Elamur Research⌕
☰
home / authors / Chun-Liang Li

Chun-Liang Li

Chun-Liang Li has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Alexander Ratner, Chen-Yu Lee, Cheng-Yu Hsieh.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 46 · 335 works · 10,215 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 722 times in our library · 11 more in our library without a page yet · ⭐ Paper Stars ranking: #3105

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

🏥St. Jude Children's Research HospitalMemphis · United States2012–2026 · 85 papersEmployment 2014–2017 · Instructor/Research Associate, Tumor Cell BiologyEmployment 2017–2023 · Assistant Member, Tumor Cell BiologyEmployment since 2023 · Associate Member, Tumor Cell Biologycurrent🏢GoogleMountain View · United States2020–2026 · 29 paperscurrent🎓University of KentuckyLexington · United States2026 · 2 paperscurrent🎓Pennsylvania State UniversityState College · United States2026 · 1 papercurrent🎓University of California, Santa CruzSanta Cruz · United States2026 · 1 papercurrent🎓Carnegie Mellon UniversityPittsburgh · United States2015–2021 · 28 papers🎓Shanghai Jiao Tong UniversityShanghai · China2008–2023 · 16 papers🏛️Chinese Academy of SciencesBeijing · China2004–2016 · 14 papers🔬Shanghai Institutes for Biological SciencesShanghai · China2008–2016 · 13 papers🎓National Taiwan UniversityTaipei · Taiwan2011–2015 · 11 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 28 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 · 2 worksLanguage and Linguistics · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksMathematics · 1 work

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

 Works by year

2020s

20241 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. Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum (2024 · 16 citations)
    Standard LLM pretraining uses concat-and-chunk: documents are shuffled, joined, and cut into fixed-length sequences.

All works

13 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence ↗arXiv (Cornell University) · no summary yetKihyuk Sohn et al.2020 · 2,292 citations
  2. 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
  3. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding ↗arXiv:2401.04398 · no summary yetZilong Wang et al.2024 · 105 citations
  4. Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models ↗arXiv (Cornell University) · no summary yetCheng-Yu Hsieh et al.2023 · 71 citations
  5. Activation of γ-globin expression by hypoxia-inducible factor 1α ↗Nature · no summary yetRuopeng Feng et al.2022 · 69 citations
  6. 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
  7. Point Cloud GAN ↗arXiv (Cornell University) · no summary yetChunliang Li et al.2018 · 22 citations
  8. Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumConference on Neural Information Processing Systems (NeurIPS)Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.2024 · 16 citations
  9. The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains ↗arXiv (Cornell University) · no summary yetScott Geng et al.2025 · 10 citations
  10. The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better ↗neural information processing systems · no summary yetScott Geng et al.2024 · 9 citations
  11. Inductive Deductive Synthesis: Enabling AI to Generate Formally Verified Systems ↗arXiv (Cornell University) · no summary yetShubham Agarwal et al.2026 · 1 citation
  12. Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions ↗arXiv (Cornell University) · no summary yetYu-Guan Hsieh et al.2024 · 1 citation
  13. FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations ↗arXiv (Cornell University) · no summary yetCheng-Yu Hsieh et al.2025

 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 722 times (of the 149,439 papers whose bibliographies we read); 121 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/chun-liang-li/