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README.md

@@ -34,12 +34,12 @@ We evaluate the model on [LongBench](https://arxiv.org/abs/2308.14508) using 32K
 ## InfiniteBench
 We evaluate the model on [InfiniteBench](https://arxiv.org/pdf/2402.13718.pdf) using 80K context length and the official prompt template. The results of GPT-4 is copied from the [paper](https://arxiv.org/pdf/2402.13718.pdf). For [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct), we use 8K context length.
 
-|Model|LongBookQA Eng|LongBookSum Eng|KV Retrieval|
+|Model|LongBookQA Eng|LongBookSum Eng|
 |:-:|:-:|:-:|:-:|
-|GPT-4|22.22|14.73|**89.00**|
-|[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|7.00|**16.40**|5.60|
-|[gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)|20.30|10.34|6.40|
-|[Llama-3-8B-Instruct-80K-QLoRA]()|**30.92**|14.73|51.20|
+|GPT-4|22.22|14.73|
+|[meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)|7.00|**16.40**|
+|[gradientai/Llama-3-8B-Instruct-262k](https://huggingface.co/NousResearch/Yarn-Mistral-7b-128k)|20.30|10.34|
+|[Llama-3-8B-Instruct-80K-QLoRA]()|**30.92**|14.73|
 
 ## Topic Retrieval
 We evaluate the model on [Topic Retrieval](https://lmsys.org/blog/2023-06-29-longchat/) task with `[5,10,15,20,25,30,40,50,60,70]` topics.