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Hung-yi Lee

Hung-yi Lee has 5 papers in our library, in 2024–2026, most of them on Language models & pretraining, Reasoning, Speech & spoken language; often with Cheng-Kuang Wu, Kai-Wei Chang, Li-Chun Lu.

5 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 46 · 490 works · 9,888 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 828 times in our library · 17 more in our library without a page yet · ⭐ Paper Stars ranking: #7073

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. 5 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. Over-Reasoning and Redundant Calculation of Large Language Models (2024 · 33 citations)
    Chain-of-thought (CoT) reasoning helps LLMs on math problems, but it also makes outputs longer, slower and more expensive.
  2. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? (2025 · 17 citations)
    Large reasoning models (LRMs) write an explicit thinking trace before they answer. It is unclear which language that trace uses when the prompt is not in English, and whether the choice matters. Tam et al. show that open-weight LRMs such as QwQ-32B and Qwen3-30B-A3B mostly think in English, and sometimes in Chinese.…
  3. Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive Survey (2025 · 17 citations)
    Large audio-language models (LALMs) extend text LLMs so they can take in and sometimes produce speech, environmental sounds and music.
  4. CodeJudgeBench: Benchmarking LLM-as-a-Judge for Coding Tasks (2026 · 13 citations)
    LLMs increasingly act as evaluators that compare, rank, or score code, yet little is known about how reliable they are in this role.
  5. BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation (2026 · 4 citations)
    Multi-LLM setups, where several role-playing models debate an idea, tend to produce more creative output than a single model.

All works

22 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. SUPERB: Speech Processing Universal PERformance Benchmark ↗Interspeech (USB) · no summary yetShu-Wen Yang et al.2021 · 799 citations
  2. Can Large Language Models Be an Alternative to Human Evaluations? ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetCheng-Han Chiang, Hung-yi Lee2023 · 693 citations
  3. One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization ↗Interspeech (USB) · no summary yetJu-Chieh Chou, Hung-yi Lee2019 · 241 citations
  4. Tree Transformer: Integrating Tree Structures into Self-Attention ↗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 yetYaushian Wang, Hung-Yi Lee, Yun-Nung Chen2019 · 167 citations
  5. Supervised and Unsupervised Transfer Learning for Question Answering ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetYu-An Chung, Hung-Yi Lee, James Glass2018 · 106 citations
  6. Learning Chinese Word Representations From Glyphs Of Characters ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetTzu-Ray Su, Hung-Yi Lee2017 · 106 citations
  7. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs ↗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 yetYi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee2019 · 104 citations
  8. SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHsiang-Sheng Tsai et al.2022 · 91 citations
  9. End-to-End Text-to-Speech for Low-Resource Languages by Cross-Lingual Transfer Learning ↗Interspeech (USB) · no summary yetYuan-Jui Chen et al.2019 · 89 citations
  10. Let Me Speak Freely? A Study On The Impact Of Format Restrictions On Large Language Model Performance. ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yetZhi Rui Tam et al.2024 · 84 citations
  11. Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetYaushian Wang, Hung-Yi Lee2018 · 81 citations
  12. Recurrent neural network based language model personalization by social network crowdsourcing ↗Interspeech (USB) · no summary yetTsung-Hsien Wen et al.2013 · 66 citations
  13. Worse WER, but Better BLEU? Leveraging Word Embedding as Intermediate in Multitask End-to-End Speech Translation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetShun-Po Chuang et al.2020 · 19 citations
  14. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?arXiv:2505.17407Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.2025 · 17 citations
  15. Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets ↗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 yetHong-Ren Mao, Hung-Yi Lee2019 · 13 citations
  16. The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties ↗Interspeech (USB) · no summary yetWilliam C. Chen et al.2025 · 4 citations
  17. Improving Non-autoregressive Translation Quality with Pretrained Language Model, Embedding Distillation and Upsampling Strategy for CTC ↗arXiv:2306.06345 · IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 32, 2024 · no summary yetShen-sian Syu, Juncheng Xie, Hung-yi Lee2023

 Co-authors here

9 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 828 times (of the 149,439 papers whose bibliographies we read); 153 citing papers with a page here →.

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