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Qi Cao

Qi Cao has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Fei Sun, Xueqi Cheng, Hexiang Tan.

3 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 15 · 58 works · 1,205 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 41 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7596

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2017–2026 · 41 paperscurrent🔬Institute of Computing TechnologyBeijing · China2017–2026 · 38 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2019–2023 · 6 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20252 papers20241 paper

 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? (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 (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 (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 ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetBingbing Xu et al.2021 · 79 citations
  2. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 citations
  3. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Hexiang Tan, Fei Sun, Sha Liu, et al.2025 · 12 citations
  4. The Mirage of Model Editing: Revisiting Evaluation in the WildAnnual Meeting of the Association for Computational Linguistics (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.

Venues

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

 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 →.

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