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Thom Lake

2 accepted papers

2025

ChartMuseum: Testing Visual Reasoning Capabilities of Large Vision-Language Models

NeurIPS 2025poster

Chart understanding presents a unique challenge for large vision-language models (LVLMs), as it requires the integration of sophisticated textual and visual reasoning capabilities. However, current LVLMs exhibit a notable imbalance between these skills, falling short on visual reasoning that is diff…

Cited by 0SourcecodeScholar
2025

From Distributional to Overton Pluralism: Investigating Large Language Model Alignment

NAACL 2025long

The alignment process changes several properties of a large language model’s (LLM’s) output distribution. We analyze two aspects of post-alignment distributional shift of LLM responses. First, we re-examine previously reported reductions in response diversity post-alignment. Our analysis suggests th…