Elamur Research⌕
☰
home / authors / Chen-Yu Lee

Chen-Yu Lee

Chen-Yu Lee has 4 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Tomas Pfister, Zifeng Wang, Hootan Nakhost.

4 papers in our library · 2023–2026

OpenAlex · h-index 20 · 74 works · 5,767 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 874 times in our library · 10 more in our library without a page yet · ⭐ Paper Stars ranking: #2953

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

🏢GoogleMountain View · United States2020–2026 · 16 paperscurrent🎓University of California San DiegoSan Diego · United States2014–2018 · 10 papers🎓National Yang Ming Chiao Tung UniversityHsinchu · Taiwan2003–2012 · 8 papers🎓Ling Tung UniversityTaichung · Taiwan2012–2015 · 4 papers🎓National Yunlin University of Science and TechnologyDouliu · Taiwan2007–2008 · 4 papers🎓National Taiwan Normal UniversityTaipei · Taiwan2017 · 3 papers🎓Tunghai UniversityTaichung · Taiwan2002–2010 · 3 papers🎓National Cheng Kung UniversityTainan · Taiwan2023–2025 · 2 papers🏢AppleCupertino · United States2019–2020 · 2 papers🎓University of North TexasDenton · United States2014–2015 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksLanguage and Linguistics · 3 worksComputer Science · 4 worksArts and Humanities · 3 worksMathematics · 1 work

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

 Works by year

2020s

20261 paper20251 paper20241 paper20231 paper

 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 (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 (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 (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 (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 ↗arXiv (Cornell University) · no summary yetChen‐Yu Lee et al.2014 · 1,062 citations
  2. Learning to Prompt for Continual Learning ↗arXiv:2112.08654 · no summary yetZifeng Wang et al.2021 · 855 citations
  3. Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model SizesFindings of the Association for Computational LinguisticsCheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.2023 · 690 citations
  4. Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChen‐Yu Lee et al.2019 · 586 citations
  5. Recursive Recurrent Nets with Attention Modeling for OCR in the Wild ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChen‐Yu Lee, Simon Osindero2016 · 471 citations
  6. FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetChen-Yu Lee et al.2022 · 106 citations
  7. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ↗arXiv:2401.04398 · no summary yetZilong Wang et al.2024 · 105 citations
  8. Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models ↗arXiv (Cornell University) · no summary yetCheng-Yu Hsieh et al.2023 · 71 citations
  9. Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetCheng-Yu Hsieh et al.2024 · 61 citations
  10. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  11. PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem SolvingConference on Empirical Methods in Natural Language Processing (EMNLP)Mihir Parmar, Xin Liu, Palash Goyal, et al.2025 · 16 citations
  12. When One LLM Drools, Multi-LLM Collaboration RulesAnnual Meeting of the Association for Computational Linguistics (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 ↗neural information processing systems · no summary yetShangbin Feng et al.2025 · 7 citations
  14. SAGE: Steerable Agentic Data Generation for Deep Search with Execution Feedback ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetFangyuan Xu et al.2026

 Co-authors here

12 of 29 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 874 times (of the 149,439 papers whose bibliographies we read); 139 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chen-yu-lee/