---
title: "Luxi He · Princeton University — author profile and papers"
description: "Luxi He, Princeton University: 2 papers on Elamur Research (2024), h-index 2 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/luxi-he/"
---
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# Luxi He

Luxi He has 2 papers in our library, in 2024, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/), [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/), [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5109737166) · [**h-index 2**](https://openalex.org/authors/A5109737166) · [7 works](https://openalex.org/works?filter=author.id:A5109737166) · [11 citations](https://openalex.org/works?filter=author.id:A5109737166&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/luxi-he/#papers) · [🔗 Cited 185 times in our library](https://md.research.elamur.ai/free/en/authors/luxi-he/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6405](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6405)

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

## Affiliations

[🎓**Princeton University** Princeton · United States 2024–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/princeton-university/)

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 · 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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/)

## Works by year

### 2020s

[**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/luxi-he/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/wang-2024-charxiv-charting-gaps-realistic-chart/)** *(2024 · 119 citations)* Benchmarks commonly used to evaluate chart understanding in multimodal LLMs, such as FigureQA, DVQA and ChartQA, rely on synthetic or visually uniform charts and on template-generated questions.
2. **[SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/)** *(2024 · 87 citations)* SORRY-Bench is a benchmark that measures how reliably aligned LLMs decline unsafe requests. The authors identify three weaknesses in earlier safety evaluations. Their category schemes are coarse and inconsistent, and they concentrate on a few topics such as fraud while barely testing others like self-harm. They…

## All works

6 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. **[CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/wang-2024-charxiv-charting-gaps-realistic-chart/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zirui Wang, Mengzhou Xia, Luxi He, et al.*2024 · 119 citations*
2. [**SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal arXiv:2406.14598**Tinghao Xie, Xiangyu Qi, Yi Zeng, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/xie-2024-sorry-bench-systematically-evaluating-large/)
3. **[Fantastic Copyrighted Beasts and How (Not) to Generate Them ↗](https://arxiv.org/abs/2406.14526) arXiv (Cornell University) · no summary yet**Luxi He et al.*2024 · 9 citations*
4. **[AI Risk Management Should Incorporate Both Safety and Security ↗](https://arxiv.org/abs/2405.19524) arXiv (Cornell University) · no summary yet**Xiangyu Qi et al.*2024 · 3 citations*
5. **[Statutory construction and interpretation for AI ↗](https://doi.org/10.1073/pnas.2509766123) Proceedings of the National Academy of Sciences · no summary yet**Luxi He et al.*2026 · 1 citation*
6. **[The Model Hears You: Audio Language Model Deployments Should Consider the Principle of Least Privilege ↗](https://doi.org/10.1609/aies.v8i2.36625) Proceedings of the AAAI/ACM Conference on AI Ethics and Society · no summary yet**Luxi He et al.*2025 · 1 citation*

## Co-authors here

12 of 18 co-authors with a page, the most papers together first.

- [Alexis Chevalier](https://md.research.elamur.ai/free/en/authors/alexis-chevalier/)
- [Bo Li](https://md.research.elamur.ai/free/en/authors/bo-li/)
- [Boyi Wei](https://md.research.elamur.ai/free/en/authors/boyi-wei/)
- [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/)
- [Haotian Liu](https://md.research.elamur.ai/free/en/authors/haotian-liu/)
- [Howard Chen](https://md.research.elamur.ai/free/en/authors/howard-chen/)
- [Kaixuan Huang](https://md.research.elamur.ai/free/en/authors/kaixuan-huang/)
- [Mengzhou Xia](https://md.research.elamur.ai/free/en/authors/mengzhou-xia/)
- [Ruoxi Jia](https://md.research.elamur.ai/free/en/authors/ruoxi-jia/)
- [Sadhika Malladi](https://md.research.elamur.ai/free/en/authors/sadhika-malladi/)
- [Sanjeev Arora](https://md.research.elamur.ai/free/en/authors/sanjeev-arora/)
- [Tinghao Xie](https://md.research.elamur.ai/free/en/authors/tinghao-xie/)

## Venues

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

- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/)
- Proceedings of the AAAI/ACM Conference on AI Ethics and Society
- Proceedings of the National Academy of Sciences

## Cited by

Papers of our library cite their works 185 times (of the 149,439 papers whose bibliographies we read); [62 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/luxi-he/cited-by/).

Updated 2 November 2026
