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Xiaoqi Jiao

Xiaoqi Jiao has 4 papers in our library, in 2020–2025, most of them on Language models & pretraining, Speech & spoken language; often with Irwin King, Steven Y. Guo, Wenqian Cui.

4 papers in our library · 2020–2025

OpenAlex · h-index 5 · 15 works · 1,807 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 692 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #1253

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

🎓Huazhong University of Science and TechnologyWuhan · China2020–2024 · 4 papers🏢TencentShenzhen · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksSpeech & spoken language · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Natural language understanding · 1 work

 Works by year

2020s

20253 papers20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. TinyBERT: Distilling BERT for Natural Language Understanding (2020 · 2,378 citations)
    Large pre-trained language models such as BERT achieve very high performance. However, they have many parameters and slow inference, which makes them difficult to run on phones and other low-resource devices. The authors compress BERT with a knowledge distillation method designed specifically for the Transformer…
  2. Recent Advances in Speech Language Models: A Survey (2025 · 69 citations)
    Voice assistants are often built as a cascade of three systems: speech recognition, a text LLM, and speech synthesis (the "ASR + LLM + TTS" pipeline).
  3. VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language Models (2025 · 9 citations)
    Spoken Language Models (SLMs) that both listen and reply in speech need broad world knowledge. Existing audio QA benchmarks still pair audio with text questions or score text answers, so they cannot test true speech-to-speech use or how stable a model is when the same question is spoken differently. The authors built…
  4. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm (2025 · 5 citations)
    Picking a compact, high-value subset of instruction data can cut supervised fine-tuning (SFT) costs for LLMs.

All works

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

  1. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  2. Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
  3. VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, et al.2025 · 9 citations
  4. DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZhihong Zhu et al.2024 · 9 citations
  5. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy ParadigmConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuo Li, Yuhao Du, Xiaoqi Jiao, et al.2025 · 5 citations

 Co-authors here

12 of 15 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 692 times (of the 149,439 papers whose bibliographies we read); 84 citing papers with a page here →.

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