Publications

157 results for Explainable AI

The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
- - Upol Ehsan
  - Samir Passi
  - et al.
- 2024
- CHI 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- - Hyo Jin Do
  - Rachel Ostrand
  - et al.
- 2024
- CHI 2024
CUI@CHI 2024: Building Trust in CUIs-From Design to Deployment
- - Smit Desai
  - Christina Wei
  - et al.
- 2024
- CHI 2024
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Empowering Sustainable Finance: Leveraging Large Language Models for Climate-Aware Investments
- - Ayush Jain
  - Manikandan Padmanaban
  - et al.
- 2024
- ICLR 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- - Dongxia Wu
  - Ide-San Ide
  - et al.
- 2024
- AISTATS 2024
Manifold-Aligned Counterfactual Explanations for Neural Networks
- - Georgia Perakis
  - Wei Sun
  - et al.
- 2024
- AISTATS 2024
Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning
- - Turgay Caglar
  - Sirine Belhaj
  - et al.
- 2024
- AAAI 2024
Satellite Image Analysis by Pre-training Network
- - Daiki Kimura
  - Tatsuya Ishikawa
  - et al.
- 2024
- IPSJ 2024
A Physics Inspired Approach to the Understanding of Molecular Representations and Models
- - Luke Dicks
  - David Graff
  - et al.
- 2024
- MSDE