---
title: "Tatsunori Hashimoto — papers"
description: "Tatsunori Hashimoto: 6 papers in the Elamur Research library (2022–2025) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/tatsunori-hashimoto/"
---
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# Tatsunori Hashimoto

6 papers on this site (2022–2025)

[OpenAlex](https://openalex.org/A5015518638) · [ORCID](https://orcid.org/0000-0003-0521-5855) · h-index 36 · 144 works · 10695 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [s1: Simple test-time scaling](https://md.research.elamur.ai/free/en/papers/muennighoff-2025-s1-simple-test-time-scaling/) — Niklas Muennighoff, Zitong Yang, Weijia Shi, et al. · 2025
- [Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers](https://md.research.elamur.ai/free/en/papers/si-2024-llms-generate-novel-research/) — Chenglei Si, Diyi Yang, Tatsunori Hashimoto · 2024
- [Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions](https://md.research.elamur.ai/free/en/papers/bianchi-2023-safety-tuned-llamas-lessons-improving/) — Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, et al. · 2023
- [Whose Opinions Do Language Models Reflect?](https://md.research.elamur.ai/free/en/papers/santurkar-2023-whose-opinions-language-models-reflect/) — Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al. · 2023
- [Contrastive Decoding: Open-ended Text Generation as Optimization](https://md.research.elamur.ai/free/en/papers/li-2022-contrastive-decoding-open-ended-text/) — Xiang Lisa Li, Ari Holtzman, Daniel Fried, et al. · 2022
- [Emergent Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022
