activity
20182026
most citedExplaining Explanations: An Overview of Interpretability of Machine Learning

32 citations · 64 across the 12 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.HC2026

"I didn't know how to read a map, but now I can": TouchingSpace, an Audio-Haptic Map for Blind and Low-Vision Readers

Li Liu, Yihe Wang, Jiaming Qu +3

Accessible map systems either make a layout explorable by hand or convey information through speech; few combine both to support pre-travel spatial understanding for blind and low-…

cs.HC2026

From Anonymous Shapes to Named Places: A Tool for Braille and Place-Semantic Annotation of Tactile Maps

Li Liu, Ashmita Dua, Jiaming Qu +2

On a 3D-printed tactile map, a building felt under the finger is an anonymous shape: touch alone cannot tell which footprint is which, and a spoken description cannot reliably poin…

cs.AI2026

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…

cs.AI2026

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…

cs.AI2026

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…

cs.HC2026

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…