---
title: "Yilong Lai · Alibaba Group — author profile and papers"
description: "Yilong Lai, Alibaba Group: 2 papers on Elamur Research (2025), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yilong-lai/"
---
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# Yilong Lai

Yilong Lai has 2 papers in our library, in 2025, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Congzhi Zhang](https://md.research.elamur.ai/free/en/authors/congzhi-zhang/), [Deyu Zhou](https://md.research.elamur.ai/free/en/authors/deyu-zhou/), [Jialong Wu](https://md.research.elamur.ai/free/en/authors/jialong-wu/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5101388174) · [**h-index 0**](https://openalex.org/authors/A5101388174) · [3 works](https://openalex.org/works?filter=author.id:A5101388174) · [0 citations](https://openalex.org/works?filter=author.id:A5101388174&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yilong-lai/#papers) · [🔗 Cited 17 times in our library](https://md.research.elamur.ai/free/en/authors/yilong-lai/cited-by/) · [⭐ Paper Stars ranking: #9309](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9309)

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

## Affiliations

[🏢**Alibaba Group** San Mateo · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group-united-states/) · [🎓**Southeast University** Nanjing · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/southeast-university-cn/)

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).[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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yilong-lai/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval Alignment](https://md.research.elamur.ai/free/en/papers/lai-2025-adacqr-enhancing-query-reformulation-conversational/)** *(2025 · 9 citations)* Conversational search needs to turn a context-dependent user question, often with omissions, coreference or ambiguity, into a self-contained query that standard retrievers can handle.
2. **[SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative Decoding](https://md.research.elamur.ai/free/en/papers/wang-2025-seed-accelerating-reasoning-tree-construction/)** *(2025 · 8 citations)* Tree-search-based (TSB) reasoning methods such as Tree-of-Thoughts (ToT) help LLMs plan and reason. However, they are slow because many thoughts must be generated and scored before the tree can grow. Earlier work sped up the search algorithms. This paper targets tree construction itself with SEED, a training-free…

## Co-authors here

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

- [Congzhi Zhang](https://md.research.elamur.ai/free/en/authors/congzhi-zhang/) ×2
- [Deyu Zhou](https://md.research.elamur.ai/free/en/authors/deyu-zhou/) ×2
- [Jialong Wu](https://md.research.elamur.ai/free/en/authors/jialong-wu/) ×2
- [Zhenglin Wang](https://md.research.elamur.ai/free/en/authors/zhenglin-wang/)

## Venues

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

- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/) ×2: [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ×2

## Cited by

Papers of our library cite their works 17 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yilong-lai/cited-by/).

Updated 30 October 2026
