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 - Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies [[Paper]](https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00370/100680/Did-Aristotle-Use-a-Laptop-A-Question-Answering)
 - Chain-of-Thought Prompting Elicits Reasoning in Large Language Models [[Paper]](https://openreview.net/forum?id=_VjQlMeSB_J)
 - Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them [[Paper]](https://arxiv.org/abs/2210.09261)
-##### Coding
 - Program Synthesis with Large Language Models [[Paper]](https://arxiv.org/abs/2108.07732)
 - DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation [[Paper]](https://arxiv.org/abs/2211.11501)
 - Evaluating Large Language Models Trained on Code [[Paper]](https://arxiv.org/abs/2107.03374)
 - Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation [[Paper]](https://arxiv.org/abs/2305.01210)
+  
 ##### Safety
 - Safety Assessment of Chinese Large Language Models [[Paper]](https://arxiv.org/abs/2304.10436)
 - CValues: Measuring the Values of Chinese Large Language Models from Safety to Responsibility [[Paper]](https://arxiv.org/abs/2307.09705)