29 citations · 53 across the 18 of their papers we have counts for
3 papers · 1 filter
Finding Culture-Sensitive Neurons in Vision-Language Models
Xiutian Zhao, Rochelle Choenni, Rohit Saxena +1
Despite their impressive performance, vision-language models (VLMs) still struggle on culturally situated inputs. To understand how VLMs process culturally grounded information, we…
Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning
Sara Rajaee, Rochelle Choenni, Ekaterina Shutova +1
While the reasoning abilities of large language models (LLMs) continue to advance, it remains unclear how such ability varies across languages in multilingual LLMs and whether diff…
M-Wanda: Improving One-Shot Pruning for Multilingual LLMs
Rochelle Choenni, Ivan Titov
Multilingual LLM performance is often critically dependent on model size. With an eye on efficiency, this has led to a surge in interest in one-shot pruning methods that retain the…