Summary of The Good, the Bad, and the Greedy: Evaluation Of Llms Should Not Ignore Non-determinism, by Yifan Song et al.
The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
by Yifan Song, Guoyin Wang, Sujian Li, Bill Yuchen Lin
First submitted to arxiv on: 15 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This study sheds light on the performance variability of large language models (LLMs) by exploring non-determinism, a crucial aspect often overlooked in current evaluations. The researchers investigate the differences between greedy decoding and sampling methods, benchmark consistency regarding non-determinism, and unique model behaviors. Through extensive experiments, they find that greedy decoding generally outperforms sampling methods for most tasks, while alignment can reduce sampling variance. Additionally, their best-of-N sampling approach reveals that smaller LLMs can match or surpass larger models like GPT-4-Turbo, highlighting the untapped potential of smaller LLMs. This research emphasizes the importance of considering non-determinism in LLM evaluations and provides insights for future LLM development. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large language models are powerful tools that can process and generate human-like text. But did you know that these models don’t always give the same answer to a question? Sometimes, they might give different answers even when asked the same thing! This study looks at why this happens and how it affects what we can do with these models. They find that some ways of using these models are better than others, and that smaller models can be just as good as bigger ones in some cases. This is important because it means we can use different models for different tasks, which could make our lives easier. |
Keywords
» Artificial intelligence » Alignment » Gpt
