DARE to Diversify: DAta Driven and Diverse LLM REd Teaming
- Manish Nagireddy
- Bernat Guillen Pegueroles
- et al.
- 2024
- KDD 2024
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683 results for Trustworthy AI
Machine Unlearning in Computer Vision: Foundations and Applications
- Sijia Liu
- Yang Liu
- et al.
- 2024
- CVPR 2024
Documenting AI’s Environmental Impact
- Bran Knowles
- David Piorkowski
- et al.
- 2024
- FAccT 2024
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
- Leshem Choshen
- Ariel Gera
- et al.
- 2024
- LREC-COLING 2024
Using Large Language Models to Understand Suicidality in a Social Media–Based Taxonomy of Mental Health Disorders: Linguistic Analysis of Reddit Posts
- Brian W. Bauer
- Kely Norel
- et al.
- 2024
- JMIR Mental Health
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations
- Upol Ehsan
- Samir Passi
- et al.
- 2024
- CHI 2024
Adaptive Conformal Regression with Split-Jackknife+ Scores
- Nicolas Deutschmann
- Mattia Rigotti
- et al.
- 2024
- TMLR
Forecasting adversarial actions using judgment decomposition-recomposition
- Yolanda Gomez
- Jesus Rios Aliaga
- et al.
- 2024
- International Journal of Forecasting
Models that learn the language of molecules and how to use them to predict their properties
- 2024
- SECUAH 2024
Training Large Language Encoders with the Curated Carolina Corpus
- Guilherme Lamartine Mello
- Paulo Rodrigo Cavalin
- et al.
- 2024
- PROPOR 2024