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John Palowitch

John Palowitch has 2 papers in our library, in 2025, most of them on Reasoning; often with Alex Fabrikant, Gladys Tyen, Hritik Bansal.

2 papers in our library · 2025

OpenAlex · ORCID · Wikidata · h-index 12 · 42 works · 4,497 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 54 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7455

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

🏢GoogleMountain View · United States2019–2025 · 13 paperscurrent🎓University of PennsylvaniaPhiladelphia · United States2025 · 2 paperscurrent🎓University of North Carolina at Chapel HillChapel Hill · United States2016–2020 · 9 papers

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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. BIG-Bench Extra Hard (2025 · 58 citations)
    BIG-Bench Hard (BBH) used to be the standard test of broad, non-mathematical reasoning in LLMs. Frontier systems now score above 90% on it, so it no longer separates strong models from each other. The authors present BIG-Bench Extra Hard (BBEH), which swaps each of the 23 BBH tasks for a new, much tougher task that…
  2. Entailed Between the Lines: Incorporating Implication into NLI (2025 · 6 citations)
    Natural Language Inference (NLI) models are usually trained to decide whether a hypothesis follows from a premise.

All works

4 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. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  2. Entailed Between the Lines: Incorporating Implication into NLIAnnual Meeting of the Association for Computational Linguistics (ACL)Shreya Havaldar, Hamidreza Alvari, John Palowitch, et al.2025 · 6 citations
  3. Zero-Shot Transfer Learning Within a Heterogeneous Graph Via Knowledge Transfer Networks ↗neural information processing systems · no summary yetMinji Yoon et al.2022 · 5 citations
  4. Graph Generative Model for Benchmarking Graph Neural Networks ↗arXiv (Cornell University) · no summary yetMinji Yoon et al.2022 · 4 citations

 Co-authors here

8 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 54 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

Updated

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