---
title: "Yi Yu — author profile and papers — Elamur Research"
description: "Yi Yu, Wuhan University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yi-yu/"
---
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# Yi Yu

Yi Yu has 2 papers in our library, in 2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Chloé Clavel](https://md.research.elamur.ai/free/en/authors/chloe-clavel/), [Maria Boritchev](https://md.research.elamur.ai/free/en/authors/maria-boritchev/), [Yaliang Li](https://md.research.elamur.ai/free/en/authors/yaliang-li/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139747600) · [**h-index 1**](https://openalex.org/authors/A5139747600) · [1 works](https://openalex.org/works?filter=author.id:A5139747600) · [1 citations](https://openalex.org/works?filter=author.id:A5139747600&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yi-yu/#papers) · 🔗 Cited 4 times in our library · [⭐ Paper Stars ranking: #10460](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10460)

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

## Affiliations

[🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**Wuhan University** Wuhan · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/wuhan-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 8 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [General Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/general-social-sciences/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 1 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents](https://md.research.elamur.ai/free/en/papers/yu-2026-agentic-memory-learning-unified-long/)** *(2026 · 6 citations)* LLM agents working on long, multi-step tasks are limited by finite context windows. Prior approaches handled the two memory types, long-term memory (LTM) and short-term memory (STM), in isolated components, governed by fixed rules, schedules, or an extra expert controller model. AgeMem (Agentic Memory) merges both…
2. **[Automatic Analysis of Collaboration through Human Conversational Data Resources: A Review](https://md.research.elamur.ai/free/en/papers/yu-2026-automatic-analysis-collaboration-through-human/)** *(2026)* This LREC 2026 review by Yu, Boritchev and Clavel asks how human-human, task-oriented conversation data can support automatic collaboration analysis (CollA).

## Co-authors here

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

- [Chloé Clavel](https://md.research.elamur.ai/free/en/authors/chloe-clavel/)
- [Maria Boritchev](https://md.research.elamur.ai/free/en/authors/maria-boritchev/)
- [Yaliang Li](https://md.research.elamur.ai/free/en/authors/yaliang-li/)
- [Yuexiang Xie](https://md.research.elamur.ai/free/en/authors/yuexiang-xie/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/)

## Cited by

Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read).

Updated 30 October 2026
