Elamur Research⌕
☰
home / authors / Hai Ye

Hai Ye

Hai Ye has 2 papers in our library, in 2021–2025, most of them on Language models & pretraining, Reasoning; often with Lidong Bing, Bin Wang, Bosheng Ding.

2 papers in our library · 2021–2025

OpenAlex · ORCID · h-index 20 · 82 works · 1,326 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 200 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #5570

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. 8 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation (2021 · 204 citations)
    Adapter-based tuning inserts small trainable modules into a frozen pretrained language model (PrLM). Earlier work valued it mainly for saving parameters. This paper asks a different question: when does it actually beat full fine-tuning? The authors use the Houlsby et al. adapter design. Each transformer layer gets…
  2. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models (2025 · 9 citations)
    DeepSeek-R1 showed that explicit step-by-step reasoning can be trained into language models cheaply. However, DeepSeek did not publish full recipes, training data or configurations for DeepSeek-R1-Zero, DeepSeek-R1 or the distilled models. This survey collects the open replication efforts that appeared in the roughly…

All works

5 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. Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetHai Ye et al.2018 · 196 citations
  2. Semi-Supervised Learning for Neural Keyphrase Generation ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetHai Ye, Lu Wang2018 · 129 citations
  3. Interpretable Rationale Augmented Charge Prediction System ↗Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations · no summary yetXin Jiang et al.2018 · 60 citations
  4. 100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language ModelsarXiv:2505.00551Chong Zhang, Yue Deng, Xiang Lin, et al.2025 · 9 citations

 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 200 times (of the 149,439 papers whose bibliographies we read); 17 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/hai-ye/