Llama-3.1-8B
Emerging6papers using it
2025first seen
'LLaMA-3.1 8B' is a benchmark dataset used to evaluate the performance of large language models on various tasks, including question answering, bias mitigation, jailbreaking prevention, and reasoning.
Papers using Llama-3.1-8B (5)
- Small LLMs: Pruning vs. Training from ScratchMSLEF: Multi-Segment LLM Ensemble Finetuning in RecruitmentCorrSteer: Generation-Time LLM Steering via Correlated Sparse Autoencoder FeaturesCorrSteer: Steering Improves Task Performance and Safety in LLMs through
Correlation-based Sparse Autoencoder Feature SelectionIteRABRe: Iterative Recovery-Aided Block Reduction