Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- Swanand Ravindra Kadhe
- Farhan Ahmed
- et al.
- 2024
- ICML 2024
Publications
680 results for Foundation Models
Humans Linguistically Align to their Conversational Partners, and Language Models Should Too
- 2024
- ICML 2024
Needle in the Haystack for Memory Based Large Language Models
- Payel Das
- Soham Dan
- et al.
- 2024
- ICML 2024
Generation constraint scaling can mitigate hallucination
- Georgios Kollias
- Payel Das
- et al.
- 2024
- ICML 2024
Scaling Granite Code Models to 128K Context
- Matthew Stallone
- Vaibhav Saxena
- et al.
- 2024
- arXiv
Exploring Vulnerabilities in LLMs: A Red Teaming Approach to Evaluate Social Bias
- Yuya Jeremy Ong
- Jay Pankaj Gala
- et al.
- 2024
- IEEE CISOSE 2024
Quantifying Representation Reliability in Self-Supervised Learning Models
- Young Jin Park
- Hao Wang
- et al.
- 2024
- UAI 2024
Contextualizing Single-Cell Analyses: An AI Pipeline for Evidence Search from Literature and Gene Databases
- 2024
- ISMB 2024
Cross Dataset Verification of Cell Type Annotation using a Transcriptomic Biomedical Foundation Model: Inflammatory Bowel Disease Use Case
- 2024
- ISMB 2024
Effect of dataset partitioning strategies for evaluating out-of-distribution generalisation for predictive models in biochemistry
- 2024
- ISMB 2024