---
title: "Feihu Che — author profile and papers — Elamur Research"
description: "Feihu Che, Beijing National Research Center for Information Science and Technology: 2 papers on Elamur Research (2025–2026), h-index 7…"
canonical: "https://research.elamur.ai/free/en/authors/feihu-che/"
---
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# Feihu Che

Feihu Che 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 [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/), [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/), [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5014276343) · [ORCID](https://orcid.org/0000-0001-7921-7154) · [**h-index 7**](https://openalex.org/authors/A5014276343) · [22 works](https://openalex.org/works?filter=author.id:A5014276343) · [247 citations](https://openalex.org/works?filter=author.id:A5014276343&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/feihu-che/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/feihu-che/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10358](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10358)

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

## Affiliations

[🎓**Tsinghua University** Beijing · China 2023–2026 · 9 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2023 · 5 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2021–2023 · 4 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021 · 2 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 6 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [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/feihu-che/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/feihu-che/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/)** *(2025 · 19 citations)* RAG is widely used to reduce LLM hallucinations, but real retrieval results are messy. Earlier robustness studies looked at only a few noise types, usually three or fewer, and assumed noise always hurts. This paper builds a broader picture. It defines seven retrieval noise types grounded in linguistics and releases…
2. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/)** *(2026)* Standard in-context learning (ICL) teaches LLMs by showing worked examples. The model then copies their surface form, which breaks down on hard multi-step problems. Results also depend heavily on how the demonstrations are chosen and ordered. ThoughtICR swaps concrete examples for abstract reasoning strategies.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[ParamE: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion ↗](https://doi.org/10.1609/aaai.v34i03.5665) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Feihu Che et al.*2020 · 55 citations*
2. **[Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2025-pandora-s-box-or-aladdin/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Shuai Zhang, Feihu Che, et al.*2025 · 19 citations*
3. **[Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-beyond-examples-automated-thought-level/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinyang Wu, Mingkuan Feng, Shuai Zhang, et al.*2026*

## Co-authors here

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

- [Jianhua Tao](https://md.research.elamur.ai/free/en/authors/jianhua-tao/) ×2
- [Jinyang Wu](https://md.research.elamur.ai/free/en/authors/jinyang-wu/) ×2
- [Mingkuan Feng](https://md.research.elamur.ai/free/en/authors/mingkuan-feng/) ×2
- [Shuai Zhang](https://md.research.elamur.ai/free/en/authors/shuai-zhang/) ×2
- [Chonghua Liao](https://md.research.elamur.ai/free/en/authors/chonghua-liao/)
- [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/)
- [Ling Yang](https://md.research.elamur.ai/free/en/authors/ling-yang/)
- [Zheng Lian](https://md.research.elamur.ai/free/en/authors/zheng-lian/)
- [Zhengqi Wen](https://md.research.elamur.ai/free/en/authors/zhengqi-wen/)

## 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/)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/feihu-che/cited-by/).

Updated 2 November 2026
