--- title: "Marianne Arriola · Cornell University — author profile and papers" description: "Marianne Arriola, Cornell University: 2 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/marianne-arriola/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/marianne-arriola/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Marianne Arriola # Marianne Arriola Marianne Arriola has 2 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/); often with [Volodymyr Kuleshov](https://md.research.elamur.ai/free/en/authors/volodymyr-kuleshov/), [Yair Schiff](https://md.research.elamur.ai/free/en/authors/yair-schiff/), [Alexander M. Rush](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5125991146) · [**h-index 1**](https://openalex.org/authors/A5125991146) · [11 works](https://openalex.org/works?filter=author.id:A5125991146) · [44 citations](https://openalex.org/works?filter=author.id:A5125991146&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/marianne-arriola/#papers) · [🔗 Cited 111 times in our library](https://md.research.elamur.ai/free/en/authors/marianne-arriola/cited-by/) · [⭐ Paper Stars ranking: #7343](https://md.research.elamur.ai/free/en/paper-stars/page/74/#star-7343) 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=Marianne+Arriola) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Marianne+Arriola) · [dblp](https://dblp.org/search?q=Marianne+Arriola) · [ACL Anthology](https://aclanthology.org/search/?q=Marianne+Arriola) ## Affiliations [🎓**Cornell University** Ithaca · United States 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/cornell-university/) · [🎓**Cornell Tech** New York · United States 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/cornell-tech/) 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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/marianne-arriola/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/marianne-arriola/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Simple and Effective Masked Diffusion Language Models](https://md.research.elamur.ai/free/en/papers/sahoo-2024-simple-effective-masked-diffusion-language/)** *(2024 · 152 citations)* Diffusion methods have trailed autoregressive (AR) models in language modeling likelihood. This work argues the gap is smaller than earlier reports suggested. The authors restrict themselves to masking (absorbing-state) discrete diffusion and present MDLM, which pairs careful modern training practice with a cleaner… 2. **[d2: Improving Reasoning in Diffusion Language Models via Trajectory Likelihood Estimation](https://md.research.elamur.ai/free/en/papers/wang-2025-d2-improving-reasoning-diffusion-language/)** *(2025 · 4 citations)* Reinforcement learning is the standard way to add reasoning skills to autoregressive LLMs. It is harder to apply to masked diffusion language models (DLMs) because policy-gradient updates need the likelihood of the whole sampling trajectory. Computing that likelihood naively takes one forward pass per denoising step.… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Volodymyr Kuleshov](https://md.research.elamur.ai/free/en/authors/volodymyr-kuleshov/) ×2 - [Yair Schiff](https://md.research.elamur.ai/free/en/authors/yair-schiff/) ×2 - [Alexander M. Rush](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 111 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/marianne-arriola/cited-by/). Updated 3 November 2026