update pub list and proj

data/projectsData.ts

@@ -6,6 +6,13 @@ interface Project {
 }
 
 const projectsData: Project[] = [
+  {
+    title: 'GameArena: Evaluating LLM Reasoning through Live Computer Games',
+    description: `We developed a live Roblox game, AI Space Escape, powered by state-of-the-art large language models (LLMs), offering a unique experience to reason with AI. Beyond entertainment, our game generates gaming data for evaluating AI reasoning abilities in real-world scenarios, extending beyond math and coding benchmarks. All gaming data, evaluation scripts, and code are publicly available for further research.`,
+    imgSrc: '/static/images/projects/gamearena-cover.jpg',
+    href: 'https://lmgame.org/#/blog/ai_space_escape',
+
+  },
   {
     title: 'Cognify: A Comprehensive, Multi-Faceted Gen AI Workflow Optimizer',
     description: `TL;DR: Building high-quality, cost-effective generative AI applications is challenging due to the absence of systematic methods for tuning, testing, and optimization. We introduce Cognify, a tool that automatically enhances generation quality and reduces costs for generative AI workflows, including those written with LangChain, DSPy, and annotated Python. Built on a novel foundation of hierarchical, workflow-level optimization, Cognify delivers up to a 48% improvement in generation quality and up to 9x cost reduction. Cognify is publicly available at https://github.com/GenseeAI/cognify.`,

data/publication/haoailab/gamearena.mdx

@@ -1,7 +1,7 @@
 ---
 title: "GameArena: Evaluating LLM Reasoning through Live Computer Games"
-date: '2024-12-15'
-tags: ['PREPRINT']
+date: '2025-04-27'
+tags: ['ICLR2025']
 draft: false
 authors: ["Lanxiang Hu*", "Qiyu Li*", "Anze Xie*", "Nan Jiang", "Ion Stoica", "Haojian Jin", "Hao Zhang"]
 canonicalUrl: https://arxiv.org/pdf/2412.06394

data/publication/haoailab/scaling_long.mdx

@@ -0,0 +1,8 @@
+---
+title: "Scaling Long Context Training Data by Long-Distance Referrals"
+date: '2025-04-27'
+tags: ['ICLR2025']
+draft: false
+authors: ["Yonghao Zhuang*", "Lanxiang Hu*", "Longfei Yun", "Souvik Kundu", "Zhengzhong Liu", "Eric P. Xing", "Hao Zhang"]
+canonicalUrl: https://arxiv.org/pdf/2403.00835.pdf
+---

data/publication/picasso_lab/simprune.mdx

@@ -1,7 +1,7 @@
 ---
 title: 'Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning'
-date: '2025-01-25'
-tags: ['ICLR']
+date: '2025-04-27'
+tags: ['ICLR2025']
 draft: false
 authors: ['Sheng Li', 'Qitao Tan', 'Yue Dai', 'Zhenglun Kong', 'Tianyu Wang', 'Jun Liu', 'Ao Li', 'Ninghao Liu', 'Yufei Ding', 'Xulong Tang', 'Geng Yuan']
 canonicalUrl: https://dl.acm.org/doi/10.1145/3620665.3640406

data/publication/wuklab/preble_pub.mdx

@@ -1,7 +1,7 @@
 ---
 title: 'Preble: Efficient Distributed Prompt Scheduling for LLM Serving'
 date: '2025-04-24'
-tags: ['ICLR 2025']
+tags: ['ICLR2025']
 draft: false
 authors: ['Vikranth Srivatsa', 'Zijian He', 'Reyna Abhyankar', 'Dongming Li', 'Yiying Zhang']
 canonicalUrl: https://arxiv.org/abs/2407.00023