Update tot.en.mdx

pages/techniques/tot.en.mdx

@@ -6,7 +6,7 @@ import TOT from '../../img/TOT.png'
 import TOT2 from '../../img/TOT2.png'
 import TOT3 from '../../img/TOT3.png'
 
-For complex tasks that require exploration or strategic lookahead, traditional or simple prompting techniques fall short. [Yao et el. (2023)](https://arxiv.org/abs/2305.10601) recently proposed Tree of Thoughts (ToT), a framework that generalizes over chain-of-thought prompting and encourages exploration over thoughts that serve as intermediate steps for general problem solving with language models.
+For complex tasks that require exploration or strategic lookahead, traditional or simple prompting techniques fall short. [Yao et el. (2023)](https://arxiv.org/abs/2305.10601) and [Long (2023)](https://arxiv.org/abs/2305.08291) recently proposed Tree of Thoughts (ToT), a framework that generalizes over chain-of-thought prompting and encourages exploration over thoughts that serve as intermediate steps for general problem solving with language models.
 
 ToT maintains a tree of thoughts, where thoughts represent coherent language sequences that serve as intermediate steps toward solving a problem. This approach enables an LM to self-evaluate the progress intermediate thoughts make towards solving a problem through a deliberate reasoning process. The LM ability to generate and evaluate thoughts is then combined with search algorithms (e.g., breadth-first search and depth-first search) to enable systematic exploration of thoughts with lookahead and backtracking.
 
@@ -27,4 +27,4 @@ From the results reported in the figure below, ToT substantially outperforms the
 <Screenshot src={TOT3} alt="TOT3" />
 Image Source: [Yao et el. (2023)](https://arxiv.org/abs/2305.10601) 
 
-Code available [here](https://github.com/princeton-nlp/tree-of-thought-llm)
+Code available [here](https://github.com/princeton-nlp/tree-of-thought-llm) and [here](https://github.com/jieyilong/tree-of-thought-puzzle-solver)