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Tong Xiao

Tong Xiao has 9 papers in our library, in 2019–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Machine translation; often with Jingbo Zhu, Bei Li, Chenglong Wang.

9 papers in our library · 2019–2026

OpenAlex · ORCID · Wikidata · h-index 25 · 170 works · 2,223 citations OpenAlex, 2026-10-14

📄 9 works in our library · 🔗 Cited 385 times in our library · 9 more in our library without a page yet · ⭐ Paper Stars ranking: #2766

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Northeastern UniversityShenyang · China2009–2026 · 136 paperscurrent🎓Northeastern UniversityBoston · United States2010–2025 · 22 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 9 worksComputer Science · 9 worksArtificial Intelligence · 9 worksLanguage and Linguistics · 9 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 worksSafety Research · 1 workSocial Sciences · 1 work

🧭 Topics 7Research subjects and languages the work is about.Machine translation · 2 worksLanguage models & pretraining · 3 worksMultilingual & cross-lingual NLP · 3 worksReasoning · 1 workDialogue systems · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20266 papers20252 papers

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Learning Deep Transformer Models for Machine Translation (2019 · 810 citations)
    For Transformer-based neural machine translation, the usual way to gain quality has been to make the model wider (Transformer-Big). Simply adding encoder layers tended to make training unstable or fail outright. The authors show that depth can beat width if two problems are handled.
  2. SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment (2025 · 20 citations)
    Large language models reason well in English but much less reliably in other languages, especially low-resource ones.
  3. Lost in Literalism: How Supervised Training Shapes Translationese in LLMs (2025 · 12 citations)
    LLMs learn from huge amounts of native text, yet their translations often still sound overly literal. The authors examine this "translationese" in LLM-based machine translation and trace it to supervised fine-tuning (SFT). Professional translators marked literal or unnatural spans in English-Chinese and…
  4. Cross-layer Attention Sharing for Pre-trained Large Language Models (2026 · 2 citations)
    Earlier work on making LLM attention more efficient mostly targets redundancy inside a layer, for example by compressing the KV cache or grouping heads.
  5. BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories (2026)
    Most studies of social bias in LLMs are English-only and rely on short-form probes. It is therefore unclear whether the attribute patterns seen in English long-form generation carry over to other languages. To test this, the authors built BIASEDTALES-ML, a parallel collection of about 350k children's stories. Three…
  6. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks (2026)
    Conversational retrieval decides which evidence a RAG system can use, but its benchmarks have two kinds of flaws.
  7. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs (2026)
    The paper addresses how to adapt LLMs for translation across many languages without quality collapsing in some directions.
  8. RouteLMT: Learned Sample Routing for Hybrid LLM Translation Deployment (2026)
    Serving every translation request with a large LLM is too costly for industrial systems. Hybrid setups therefore send most traffic to a small model and escalate only some inputs to a large one. The authors treat this escalation decision as spending a fixed budget of large-model calls. They argue that requests should…
  9. SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams (2026)
    Search relevance models trained on fixed datasets lose accuracy as live query traffic changes, for example when users adopt new slang or cultural references.

All works

18 works of theirs in our library, the most cited first; 9 with a page here, the others link their original until we summarise them.

  1. Learning Deep Transformer Models for Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qiang Wang, Bei Li, Tong Xiao, et al.2019 · 810 citations
  2. Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetChen Xu et al.2021 · 113 citations
  3. Improved Differentiable Architecture Search for Language Modeling and Named Entity Recognition ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYufan Jiang et al.2019 · 112 citations
  4. Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetBei Li et al.2020 · 111 citations
  5. NiuTrans: An Open Source Toolkit for Phrase-based and Syntax-based Machine Translation ↗Proceedings of the ACL 2012 System Demonstrations · no summary yetTong Xiao et al.2012 · 101 citations
  6. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
  7. The NiuTrans System for the WMT20 Quality Estimation Shared Task ↗Proceedings of the Fifth Conference on Machine Translation · no summary yetChi Hu et al.2020 · 15 citations
  8. Lost in Literalism: How Supervised Training Shapes Translationese in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Ronghao Zhang, Zhilin Wang, et al.2025 · 12 citations
  9. Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation ↗Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers · no summary yetTong Xiao et al.2014 · 5 citations
  10. An Empirical Study of Translation Rule Extraction with Multiple Parsers ↗Coling 2010: Posters · no summary yetTong Xiao et al.2010 · 5 citations
  11. Improving Decoding Generalization for Tree-to-String Translation ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetJingbo Zhu, Tong Xiao2011 · 3 citations
  12. Cross-layer Attention Sharing for Pre-trained Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yongyu Mu, Yuzhang Wu, Yuchun Fan, et al.2026 · 2 citations
  13. BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated StoriesFindings of the Association for Computational LinguisticsYuxuan Ouyang, Yingfeng Luo, JingBo Zhu, et al.2026
  14. MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Junhao Ruan, Abudukeyumu Abudula, Bei Li, et al.2026
  15. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
  16. RouteLMT: Learned Sample Routing for Hybrid LLM Translation DeploymentAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Hongyu Liu, DingYang Lin, et al.2026
  17. SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query StreamsFindings of the Association for Computational LinguisticsChenglong Wang, Canjia Li, Xingzhao Zhu, et al.2026
  18. CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRunsong Zhao et al.2026

 Co-authors here

12 of 32 co-authors with a page, the most papers together first.

Venues

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

 Cited by

Papers of our library cite their works 385 times (of the 149,439 papers whose bibliographies we read); 41 citing papers with a page here →.

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