12 citations · 14 across the 9 of their papers we have counts for
5 papers · 1 filter
Reasoning Primitives in Hybrid and Non-Hybrid LLMs: Do Architectural Differences Yield Advantages in State-Tracking and Recall?
Shivam Rawat, Lucie Flek, Florian Mai +1
Reasoning in large language models is often discussed as a single capability, but some of its gains may stem from simpler underlying operations. We examine two such primitives, rec…
Tucano 2 Cool: Better Open Source LLMs for Portuguese
Nicholas Kluge Corrêa, Aniket Sen, Shiza Fatimah +4
We present Tucano 2, a fully open suite of large language models (LLMs) with 0.5-3.7 billion parameters, designed to address certain gaps in open-source development for Portuguese…
Raising Bars, Not Parameters: LilMoo Compact Language Model for Hindi
Shiza Fatimah, Aniket Sen, Sophia Falk +3
The dominance of large multilingual foundation models has widened linguistic inequalities in Natural Language Processing (NLP), often leaving low-resource languages underrepresente…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
Tucano: Advancing Neural Text Generation for Portuguese
Nicholas Kluge Corrêa, Aniket Sen, Sophia Falk +1
Significant advances have been made in natural language processing in recent years. However, our current deep learning approach to language modeling requires substantial resources…