🧑‍🔬 Heng-Tze Cheng

🏛️ Affiliations

🎓University of California, BerkeleyBerkeley · United States2026 · 1 papercurrent🏢GoogleMountain View · United States2016–2022 · 12 papers🎓Carnegie Mellon UniversityPittsburgh · United States2010–2014 · 12 papers🎓National Taiwan UniversityTaipei · Taiwan2008–2009 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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. LaMDA: Language Models for Dialog Applications (2022 · 1,344 citations)
   LaMDA asks whether simply making a dialog model bigger is enough to get a conversational agent that is fluent, safe and factually reliable.
2. Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models (2023 · 126 citations)
   Large language models still struggle with multi-step problems full of specific details. They lose sight of the governing rule or fail to recall the right facts, and Chain-of-Thought only partly helps. The Google DeepMind authors propose STEP-BACK PROMPTING, a two-stage few-shot technique. First, the model is shown…

All works

9 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. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
2. Take a Step Back: Evoking Reasoning via Abstraction in Large Language ModelsarXiv:2310.06117Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, et al.2023 · 126 citations
3. HyperPrompt: Prompt-based Task-Conditioning of Transformers ↗arXiv (Cornell University) · no summary yetYun He et al.2022 · 62 citations
4. Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗arXiv:2402.03620 · no summary yetPei Zhou et al.2024 · 61 citations
5. NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗arXiv:2406.04520 · no summary yetHuaixiu Steven Zheng et al.2024 · 51 citations
6. Controlled Decoding from Language Models ↗arXiv (Cornell University) · no summary yetSidharth Mudgal et al.2023 · 44 citations
7. Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses ↗Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yetXiao Ma et al.2024 · 36 citations
8. TensorFlow Estimators ↗ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yetHeng-Tze Cheng et al.2017 · 21 citations
9. Towards Autonomous Mathematics Research ↗arXiv (Cornell University) · no summary yetTony Feng et al.2026 · 13 citations

🤝 Co-authors here

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

• Apoorv Kulshreshtha
• Denny Zhou
• Ed H. Chi
• Hongrae Lee
• Huaixiu Steven Zheng
• Jamie Hall
• Noam Shazeer
• Quoc Viet Le
• Romal Thoppilan
• Swaroop Mishra
• Xinyun Chen

Venues

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

• ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
• Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

🔗 Cited by

Papers of our library cite their works 3,192 times (of the 149,439 papers whose bibliographies we read); 794 citing papers with a page here →.

Updated 2 November 2026

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