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Michael Witbrock

Michael Witbrock has 3 papers in our library, in 2023–2026, most of them on Reasoning, Language models & pretraining; often with Kaiqi Zhao, Meng-Fen Chiang, Xianda Zheng.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 27 · 169 works · 3,482 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 63 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #8751

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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. Large Language Models Are Not Strong Abstract Reasoners (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 (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 (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 ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetLingfei Wu et al.2018 · 121 citations
  2. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
  3. SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting. ↗Journal of International Crisis and Risk Communication Research · no summary yetHui Cheng et al.2012 · 25 citations
  4. Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetQiming Bao et al.2024 · 8 citations
  5. Team SRI-Sarnoff 's AURORA System @ TRECVID 2011 ↗no summary yetHui Cheng et al.2011 · 6 citations

 Co-authors here

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

Venues

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

 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 →.

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