[On Demand] Multilingual Causal Reasoning: A Deep Dive into Language-Specific Findings
Watch on-demand and discover how language structure influences large language models’ (LLMs) ability to reason.
Causal reasoning is a key test of AI’s ability to make sense of the world—but today’s large language models (LLMs) still struggle with it.
This webinar explores causal reasoning in LLMs and reveals key findings from Welo Data’s latest assessments. It explores why languages like English and Spanish excel and examines the impact of linguistic features such as word order and morphology. The expanded analysis now includes French, German, and bilingual evaluations.
Scroll👇 to watch a recording of the webinar on-demand.
Multilingual Causal Reasoning: A Deep Dive into Language-Specific Findings
Topics Include
- How LLMs perform in causal reasoning across languages
- The role of language structure and data availability in AI outcomes
- Insights from our Model Assessment Suite (MAS) on multilingual AI evaluation
- Future directions for cross-lingual AI research
Moderator
- Tally Callahan, Solutions Architect, Welo Data
Speakers
- Dr. Abigail Thornton, Research Labs Lead, Welo Data
- Dr. David Harper