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Zhiyuan Zhang

Zhiyuan Zhang has 3 papers in our library, in 2021–2023, most of them on Language models & pretraining; often with Baobao Chang, Chuanqi Tan, Fei Huang.

3 papers in our library · 2021–2023

OpenAlex · ORCID · h-index 18 · 149 works · 1,184 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 315 times in our library · ⭐ Paper Stars ranking: #3071

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. 30 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

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

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines (2023 · 261 citations)
    Pipelines that chain language model calls usually depend on long prompt templates tuned by hand. These prompts are fragile and often fail to transfer across models, domains or inputs. The authors present DSPy, a Python programming model that borrows ideas from neural network frameworks such as PyTorch. Developers…
  2. Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning (2021 · 200 citations)
    When very large pretrained language models are fine-tuned on small labeled datasets, they tend to overfit and transfer poorly to new domains or related tasks.
  3. Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models (2021 · 134 citations)
    Backdoor attacks make an NLP classifier behave normally on ordinary inputs but output an attacker-chosen class whenever a rare trigger word appears.

 Co-authors here

12 of 13 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 315 times (of the 141,840 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

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