptance of Digital Museums for Experience-Influenced Environments. Information 2021, 12, 426. Inf. 16(11): 923 (2025)- [c7]Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. ACL (1) 2025: 24315-24329 - [c6]Zhikai Ding, Shiyu Ni, Keping Bi:
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs. EMNLP (Findings) 2025: 19832-19848 - [c5]Baolong Bi, Shenghua Liu, Yiwei Wang, Lingrui Mei, Junfeng Fang, Hongcheng Gao, Shiyu Ni, Xueqi Cheng:
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness. ICLR 2025 - [c4]Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi:
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation. SIGIR-AP 2025: 41-46 - [i11]Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng:
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. CoRR abs/2502.11677 (2025) - [i10]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception. CoRR abs/2505.17537 (2025) - [i9]Minghao Tang, Shiyu Ni, Jiafeng Guo, Keping Bi:
Injecting External Knowledge into the Reasoning Process Enhances Retrieval-Augmented Generation. CoRR abs/2507.19333 (2025) - [i8]Zhikai Ding, Shiyu Ni, Keping Bi:
Do LVLMs Know What They Know? A Systematic Study of Knowledge Boundary Perception in LVLMs. CoRR abs/2508.19111 (2025) - [i7]Minghao Tang, Shiyu Ni, Jingtong Wu, Zengxin Han, Keping Bi:
The Role of Parametric Injection-A Systematic Study of Parametric Retrieval-Augmented Generation. CoRR abs/2510.12668 (2025) - [i6]Shiyu Ni, Keping Bi, Jiafeng Guo, Minghao Tang, Jingtong Wu, Zengxin Han, Xueqi Cheng:
Annotation-Efficient Universal Honesty Alignment. CoRR abs/2510.17509 (2025) - [i5]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:
Deep Research: A Systematic Survey. CoRR abs/2512.02038 (2025) - 2024
- [c3]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. ACL (Findings) 2024: 11375-11388 - [c2]Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo:
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? CCIR 2024: 124-135 - [i4]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024) - [i3]Shiyu Ni, Keping Bi, Lulu Yu, Jiafeng Guo:
Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence? CoRR abs/2408.09773 (2024) - [i2]Lulu Yu, Keping Bi, Shiyu Ni, Jiafeng Guo:
Contextual Dual Learning Algorithm with Listwise Distillation for Unbiased Learning to Rank. CoRR abs/2408.09817 (2024) - 2023
- [c1]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. SIGIR-AP 2023: 1-10 - [i1]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. CoRR abs/2310.00703 (2023) - 2021
- [j1]Yue Wu, Qianling Jiang, Shiyu Ni, Hui'e Liang:
Critical Factors for Predicting Users' Acceptance of Digital Museums for Experience-Influenced Environments. Inf. 12(10): 426 (2021)
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