4 papers
Know Your Limits : On the Faithfulness of LLMs as Solvers and Autoformalizers in Legal Reasoning
Olivia Peiyu Wang, Sanna Wong-Toropainen, Daneshvar Amrollahi +4
Large Language Models (LLMs) achieve strong performance on reasoning tasks, but whether this reflects faithful logical inference or heuristic approximation remains unclear. We stud…
Bridging Legal Interpretation and Formal Logic: Faithfulness, Assumption, and the Future of AI Legal Reasoning
Olivia Peiyu Wang, Leilani H. Gilpin
The growing adoption of large language models in legal practice brings both significant promise and serious risk. Legal professionals stand to benefit from AI that can reason over…
Learning to Draw ASCII Improves Spatial Reasoning in Language Models
Shiyuan Huang, Li Liu, Jincheng He +1
When faced with complex spatial problems, humans naturally sketch layouts to organize their thinking, and the act of drawing further sharpens their understanding. In this work, we…
Touching Space: Accessible Map Exploration Through Conversational Audio-Haptic Interaction
Li Liu, Jiaming Qu, Marc Jowell Bagaoisan +2
Most existing assistive navigation tools focus on providing real-time guidance for Blind and Low-Vision (BLV) people, but few support building a holistic spatial understanding of u…