Merge pull request #56 from yuzhenmao/yuzhen/delm

Add DeLM to publications and blogs

Author: jonsaadfalcon

_blogs/delm.md

@@ -0,0 +1,26 @@
+---
+title: 'Decentralized Multi-Agent Systems with Shared Context'
+authors:
+  - key: yuzhenmao
+    affiliation: Stanford University
+  - key: azaliamirhoseini
+    affiliation: Stanford University
+tags:
+  - Agents
+  - generative ai
+venue: none
+year: 2026
+date: 2026-06-09
+teaser: "DeLM replaces centralized orchestration with a shared, verified context and a task queue, letting parallel agents asynchronously accumulate reusable progress for scalable, reliable, and cost-efficient test-time reasoning."
+redirect: https://yuzhenmao.github.io/DeLM/
+materials:
+  - name: Paper
+    url: https://arxiv.org/abs/2606.10662
+    type: file-pdf
+  - name: Codebase
+    url: https://github.com/yuzhenmao/DeLM
+    type: code
+  - name: Project Page
+    url: https://yuzhenmao.github.io/DeLM/
+    type: link
+---

_data/people.yml

@@ -54,6 +54,12 @@ bradleybrown:
   url: https://www.bradbrown.ca/
   title: PhD Student
 
+yuzhenmao:
+  name: Yuzhen Mao
+  url: https://yuzhenmao.github.io/
+  title: PhD Student
+  note: Coadvised with Christos Kozyrakis
+
 
 # Let's put a collaborator section in future PRs
 

_pubs/delm.md

@@ -0,0 +1,28 @@
+---
+title: 'Decentralized Multi-Agent Systems with Shared Context'
+authors:
+  - key: yuzhenmao
+    affiliation: Stanford University
+  - key: azaliamirhoseini
+    affiliation: Stanford University
+venue: preprint
+year: 2026
+date: 2026-06-09
+has_pdf: true
+doi: 10.48550/arXiv.2606.10662
+tags:
+  - Agents
+  - generative ai
+teaser: DeLM replaces centralized orchestration with a shared, verified context and a task queue, letting parallel agents asynchronously accumulate reusable progress for scalable, reliable, and cost-efficient test-time reasoning.
+materials:
+  - name: Paper
+    url: https://arxiv.org/abs/2606.10662
+    type: file-pdf
+  - name: Code
+    url: https://github.com/yuzhenmao/DeLM
+    type: code
+  - name: Project Page
+    url: https://yuzhenmao.github.io/DeLM/
+    type: link
+---
+Multi-agent systems (MAS) can scale large language model reasoning at test time by decomposing complex problems into parallel subtasks. However, most existing MAS rely on centralized orchestration, where a main agent assigns work, collects outputs, and merges results. As the number of subtasks grows, this controller becomes a communication and integration bottleneck. We propose Decentralized Language Models (DeLM), a MAS framework that decentralizes coordination through parallel agents, a shared verified context, and a task queue. Agents asynchronously claim subtasks, read accumulated progress, perform local reasoning, and write back compact verified updates. The shared context acts as a common communication substrate, enabling agents to build on one another's verified progress without routing every update through a central controller. Empirically, DeLM improves both software-engineering test-time scaling and long-context reasoning. On SWE-bench Verified, DeLM achieves the best performance across Avg.@1, Pass@2, and Pass@4, with gains of up to 10.5 percentage points over the strongest baseline, while reducing cost per task by roughly 50%. On LongBench-v2 Multi-Doc QA, DeLM achieves the highest average accuracy across four frontier model families, improving over the strongest baseline by up to 5.7 percentage points. The code is available on our [project website](https://yuzhenmao.github.io/DeLM/).