---
title: "Lynn Ai — author profile and papers · Evaluation & benchmarks"
description: "Lynn Ai, Centro Tecnolóxico de Telecomunicacións de Galicia: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/lynn-ai/"
---
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# Lynn Ai

Lynn Ai has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/); often with [Eric Yang](https://md.research.elamur.ai/free/en/authors/eric-yang/), [Tianyu Shi](https://md.research.elamur.ai/free/en/authors/tianyu-shi/), [Hanbin Wang](https://md.research.elamur.ai/free/en/authors/hanbin-wang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5119027766) · [**h-index 1**](https://openalex.org/authors/A5119027766) · [25 works](https://openalex.org/works?filter=author.id:A5119027766) · [4 citations](https://openalex.org/works?filter=author.id:A5119027766&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lynn-ai/#papers) · [⭐ Paper Stars ranking: #11592](https://md.research.elamur.ai/free/en/paper-stars/page/116/#star-11592)

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

## Affiliations

[🎓**Soochow University** Suzhou · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/soochow-university/) · [🤝**Centro Tecnolóxico de Telecomunicacións de Galicia** Vigo · Spain 2026 · 2 papers*current*](https://ror.org/045ncxc88) · [🏢**Gradient** Boston · United States 2026 · 2 papers*current*](https://ror.org/014qf4206)

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 2 Research subjects and languages the work is about.[Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[EVM-QuestBench: An Execution-Grounded Benchmark for Natural-Language Transaction Code Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-evm-questbench-execution-grounded-benchmark/)** *(2026 · 1 citation)* LLMs are increasingly used to write code that sends blockchain transactions. In that setting a single wrong address, unit or decimal can cause irreversible financial loss. Text-similarity metrics such as BLEU and CodeBLEU, and general coding benchmarks such as SWE-bench, do not measure whether such code actually…
2. **[MARS: Unleashing the Power of Speculative Decoding via Margin-Aware Verification](https://md.research.elamur.ai/free/en/papers/song-2026-mars-unleashing-power-speculative-decoding/)** *(2026)* Speculative decoding speeds up LLM inference: a small drafter proposes tokens and the large target model checks them in parallel.

## Co-authors here

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

- [Eric Yang](https://md.research.elamur.ai/free/en/authors/eric-yang/) ×2
- [Tianyu Shi](https://md.research.elamur.ai/free/en/authors/tianyu-shi/) ×2
- [Hanbin Wang](https://md.research.elamur.ai/free/en/authors/hanbin-wang/)
- [Ke Wang](https://md.research.elamur.ai/free/en/authors/ke-wang/)
- [Xiao-Wen Chang](https://md.research.elamur.ai/free/en/authors/xiao-wen-chang/)
- [Xinyu Wang](https://md.research.elamur.ai/free/en/authors/xinyu-wang/)

## 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/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 1 November 2026
