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Anhad Mohananey

Anhad Mohananey has 2 papers in our library, in 2020–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Alex Warstadt, Alicia Parrish, Haokun Liu.

2 papers in our library · 2020–2026

OpenAlex · h-index 8 · 15 works · 1,435 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 2,335 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8741

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

🏢Google DeepMindLondon · United Kingdom2025–2026 · 3 paperscurrent🏢GoogleMountain View · United States2025–2026 · 2 paperscurrent🎓New York UniversityNew York · United States2019–2020 · 7 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 4Research subjects and languages the work is about.English · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20261 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BLiMP: The Benchmark of Linguistic Minimal Pairs for English (2020 · 21 citations)
    BLiMP is a challenge set for measuring which parts of English grammar language models have learned. It contains 67 paradigms of 1,000 sentence pairs each; within a pair the two sentences differ minimally and only one is acceptable. The pairs are generated automatically from templates designed by linguists and cover…
  2. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking (2026 · 4 citations)
    Reasoning-oriented LLMs often produce very long chains of thought even for trivial questions, such as simple arithmetic or date calculations.

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. BLiMP: The Benchmark of Linguistic Minimal Pairs for EnglishAlex Warstadt, Alicia Parrish, Haokun Liu, et al.Mova's core list · 21 citations
  2. Neural Unsupervised Parsing Beyond English ↗Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019) · no summary yetKatharina Kann et al.2019 · 7 citations
  3. Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM OverthinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, et al.2026 · 4 citations
  4. Self-Training for Unsupervised Parsing with PRPN ↗Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies · no summary yetAnhad Mohananey, Katharina Kann, Samuel R. Bowman2020 · 4 citations

 Co-authors here

11 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 2,335 times (of the 149,439 papers whose bibliographies we read); 482 citing papers with a page here →.

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