Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
Publications
166 results for Explainable AI
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
- 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
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
From Pixels to Diagnosis: Algorithmic Analysis of Clinical Oral Photos for Early Detection of Oral Squamous Cell Carcinoma
- Simona Rabinovici-Cohen
- Naomi Fridman
- et al.
- 2024
- Cancers