---
title: "Qi Cao — author profile and papers — Elamur Research"
description: "Qi Cao, Chinese Academy of Sciences: 3 papers on Elamur Research (2024–2025), h-index 15 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/qi-cao/"
---
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# Qi Cao

Qi Cao has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/), [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/), [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5082827135) · [ORCID](https://orcid.org/0000-0003-3454-4789) · [Wikidata](https://www.wikidata.org/wiki/Q130800685) · [**h-index 15**](https://openalex.org/authors/A5082827135) · [58 works](https://openalex.org/works?filter=author.id:A5082827135) · [1,205 citations](https://openalex.org/works?filter=author.id:A5082827135&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qi-cao/#papers) · [🔗 Cited 41 times in our library](https://md.research.elamur.ai/free/en/authors/qi-cao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7596](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7596)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2017–2026 · 41 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2017–2026 · 38 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2019–2023 · 6 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/qi-cao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/qi-cao/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/)** *(2024 · 37 citations)* Hybrid question-answering systems give an LLM two kinds of context: passages it wrote itself and passages retrieved from an external corpus such as Wikipedia.
2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/)** *(2025 · 12 citations)* LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
3. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/)** *(2025 · 9 citations)* Published model-editing results often look nearly perfect. This paper asks whether those results hold once the evaluation reflects how an edited LLM would actually be used. The authors build QAEdit, a benchmark drawn from Natural Questions, TriviaQA and SimpleQA. GPT-4 adds the subjects and paraphrased prompts that…

## All works

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

1. **[Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field ↗](https://doi.org/10.1609/aaai.v35i5.16582) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Bingbing Xu et al.*2021 · 79 citations*
2. **[Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?](https://md.research.elamur.ai/free/en/papers/tan-2024-blinded-generated-contexts-how-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hexiang Tan, Fei Sun, Wanli Yang, et al.*2024 · 37 citations*
3. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hexiang Tan, Fei Sun, Sha Liu, et al.*2025 · 12 citations*
4. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanli Yang, Fei Sun, Jiajun Tan, et al.*2025 · 9 citations*

## Co-authors here

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

- [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/) ×3
- [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×3
- [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/) ×2
- [Huawei Shen](https://md.research.elamur.ai/free/en/authors/huawei-shen/) ×2
- [Wanli Yang](https://md.research.elamur.ai/free/en/authors/wanli-yang/) ×2
- [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) ×2
- [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/)
- [Du Su](https://md.research.elamur.ai/free/en/authors/du-su/)
- [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/)
- [Xin Chen](https://md.research.elamur.ai/free/en/authors/xin-chen/)
- [Xinyu Ma](https://md.research.elamur.ai/free/en/authors/xinyu-ma/)
- [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qi-cao/cited-by/).

Updated 31 October 2026
