Distributional Preference Alignment of LLMs via Optimal TransportIgor MelnykYoussef Mrouehet al.2024NeurIPS 2024
Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language ModelsChia-yi HsuYu-Lin Tsaiet al.2024NeurIPS 2024
Reducing Transformer Key-Value Cache Size with Cross-Layer AttentionWilliam BrandonMayank Mishraet al.2024NeurIPS 2024
Combining Domain and Alignment Vectors to Achieve Better Knowledge-Safety Trade-offs in LLMsMegh ThakkarYash Moreet al.2024NeurIPS 2024
Fine-Tuned MLP-Mixers as data-driven Numerical Surrogates?Imran NasimJoao Lucas de Sousa Almeida2024NeurIPS 2024
Unified Lookup Tables: Privacy-Preserving Foundation ModelsNikita JanakarajanIrina Espejo Moraleset al.2024NeurIPS 2024
A Large Encoder-Decoder Polymer-Based Foundation ModelEduardo Almeida SoaresNathaniel Parket al.2024NeurIPS 2024
Multi-View Mixture-of-Experts for Predicting Molecular Properties Using SMILES, SELFIES, and Graph-Based RepresentationsEduardo Almeida SoaresIndra Priyadarsini Set al.2024NeurIPS 2024
MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level GuaranteesRyan ZhangHerbert Woisetschlägeret al.2024NeurIPS 2024
Agnostic Causality-Driven Enhancement of Chemical Foundation Models on Downstream TasksVictor ShirasunaEduardo Almeida Soareset al.2024NeurIPS 2024