Summary of Nemo-aligner: Scalable Toolkit For Efficient Model Alignment, by Gerald Shen et al.
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignmentby Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng,…
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignmentby Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng,…
The Role of Model Architecture and Scale in Predicting Molecular Properties: Insights from Fine-Tuning RoBERTa,…
Investigating Automatic Scoring and Feedback using Large Language Modelsby Gloria Ashiya Katuka, Alexander Gain, Yen-Yun…
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuningby Yexiao He, Ziyao Wang, Zheyu Shen, Guoheng…
Homonym Sense Disambiguation in the Georgian Languageby Davit Melikidze, Alexander GamkrelidzeFirst submitted to arxiv on:…
Adapting Open-Source Large Language Models for Cost-Effective, Expert-Level Clinical Note Generation with On-Policy Reinforcement Learningby…
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Reportby Justin Zhao, Timothy Wang,…
Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Predictionby Jared D. Willard, Peter Harrington,…
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decompositionby Yuxuan Yan, Qianqian Yang,…
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignmentby Tengjun HuangFirst submitted to arxiv…