---
title: "Tyler Griggs — author profile and papers — Elamur Research"
description: "Tyler Griggs, University of California, Berkeley: 3 papers on Elamur Research (2024–2025), h-index 3 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/tyler-griggs/"
---
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# Tyler Griggs

Tyler Griggs has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [GPU & parallel computing](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/); often with [Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/), [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/), [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/).

3 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5095886747) · [ORCID](https://orcid.org/0009-0006-4655-0229) · [**h-index 3**](https://openalex.org/authors/A5095886747) · [11 works](https://openalex.org/works?filter=author.id:A5095886747) · [41 citations](https://openalex.org/works?filter=author.id:A5095886747&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/tyler-griggs/#papers) · [🔗 Cited 238 times in our library](https://md.research.elamur.ai/free/en/authors/tyler-griggs/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7209](https://md.research.elamur.ai/free/en/paper-stars/page/73/#star-7209)

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

## Affiliations

[🎓**University of California, Berkeley** Berkeley · United States 2024–2026 · 9 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/)

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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [GPU & parallel computing · 1 work](https://md.research.elamur.ai/free/en/topics/gpu-parallel-computing/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/tyler-griggs/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/tyler-griggs/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Reasoning Models Can Be Effective Without Thinking](https://md.research.elamur.ai/free/en/papers/ma-2025-reasoning-models-effective-thinking/)** *(2025 · 58 citations)* Large reasoning models usually write a long chain of thought before answering, and this costs many tokens and adds latency.
2. **[LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!](https://md.research.elamur.ai/free/en/papers/li-2025-llms-easily-learn-reason-demonstrations/)** *(2025 · 56 citations)* Large reasoning models solve hard problems through long chains of thought with self-checking and backtracking.
3. **[MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs](https://md.research.elamur.ai/free/en/papers/cao-2024-moe-lightning-high-throughput-moe/)** *(2024 · 51 citations)* Mixture-of-Experts LLMs keep per-token compute low but need very large amounts of memory. The expert FFNs of Mixtral 8x22B alone take more than 256 GB. This paper targets offline, throughput-oriented batch inference, such as model evaluation, synthetic data generation and data wrangling, when the GPU cannot hold the…

## All works

8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. [**Reasoning Models Can Be Effective Without Thinking arXiv:2504.09858**Wenjie Ma, Jingxuan He, Charlie Snell, et al.*2025 · 58 citations*](https://md.research.elamur.ai/free/en/papers/ma-2025-reasoning-models-effective-thinking/)
2. [**LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters! arXiv:2502.07374**Dacheng Li, Shiyi Cao, Tyler Griggs, et al.*2025 · 56 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-llms-easily-learn-reason-demonstrations/)
3. [**MoE-Lightning: High-Throughput MoE Inference on Memory-constrained GPUs ASPLOS 2025**Shiyi Cao, Shu Liu, Tyler Griggs, et al.*2024 · 51 citations*](https://md.research.elamur.ai/free/en/papers/cao-2024-moe-lightning-high-throughput-moe/)
4. **[SkyServe: Serving AI Models across Regions and Clouds with Spot Instances ↗](https://doi.org/10.1145/3689031.3717459) arXiv:2411.01438 · no summary yet**Ziming Mao et al.*2024 · 39 citations*
5. **[MoE-L ightning : High-Throughput MoE Inference on Memory-constrained GPUs ↗](https://doi.org/10.1145/3669940.3707267) ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yet**Shiyi Cao et al.*2025 · 28 citations*
6. **[Mélange: Cost Efficient Large Language Model Serving by Exploiting GPU Heterogeneity ↗](https://arxiv.org/abs/2404.14527) arXiv:2404.14527 · no summary yet**Tyler Griggs et al.*2024 · 26 citations*
7. **[Language Models Can Easily Learn to Reason from Demonstrations ↗](https://aclanthology.org/2025.findings-emnlp.866/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Dacheng Li et al.*2025 · 14 citations*
8. **[SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent ↗](https://arxiv.org/abs/2511.16108) arXiv (Cornell University) · no summary yet**Shiyi Cao et al.*2025 · 8 citations*

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Matei Zaharia](https://md.research.elamur.ai/free/en/authors/matei-zaharia/) ×3
- [Ion Gabriel Stoica](https://md.research.elamur.ai/free/en/authors/ion-gabriel-stoica/) ×2
- [Joseph E. Gonzalez](https://md.research.elamur.ai/free/en/authors/joseph-e-gonzalez/) ×2
- [Shiyi Cao](https://md.research.elamur.ai/free/en/authors/shiyi-cao/) ×2
- [Shu Liu](https://md.research.elamur.ai/free/en/authors/shu-liu/) ×2
- [Charlie Snell](https://md.research.elamur.ai/free/en/authors/charlie-snell/)
- [Dacheng Li](https://md.research.elamur.ai/free/en/authors/dacheng-li/)
- [Eric Tang](https://md.research.elamur.ai/free/en/authors/eric-tang/)
- [Jingxuan He](https://md.research.elamur.ai/free/en/authors/jingxuan-he/)
- [Sewon Min](https://md.research.elamur.ai/free/en/authors/sewon-min/)
- [Shishir G. Patil](https://md.research.elamur.ai/free/en/authors/shishir-g-patil/)
- [Wenjie Ma](https://md.research.elamur.ai/free/en/authors/wenjie-ma/)

## Venues

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

- ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
- ASPLOS 2025
- Findings of the Association for Computational Linguistics: EMNLP 2025

## Cited by

Papers of our library cite their works 238 times (of the 149,439 papers whose bibliographies we read); [46 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tyler-griggs/cited-by/).

Updated 3 November 2026
