diff --git a/README.md b/README.md
index 76aaa9d37..aff7699c1 100644
--- a/README.md
+++ b/README.md
@@ -393,7 +393,7 @@ You can implement your prompt flow in a function decorated by `sgl.function`.
 You can then invoke the function with `run` or `run_batch`.
 The system will manage the state, chat template, parallelism and batching for you.
 
-The complete code for the examples below can be found at [readme_examples.py](examples/usage/readme_examples.py)
+The complete code for the examples below can be found at [readme_examples.py](examples/frontend_language/usage/readme_examples.py)
 
 #### Control Flow
 You can use any Python code within the function body, including control flow, nested function calls, and external libraries.
@@ -442,7 +442,7 @@ def image_qa(s, image_file, question):
     s += sgl.assistant(sgl.gen("answer", max_tokens=256)
 ```
 
-See also [srt_example_llava.py](examples/quick_start/srt_example_llava.py).
+See also [srt_example_llava.py](examples/frontend_language/quick_start/local_example_llava_next.py).
 
 #### Constrained Decoding
 Use `regex` to specify a regular expression as a decoding constraint.
@@ -486,7 +486,7 @@ def character_gen(s, name):
     s += sgl.gen("json_output", max_tokens=256, regex=character_regex)
 ```
 
-See also [json_decode.py](examples/usage/json_decode.py) for an additional example of specifying formats with Pydantic models.
+See also [json_decode.py](examples/frontend_language/usage/json_decode.py) for an additional example of specifying formats with Pydantic models.
 
 #### Batching
 Use `run_batch` to run a batch of requests with continuous batching.