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Lawrence S. Moss

Lawrence S. Moss has 2 papers in our library, in 2019–2020, most of them on Reasoning, Interpretability; often with Hai Hu, Kyle Richardson, Ashish Sabharwal.

2 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 26 · 168 works · 3,647 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 186 citations in our library · 3 more in our library without a page yet · ⭐ Paper Star rank #4431

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

🎓Indiana University BloomingtonBloomington · United States1992–2026 · 123 paperscurrent🎓Indiana UniversityBloomington · United States1992–2026 · 104 paperscurrent🎓City College of New YorkNew York · United States2026 · 1 papercurrent🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights · United States1990–2006 · 7 papers🎓University of MichiganAnn Arbor · United States1986–1987 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 2 Reasoning · 2 works Interpretability · 1 work

 Works by year

2020s

20201 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. OCNLI: Original Chinese Natural Language Inference (2020 · 147 citations)
    Most progress in natural language inference (NLI) has happened in English. Resources for other languages have mostly been built by machine-translating English corpora, which brings in translation errors, unnatural "translationese" and Western cultural content. OCNLI addresses this gap for Chinese. It is a corpus of…
  2. Probing Natural Language Inference Models through Semantic Fragments (2019 · 102 citations)
    The paper asks whether strong NLI models can handle, or quickly acquire, reasoning skills such as boolean coordination, quantifiers, conditionals, comparatives, counting, and monotonicity.

All works

5 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. OCNLI: Original Chinese Natural Language InferenceHai Hu, Kyle Richardson, Liang Xu, et al.arXiv:2010.05444 · 147 citations
  2. Probing Natural Language Inference Models through Semantic FragmentsKyle Richardson, Hai Hu, Lawrence S. Moss, et al.Proceedings of the AAAI Conference on… · 102 citations
  3. MonaLog: a Lightweight System for Natural Language Inference Based on Monotonicity (original ↗)Hai Hu et al.2020 · Proceedings of the Society for Computation in… · 50 citations · no summary yet
  4. Curing the SICK and Other NLI Maladies (original ↗)Aikaterini-Lida Kalouli et al.2023 · Computational Linguistics · 14 citations · no summary yet
  5. Math Natural Language Inference: this should be easy! (original ↗)Valeria de Paiva et al.2025 · Proceedings of the 14th Joint Conference on… · no summary yet

 Co-authors here

6 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 186 times (of the 141,840 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated

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