---
title: "Tingchen Fu — author profile and papers — Elamur Research"
description: "Tingchen Fu, Shanghai Artificial Intelligence Laboratory: 2 papers on Elamur Research (2023–2026), h-index 5 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/tingchen-fu/"
---
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# Tingchen Fu

Tingchen Fu has 2 papers in our library, in 2023–2026, 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 [Yafu Li](https://md.research.elamur.ai/free/en/authors/yafu-li/), [Chen Xu](https://md.research.elamur.ai/free/en/authors/chen-xu/), [Deng Cai](https://md.research.elamur.ai/free/en/authors/deng-cai/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5015920766) · [ORCID](https://orcid.org/0000-0003-3692-729X) · [**h-index 5**](https://openalex.org/authors/A5015920766) · [21 works](https://openalex.org/works?filter=author.id:A5015920766) · [565 citations](https://openalex.org/works?filter=author.id:A5015920766&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tingchen-fu/#papers) · [🔗 Cited 506 times in our library](https://md.research.elamur.ai/free/en/authors/tingchen-fu/cited-by/) · [⭐ Paper Stars ranking: #2503](https://md.research.elamur.ai/free/en/paper-stars/page/26/#star-2503)

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=Tingchen+Fu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tingchen+Fu) · [dblp](https://dblp.org/search?q=Tingchen+Fu) · [ACL Anthology](https://aclanthology.org/search/?q=Tingchen+Fu)

## Affiliations

[🎓**Renmin University of China** Beijing · China 2022–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/tingchen-fu/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/tingchen-fu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/)** *(2023 · 977 citations)* Large language models often write fluent text that is wrong, and this survey gathers recent work on how to spot, explain and reduce such hallucinations.
2. **[Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/fu-2026-scaling-reasoning-losing-control-evaluating/)** *(2026 · 12 citations)* Large reasoning models (LRMs) excel at hard math but often ignore simple user directives. Existing instruction-following benchmarks such as IFEval and FollowBench rely on easy queries that trigger little reasoning, so they do not reflect how LRMs are actually used. To address this, the authors built MathIF, a…

## Co-authors here

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

- [Yafu Li](https://md.research.elamur.ai/free/en/authors/yafu-li/) ×2
- [Chen Xu](https://md.research.elamur.ai/free/en/authors/chen-xu/)
- [Deng Cai](https://md.research.elamur.ai/free/en/authors/deng-cai/)
- [Lemao Liu](https://md.research.elamur.ai/free/en/authors/lemao-liu/)
- [Leyang Cui](https://md.research.elamur.ai/free/en/authors/leyang-cui/)
- [Longyue Wang](https://md.research.elamur.ai/free/en/authors/longyue-wang/)
- [Xiaoye Qu](https://md.research.elamur.ai/free/en/authors/xiaoye-qu/)
- [Xinting Huang](https://md.research.elamur.ai/free/en/authors/xinting-huang/)
- [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/)
- [Yu Zhang](https://md.research.elamur.ai/free/en/authors/yu-zhang/)
- [Yue Zhang](https://md.research.elamur.ai/free/en/authors/yue-zhang/)
- [Yulong Chen](https://md.research.elamur.ai/free/en/authors/yulong-chen/)

## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/): [Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/cl/2023/)

## Cited by

Papers of our library cite their works 506 times (of the 149,439 papers whose bibliographies we read); [96 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tingchen-fu/cited-by/).

Updated 30 October 2026
