Summary of Unlocking the Potential Of Model Merging For Low-resource Languages, by Mingxu Tao et al.
Unlocking the Potential of Model Merging for Low-Resource Languagesby Mingxu Tao, Chen Zhang, Quzhe Huang,…
Unlocking the Potential of Model Merging for Low-Resource Languagesby Mingxu Tao, Chen Zhang, Quzhe Huang,…
Advances in Diffusion Models for Image Data Augmentation: A Review of Methods, Models, Evaluation Metrics…
Unified Anomaly Detection methods on Edge Device using Knowledge Distillation and Quantizationby Sushovan Jena, Arya…
Large Language Models as Evaluators for Scientific Synthesisby Julia Evans, Jennifer D'Souza, Sören AuerFirst submitted…
Are Large Language Models Consistent over Value-laden Questions?by Jared Moore, Tanvi Deshpande, Diyi YangFirst submitted…
SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Researchby Meghal Dani, Muthu Jeyanthi…
Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0by Marianne…
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to…
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesisby…
What Affects the Stability of Tool Learning? An Empirical Study on the Robustness of Tool…