---
title: "Bin Zhu — author profile and papers — Elamur Research"
description: "Bin Zhu, Singapore Management University: 2 papers on Elamur Research (2023–2026), h-index 0 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/bin-zhu/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bin-zhu/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Bin Zhu

# Bin Zhu

Bin Zhu has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Li Yuan](https://md.research.elamur.ai/free/en/authors/li-yuan/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5139733408) · [**h-index 0**](https://openalex.org/authors/A5139733408) · [3 works](https://openalex.org/works?filter=author.id:A5139733408) · [0 citations](https://openalex.org/works?filter=author.id:A5139733408&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/bin-zhu/#papers) · [🔗 Cited 204 times in our library](https://md.research.elamur.ai/free/en/authors/bin-zhu/cited-by/) · [⭐ Paper Stars ranking: #3372](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3372)

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

## Affiliations

[🎓**Singapore Management University** Singapore · Singapore 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/singapore-management-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 5 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/) · [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/)

🧭 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

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/bin-zhu/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/bin-zhu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/)** *(2023 · 628 citations)* Video-LLaVA targets a weakness of earlier vision-language assistants. Images and videos were usually encoded into different feature spaces and then pushed into an LLM through separate or weak projection layers. The authors argue that this "misalignment before projection" makes it hard for the LLM to learn how the two…
2. **[Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2026-spatiotemporal-sycophancy-negation-based-gaslighting/)** *(2026)* Video Large Language Models (Vid-LLMs) do well on video QA, but it is unclear how stable their answers are when a user pushes back.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Li Yuan](https://md.research.elamur.ai/free/en/authors/li-yuan/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)
- [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 204 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/bin-zhu/cited-by/).

Updated 1 November 2026
