43 citations · 43 across the 12 of their papers we have counts for
4 papers · 1 filter
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz +2
Mixture-of-Experts (MoE) architectures have become the key to scaling modern LLMs, yet little is understood about how their sparse routing dynamics respond to multilingual data. In…
IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India
Tung Nguyen, Harkanwar Singh, Nilay Naharas +2
Regional weather forecasting is a critical problem for localized climate adaptation, disaster mitigation, and sustainable development. While machine learning has shown impressive p…
The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs
Lucas Bandarkar, Nanyun Peng
Large language models (LLMs) still struggle across tasks outside of high-resource languages. In this work, we investigate cross-lingual transfer to lower-resource languages where t…
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection
Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar +4
Event Detection (ED) -- the task of identifying event mentions from natural language text -- is critical for enabling reasoning in highly specialized domains such as biomedicine, l…