Summary of Quantifying In-context Reasoning Effects and Memorization Effects in Llms, by Siyu Lou et al.
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs
by Siyu Lou, Yuntian Chen, Xiaodan Liang, Liang Lin, Quanshi Zhang
First submitted to arxiv on: 20 May 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)
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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 The paper proposes an axiomatic system to quantify the precise memorization and in-context reasoning effects used by large language models (LLMs) for language generation. The system categorizes memorization effects into foundational and chaotic, while in-context reasoning effects are classified as enhanced, eliminated, or reversed inference patterns. The decomposed effects satisfy sparsity and universal matching properties, ensuring that the LLM’s confidence score can be accurately broken down into memorization and reasoning components. Experimental results demonstrate the effectiveness of this approach in examining detailed inference patterns encoded by LLMs. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This study develops a new way to understand how large language models (LLMs) work when generating text. The researchers created a framework that breaks down what these models do into two main categories: memorization and reasoning. Memorization refers to the model’s ability to recall specific words or phrases, while reasoning involves using context to make smart guesses. By analyzing these effects, the team found that LLMs use different strategies depending on the situation. This discovery could lead to better understanding of how language models work and improve their performance in tasks like writing and translation. |
Keywords
» Artificial intelligence » Inference » Recall » Translation
