diff --git a/README.md b/README.md
index 62e3f26..cbea4ea 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,7 @@
   </picture>
 </a>
 
+[![EMNLP 2026 Findings](https://img.shields.io/badge/%F0%9F%8F%86_EMNLP_2026-Findings-8C1D18?style=flat-square)](https://2026.emnlp.org/)
 [![arXiv](https://img.shields.io/badge/arXiv-2604.08523-B31B1B?style=flat-square&logo=arxiv&logoColor=white)](https://arxiv.org/abs/2604.08523)
 [![Leaderboard](https://img.shields.io/badge/Leaderboard-FFD21E?style=flat-square&logo=huggingface&logoColor=000)](https://huggingface.co/spaces/TIGER-Lab/ClawBench)
 [![HF Dataset](https://img.shields.io/badge/Dataset-FFD21E?style=flat-square&logo=huggingface&logoColor=000)](https://huggingface.co/datasets/NAIL-Group/ClawBench)
@@ -424,6 +425,7 @@ ClawBench ships **three** Hugging Face datasets — task definitions plus full e
 > **🏆 Live leaderboard:** [`claw-bench.com/leaderboard`](https://claw-bench.com/leaderboard) (V2 default, two-stage scoring — interception + LLM judge). Full scoring formula in [`eval/scoring.md`](eval/scoring.md). Add your run: PR to [`leaderboard/results.csv`](https://huggingface.co/datasets/TIGER-Lab/ClawBench/blob/main/leaderboard/results.csv).
 
 ## <img src="assets/icons/bullhorn.svg" width="20" height="20"> News
+- **[2026.08.20]** — 🏆 Our paper has been accepted to [EMNLP 2026 Findings](https://2026.emnlp.org/).
 - **[2026.08.20]** - Added [Kernel](https://www.kernel.sh) as a supported remote browser runtime. Thanks to @[rgarcia](https://github.com/rgarcia).
 - **[2026.08.18]** — Added [WebBrain](https://github.com/webbrain-one/webbrain) as a supported harness. Thanks to @[alectimison-maker](https://github.com/alectimison-maker).
 - **[2026.08.16]** — Released **[RewardHarness](https://github.com/TIGER-AI-Lab/RewardHarness)**, our self-evolving agentic reward framework: 47.4% on EditReward-Bench from just 100 preference demos, with no reward-model training. [Details →](https://arxiv.org/abs/2605.08703)
diff --git a/docs/README.zh-CN.md b/docs/README.zh-CN.md
index 3dd9f92..138a60c 100644
--- a/docs/README.zh-CN.md
+++ b/docs/README.zh-CN.md
@@ -368,6 +368,7 @@ ClawBench 提供 **三个** Hugging Face 数据集 —— 任务定义，以及
 
 ## <img src="../assets/icons/bullhorn.svg" width="20" height="20"> 动态
 
+- **[2026.08.20]** —— 🏆 论文被 [EMNLP 2026 Findings](https://2026.emnlp.org/) 接收。
 - **[2026.08.20]** —— 新增 [Kernel](https://www.kernel.sh) 作为支持的远程浏览器运行时。感谢 @[rgarcia](https://github.com/rgarcia)。
 - **[2026.08.18]** —— 新增 [WebBrain](https://github.com/webbrain-one/webbrain) 作为支持的 harness。感谢 @[alectimison-maker](https://github.com/alectimison-maker)。
 - **[2026.08.16]** —— 发布姊妹项目 **[RewardHarness](https://github.com/TIGER-AI-Lab/RewardHarness)**：自进化的 agentic 奖励框架，仅用 100 条偏好示例即在 EditReward-Bench 上达到 47.4%，且无需训练奖励模型。[详情 →](https://arxiv.org/abs/2605.08703)
diff --git a/docs/news.md b/docs/news.md
index b5b3bf1..6bd64fc 100644
--- a/docs/news.md
+++ b/docs/news.md
@@ -4,6 +4,7 @@ The five most recent items live in the [README](../README.md#news). Everything e
 
 ## 2026
 
+- **[2026.08.20]** — 🏆 Our paper has been accepted to [EMNLP 2026 Findings](https://2026.emnlp.org/).
 - **[2026.08.16]** — Released **[RewardHarness](https://github.com/TIGER-AI-Lab/RewardHarness)**, our self-evolving agentic reward framework: 47.4% on EditReward-Bench from just 100 preference demos, with no reward-model training. [Details →](https://arxiv.org/abs/2605.08703)
 - **[2026.08.03]** — Added [Browserbase](https://www.browserbase.com) as a remote browser runtime for ClawBench. [Details →](browser-runtimes.md)
 - **[2026.07.30]** — v0.8.0 released: Gemini-as-judge, random-click baseline harness, EdgeBench/SForge adapter, remote-browser CDP support. [Details →](../CHANGELOG.md)