[Info][main] Corrected the errors in the information (#4055)

### What this PR does / why we need it?
Corrected the errors in the information

### Does this PR introduce _any_ user-facing change?
no

### How was this patch tested?
ut

- vLLM version: v0.11.0
- vLLM main:
83f478bb19

Signed-off-by: lilinsiman <lilinsiman@gmail.com>

docs/source/user_guide/release_notes.md

@@ -39,7 +39,7 @@ This is the 1st release candidate of v0.10.2 for vLLM Ascend. Please follow the
 - MTP now works with the token > 1. [#2708](https://github.com/vllm-project/vllm-ascend/pull/2708)
 - Qwen2.5 VL now works with quantization. [#2778](https://github.com/vllm-project/vllm-ascend/pull/2778)
 - Improved the performance with async scheduler enabled. [#2783](https://github.com/vllm-project/vllm-ascend/pull/2783)
-- Fixed the performance regression with non MLA model when use default scheduler. [#2894](https://github.com/vllm-project/vllm-ascend/pull/2894)
+- Fixed the performance regression with non MLA model when using default scheduler. [#2894](https://github.com/vllm-project/vllm-ascend/pull/2894)
 
 ### Others
 - The performance of W8A8 quantization is improved. [#2275](https://github.com/vllm-project/vllm-ascend/pull/2275)
@@ -106,7 +106,7 @@ This is the 1st release candidate of v0.10.1 for vLLM Ascend. Please follow the
     * Environment variable `VLLM_LLMDD_RPC_PORT` is renamed to `VLLM_ASCEND_LLMDD_RPC_PORT` now. [#2450](https://github.com/vllm-project/vllm-ascend/pull/2450)
     * Added `VLLM_ASCEND_ENABLE_MLP_OPTIMIZE` in environment variables, whether to enable mlp optimize when tensor parallel is enabled. This feature provides better performance in eager mode. [#2120](https://github.com/vllm-project/vllm-ascend/pull/2120)
     * Removed `MOE_ALL2ALL_BUFFER` and `VLLM_ASCEND_ENABLE_MOE_ALL2ALL_SEQ` in environment variables. [#2612](https://github.com/vllm-project/vllm-ascend/pull/2612)
-    * Added `enable_prefetch` in `additional_config`, whether to enable weight prefetch. [#2465](https://github.com/vllm-project/vllm-ascend/pull/2465)
+    * Added `enable_prefetch` in `additional_config`, Whether to enable weight prefetch. [#2465](https://github.com/vllm-project/vllm-ascend/pull/2465)
     * Added `mode` in `additional_config.torchair_graph_config`, When using reduce-overhead mode for torchair, mode needs to be set. [#2461](https://github.com/vllm-project/vllm-ascend/pull/2461)
     * `enable_shared_expert_dp` in `additional_config` is disabled by default now, and it is recommended to be enabled when inferencing with deepseek. [#2457](https://github.com/vllm-project/vllm-ascend/pull/2457)
 
@@ -461,7 +461,7 @@ This is the 1st release candidate of v0.9.0 for vllm-ascend. Please follow the [
 ### Highlights
 
 - DeepSeek works with graph mode now. Follow the [official doc](https://vllm-ascend.readthedocs.io/en/latest/user_guide/feature_guide/graph_mode.html) to take a try. [#789](https://github.com/vllm-project/vllm-ascend/pull/789)
-- Qwen series models works with graph mode now. It works by default with V1 Engine. Please note that in this release, only Qwen series models are well tested with graph mode. We'll make it stable and generalize in the next release. If you hit any issues, please feel free to open an issue on GitHub and fallback to eager mode temporarily by set `enforce_eager=True` when initializing the model.
+- Qwen series models work with graph mode now. It works by default with V1 Engine. Please note that in this release, only Qwen series models are well tested with graph mode. We'll make it stable and generalize in the next release. If you hit any issues, please feel free to open an issue on GitHub and fallback to eager mode temporarily by set `enforce_eager=True` when initializing the model.
 
 ### Core
 
@@ -590,13 +590,13 @@ This is the first release candidate of v0.8.4 for vllm-ascend. Please follow the
 
 - vLLM V1 engine experimental support is included in this version. You can visit [official guide](https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html) to get more detail. By default, vLLM will fallback to V0 if V1 doesn't work, please set `VLLM_USE_V1=1` environment if you want to use V1 forcibly.
 - LoRA、Multi-LoRA And Dynamic Serving is supported now. The performance will be improved in the next release. Please follow the [official doc](https://docs.vllm.ai/en/latest/features/lora.html) for more usage information. Thanks for the contribution from China Merchants Bank. [#521](https://github.com/vllm-project/vllm-ascend/pull/521).
-- Sleep Mode feature is supported. Currently it's only work on V0 engine. V1 engine support will come soon. [#513](https://github.com/vllm-project/vllm-ascend/pull/513)
+- Sleep Mode feature is supported. Currently it only works on V0 engine. V1 engine support will come soon. [#513](https://github.com/vllm-project/vllm-ascend/pull/513)
 
 ### Core
 
 - The Ascend scheduler is added for V1 engine. This scheduler is more affinity with Ascend hardware. More scheduler policy will be added in the future. [#543](https://github.com/vllm-project/vllm-ascend/pull/543)
 - Disaggregated Prefill feature is supported. Currently only 1P1D works. NPND is under design by vllm team. vllm-ascend will support it once it's ready from vLLM. Follow the [official guide](https://docs.vllm.ai/en/latest/features/disagg_prefill.html) to use. [#432](https://github.com/vllm-project/vllm-ascend/pull/432)
-- Spec decode feature works now. Currently it's only work on V0 engine. V1 engine support will come soon. [#500](https://github.com/vllm-project/vllm-ascend/pull/500)
+- Spec decode feature works now. Currently it only works on V0 engine. V1 engine support will come soon. [#500](https://github.com/vllm-project/vllm-ascend/pull/500)
 - Structured output feature works now on V1 Engine. Currently it only supports xgrammar backend while using guidance backend may get some errors. [#555](https://github.com/vllm-project/vllm-ascend/pull/555)
 
 ### Others