Publications

170 results for Explainable AI

An Introduction to Geospatial Foundation Model
- - Daiki Kimura
  - Naomi Simumba
  - et al.
- 2024
- JpGU 2024
Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts
- - Brian Bauer
  - Raquel Norel
  - et al.
- 2024
- JMIR Mental Health
RELIC: Investigating Large Language Model Responses using Self-Consistency
- - Furui Cheng
  - Vilém Zouhar
  - et al.
- 2024
- CHI 2024
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
Manifold-Aligned Counterfactual Explanations for Neural Networks
- - Georgia Perakis
  - Wei Sun
  - et al.
- 2024
- AISTATS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
- - Dongxia Wu
  - Ide-San Ide
  - et al.
- 2024
- AISTATS 2024