---
title: "Yingtian Tang — author profile and papers — Elamur Research"
description: "Yingtian Tang, École Polytechnique Fédérale de Lausanne: 2 papers on Elamur Research (2024–2025), h-index 4 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yingtian-tang/"
---
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# Yingtian Tang

Yingtian Tang has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Badr AlKhamissi](https://md.research.elamur.ai/free/en/authors/badr-alkhamissi/), [Martin Schrimpf](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/), [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5074547584) · [ORCID](https://orcid.org/0009-0004-9870-5574) · [**h-index 4**](https://openalex.org/authors/A5074547584) · [13 works](https://openalex.org/works?filter=author.id:A5074547584) · [31 citations](https://openalex.org/works?filter=author.id:A5074547584&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yingtian-tang/#papers) · [🔗 Cited 8 times in our library](https://md.research.elamur.ai/free/en/authors/yingtian-tang/cited-by/) · [⭐ Paper Stars ranking: #10952](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10952)

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

## Affiliations

[🎓**École Polytechnique Fédérale de Lausanne** Lausanne · Switzerland 2023–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/ecole-polytechnique-federale-de-lausanne/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2019–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/)

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).[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/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 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/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yingtian-tang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/yingtian-tang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[From Language to Cognition: How LLMs Outgrow the Human Language Network](https://md.research.elamur.ai/free/en/papers/alkhamissi-2025-language-cognition-how-llms-outgrow/)** *(2025 · 11 citations)* The paper examines why large language models resemble activity in the human language network (LN), and how this resemblance develops during pretraining.
2. **[Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/)** *(2024 · 1 citation)* Modern large language models are trained on trillions of tokens. A human, by contrast, hears at most about 100M words before adolescence. The authors worked within the BabyLM Challenge and investigated whether a multimodal model can be trained on such a limited budget. To this end, they assembled their own 100M-word…

## Co-authors here

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

- [Badr AlKhamissi](https://md.research.elamur.ai/free/en/authors/badr-alkhamissi/) ×2
- [Martin Schrimpf](https://md.research.elamur.ai/free/en/authors/martin-schrimpf/) ×2
- [Antoine Bosselut](https://md.research.elamur.ai/free/en/authors/antoine-bosselut/)

## Venues

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

- [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/): [CoNLL 2024](https://md.research.elamur.ai/free/en/venues/conll/2024/)
- [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 8 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yingtian-tang/cited-by/).

Updated 2 November 2026
