Rafael Mosquera-Gómez

MS student, Economics, Universidad de Los Andes

Joined

June 2023

Names

Rafael Mosquera-Gómez (Preferred)

Rafael Mosquera

Rafael Mosquera Gómez

Emails

****@mlcommons.org (Confirmed)

****@factored.ai (Confirmed)

****@gmail.com (Confirmed)

****@uniandes.edu.co (Confirmed)

Personal Links

Google Scholar

ORCID

Career & Education History

MS student

Economics, Universidad de Los Andes (uniandes.edu.co)

2021 – 2026

Undergrad student

Economics, Universidad de Los Andes (uniandes.edu.co)

2015 – 2021

Advisors, Relations & Conflicts

No relations added

Expertise

Deep Learning

Present

Optimization and Control

2020 – Present

Time Series Forecasting

2017 – Present

Publications

Constrained Wikigame: Benchmarking Deductive Reasoning for Multi-Step Planning
Rafael Mosquera-Gómez, Juan Felipe Rodriguez, Martin Diaz Velez, Ivan Alvarenga de Sousa Junior, Juan Jaramillo
- ICLR 2026 Workshop LLM Reasoning
- Readers: Everyone
The ML-SUPERB 2.0 Challenge: Towards Inclusive ASR Benchmarking for All Language Varieties
William Chen, Chutong Meng, Jiatong Shi, Martijn Bartelds, Shih-Heng Wang, Hsiu-Hsuan Wang, Rafael Mosquera, Sara Hincapie, Dan Jurafsky, Antonis Anastasopoulos, Hung-yi Lee, Karen Livescu, Shinji Watanabe
- CoRR 2025
- Readers: Everyone
Clinical knowledge in LLMs does not translate to human interactions
Andrew M. Bean, Rebecca Payne, Guy Parsons, Hannah Rose Kirk, Juan Ciro, Rafael Mosquera, Sara Hincapié Monsalve, Aruna S. Ekanayaka, Lionel Tarassenko, Luc Rocher, Adam Mahdi
- CoRR 2025
- Readers: Everyone
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Ciro, Rafael Mosquera, Bhargavi Paranjape, Adina Williams, Tal Linzen, Ryan Cotterell
- CoRR 2025
- Readers: Everyone
Lexically-constrained automated prompt augmentation: A case study using adversarial T2I data
Jessica Quaye, Alicia Parrish, Oana Inel, Minsuk Kahng, Charvi Rastogi, Hannah Rose Kirk, Jess Tsang, Nathan L Clement, Rafael Mosquera, Juan Manuel Ciro, Vijay Janapa Reddi, Lora Aroyo
- SafeGenAi Poster
- Readers: Everyone
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Michael Bean, Katerina Margatina, Rafael Mosquera, Juan Manuel Ciro, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott A. Hale
- NeurIPS 2024 Track Datasets and Benchmarks Oral
- Readers: Everyone
Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt, Aaron Mueller, Leshem Choshen, Ethan Wilcox, Chengxu Zhuang, Juan Manuel Ciro, Rafael Mosquera, Bhargavi Paranjape, Adina Williams, Tal Linzen, Ryan Cotterell
- CoNLL (BabyLM) 2023
- Readers: Everyone
Adversarial Nibbler: An Open Red-Teaming Method for Identifying Diverse Harms in Text-to-Image Generation
Jessica Quaye, Alicia Parrish, Oana Inel, Charvi Rastogi, Hannah Rose Kirk, Minsuk Kahng, Erin van Liemt, Max Bartolo, Jess Tsang, Justin White, Nathan Clement, Rafael Mosquera, Juan Ciro, Vijay Janapa Reddi, Lora Aroyo
- FAccT 2024
- Readers: Everyone
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models
Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew M. Bean, Katerina Margatina, Rafael Mosquera Gómez, Juan Ciro, Max Bartolo, Adina Williams, He He, Bertie Vidgen, Scott Hale
- NeurIPS 2024
- Readers: Everyone

View all 11 publications

Co-Authors

View all 93 co-authors