Update about.md

Author: YWolfeee

_pages/about.md

@@ -13,23 +13,31 @@ I focus on advancing generative AI (both for transformer and diffusion) through
 
 News
 ======
+- (Dec. 2025) We release [DDRL](https://research.nvidia.com/labs/dir/ddrl/), a data-regularized RL algorithm for diffusion! It has been successfully used in NVIDIA [Cosmos-Predict2.5](https://research.nvidia.com/labs/dir/cosmos-predict2.5/), where I was responsible for RL. Check our [post](https://x.com/haotian_yeee/status/1997138677529825452?s=20)!
 - (Dec. 2025) [Data Attribution for RL](https://arxiv.org/abs/2505.19281) was accepted by NeurIPS 2025 (<font color="#DC143C">Oral</font>). See you in San Diego!
 - (Nov. 2025) We released NVIDIA [Cosmos-Predict2.5](https://research.nvidia.com/labs/dir/cosmos-predict2.5/), the Cosmos World Foundation Models specialized for video generation. I am responsible for designing the RL algorithm and performing large-scale post-training (1K+ GPUs) for the release. The algorithm paper will be publicized soon.   
 - (Oct. 2025) [Diffusion Inference-Time Acceleration](https://arxiv.org/abs/2507.15260) was accepted by ICCV 2025. See you in Hawaii! 
 - (Apr. 2025) Google intern work [LLM Constrained Decoding](https://arxiv.org/abs/2504.09135) was accepted by AISTATS 2025, and [ICV-Hallucination](https://arxiv.org/abs/2410.15778) by ICLR 2025 (<font color="#DC143C">Spotlight</font>). See you in Singapore and Phuket!
 <!-- - (Sept. 2024) I started my part-time internship at [NVIDIA Deep Imagination Research](https://research.nvidia.com/labs/dir/). ->
 <!-- - (Sept. 2024) Two papers was accepted by NeurIPS 2024, including [training-free guidance](https://arxiv.org/abs/2409.15761) (<font color="#DC143C">Spotlight</font>) and [geometric trajectory models](https://arxiv.org/abs/2410.13027). See you in Vancouver! ->
-<!-- - (May. 2024) Three papers got accepted by ICML 2024, inclduing [LLM selection](https://arxiv.org/abs/2402.02314), [in-context vectors](https://arxiv.org/abs/2311.06668), and [monitoring AI usage in peer reviews](https://arxiv.org/pdf/2403.07183). See you in Vienna! -->
-<!-- - (Feb. 2024) Our [Forward Laplacian paper](https://www.nature.com/articles/s42256-024-00794-x) is accepted by Nature Machine Intelligence! We release [LapJAX](https://github.com/YWolfeee/lapjax), a JAX based package designed for accelerating general second order operators (e.g., Laplacian) computation. -->
+<!-- - (May 2024) Three papers got accepted by ICML 2024, including [LLM selection](https://arxiv.org/abs/2402.02314), [in-context vectors](https://arxiv.org/abs/2311.06668), and [monitoring AI usage in peer reviews](https://arxiv.org/pdf/2403.07183). See you in Vienna! -->
+<!-- - (Feb. 2024) Our [Forward Laplacian paper](https://www.nature.com/articles/s42256-024-00794-x) is accepted by Nature Machine Intelligence! We release [LapJAX](https://github.com/YWolfeee/lapjax), a JAX-based package designed for accelerating general second-order operators (e.g., Laplacian) computation. -->
 
 Selected Publications
 ======
 - **(In submission) Data-regularized Reinforcement Learning for Diffusion Models at Scale**
   <br/>
   _Haotian Ye, Kaiwen Zheng, Jiashu Xu, Puheng Li, Huayu Chen, Jiaqi Han, Sheng Liu, Qinsheng Zhang, Hanzi Mao, Zekun Hao, Prithvijit Chattopadhyay, Dinghao Yang, Liang Feng, Maosheng Liao, Junjie Bai, Ming-Yu Liu, James Zou, Stefano Ermon_
+  <br/>
+  [[Paper]](https://www.arxiv.org/abs/2512.04332)
+  [[Website]](https://research.nvidia.com/labs/dir/ddrl/)
+  [[Twitter]](https://x.com/haotian_yeee/status/1997138677529825452?s=20)
 - **(In submission) Can Language Models Discover Scaling Laws?**
   <br/>
   _Haowei Lin\*, Haotian Ye\*, Quzhe Huang, Wenzheng Feng, Yujun Li, Xiangyu Wang, Hubert Lim, Zhengrui Li, Jianzhu Ma, Yitao Liang, James Zou_
+  <br/>
+  [[Paper]](https://arxiv.org/abs/2507.21184)
+  [[Blog]](https://algorithmicsuperintelligence.ai/blog/openevolve-sldagent/index.html)
 - **(In submission) InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression**
   <br/>
   _Haotian Ye\*, Qiyuan He\*, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu_