AutoPeptideML: a study on how to build more trustworthy peptide bioactivity predictors
- Raul Fernandez-Dıaz
- Rodrigo Cossio-Perez
- et al.
- 2024
- Bioinformatics
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758 results for Trustworthy AI
Towards a Benchmark for Causal Business Process Reasoning with LLMs
- 2024
- BPM 2024
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
- Michal Muszynski
- Levente Klein
- et al.
- 2024
- KDD 2024
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
- Junyuan Hong
- Carl Yang
- et al.
- 2024
- KDD 2024
DARE to Diversify: DAta Driven and Diverse LLM REd Teaming
- Manish Nagireddy
- Bernat Guillen Pegueroles
- et al.
- 2024
- KDD 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ACS Fall 2024
A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques
- Megh Thakkar
- Quentin Fournier
- et al.
- 2024
- ACL 2024
Why Don't Prompt-Based Fairness Metrics Correlate?
- Abdelrahman Zayed
- Gonçalo Mordido
- et al.
- 2024
- ACL 2024
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
- Afra Feyza Akyürek
- Ekin Akyürek
- et al.
- 2024
- ACL 2024
A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
- Eunjeong Hwang
- Vered Shwartz
- et al.
- 2024
- ACL 2024