--- title: "Michael Witbrock — author profile and papers · Reasoning" description: "Michael Witbrock, University of Auckland: 3 papers on Elamur Research (2023–2026), h-index 27 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/michael-witbrock/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/michael-witbrock/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Michael Witbrock # Michael Witbrock Michael Witbrock has 3 papers in our library, in 2023–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/), [Meng-Fen Chiang](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/), [Xianda Zheng](https://md.research.elamur.ai/free/en/authors/xianda-zheng/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5057995059) · [ORCID](https://orcid.org/0000-0002-7554-0971) · [Wikidata](https://www.wikidata.org/wiki/Q6835415) · [**h-index 27**](https://openalex.org/authors/A5057995059) · [169 works](https://openalex.org/works?filter=author.id:A5057995059) · [3,482 citations](https://openalex.org/works?filter=author.id:A5057995059&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/michael-witbrock/#papers) · [🔗 Cited 63 times in our library](https://md.research.elamur.ai/free/en/authors/michael-witbrock/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #8751](https://md.research.elamur.ai/free/en/paper-stars/page/88/#star-8751) 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=Michael+Witbrock) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Michael+Witbrock) · [dblp](https://dblp.org/search?q=Michael+Witbrock) · [ACL Anthology](https://aclanthology.org/search/?q=Michael+Witbrock) ## Affiliations [🎓**University of Auckland** Auckland · New Zealand 2019–2026 · 73 papersEmployment since 2019 · Professor, Computer Science*current*](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) · [🏢**Cycorp** Austin · United States 2003–2017 · 21 papersEmployment](https://ror.org/05y99bn19) · [🎓**Carnegie Mellon University** Pittsburgh · United States 1986–2018 · 13 papersEducation 1986–1995 · Ph.D., Computer Science](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🏢**IBM** Armonk · United States 2017–2019 · 10 papers](https://md.research.elamur.ai/free/en/companies/ibm/) · [🔬**IBM Research - Thomas J. Watson Research Center** Yorktown Heights · United States 2016–2017 · 2 papers](https://md.research.elamur.ai/free/en/labs/ibm-research-thomas-j-watson-research-center/) 🏛️**IBM Research** Yorktown Heights · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2016–2019Employment 2016–2019 · Distinguished Research Staff Member, AI [🏛️**IBM Research** United States 2016–2019Employment 2016–2019](https://ror.org/00h39s752) · [🎓**University of Otago** Dunedin · New Zealand 1980–1984Education 1980–1984 · BSc (Hons 1), Psychology](https://md.research.elamur.ai/free/en/universities/university-of-otago/) 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/michael-witbrock/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/michael-witbrock/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Large Language Models Are Not Strong Abstract Reasoners](https://md.research.elamur.ai/free/en/papers/gendron-2023-large-language-models-strong-abstract/)** *(2023 · 61 citations)* The paper asks whether today's LLMs can do genuine abstract reasoning, which means inferring a general rule from a handful of examples and applying it to new cases. 2. **[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/zheng-2026-disentangling-reasoning-logic-resolve-explicit/)** *(2026)* When retrieved documents give opposing answers to the same question, an LLM has to decide which source to trust. 3. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision](https://md.research.elamur.ai/free/en/papers/zheng-2026-evo-pi-aligning-medical-reasoning/)** *(2026)* Multimodal LLMs trained for reasoning usually get static supervision. Fixed prompts, rules or scalar rewards check answer format and correctness but do little to shape how the model reasons, which leads to plateaus, fragile generalization and reward hacking. Evo-PI addresses this by turning reasoning principles into… ## 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. **[Word Mover's Embedding: From Word2Vec to Document Embedding ↗](https://aclanthology.org/D18-1482/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lingfei Wu et al.*2018 · 121 citations* 2. [**Large Language Models Are Not Strong Abstract Reasoners arXiv:2305.19555**Gael Gendron, Qiming Bao, Michael Witbrock, et al.*2023 · 61 citations*](https://md.research.elamur.ai/free/en/papers/gendron-2023-large-language-models-strong-abstract/) 3. **[SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. ↗](https://stars.library.ucf.edu/scopus2010/5633) Journal of International Crisis and Risk Communication Research · no summary yet**Hui Cheng et al.*2012 · 25 citations* 4. **[Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning ↗](https://aclanthology.org/2024.findings-acl.353/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Qiming Bao et al.*2024 · 8 citations* 5. **[Team SRI-Sarnoff 's AURORA System @ TRECVID 2011 ↗](https://stars.library.ucf.edu/scopus2010/3121) no summary yet**Hui Cheng et al.*2011 · 6 citations* 6. **[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/zheng-2026-disentangling-reasoning-logic-resolve-explicit/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xianda Zheng, Zijian Huang, Meng-Fen Chiang, et al.*2026* 7. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision](https://md.research.elamur.ai/free/en/papers/zheng-2026-evo-pi-aligning-medical-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xianda Zheng, Huan Gao, Meng-Fen Chiang, et al.*2026* ## Co-authors here 3 co-authors with a page, the most papers together first. - [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/) ×2 - [Meng-Fen Chiang](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/) ×2 - [Xianda Zheng](https://md.research.elamur.ai/free/en/authors/xianda-zheng/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - Findings of the Association for Computational Linguistics: ACL 2024 - Journal of International Crisis and Risk Communication Research - Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/michael-witbrock/cited-by/). Updated 2 November 2026