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Yapei Chang

PhD Student
University of Maryland
yapeic (at) umd.edu


About Me

Hi! I’m a PhD student at the University of Maryland, College Park, advised by Mohit Iyyer with a research focus on NLP. Prior to transferring to UMD, I was affiliated with the UMass Amherst NLP Lab, where I was also advised by Mohit. My main interests include:

I also contribute to open model efforts: Olmo 3 at Ai2, and the next generation of Nemotron models at NVIDIA (in progress).

I like gaming and tinkering with mechanical keyboards in the free time I aggregate from my fluctuating work-life balance (it’s a work in progress ┐(‘~` )┌).

Updates

  • Jul 2026 Presented How2Everything and AutoFiction at ICML in Seoul, Korea.
  • Jun 2026 Released Argument Collapse, where we compare LLM- and human-written essays on the same debates and find that LLMs recycle a small set of arguments and structures, while humans vary widely.
  • May 2026 Interning at NVIDIA, working with the Nemotron post-training team.
  • Dec 2025 Olmo 3 is out! All code, training data, and intermediate model checkpoints are publicly available.
  • Jul 2025 Invited talk at the Google Multilinguality Reading Group.
  • Jun 2025 Interned at Ai2 (OLMo team), working with Kyle Lo & Luca Soldaini.
  • May 2025 Released BLEUBERI, which shows that simple string-matching metrics like BLEU can be used as effective rewards to improve general instruction following.
  • Jan 2025 Moved to UMD, College Park! Also got my MS degree from UMass Amherst.
  • Oct 2024 ✈ Attended COLM to present FABLES, our recent work on faithfulness evaluation in book-length summarization.
  • May 2024 ✈ Attended ICLR and gave an oral presentation for BooookScore, a paper on book-length summarization and finegrained coherence evaluation.
  • Sep 2022 Started my PhD!

Selected Publications

For the complete list of publications, please visit Google Scholar.

  1. EMNLP
    Yekyung Kim, Yapei Chang, Chau Minh Pham, Mohit Iyyer
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026.

  2. ICML
    Yapei Chang, Kyle Lo, Mohit Iyyer, Luca Soldaini
    International Conference on Machine Learning (ICML), 2026.

  3. Technical Report
    Olmo Team, including Yapei Chang
    Technical Report, 2025.

  4. Preprint
    Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber
    Preprint, 2025.

  5. NeurIPS
    Yapei Chang, Yekyung Kim, Michael Krumdick, Amir Zadeh, Chuan Li, Chris Tanner, Mohit Iyyer
    Conference on Neural Information Processing Systems (NeurIPS), 2025.

  6. COLM
    Chau Minh Pham, Yapei Chang, Mohit Iyyer
    Conference on Language Modeling (COLM), 2025.

  7. EMNLP
    Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer
    Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.

  8. COLM
    Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer
    Conference on Language Modeling (COLM), 2024.

  9. ICLR
    Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
    International Conference on Learning Representations (ICLR), 2024.

Projects