🧑‍🔬 Ee-Peng Lim

🏛️ Affiliations

🎓Singapore Management UniversitySingapore · Singapore1998–2026 · 306 papersEmploymentcurrent🎓Nanyang Technological UniversitySingapore · Singapore1995–2012 · 221 papers🎓University of MinnesotaMinneapolis · United States1989–2002 · 9 papersEducation 1989–1994 · PhD🎓Chinese University of Hong KongHong Kong · China2002–2017 · 4 papers🎓Purdue University West LafayetteWest Lafayette · United States2002 · 2 papers

🏛️Singapore Management UnversitySingapore · Singapore2008Employment since 2008

🎓National University of SingaporeSingapore · SingaporeEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models (2023 · 401 citations)
   Fully fine-tuning open LLMs is costly in compute and storage. Parameter-efficient fine-tuning (PEFT) trains only small add-on modules, but it was unclear which PEFT variant, inserted where and with which hyperparameters, works best for modern LLMs. The authors built LLM-Adapters, an open framework that attaches…
2. MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling (2026)
   LLM-based Motivational Interviewing (MI) counselors usually respond without explicit reasoning tied to counseling technique.

All works

7 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. Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetLei Wang et al.2023 · 666 citations
2. LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhiqiang Hu, Lei Wang, Yihuai Lan, et al.2023 · 401 citations
3. Graph-to-Tree Learning for Solving Math Word Problems ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJipeng Zhang et al.2020 · 186 citations
4. MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers ↗AAAI 2022 demo (arXiv 2109.00799) · no summary yetYihuai Lan et al.2022 · 83 citations
5. Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem ↗IJCAI 2020 · no summary yetJipeng Zhang et al.2020 · 76 citations
6. Streaming Classification with Emerging New Class by Class Matrix Sketching ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetXin Mu et al.2017 · 70 citations
7. MIThinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing CounselingFindings of the Association for Computational LinguisticsYizhe Yang, Palakorn Achananuparp, Heyan Huang, et al.2026

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Heyan Huang
• Jing Jiang
• Lei Wang
• Lidong Bing
• Soujanya Poria
• Yizhe Yang
• Zhiqiang Hu

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2023
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• AAAI 2022 demo (arXiv 2109.00799)
• IJCAI 2020
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 614 times (of the 149,439 papers whose bibliographies we read); 130 citing papers with a page here →.

Updated 2 November 2026

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