Update README.md

README.md

@@ -19,21 +19,21 @@ BERT-as-a-Judge is a family of encoder-based models designed for efficient, refe
 
 ## Naming Convention Breakdown
 
-The models are named using the convention: `BERTJudge-<Output_Guidelines>-<Input_Format>-<Additional_Info>`.
+Models follow a standardized naming structure: `BERTJudge-<Output_Guidelines>-<Input_Format>-<Additional_Info>`.
 
 * **Output Guidelines:**
-  * `Free`: Trained on unconstrained model outputs.
-  * `Formatted`: Trained on outputs constrained by specific instructions (e.g., "Conclude with Answer: [X]").
+  * `Free`: Trained on unconstrained model generations.
+  * `Formatted`: Trained on outputs that adhere to specific structural constraints. For optimized evaluation under the formatted setup, candidate outputs should ideally conclude with `Final answer: <final_answer>` (see the paper for details).
 * **Input Format:**
-  * `QCR`: Input contains [Question, Candidate, Reference].
-  * `CR`: Input contains only [Candidate, Reference].
+  * `QCR`: The input sequence consists of [Question, Candidate, Reference].
+  * `CR`: The input sequence consists only of [Candidate, Reference].
 * **Additional Info:**
-  * `OOD`: Evaluates Out-of-Distribution performance (certain generative models excluded from training).
-  * `100k/200k/500k`: Number of training steps (default is 1 Million).
+  * `OOD`: Indicates evaluation of Out-of-Distribution performance (where specific generative models were withheld during training).
+  * `100k/200k/500k`: Denotes the total training steps (the standard default is 1 million).
 
 ## Intended Use
 
-These models are typically used as sequence classifiers that output a score (0 for incorrect, 1 for correct).
+These models function as sequence classifiers that generate a binary score (0 for incorrect, 1 for correct). For general applications, we recommend **BERTJudge-Free-QCR**, as it provides the most robust and highest-performing evaluation.
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification