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Kai Yu

Kai Yu has 5 papers in our library, in 2015–2025, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Lu Chen, Jian Zhao, Kaige Xie.

5 papers in our library · 2015–2025

OpenAlex · ORCID · Wikidata · h-index 48 · 406 works · 11,144 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 1,079 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #643

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. 25 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Bidirectional LSTM-CRF Models for Sequence Tagging (2015 · 3,818 citations)
    This 2015 Baidu Research paper looks at sequence tagging (part-of-speech tagging, chunking and named entity recognition) with recurrent neural networks instead of linear models such as HMM, MEMM and CRF.
  2. LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations (2021 · 191 citations)
    Text-to-SQL systems must jointly encode a natural-language question and a database schema of tables and columns, which form a heterogeneous graph.
  3. Towards Universal Dialogue State Tracking (2018 · 191 citations)
    The paper tackles dialogue state tracking (DST), which means estimating a user's goal as slot-value pairs at each turn of a task-oriented spoken dialogue.
  4. F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching (2025 · 152 citations)
    F5-TTS is a fully non-autoregressive zero-shot text-to-speech system. It drops the usual alignment machinery: no duration model, no text encoder, and no phoneme alignment. Like E2 TTS, it turns the transcript into a character sequence, pads it with filler tokens to the length of the mel spectrogram, and trains a…
  5. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing Tasks (2024 · 73 citations)
    The paper asks whether large language models can be trusted as automatic peer reviewers, a question earlier review datasets did not answer well because they did not verify that generated reviews were correct.

All works

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

  1. Bidirectional LSTM-CRF Models for Sequence TaggingarXiv:1508.01991Zhiheng Huang, Wei Xu, Kai Yu2015 · 3,818 citations
  2. SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific ResearcharXiv:2308.13149 · original ↗ · no summary yetLiangtai Sun et al.2023 · 89 citations
  3. Unsupervised Dual Paraphrasing for Two-stage Semantic ParsingProceedings of the 58th Annual Meeting of the Association for Computational Linguistics · original ↗ · no summary yetRuisheng Cao et al.2020 · 66 citations
  4. Semi-Supervised Text Simplification with Back-Translation and Asymmetric Denoising AutoencodersarXiv:2004.14693 · original ↗ · no summary yetYanbin Zhao et al.2020 · 57 citations
  5. Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention NetworksProceedings of the 58th Annual Meeting of the Association for Computational Linguistics · original ↗ · no summary yetYanbin Zhao et al.2020 · 45 citations
  6. Alignment for Efficient Tool Calling of Large Language ModelsProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · original ↗ · no summary yetHongshen Xu et al.2025 · 13 citations
  7. TeCS: A Dataset and Benchmark for Tense Consistency of Machine TranslationProceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · original ↗ · no summary yetYiming Ai et al.2023 · 1 citation

 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 1,079 times (of the 141,840 papers whose bibliographies we read); 82 citing papers with a page here →.

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