---
title: "Yu Liu — author profile and papers — Elamur Research"
description: "Yu Liu, University of Electronic Science and Technology of China: 2 papers on Elamur Research (2026), h-index 2 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yu-liu/"
---
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# Yu Liu

Yu Liu has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Jie Sun](https://md.research.elamur.ai/free/en/authors/jie-sun/), [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/), [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139720018) · [ORCID](https://orcid.org/0000-0002-4191-5974) · [Wikidata](https://www.wikidata.org/wiki/Q87601943) · [**h-index 2**](https://openalex.org/authors/A5139720018) · [10 works](https://openalex.org/works?filter=author.id:A5139720018) · [16 citations](https://openalex.org/works?filter=author.id:A5139720018&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yu-liu/#papers) · 🔗 Cited 1 time in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11749](https://md.research.elamur.ai/free/en/paper-stars/page/118/#star-11749)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**South China University of Technology** Guangzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Fudan University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**Nanjing University** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-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 6 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Signal Processing · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yu-liu/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-sepseq-training-free-framework-long/)** *(2026 · 1 citation)* Modern LLMs advertise very long context windows, yet they handle long sequences of numbers poorly. Tasks such as counting, filtering, or spotting trends need exact access to every value. The authors trace this failure to attention dispersion: as inputs grow, Softmax spreads attention over many similar numeric tokens…
2. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/)** *(2026)* Retrieval-Augmented Generation can be hijacked when attackers plant crafted passages in the knowledge base so that the LLM returns an answer they chose.

## All works

3 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. **[SepSeq: A Training-Free Framework for Long Numerical Sequence Processing in LLMs](https://md.research.elamur.ai/free/en/papers/sun-2026-sepseq-training-free-framework-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Sun, Yu Liu, Lu Han, et al.*2026 · 1 citation*
2. **[PRA-RAG: Provably Robust Aggregation in Retrieval-Augmented Generation against Retrieval Corruption](https://md.research.elamur.ai/free/en/papers/tan-2026-pra-rag-provably-robust-aggregation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xue Tan, Yi Zheng, Chang Huo, et al.*2026*
3. **[Two Streams, One Sarcasm: Orthogonal Expert Tuning for Holistic Multimodal Sarcasm Understanding ↗](https://aclanthology.org/2026.acl-long.319/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Diandian Guo et al.*2026*

## Co-authors here

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

- [Jie Sun](https://md.research.elamur.ai/free/en/authors/jie-sun/)
- [Jun Zhou](https://md.research.elamur.ai/free/en/authors/jun-zhou/)
- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/)
- [Xiang Wang](https://md.research.elamur.ai/free/en/authors/xiang-wang/)
- [Xiaoyan Sun](https://md.research.elamur.ai/free/en/authors/xiaoyan-sun/)
- [Xingyu Lu](https://md.research.elamur.ai/free/en/authors/xingyu-lu/)
- [Yang Xiao](https://md.research.elamur.ai/free/en/authors/yang-xiao/)
- [Yi Zheng](https://md.research.elamur.ai/free/en/authors/yi-zheng/)

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
