---
title: "Chen-Yu Lee — author profile and papers — Elamur Research"
description: "Chen-Yu Lee, Google: 4 papers on Elamur Research (2023–2026), h-index 20 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/chen-yu-lee/"
---
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# Chen-Yu Lee

Chen-Yu Lee has 4 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Tomas Pfister](https://md.research.elamur.ai/free/en/authors/tomas-pfister/), [Zifeng Wang](https://md.research.elamur.ai/free/en/authors/zifeng-wang/), [Hootan Nakhost](https://md.research.elamur.ai/free/en/authors/hootan-nakhost/).

4 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5102816082) · [**h-index 20**](https://openalex.org/authors/A5102816082) · [74 works](https://openalex.org/works?filter=author.id:A5102816082) · [5,767 citations](https://openalex.org/works?filter=author.id:A5102816082&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/#papers) · [🔗 Cited 874 times in our library](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/cited-by/) · [10 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2953](https://md.research.elamur.ai/free/en/paper-stars/page/30/#star-2953)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Chen-Yu+Lee) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chen-Yu+Lee) · [dblp](https://dblp.org/search?q=Chen-Yu+Lee) · [ACL Anthology](https://aclanthology.org/search/?q=Chen-Yu+Lee)

## Affiliations

[🏢**Google** Mountain View · United States 2020–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of California San Diego** San Diego · United States 2014–2018 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**National Yang Ming Chiao Tung University** Hsinchu · Taiwan 2003–2012 · 8 papers](https://md.research.elamur.ai/free/en/universities/national-yang-ming-chiao-tung-university/) · [🎓**Ling Tung University** Taichung · Taiwan 2012–2015 · 4 papers](https://ror.org/03vcw8k58) · [🎓**National Yunlin University of Science and Technology** Douliu · Taiwan 2007–2008 · 4 papers](https://ror.org/04qkq2m54) · [🎓**National Taiwan Normal University** Taipei · Taiwan 2017 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-normal-university/) · [🎓**Tunghai University** Taichung · Taiwan 2002–2010 · 3 papers](https://ror.org/00zhvdn11) · [🎓**National Cheng Kung University** Tainan · Taiwan 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/national-cheng-kung-university/) · [🏢**Apple** Cupertino · United States 2019–2020 · 2 papers](https://md.research.elamur.ai/free/en/companies/apple/) · [🎓**University of North Texas** Denton · United States 2014–2015 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-north-texas/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/)** *(2023 · 690 citations)* Small task-specific models are cheap to serve, but they usually need many human labels (finetuning) or large pools of unlabeled data (distillation from an LLM) to approach LLM quality.
2. **[Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling](https://md.research.elamur.ai/free/en/papers/xu-2024-speculative-knowledge-distillation-bridging-teacher/)** *(2024 · 41 citations)* Distilling a large language model into a smaller one runs into two failure modes. Supervised KD trains on a fixed set of outputs, so it never sees the kind of text the student produces at inference time. On-policy KD trains on the student's own generations, but early on these are often poor and unfamiliar to the…
3. **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/)** *(2025 · 16 citations)* LLM-based agents and test-time search methods often fail on "natural planning" tasks, such as scheduling meetings or planning trips described in plain language.
4. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/)** *(2026 · 14 citations)* This position paper by Feng et al. (ACL 2026) argues that a single general-purpose LLM cannot reliably handle complex, context-dependent, or subjective settings. It contributes no new dataset or model. Instead, it makes a conceptual case that any one model leaves gaps on three fronts. It misses parts of real-world…

## All works

14 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. **[Deeply-Supervised Nets ↗](https://arxiv.org/abs/1409.5185) arXiv (Cornell University) · no summary yet**Chen‐Yu Lee et al.*2014 · 1,062 citations*
2. **[Learning to Prompt for Continual Learning ↗](https://arxiv.org/abs/2112.08654) arXiv:2112.08654 · no summary yet**Zifeng Wang et al.*2021 · 855 citations*
3. **[Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.*2023 · 690 citations*
4. **[Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2019.01053) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chen‐Yu Lee et al.*2019 · 586 citations*
5. **[Recursive Recurrent Nets with Attention Modeling for OCR in the Wild ↗](https://doi.org/10.1109/cvpr.2016.245) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chen‐Yu Lee, Simon Osindero*2016 · 471 citations*
6. **[FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction ↗](https://aclanthology.org/2022.acl-long.260/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Chen-Yu Lee et al.*2022 · 106 citations*
7. **[Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ↗](https://arxiv.org/abs/2401.04398) arXiv:2401.04398 · no summary yet**Zilong Wang et al.*2024 · 105 citations*
8. **[Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models ↗](https://arxiv.org/abs/2308.00675) arXiv (Cornell University) · no summary yet**Cheng-Yu Hsieh et al.*2023 · 71 citations*
9. **[Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ↗](https://aclanthology.org/2024.findings-acl.890/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Cheng-Yu Hsieh et al.*2024 · 61 citations*
10. [**Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling arXiv:2410.11325**Wenda Xu, Rujun Han, Zifeng Wang, et al.*2024 · 41 citations*](https://md.research.elamur.ai/free/en/papers/xu-2024-speculative-knowledge-distillation-bridging-teacher/)
11. **[PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving](https://md.research.elamur.ai/free/en/papers/parmar-2025-plangen-multi-agent-framework-generating/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mihir Parmar, Xin Liu, Palash Goyal, et al.*2025 · 16 citations*
12. **[When One LLM Drools, Multi-LLM Collaboration Rules](https://md.research.elamur.ai/free/en/papers/feng-2026-when-one-llm-drools-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shangbin Feng, Wenxuan Ding, Alisa Liu, et al.*2026 · 14 citations*
13. **[Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems ↗](https://doi.org/10.52202/085713-3813) neural information processing systems · no summary yet**Shangbin Feng et al.*2025 · 7 citations*
14. **[SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback ↗](https://aclanthology.org/2026.findings-eacl.174/) Findings of the Association for Computational Linguistics: EACL 2026 · no summary yet**Fangyuan Xu et al.*2026*

## Co-authors here

12 of 29 co-authors with a page, the most papers together first.

- [Tomas Pfister](https://md.research.elamur.ai/free/en/authors/tomas-pfister/) ×3
- [Zifeng Wang](https://md.research.elamur.ai/free/en/authors/zifeng-wang/) ×3
- [Hootan Nakhost](https://md.research.elamur.ai/free/en/authors/hootan-nakhost/) ×2
- [Long Le](https://md.research.elamur.ai/free/en/authors/long-le/) ×2
- [Alexander Ratner](https://md.research.elamur.ai/free/en/authors/alexander-ratner/)
- [Alisa Liu](https://md.research.elamur.ai/free/en/authors/alisa-liu/)
- [Cheng-Yu Hsieh](https://md.research.elamur.ai/free/en/authors/cheng-yu-hsieh/)
- [Chitta Baral](https://md.research.elamur.ai/free/en/authors/chitta-baral/)
- [Chun-Liang Li](https://md.research.elamur.ai/free/en/authors/chun-liang-li/)
- [Hunter Lang](https://md.research.elamur.ai/free/en/authors/hunter-lang/)
- [Jindong Gu](https://md.research.elamur.ai/free/en/authors/jindong-gu/)
- [Lei Li](https://md.research.elamur.ai/free/en/authors/lei-li/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/)
- Findings of the Association for Computational Linguistics: ACL 2024
- Findings of the Association for Computational Linguistics: EACL 2026
- neural information processing systems

## Cited by

Papers of our library cite their works 874 times (of the 149,439 papers whose bibliographies we read); [139 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chen-yu-lee/cited-by/).

Updated 30 October 2026