Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesVijay EArindam Jatiet al.2024NeurIPS 2024
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMsIrene HuangWei Linet al.2024NeurIPS 2024
Trans-LoRA: towards data-free Transferable Parameter Efficient FinetuningRunqian WangSoumya Ghoshet al.2024NeurIPS 2024
Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language ModelsShengyun PengPin-Yu Chenet al.2024NeurIPS 2024
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for ChemistryMarvin AlbertsOliver Schilteret al.2024NeurIPS 2024
Multivariate Stochastic Dominance via Optimal Transport and Applications to Models BenchmarkingGabriel RiouxApoorva Nitsureet 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
Distributional Preference Alignment of LLMs via Optimal TransportIgor MelnykYoussef Mrouehet al.2024NeurIPS 2024