---
title: "Gabrielle Kaili-May Liu — author profile and papers in our library"
description: "Gabrielle Kaili-May Liu: 2 papers on Elamur Research (2025), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/gabrielle-kaili-may-liu/"
---
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# Gabrielle Kaili-May Liu

Gabrielle Kaili-May Liu has 2 papers in our library, in 2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Avi Caciularu](https://md.research.elamur.ai/free/en/authors/avi-caciularu/), [Idan Szpektor](https://md.research.elamur.ai/free/en/authors/idan-szpektor/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5107941641) · [**h-index 6**](https://openalex.org/authors/A5107941641) · [17 works](https://openalex.org/works?filter=author.id:A5107941641) · [207 citations](https://openalex.org/works?filter=author.id:A5107941641&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/gabrielle-kaili-may-liu/#papers) · [🔗 Cited 14 times in our library](https://md.research.elamur.ai/free/en/authors/gabrielle-kaili-may-liu/cited-by/) · [⭐ Paper Stars ranking: #9286](https://md.research.elamur.ai/free/en/paper-stars/page/93/#star-9286)

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=Gabrielle+Kaili-May+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Gabrielle+Kaili-May+Liu) · [dblp](https://dblp.org/search?q=Gabrielle+Kaili-May+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Gabrielle+Kaili-May+Liu)

## Affiliations

[🎓**South China Normal University** Guangzhou · China 2019–2025 · 8 papers](https://md.research.elamur.ai/free/en/universities/south-china-normal-university/) · [🎓**Tsinghua University** Beijing · China 2019–2020 · 3 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2024 · 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. 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 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](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/gabrielle-kaili-may-liu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MDCure: A Scalable Pipeline for Multi-Document Instruction-Following](https://md.research.elamur.ai/free/en/papers/liu-2025-mdcure-scalable-pipeline-multi-document/)** *(2025 · 11 citations)* Large language models can now read very long inputs, yet they still handle sets of related documents poorly.
2. **[MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-metafaith-faithful-natural-language-uncertainty/)** *(2025 · 6 citations)* LLMs often state false claims in confident language, which leads users to over-trust them. This paper studies "faithful calibration": whether the decisiveness of a model's wording matches its intrinsic uncertainty. This differs from standard factual calibration, which ties confidence to accuracy. The authors…

## Co-authors here

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

- [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) ×2
- [Avi Caciularu](https://md.research.elamur.ai/free/en/authors/avi-caciularu/) ×2
- [Idan Szpektor](https://md.research.elamur.ai/free/en/authors/idan-szpektor/) ×2
- [Bowen Shi](https://md.research.elamur.ai/free/en/authors/bowen-shi/)
- [Gal Yona](https://md.research.elamur.ai/free/en/authors/gal-yona/)

## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- [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/)

## Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/gabrielle-kaili-may-liu/cited-by/).

Updated 31 October 2026
