update explanations on MM-UPD Bench

constants.py

@@ -37,24 +37,27 @@ LEADERBORAD_INTRODUCTION = """
 
 ## About MM-UPD Bench
 ### What is MM-UPD Bench?
-MM-UPD Bench is a comprehensive benchmark for evaluating the trustworthiness of Vision Language Models (VLMs) in the context of Unsolvable Problem Detection (UPD).   
+MM-UPD Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Vision Language Models (VLMs) in the Context of Unsolvable Problem Detection (UPD)
+
 Our MM-UPD Bench encompasses three benchmarks: MM-AAD, MM-IASD, and MM-IVQD.
-- **MM-AAD:** Benchmark for Absent Answer Detection (AAD). MM-AAD Bench is a dataset where the correct answer
-option for each question is removed. MM-AAD tests the model's capability
-to recognize when the correct answer is absent from the provided choices.
 
-- **MM-IASD:** Benchmark for Incompatible Answer Set Detection (IASD). MM-IASD Bench is a dataset where the answer set
-is completely incompatible with the context specified by the question and the image. 
-MM-IASD tests the model's capability to recognize when the answer set is incompatible with the context.
-- **MM-IVQD:** Benchmark for Incompatible Visual Question Detection (IVQD). MM-IVQD Bench is a dataset where the question is incompatible with the image. 
-MM-IVQD evaluates the VLMs' capability to discern when a question and image are irrelevant or
-inappropriate.
+- **MM-AAD:** Benchmark for Absent Answer Detection (AAD).   
+  MM-AAD Bench is a dataset where the correct answer option for each question is removed.   
+  MM-AAD tests the model's capability to recognize when the correct answer is absent from the provided choices.
+
+- **MM-IASD:** Benchmark for Incompatible Answer Set Detection (IASD).   
+  MM-IASD Bench is a dataset where the answer set is completely incompatible with the context specified by the question and the image.    
+  MM-IASD tests the model's capability to recognize when the answer set is incompatible with the context.
+
+- **MM-IVQD:** Benchmark for Incompatible Visual Question Detection (IVQD).    
+  MM-IVQD Bench is a dataset where the question is incompatible with the image.    
+  MM-IVQD evaluates the VLMs' capability to discern when a question and image are irrelevant or inappropriate.
 
 ### Characteristics of MM-UPD Bench
 We design MM-UPD Bench to provide a comprehensive evaluation of VLMs across multiple senarios.
-- **Multiple Senario Evaluation:** We carefully design prompts choices and examine the three senario: (i) base (no instruction), (ii) option (add an additional option), (iii) instruction (add an instruction).
-- **Ability-Wise Evaluation:** We carefully decompose each benchmark into more than 10 abilities to reveal individual model's strengths and weaknesses.
-- **Valuable Insights:** MM-UPD Bench provides multi-perspective insights on trustworthiness and reliablitity for the community.
+- **Multiple Senario Evaluation:** We carefully design prompts choices and examine the three senario:   
+  (i) Base (w/o instruction), (ii) Option (w/ additional option), (iii) Instruction (w/ additional instruction).
+- **Ability-Wise Evaluation:** We carefully decompose each benchmark into various abilities to reveal individual model's strengths and weaknesses.
 
 
 ## About Evaluation Metrics