diff --git a/.github/assets/ICAIS_best_paper.png b/.github/assets/ICAIS_best_paper.png
new file mode 100644
index 0000000..7e36ebd
Binary files /dev/null and b/.github/assets/ICAIS_best_paper.png differ
diff --git a/.github/assets/deepresearch_bench_2.JPG b/.github/assets/deepresearch_bench_2.JPG
new file mode 100644
index 0000000..0f7c846
Binary files /dev/null and b/.github/assets/deepresearch_bench_2.JPG differ
diff --git a/README.md b/README.md
index 8700c57..fe52fd8 100644
--- a/README.md
+++ b/README.md
@@ -42,7 +42,7 @@
 It is designed to be opinionated and ready to use out of the box, offering a living research system that grows alongside evolving agent skills, toolsets, and memory bases.
 Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human-on-the-loop paradigm, where AI acts as a research buddy that co-evolves with human researchers and internalizes scholarly taste and scientific judgment.**
 
-<h3>Unified Control, Different Surfaces</h3>
+<h3>⚡ Unified Control, Different Surfaces</h3>
 
 <table>
   <tr>
@@ -78,6 +78,7 @@ Moving beyond traditional human-in-the-loop systems, EvoScientist adopts a human
 - **[13 Mar 2026]** 🚀 [**EvoScientist**](https://github.com/EvoScientist/EvoScientist) officially debuts!
 - **[11 Mar 2026]** ⛳ Technical Report is live! [**Check it out**](https://arxiv.org/abs/2603.08127) 👈
 - **[09 Mar 2026]** 🏆 6/6 accepted at [ICAIS 2025](https://icais.ai/) AI Scientist Track — Best Paper & AI Reviewer's Appraisal Award! [**Details**](https://airaxiv.com/papers/?q=zacharyzhang2022%40gmail.com) 👈
+- **[06 Mar 2026]** 🥇 Ranked #1 on [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) at submission time! [**Leaderboard**](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 👈
 
 ## 📖 Table of Contents
 
diff --git a/README.zh-CN.md b/README.zh-CN.md
index 9297322..eb8e622 100644
--- a/README.zh-CN.md
+++ b/README.zh-CN.md
@@ -49,7 +49,7 @@
 它以开箱即用为设计理念，提供一个伴随智能体技能、工具集和记忆库共同成长的活跃研究系统。
 EvoScientist 超越了传统的人在回路（Human-in-the-Loop）模式，采用人在环上（Human-on-the-Loop）范式——AI 作为研究伙伴，与人类研究者共同进化，逐步内化学术品味与科学判断力。**
 
-<h3>统一入口，多端体验</h3>
+<h3>⚡ 统一入口，多端体验</h3>
 
 <table>
   <tr>
@@ -87,6 +87,7 @@ EvoScientist 超越了传统的人在回路（Human-in-the-Loop）模式，采
 - **[2026 年 3 月 13 日]** 🚀 [**EvoScientist**](https://github.com/EvoScientist/EvoScientist) 正式亮相！
 - **[2026 年 3 月 11 日]** ⛳ 技术报告已上线！[**查看详情**](https://arxiv.org/abs/2603.08127) 👈
 - **[2026 年 3 月 9 日]** 🏆 [ICAIS 2025](https://icais.ai/) AI Scientist Track 6/6 全部中稿 — Best Paper & AI Reviewer's Appraisal Award！[**详情**](https://airaxiv.com/papers/?q=zacharyzhang2022%40gmail.com) 👈
+- **[2026 年 3 月 6 日]** 🥇 提交时在 [DeepResearch Bench II](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 排名第一！[**排行榜**](https://agentresearchlab.com/benchmarks/deepresearch-bench-ii/index.html#leaderboard) 👈
 
 ## 📖 目录