Add pipeline_tag and library_name metadata

Hi! I'm Niels from the Hugging Face community science team.

This PR improves the model card by adding relevant metadata:
- `pipeline_tag: text-generation`: This helps users find your steering vectors when filtering by task on the Hub.
- `library_name: transformers`: This indicates the ecosystem the models are compatible with.

I've also added a brief description and the author list to the README to make the artifact more self-contained.

Best,
Niels

README.md

@@ -1,17 +1,17 @@
 ---
+language:
+- en
 license: mit
+pipeline_tag: text-generation
+library_name: transformers
 tags:
 - rebalance
 - steering-vector
 - reasoning
 - llm
 - iclr-2026
-language:
-- en
 ---
 
-
-
 <h1 align="center">ReBalance Steering Vectors</h1>
 
 <p align="center">
@@ -26,6 +26,13 @@ language:
   <a href="https://github.com/yu-lin-li/ReBalance/blob/main/LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a>
 </p>
 
+## Description
+This repository contains the steering vectors presented in the paper **"Efficient Reasoning with Balanced Thinking"** (ICLR 2026).
+
+**Authors**: Yulin Li, Tengyao Tu, Li Ding, Junjie Wang, Huiling Zhen, Yixin Chen, Yong Li, Zhuotao Tian.
+
+ReBalance is a training-free framework that achieves efficient reasoning by identifying and mitigating "overthinking" (redundant computational steps) and "underthinking" (insufficient exploration) in Large Reasoning Models (LRMs). It leverages confidence as a dynamic indicator to modulate reasoning trajectories using the steering vectors provided here.
+
 ## Overview
 This repository provides **steering vectors only** for ReBalance.