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Jing Xiao

Jing Xiao has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Question answering, Vision & language; often with Jianzong Wang, Jiuhai Chen, Lichang Chen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 35 · 383 works · 4,947 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 185 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6066

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning (2023 · 161 citations)
    LIMA showed that instruction tuning depends more on data quality than on volume. Picking good samples out of large open instruction sets still usually takes human curation or an external judge such as ChatGPT. This paper lets the target model choose its own training data. First, a base LLM gets a short warm-up…
  2. Flow-Based Page Unique Semantic Mapping Architecture for Document Visual Question Answering (2026)
    The paper targets multi-page Document Visual Question Answering (DocVQA). OCR-free generative models still often pick the wrong evidence page when several pages look semantically alike, because they rank pages by coarse question–page similarity. The authors argue formally, through three propositions, that for a given…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction TuningarXiv:2308.12032Ming Li, Yong Zhang, Zhitao Li, et al.2023 · 161 citations
  2. Contextualized Emotion Recognition in Conversation as Sequence Tagging ↗Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue · no summary yetYan Wang et al.2020 · 110 citations
  3. Empirical Studies of Institutional Federated Learning For Natural Language Processing ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetXinghua Zhu et al.2020 · 58 citations

 Co-authors here

8 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 185 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

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