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README.md

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+<h1 align="center"> Learning Adaptive Reasoning Search in Language </h1>
+
+<p align="center">
+  <a href="https://www.jiayipan.com/" style="text-decoration: none;">Jiayi Pan</a><sup>*</sup>,
+  <a href="https://xiuyuli.com/" style="text-decoration: none;">Xiuyu Li</a><sup>*</sup>,
+  <a href="https://tonylian.com/" style="text-decoration: none;">Long Lian</a><sup>*</sup>,
+  <a href="https://sea-snell.github.io/" style="text-decoration: none;">Charlie Victor Snell</a>,
+  <a href="https://yifeizhou02.github.io/" style="text-decoration: none;">Yifei Zhou</a>,<br>
+  <a href="https://www.adamyala.org/" style="text-decoration: none;">Adam Yala</a>,
+  <a href="https://people.eecs.berkeley.edu/~trevor/" style="text-decoration: none;">Trevor Darrell</a>,
+  <a href="https://people.eecs.berkeley.edu/~keutzer/" style="text-decoration: none;">Kurt Keutzer</a>,
+  <a href="https://www.alanesuhr.com/" style="text-decoration: none;">Alane Suhr</a>
+</p>
+
+<p align="center">
+    UC Berkeley and UCSF &nbsp;&nbsp;&nbsp;<sup>*</sup> Equal Contribution
+</p>
+
+<p align="center">
+<a href="TODO">📃 Paper</a>
+•
+<a href="https://huggingface.co/Parallel-Reasoning" >🤗 Data & Models</a>
+</p>
+
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/61568f37272f2d87a99ba884/2GvPLwAX0hYt9PxYjAIej.png)
+
+**TL;DR**: 
+We present Adaptive Parallel Reasoning (APR), a novel framework that enables language models to learn to orchestrate both serialized and parallel computations. APR trains language models to use `spawn()` and `join()` operations through end-to-end supervised training and reinforcement learning, allowing models to dynamically orchestrate their own computational workflows.
+APR efficiently distributes compute, reduces latency, overcomes context window limits, and achieves state‑of‑the‑art performance on complex reasoning tasks (e.g., 83.4% vs. 60.0% accuracy at 4K context on Countdown).