Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsYoung-Suk LeeArafat Sultanet al.2023EMNLP 2023
Locally Differentially Private Document Generation Using Zero Shot PromptingSaiteja UtpalaSara Hookeret al.2023EMNLP 2023
Towards large language model-based personal agents in the enterprise: Current trends and open problemsVinod MuthusamyYara Rizket al.2023EMNLP 2023
Predicting Question-Answering Performance of Large Language Models through Semantic ConsistencyElla RabinovichSamuel Ackermanet al.2023EMNLP 2023
Unveiling Safety Vulnerabilities of Large Language ModelsGeorge KourMarcel Zalmanoviciet al.2023EMNLP 2023
Parameter Efficient Finetuning for Reducing Activation Density in TransformersBharat RunwalTejaswini Pedapatiet al.2023NeurIPS 2023
AutoPeptideML: An Automated Machine Learning Method for Building Peptide Bioactivity Predictors Leveraging Protein Language ModelsRaúl Fernández DíazRodrigo Cossio-pérezet al.2023ICBG 2023
Pre-Treatment Methods for Machine Learning in Finer UV Spectrum InferenceHajime ShinoharaIndra Priyadarsini Set al.2023MRS Fall Meeting 2023
Scaling Foundation Models: Paving the Future Path for Enterprise AIKaoutar El Maghraoui2023IEEE ADACIS 2023