--- title: "Heng-Tze Cheng — author profile and papers in our library" description: "Heng-Tze Cheng, University of California, Berkeley: 2 papers on Elamur Research (2022–2023), h-index 19 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/heng-tze-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/heng-tze-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Heng-Tze Cheng # Heng-Tze Cheng Heng-Tze Cheng has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Apoorv Kulshreshtha](https://md.research.elamur.ai/free/en/authors/apoorv-kulshreshtha/), [Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/), [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/). 2 papers in our library · 2022–2023 [OpenAlex](https://openalex.org/A5054880622) · [ORCID](https://orcid.org/0009-0007-3845-8796) · [Wikidata](https://www.wikidata.org/wiki/Q130878416) · [**h-index 19**](https://openalex.org/authors/A5054880622) · [39 works](https://openalex.org/works?filter=author.id:A5054880622) · [6,623 citations](https://openalex.org/works?filter=author.id:A5054880622&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/heng-tze-cheng/#papers) · [🔗 Cited 3,192 times in our library](https://md.research.elamur.ai/free/en/authors/heng-tze-cheng/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2043](https://md.research.elamur.ai/free/en/paper-stars/page/21/#star-2043) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Heng-Tze+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Heng-Tze+Cheng) · [dblp](https://dblp.org/search?q=Heng-Tze+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Heng-Tze+Cheng) ## Affiliations [🎓**University of California, Berkeley** Berkeley · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🏢**Google** Mountain View · United States 2016–2022 · 12 papers](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2010–2014 · 12 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**National Taiwan University** Taipei · Taiwan 2008–2009 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) 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. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Chatbots · 1 work](https://md.research.elamur.ai/free/en/concepts/chatbot/) ## Works by year ### 2020s [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/heng-tze-cheng/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/heng-tze-cheng/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[LaMDA: Language Models for Dialog Applications](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-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](https://md.research.elamur.ai/free/en/papers/zheng-2023-take-step-back-evoking-reasoning/)** *(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 Applications arXiv:2201.08239**Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.*2022 · 1,344 citations*](https://md.research.elamur.ai/free/en/papers/thoppilan-2022-lamda-language-models-dialog-applications/) 2. [**Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models arXiv:2310.06117**Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, et al.*2023 · 126 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-take-step-back-evoking-reasoning/) 3. **[HyperPrompt: Prompt-based Task-Conditioning of Transformers ↗](https://arxiv.org/abs/2203.00759) arXiv (Cornell University) · no summary yet**Yun He et al.*2022 · 62 citations* 4. **[Self-Discover: Large Language Models Self-Compose Reasoning Structures ↗](https://arxiv.org/abs/2402.03620) arXiv:2402.03620 · no summary yet**Pei Zhou et al.*2024 · 61 citations* 5. **[NATURAL PLAN: Benchmarking LLMs on Natural Language Planning ↗](https://arxiv.org/abs/2406.04520) arXiv:2406.04520 · no summary yet**Huaixiu Steven Zheng et al.*2024 · 51 citations* 6. **[Controlled Decoding from Language Models ↗](https://arxiv.org/abs/2310.17022) arXiv (Cornell University) · no summary yet**Sidharth Mudgal et al.*2023 · 44 citations* 7. **[Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses ↗](https://doi.org/10.1145/3613905.3651093) Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA) · no summary yet**Xiao Ma et al.*2024 · 36 citations* 8. **[TensorFlow Estimators ↗](https://doi.org/10.1145/3097983.3098171) ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) · no summary yet**Heng-Tze Cheng et al.*2017 · 21 citations* 9. **[Towards Autonomous Mathematics Research ↗](https://arxiv.org/abs/2602.10177) arXiv (Cornell University) · no summary yet**Tony Feng et al.*2026 · 13 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Apoorv Kulshreshtha](https://md.research.elamur.ai/free/en/authors/apoorv-kulshreshtha/) - [Denny Zhou](https://md.research.elamur.ai/free/en/authors/denny-zhou/) - [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/) - [Hongrae Lee](https://md.research.elamur.ai/free/en/authors/hongrae-lee/) - [Huaixiu Steven Zheng](https://md.research.elamur.ai/free/en/authors/huaixiu-steven-zheng/) - [Jamie Hall](https://md.research.elamur.ai/free/en/authors/jamie-hall/) - [Noam Shazeer](https://md.research.elamur.ai/free/en/authors/noam-shazeer/) - [Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/) - [Romal Thoppilan](https://md.research.elamur.ai/free/en/authors/romal-thoppilan/) - [Swaroop Mishra](https://md.research.elamur.ai/free/en/authors/swaroop-mishra/) - [Xinyun Chen](https://md.research.elamur.ai/free/en/authors/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 →](https://md.research.elamur.ai/free/en/authors/heng-tze-cheng/cited-by/). Updated 2 November 2026