description

app.py

@@ -169,6 +169,16 @@ def single_edit_tab():
     button4locgen.click(fn=generate, inputs=loc_input, outputs=[button4gen_loc_ori, button4gen_loc_edit])
 
 def continuous_edit_tab():
+    with gr.Accordion("Overview", open=True):
+        gr.Markdown(
+            """
+            - [Continuous Knowledge Editing](https://arxiv.org/abs/2405.14768) is defined as multiple edits on the same model. We provide all the editing examples (10 in total) in the 'Evaluation Examples' section.
+
+            >- **Note 1**: ❗️❗️❗️ In the cold start phase, we have already continuously edited the first 6 examples, so you can proceed directly to the evaluation tests.
+
+            >- **Note 2**: The models edited by WISE and GRACE are the **same but independent** of each other. You need to switch the `Edit Algorithm` at the top for editing/evaluation.
+            """
+        )
     with gr.Row():
         # edit_alg = gr.Dropdown(
         #     choices=['WISE', 'GRACE'],
@@ -345,29 +355,14 @@ with gr.Blocks(css=css,theme=gr.themes.Soft(text_size="sm")) as demo:
     with gr.Accordion("Explanation", open=False):
         gr.Markdown(
             """
-            Edit Steps: the number of times a layer is trained in the editing method.
-            """
-        )
-        gr.Markdown(
-            """
-            Edit LR (learning rate): the optimization strategy during fine-tuning.
+            - `Edit Algorithm`: editing method. Choices: [[WISE](https://arxiv.org/abs/2405.14768), [GRACE](https://arxiv.org/abs/2211.11031), [ROME](https://arxiv.org/abs/2202.05262)]
+            - `Edit Steps`: the number of times a layer is trained in the editing method.
+            - `Edit LR (learning rate)`: the optimization strategy during fine-tuning.
+            - `Reliability Evaluation`: the assessment of whether the target edit can be accomplished.
+            - `Generalization Evaluation`: whether generalize to the unseen paraphrase prompt.
+            - `Locality Evaluation`: the assessment of whether unrelated content has been affected.
             """
         )
-        gr.Markdown(
-            """
-            Reliability Evaluation: the optimization strategy during fine-tuning.
-            """
-        )       
-        gr.Markdown(
-            """
-            Reliability Evaluation: the assessment of whether the target edit can be accomplished.
-            """
-        )          
-        gr.Markdown(
-            """
-            Locality Evaluation: the assessment of whether unrelated content has been affected..
-            """
-        )   
 
     with gr.Tab("Single Knowledge Editing"):
         single_edit_tab()