---
title: "Wen Xiao — author profile and papers"
description: "Wen Xiao, China University of Geosciences: 2 papers on Elamur Research (2022–2024), h-index 5 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/wen-xiao/"
---
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# Wen Xiao

Wen Xiao has 2 papers in our library, in 2022–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/), [Giuseppe Carenini](https://md.research.elamur.ai/free/en/authors/giuseppe-carenini/).

2 papers in our library · 2022–2024

[OpenAlex](https://openalex.org/A5100305759) · [**h-index 5**](https://openalex.org/authors/A5100305759) · [40 works](https://openalex.org/works?filter=author.id:A5100305759) · [437 citations](https://openalex.org/works?filter=author.id:A5100305759&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wen-xiao/#papers) · [🔗 231 citations in our library](https://md.research.elamur.ai/free/en/authors/wen-xiao/cited-by/) · [⭐ Paper Star rank #3358](https://md.research.elamur.ai/free/en/paper-stars/page/34/#star-3358)

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

## Affiliations

[🎓**China University of Geosciences** Wuhan · China 2024 · 1 paper*current*](https://ror.org/04gcegc37) · [🎓**Huai'an University** Huai'an · China 2024 · 1 paper*current*](https://ror.org/0555ezg60) · [🎓**Jiangxi University of Science and Technology** Ganzhou · China 2024 · 1 paper*current*](https://ror.org/03q0t9252) · [🎓**University of British Columbia** Vancouver · Canada 2022–2023 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) · [🎓**Shenzhen University** Shenzhen · China 2022–2023 · 2 papers](https://ror.org/01vy4gh70)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization (1)](https://md.research.elamur.ai/free/en/topics/summarization/) · [Efficient models & compression (1)](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/papers/cai-2024-pyramidkv-dynamic-kv-cache-compression/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization](https://md.research.elamur.ai/free/en/papers/xiao-2022-primera-pyramid-based-masked-sentence/)** *(2022 · 204 citations)* Multi-document summarization condenses a cluster of related texts into one summary. Leading systems often depend on graph-based or hierarchical designs tailored to particular datasets, or need extra inputs such as AMR or discourse graphs. Meanwhile, existing pretrained models were built for single documents or cannot…
2. **[PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling](https://md.research.elamur.ai/free/en/papers/cai-2024-pyramidkv-dynamic-kv-cache-compression/)** *(2024 · 151 citations)* Long-context inference in LLMs depends on caching key and value states. That cache grows with input length and can consume tens of gigabytes. Earlier compression methods such as H2O, SnapKV and StreamingLLM give every Transformer layer the same cache budget. This paper first examines attention maps from LLaMa on…

## Co-authors here

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

- [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/)
- [Bofei Gao](https://md.research.elamur.ai/free/en/authors/bofei-gao/)
- [Giuseppe Carenini](https://md.research.elamur.ai/free/en/authors/giuseppe-carenini/)
- [Iz Beltagy](https://md.research.elamur.ai/free/en/authors/iz-beltagy/)
- [Junjie Hu](https://md.research.elamur.ai/free/en/authors/junjie-hu/)
- [Keming Lu](https://md.research.elamur.ai/free/en/authors/keming-lu/)
- [Tianyu Liu](https://md.research.elamur.ai/free/en/authors/tianyu-liu/)
- [Yichi Zhang](https://md.research.elamur.ai/free/en/authors/yichi-zhang/)
- [Yucheng Li](https://md.research.elamur.ai/free/en/authors/yucheng-li/)
- [Yue Dong](https://md.research.elamur.ai/free/en/authors/yue-dong/)
- [Yuliang Liu](https://md.research.elamur.ai/free/en/authors/yuliang-liu/)
- [Zefan Cai](https://md.research.elamur.ai/free/en/authors/zefan-cai/)

## Cited by

Papers of our library cite their works 231 times (of the 140,884 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/wen-xiao/cited-by/).
