---
title: "Ameya Prabhu · Tübingen AI Center — author profile and papers"
description: "Ameya Prabhu, Tübingen AI Center: 2 papers on Elamur Research (2023–2024), h-index 12 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/ameya-prabhu/"
---
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# Ameya Prabhu

Ameya Prabhu has 2 papers in our library, in 2023–2024, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/), [Alexis Ross](https://md.research.elamur.ai/free/en/authors/alexis-ross/), [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5113274335) · [**h-index 12**](https://openalex.org/authors/A5113274335) · [71 works](https://openalex.org/works?filter=author.id:A5113274335) · [945 citations](https://openalex.org/works?filter=author.id:A5113274335&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ameya-prabhu/#papers) · [🔗 Cited 360 times in our library](https://md.research.elamur.ai/free/en/authors/ameya-prabhu/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6658](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6658)

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=Ameya+Prabhu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ameya+Prabhu) · [dblp](https://dblp.org/search?q=Ameya+Prabhu) · [ACL Anthology](https://aclanthology.org/search/?q=Ameya+Prabhu)

## Affiliations

[🎓**University of Tübingen** Tübingen · Germany 2024–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-tubingen/) · [🎓**Tübingen AI Center** Tübingen · Germany 2024–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/tubingen-ai-center/) · [🎓**University of Oxford** Oxford · United Kingdom 2019–2024 · 17 papers](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🎓**International Institute of Information Technology, Hyderabad** Hyderabad · India 2015–2018 · 8 papers](https://md.research.elamur.ai/free/en/universities/international-institute-of-information-technology-hyderabad/)

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.

## 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 · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Geometry and Topology · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/geometry-and-topology/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

💡 Concepts 2 Key ideas and methods explained on our concept pages.[Scaling laws · 1 work](https://md.research.elamur.ai/free/en/concepts/scaling-laws/) · [Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/ameya-prabhu/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/ameya-prabhu/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Inverse Scaling: When Bigger Isn't Better](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)** *(2023 · 105 citations)* Scaling laws predict that larger language models steadily lower training loss and usually improve on downstream tasks.
2. **[Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry](https://md.research.elamur.ai/free/en/papers/sinha-2024-wu-s-method-can-boost/)** *(2024 · 7 citations)* Automated proving of olympiad geometry is often treated as a milestone for machine reasoning. AlphaGeometry is a neuro-symbolic system trained on 100 million synthetic proofs. It solved 25 of the 30 problems in the IMO-AG-30 benchmark, while the Wu's method baseline reported alongside it managed only ten. The authors…

## All works

7 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. [**Inverse Scaling: When Bigger Isn't Better arXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQF**Ian R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.*2023 · 105 citations*](https://md.research.elamur.ai/free/en/papers/mckenzie-2023-inverse-scaling-bigger-isn-t/)
2. **[A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to Reproducibility ↗](https://arxiv.org/abs/2504.07086) arXiv:2504.07086 · no summary yet**Andreas Hochlehnert et al.*2025 · 36 citations*
3. **[CiteME: Can Language Models Accurately Cite Scientific Claims? ↗](https://arxiv.org/abs/2407.12861) arXiv:2407.12861 · no summary yet**Ori Press et al.*2024 · 25 citations*
4. [**Wu's Method can Boost Symbolic AI to Rival Silver Medalists and AlphaGeometry to Outperform Gold Medalists at IMO Geometry arXiv:2404.06405**Shiven Sinha, Ameya Prabhu, Ponnurangam Kumaraguru, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/sinha-2024-wu-s-method-can-boost/)
5. **[A Practitioner's Guide to Continual Multimodal Pretraining ↗](https://arxiv.org/abs/2408.14471) arXiv (Cornell University) · no summary yet**Karsten Roth et al.*2024 · 4 citations*
6. **[A Practitioner's Guide to Real-World Continual Multimodal Pretraining ↗](https://doi.org/10.52202/079017-4252) neural information processing systems · no summary yet**Vishaal Udandarao et al.*2024 · 4 citations*
7. **[Round-Trip Translation Reveals What Frontier Multilingual Benchmarks Miss ↗](https://arxiv.org/abs/2604.12911) arXiv:2604.12911 · no summary yet**Ronald Skorobogat, Ameya Prabhu, Matthias Bethge*2026 · 2 citations*

## Co-authors here

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

- [Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/)
- [Alexis Ross](https://md.research.elamur.ai/free/en/authors/alexis-ross/)
- [Alicia Parrish](https://md.research.elamur.ai/free/en/authors/alicia-parrish/)
- [Alisa Liu](https://md.research.elamur.ai/free/en/authors/alisa-liu/)
- [Michael Pieler](https://md.research.elamur.ai/free/en/authors/michael-pieler/)
- [Ponnurangam Kumaraguru](https://md.research.elamur.ai/free/en/authors/ponnurangam-kumaraguru/)

## Venues

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

- [Nature](https://md.research.elamur.ai/free/en/venues/nature/)
- neural information processing systems

## Cited by

Papers of our library cite their works 360 times (of the 149,439 papers whose bibliographies we read); [86 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/ameya-prabhu/cited-by/).

Updated 30 October 2026
