Evaluation of Large Language Models via Coupled Token Generation

1. 1Develop a causal model for coupled autoregressive generation
2. 2Implement coupled token generation to control for randomization
3. 3Evaluate large language models using the proposed method
4. 4Compare and rank models based on the evaluation results

ML researchers and engineers benefit from this approach as it provides a more accurate evaluation of large language models, allowing them to compare and rank models more effectively

💡 Controlling for randomization is crucial for fair evaluation and ranking of large language models

💡 Evaluate large language models more accurately with coupled token generation