更新markdown示例：添加RUG Rust单元测试生成演示内容

- 修改主题为黑色样式以提高可读性
- 更新markdown.md为RUG论文演示内容
- 添加相关图片资源到images目录
- 调整演示尺寸为1920x1080以适应现代显示器
- 移除原有的示例幻灯片，专注于学术演示内容

examples/markdown.md

@@ -1,41 +1,133 @@
-# Markdown Demo
+# RUG: Turbo LLM for Rust Unit Test Generation
+
+Keywords: LLM, Rust, Unit Test
+
+Research date: 2022, published date: 2025
 
 
 
-## External 1.1
+#### Introduction
 
-Content 1.1
+*   Unit testing is crucial but costly.
 
-Note: This will only appear in the speaker notes window.
+*   Rust's strict type system.
+
+*   Existing LLM approaches often fail.
 
 
-## External 1.2
+#### Rust Unit Test
 
-Content 1.2
+```rust
+/// Returns the sum of two numbers
+///
+/// # Examples
+///
+/// ```
+/// assert_eq!(add(2, 3), 5);
+/// assert_eq!(add(-1, 1), 0);
+/// ```
+fn add(a: i32, b: i32) -> i32 {
+    a + b
+}
+```
+
+
+#### Challenge
+
+```rust
+fn encode<E: Encoder>(&self: char, encoder: E) -> Result<EncodeError> // target function
+
+impl<W: Writer, C: Config> Encoder for EncoderImpl
+
+pub struct EncoderImpl<W: Writer, C: Config>
+impl Writer for SliceWriter
+impl Writer for IoWriter
+
+impl<T> Config for T where T: R1 + R2 + R3
+pub struct Configuration<R1, R2, R3>
+```
+
+Simplified python version
+
+```python
+def encode(char_data, encoder):
+    result = encoder.process(char_data)
+    return result
+
+class Encoder:
+    def __init__(self, writer, config):
+        self.config = config
+    
+    def process(self, data):
+        output = self.writer.write(data, self.config)
+        return output
+
+class Config:
+    def __init__(self):
+        self.settings = {}
+
+config = Config()
+encoder = Encoder(stdout, config)
+
+# Test code
+result = encode('A', encoder)
+```
+
+LLM generated code are hard to pass the compiler.
 
 
 
-## External 2
+#### RUG design
 
-Content 2.1
+<img src="./images/Screenshot_20251125_010053.jpeg"
+  width="75%">
 
 
 
-## External 3.1
+<img src="./images/Screenshot_20251125_011029.jpeg" width="80%">
 
-Content 3.1
+<img src="./images/Screenshot_20251125_011348.jpeg" width="80%">
 
 
-## External 3.2
 
-Content 3.2
+#### Implementation
+
+- gpt-3.5-turbo-16k-0613
+- gpt-4-1106
+- presence penalty set to -1
+- frequency_penalty set to 0.5
+- temperature set to 1 (by default)
 
 
-## External 3.3 (Image)
 
-![External Image](https://static.slid.es/logo/v2/slides-symbol-512x512.png)
+#### Eval: Comparison with Traditional Tools
+
+<img src="./images/Screenshot_20251125_014355.jpeg" width="75%">
 
 
-## External 3.4 (Math)
+#### Token Consumption
 
-`\[ J(\theta_0,\theta_1) = \sum_{i=0} \]`
+- GPT-4 cost 1000$ in baseline method (send the whole context)
+- RUG saved 51.3% tokens (process unique dependency only once)
+
+
+
+#### Real-World Usability
+
+> We directly leverage RUG's generated tests, without changing test bodies and send them as PRs to the open source projects.
+> To our surprise, the developers are happy to merge these machine generated tests.
+> RUG generated a total of 248 unit tests, of which we submitted 113 to the corresponding crates based on their quality and priority.
+> So far, 53 of these unit tests have been merged with positive feedback.
+
+> Developers chose not to merge 17 tests for two main reasons:
+> first, the target functions are imported from external libraries(16),
+> and the developers do not intend to include tests
+
+
+
+#### 2025 Situation
+
+<img src="./images/Screenshot_20251125_015416.jpeg" width="60%">
+
+
+<img src="./images/Screenshot_20251125_015705.jpeg" width="60%">