diff --git a/applications/ColossalChat/coati/distributed/consumer.py b/applications/ColossalChat/coati/distributed/consumer.py
index a3a0948bf..31bd73e88 100644
--- a/applications/ColossalChat/coati/distributed/consumer.py
+++ b/applications/ColossalChat/coati/distributed/consumer.py
@@ -127,7 +127,7 @@ class BaseConsumer:
                                 eval_statistics = {
                                     k: eval_statistics[k] + local_eval_result[k] for k in eval_statistics
                                 }
-                        eval_statistics = {"eval/" + k: (v[0] / v[1]).item() for k, v in eval_statistics.items()}
+                        eval_statistics = {k: (v[0] / v[1]).item() for k, v in eval_statistics.items()}
                         if dist.get_rank() == 0:
                             if hasattr(self, "wandb_run"):
                                 self.wandb_run.log(eval_statistics, step=eval_global_step)
diff --git a/applications/ColossalChat/coati/distributed/reward/reward_fn.py b/applications/ColossalChat/coati/distributed/reward/reward_fn.py
index 467a9b414..6844d700a 100644
--- a/applications/ColossalChat/coati/distributed/reward/reward_fn.py
+++ b/applications/ColossalChat/coati/distributed/reward/reward_fn.py
@@ -1,70 +1,8 @@
 import torch
-from latex2sympy2_extended import NormalizationConfig
-from math_verify import ExprExtractionConfig, LatexExtractionConfig, parse, verify
+from math_verify import parse, verify
 
 from .reward_utils import extract_boxed_solution, extract_solution, validate_response_structure
 
-CANNOT_PARSE_GT_ANSWER = -1
-CANNOT_PARSE_PREDICTION = -2
-SUCCESS = 1
-MATCHING_FAIL = 0
-
-
-def verify_math_representation(completion, gt_answer):
-    """
-    Verify if the completion is a valid math representation of the gt_answer.
-    """
-    target = (
-        ExprExtractionConfig(),
-        LatexExtractionConfig(
-            normalization_config=NormalizationConfig(
-                nits=False,
-                malformed_operators=False,
-                basic_latex=True,
-                boxed="all",
-                units=True,
-            ),
-            boxed_match_priority=0,
-        ),
-    )
-    if not isinstance(gt_answer, str) or len(gt_answer) == 0:
-        raise ValueError("gt_answer should be a string, please verify your training data.")
-    if not isinstance(completion, str) or len(completion) == 0:
-        return MATCHING_FAIL
-    try:
-        parsed_gt_answer = parse(gt_answer, extraction_config=target)
-        if len(parsed_gt_answer) == 0:
-            return CANNOT_PARSE_GT_ANSWER
-        parsed_completion = parse(completion, extraction_config=target)
-        if len(parsed_completion) == 0:
-            return CANNOT_PARSE_PREDICTION
-        if verify(parsed_gt_answer, parsed_completion):
-            return SUCCESS
-        else:
-            return MATCHING_FAIL
-    except Exception:
-        return MATCHING_FAIL
-
-
-def verify_model_answer(decoded_final_answer, gt_answer, ans_acc, acc_score, reward):
-    math_verify_result = verify_math_representation(decoded_final_answer, gt_answer)
-    if math_verify_result == SUCCESS:
-        ans_acc += 1
-        reward += acc_score
-    elif math_verify_result == CANNOT_PARSE_GT_ANSWER or math_verify_result == CANNOT_PARSE_PREDICTION:
-        if decoded_final_answer.strip().replace(" ", "").replace("{", "").replace("}", "").replace(
-            ",", ""
-        ) == gt_answer.strip().replace(" ", "").replace("{", "").replace("}", "").replace(",", ""):
-            ans_acc += 1
-            if math_verify_result == CANNOT_PARSE_GT_ANSWER:
-                # plain text answer cannot be parsed, but is correct
-                reward += acc_score
-            else:
-                reward += (
-                    acc_score / 2
-                )  # not a valid latex math representation, but the answer is correct, receive half of the score
-    return reward, ans_acc
-
 
 def math_reward_fn(input_ids, gt_answer, response_idx, **kwargs):
     tokenizer = kwargs["tokenizer"]
@@ -98,8 +36,9 @@ def math_reward_fn(input_ids, gt_answer, response_idx, **kwargs):
         format_acc += 1
 
     # Check answer accuracy, answer is considered correct if the answer is correct and the format is valid
-    if format_valid and final_answer is not None:
-        reward, ans_acc = verify_model_answer(decoded_final_answer, gt_answer, ans_acc, acc_score, reward)
+    if format_valid and final_answer is not None and verify(parse(gt_answer.strip()), parse(final_answer.strip())):
+        ans_acc += 1
+        reward += acc_score
 
     reward = reward + length_reward
 
@@ -149,8 +88,9 @@ def boxed_math_reward_fn(input_ids, gt_answer, response_idx, **kwargs):
         reward += format_score
 
     # Check answer accuracy, answer is considered correct if the answer is correct and the format is valid
-    if format_valid and final_answer is not None:
-        reward, ans_acc = verify_model_answer(decoded_final_answer, gt_answer, ans_acc, acc_score, reward)
+    if format_valid and final_answer is not None and verify(parse(gt_answer.strip()), parse(final_answer.strip())):
+        ans_acc += 1
+        reward += acc_score
 
     reward = reward + length_reward
     if not eval_mode: