🧑‍🔬 Zhenfang Chen

🏛️ Affiliations

🏢IBMArmonk · United States2022–2025 · 9 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2022–2025 · 7 paperscurrent🎓University of Hong KongPok Fu Lam · China2017–2023 · 8 papers🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States2021Employment since 2021 · research scientist, MIT-IBM Watson AI lab

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 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. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision (2023 · 236 citations)
   Popular AI assistants are usually aligned with supervised fine-tuning and RLHF. Both need large amounts of human annotation, which is expensive and can be inconsistent or biased. Open models such as Alpaca and Vicuna avoid that cost by distilling outputs from already-aligned commercial systems, so they still rely on…
2. SALMON: Self-Alignment with Instructable Reward Models (2023 · 41 citations)
   The paper tackles the heavy cost of aligning large language models with SFT plus RLHF, which needs many human-written demonstrations and preference labels.
3. ModuleFormer: Modularity Emerges from Mixture-of-Experts (2023 · 21 citations)
   Dense large language models use every parameter for every token. This makes them costly to run and hard to update with new knowledge without catastrophic forgetting. Earlier modular approaches based on Sparse Mixture of Experts, such as DEMix, depended on domain-labeled training data. The authors propose…

All works

7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionConference on Neural Information Processing Systems (NeurIPS)Zhiqing Sun, Yikang Shen, Qinhong Zhou, et al.2023 · 236 citations
2. Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetZhenfang Chen et al.2019 · 103 citations
3. Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZitian Chen et al.2023 · 100 citations
4. Planning with Large Language Models for Code Generation ↗arXiv:2303.05510 · no summary yetShun Zhang et al.2023 · 90 citations
5. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
6. ModuleFormer: Modularity Emerges from Mixture-of-ExpertsarXiv:2306.04640Yikang Shen, Zheyu Zhang, Tianyou Cao, et al.2023 · 21 citations
7. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search ↗arXiv:2502.02508 · no summary yetMaohao Shen et al.2025 · 13 citations

🤝 Co-authors here

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

• Chuang Gan ×3
• Yikang Shen ×3
• David Cox ×2
• Hongxin Zhang ×2
• Qinhong Zhou ×2
• Yiming Yang ×2
• Zhiqing Sun ×2
• Shawn Tan
• Zheyu Zhang

Venues

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

• Conference on Neural Information Processing Systems (NeurIPS): NeurIPS 2023
• IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
• Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 323 times (of the 149,439 papers whose bibliographies we read); 75 citing papers with a page here →.

Updated 30 October 2026

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