Henok Biadglign Ademtew

I'm MS student in Computer Science at McGill and Mila, advised by Prof. David Ifeoluwa Adelani. I post-train LLMs, mostly multilingual models and RL for LLMs. The part I care about is what a model actually learns about a language, and whether that still holds once vision is in the loop. I release datasets and tools in the open. Before this I was an ML engineer at EAII and vella.ai.

In the past, I used to host research talks for the Cohere Labs community, with speakers including Zhijing Jin, Adaku Uchendu, Jack Morris, Niklas Muennighoff, Xingyao Wang, and others.

Blogs

What Does GRPO Actually Optimize?
Running Qwen3.5-27B on a Single A100

Selected papers

A Case Against Implicit Standards: Homophone Normalization in Machine Translation for Languages that use the Ge'ez Script
EMNLP 2025
All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages
CVPR 2025
ProverbEval: Exploring LLM Evaluation Challenges for Low-resource Language Understanding
NAACL 2025
CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark
NeurIPS Datasets & Benchmarks 2024
Many-Shot In-Context Learning: A Solution or Just an Enhancement for Low-Resource NLP?
Black in AI workshop, NeurIPS 2024
AGE: Amharic, Ge'ez and English Parallel Dataset
LoResMT workshop, ACL 2024

All publications