---
title: "Lijie Hu — author profile and papers — Elamur Research"
description: "Lijie Hu, Mohamed bin Zayed University of Artificial Intelligence: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/lijie-hu/"
---
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# Lijie Hu

Lijie Hu has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/), [Shu Yang](https://md.research.elamur.ai/free/en/authors/shu-yang/), [Yuyu Luo](https://md.research.elamur.ai/free/en/authors/yuyu-luo/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139830289) · [**h-index 0**](https://openalex.org/authors/A5139830289) · [2 works](https://openalex.org/works?filter=author.id:A5139830289) · [0 citations](https://openalex.org/works?filter=author.id:A5139830289&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/lijie-hu/#papers) · [🔗 Cited 7 times in our library](https://md.research.elamur.ai/free/en/authors/lijie-hu/cited-by/) · [⭐ Paper Stars ranking: #11493](https://md.research.elamur.ai/free/en/paper-stars/page/115/#star-11493)

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

## Affiliations

[🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 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/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/lijie-hu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs](https://md.research.elamur.ai/free/en/papers/zhou-2026-flattery-motion-benchmarking-analyzing-sycophancy/)** *(2026 · 6 citations)* Video-LLMs often give up on what they actually see in a video when a user pushes a wrong answer. This behaviour is called sycophancy. It has been studied for text LLMs and, to a lesser degree, for image models, but no systematic test existed for video. The authors built ViSE, a benchmark of multiple-choice questions…
2. **[Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders](https://md.research.elamur.ai/free/en/papers/zou-2026-deciphering-cultural-representations-large-language/)** *(2026 · 1 citation)* LLMs tend to favor Western cultural defaults, and it is unclear how they store cultural knowledge internally.
3. **[Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images](https://md.research.elamur.ai/free/en/papers/yang-2026-visual-self-fulfilling-alignment-shaping/)** *(2026)* Multimodal LLMs often lose the safety behaviour of their text-only backbones, because harmful images can carry or amplify malicious intent past textual safeguards.

## Co-authors here

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

- [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/) ×2
- [Shu Yang](https://md.research.elamur.ai/free/en/authors/shu-yang/) ×2
- [Yuyu Luo](https://md.research.elamur.ai/free/en/authors/yuyu-luo/)

## 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/) ×2
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lijie-hu/cited-by/).

Updated 2 November 2026
