---
title: "Tianchi Cai — author profile and papers — Elamur Research"
description: "Tianchi Cai: 3 papers on Elamur Research (2024–2026), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/tianchi-cai/"
---
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# Tianchi Cai

Tianchi Cai has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chongyi Wang](https://md.research.elamur.ai/free/en/authors/chongyi-wang/), [Junbo Cui](https://md.research.elamur.ai/free/en/authors/junbo-cui/), [Tianyu Yu](https://md.research.elamur.ai/free/en/authors/tianyu-yu/).

3 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5029097679) · [ORCID](https://orcid.org/0000-0003-1503-6519) · [Wikidata](https://www.wikidata.org/wiki/Q130830803) · [**h-index 6**](https://openalex.org/authors/A5029097679) · [16 works](https://openalex.org/works?filter=author.id:A5029097679) · [122 citations](https://openalex.org/works?filter=author.id:A5029097679&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tianchi-cai/#papers) · [🔗 Cited 269 times in our library](https://md.research.elamur.ai/free/en/authors/tianchi-cai/cited-by/) · [⭐ Paper Stars ranking: #4969](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4969)

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

## Affiliations

[🏢**Ant Group** Hangzhou · China 2021–2024 · 9 papers](https://md.research.elamur.ai/free/en/companies/ant-group/)

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 · 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 2 works](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/tianchi-cai/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tianchi-cai/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tianchi-cai/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MiniCPM-V: A GPT-4V Level MLLM on Your Phone](https://md.research.elamur.ai/free/en/papers/yao-2024-minicpm-v-gpt-4v/)** *(2024 · 269 citations)* Most multimodal LLMs are so large and compute-hungry that they must run on cloud servers. This rules out many mobile, offline, energy-limited and privacy-sensitive uses. The MiniCPM-V Team (OpenBMB) introduces MiniCPM-V, an open-source family of compact MLLMs built for end-side hardware such as smartphones and aimed…
2. **[MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe](https://md.research.elamur.ai/free/en/papers/yu-2025-minicpm-v-4-5/)** *(2025 · 24 citations)* MiniCPM-V 4.5 is an 8B-parameter multimodal LLM from OpenBMB. It targets three costly parts of MLLM development: long visual token sequences, brittle document-parsing pipelines and verbose reasoning. To shorten visual input, the authors extend the 2D-Resampler of earlier MiniCPM-V models into a unified 3D-Resampler.…
3. **[MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction](https://md.research.elamur.ai/free/en/papers/cui-2026-minicpm-o-4-5/)** *(2026 · 5 citations)* Current multimodal LLMs mostly handle interaction in turns: they first take in input, then answer, and they only act when the user explicitly asks.

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Chongyi Wang](https://md.research.elamur.ai/free/en/authors/chongyi-wang/) ×3
- [Junbo Cui](https://md.research.elamur.ai/free/en/authors/junbo-cui/) ×3
- [Tianyu Yu](https://md.research.elamur.ai/free/en/authors/tianyu-yu/) ×3
- [Zhihui He](https://md.research.elamur.ai/free/en/authors/zhihui-he/) ×3
- [Bokai Xu](https://md.research.elamur.ai/free/en/authors/bokai-xu/) ×2
- [Wenshuo Ma](https://md.research.elamur.ai/free/en/authors/wenshuo-ma/) ×2
- [Ao Zhang](https://md.research.elamur.ai/free/en/authors/ao-zhang/)
- [Haoyu Li](https://md.research.elamur.ai/free/en/authors/haoyu-li/)
- [Qianyu Chen](https://md.research.elamur.ai/free/en/authors/qianyu-chen/)
- [Weilin Zhao](https://md.research.elamur.ai/free/en/authors/weilin-zhao/)
- [Weize Chen](https://md.research.elamur.ai/free/en/authors/weize-chen/)
- [Yuan Yao](https://md.research.elamur.ai/free/en/authors/yuan-yao/)

## Cited by

Papers of our library cite their works 269 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/tianchi-cai/cited-by/).

Updated 30 October 2026
