---
title: "Shiyu Ni — author profile and papers — Elamur Research"
description: "Shiyu Ni, Chinese Academy of Sciences: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/shiyu-ni/"
---
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# Shiyu Ni

Shiyu Ni has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Keping Bi](https://md.research.elamur.ai/free/en/authors/keping-bi/), [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/), [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5103078046) · [ORCID](https://orcid.org/0009-0001-7965-7771) · [**h-index 3**](https://openalex.org/authors/A5103078046) · [15 works](https://openalex.org/works?filter=author.id:A5103078046) · [27 citations](https://openalex.org/works?filter=author.id:A5103078046&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shiyu-ni/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/shiyu-ni/cited-by/) · [⭐ Paper Stars ranking: #9721](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9721)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shiyu+Ni) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shiyu+Ni) · [dblp](https://dblp.org/search?q=Shiyu+Ni) · [ACL Anthology](https://aclanthology.org/search/?q=Shiyu+Ni)

## Affiliations

[🔬**Institute of Computing Technology** Beijing · China 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 7 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shiyu-ni/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shiyu-ni/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception](https://md.research.elamur.ai/free/en/papers/ni-2025-fully-exploiting-llm-internal-states/)** *(2025 · 9 citations)* LLMs often answer confidently even when they are wrong, which shows they do not reliably sense where their knowledge ends.
2. **[How Long Reasoning Chains Influence LLMs' Judgment of Answer Factuality](https://md.research.elamur.ai/free/en/papers/tu-2026-how-long-reasoning-chains-influence/)** *(2026 · 3 citations)* LLM judges are increasingly used in place of human annotators, but they are prone to surface biases and usually see only a final answer.

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Keping Bi](https://md.research.elamur.ai/free/en/authors/keping-bi/) ×2
- [Baolong Bi](https://md.research.elamur.ai/free/en/authors/baolong-bi/)
- [Jiafeng Guo](https://md.research.elamur.ai/free/en/authors/jiafeng-guo/)
- [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shiyu-ni/cited-by/).

Updated 31 October 2026
