---
title: "Jia Xu — author profile and papers · Machine translation"
description: "Jia Xu, Shanghai Artificial Intelligence Laboratory: 2 papers on Elamur Research (2006–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/jia-xu/"
---
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# Jia Xu

Jia Xu has 2 papers in our library, in 2006–2026, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/), [David Vilar](https://md.research.elamur.ai/free/en/authors/david-vilar/), [Hermann Ney](https://md.research.elamur.ai/free/en/authors/hermann-ney/).

2 papers in our library · 2006–2026

[OpenAlex](https://openalex.org/A5139793052) · [**h-index 0**](https://openalex.org/authors/A5139793052) · [2 works](https://openalex.org/works?filter=author.id:A5139793052) · [0 citations](https://openalex.org/works?filter=author.id:A5139793052&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jia-xu/#papers) · [🔗 Cited 83 times in our library](https://md.research.elamur.ai/free/en/authors/jia-xu/cited-by/) · [⭐ Paper Stars ranking: #8190](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8190)

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

## Affiliations

[🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Machine translation · 1 work](https://md.research.elamur.ai/free/en/topics/machine-translation/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jia-xu/year/2026/)

### 2000s

[**2006** 1 paper](https://md.research.elamur.ai/free/en/authors/jia-xu/year/2006/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Error Analysis of Statistical Machine Translation Output](https://md.research.elamur.ai/free/en/papers/vilar-2006-error-analysis-statistical-machine-translation/)** *(2006 · 87 citations)* The paper gives a hand-built error typology for statistical MT output and applies it to the RWTH system in the first TC-STAR evaluation, for Spanish-to-English, English-to-Spanish and Chinese-to-English, on speech-derived data (clean text, verbatim transcripts and recogniser output).
2. **[Towards Self-Evolving Agents: Enabling Autonomy through Interactive Experience Refinement](https://md.research.elamur.ai/free/en/papers/yang-2026-self-evolving-agents-enabling-autonomy/)** *(2026)* LLM-based agents usually stay fixed once deployed. They cannot learn from earlier attempts, which hurts them on long, multi-application productivity tasks that may take over a hundred steps. The authors propose MUSE (Memory-Utilizing and Self-Evolving), a framework that improves at test time without any fine-tuning.…

## Co-authors here

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

- [Cheng Hong Yang](https://md.research.elamur.ai/free/en/authors/cheng-hong-yang/)
- [David Vilar](https://md.research.elamur.ai/free/en/authors/david-vilar/)
- [Hermann Ney](https://md.research.elamur.ai/free/en/authors/hermann-ney/)
- [Luis Fernando D'Haro](https://md.research.elamur.ai/free/en/authors/luis-fernando-d-haro/)
- [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/)

## 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2006](https://md.research.elamur.ai/free/en/venues/lrec/2006/)

## Cited by

Papers of our library cite their works 83 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jia-xu/cited-by/).

Updated 2 November 2026
