diff --git a/README.md b/README.md
index afd8e43c..233cf0e8 100644
--- a/README.md
+++ b/README.md
@@ -1386,7 +1386,7 @@ For all models you can find the auto-annotations under `results/<model_name>/*/a
 - `preference`: the result of the auto-annotator. This is a float between 1 and 2. Closer to 1 means that the auto-annotator prefers `output_1`, closer to 2 means that it prefers `output_2`. For AlpacaEval 2.0, `preference-1` corresponds to the probability of `output_1` being preferred. For AlpacaEval 1.0, `preference` is 1 if `output_1` is preferred, 2 if `output_2` is preferred, and 1.5 if they are the same. The win rate is always`(preference -1).mean()`.
 - `raw_completion`: the raw output of the auto-annotator. 
 
-**Chain of through**
+**Chain of thought**
 
 For some annotators, e.g. `alpaca_eval_cot_gpt4_turbo_fn` we use **chain of thought reasoning** to make the models preferences more interpretable. Those can then be found under `concise_explanation`. To interpret them, you should also look at `referenced_models` which translates the temporary model name (in the prompt) to the actual output. Below, we provide more explanation as to what is happening behind the scenes.