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+CLAUDE.local.md

README.md

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   - 100K<n<1M
 ---
 
-# MATT-Bench
+# Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos
 
-> **Dataset coming soon.** We are preparing the data for public release. Stay tuned!
+**CVPR 2026**
+
+[Yayuan Li](https://www.linkedin.com/in/yayuan-li-148659272/)<sup>1</sup>, [Aadit Jain](https://www.linkedin.com/in/jain-aadit/)<sup>1</sup>, [Filippos Bellos](https://www.linkedin.com/in/filippos-bellos-168595156/)<sup>1</sup>, [Jason J. Corso](https://www.linkedin.com/in/jason-corso/)<sup>1,2</sup>
+
+<sup>1</sup>University of Michigan, <sup>2</sup>Voxel51
 
-**Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos** (CVPR 2026)
+[[Paper](https://arxiv.org/abs/2511.20525)] [[Code](https://github.com/yayuanli/MATT)] [[Project Page](https://yayuanli.github.io/MATT/)]
 
-## Overview
+---
+
+> **Dataset coming soon.** We are preparing the data for public release. Stay tuned!
+
+## MATT-Bench Overview
 
 MATT-Bench provides two large-scale benchmarks for **Mistake Attribution (MATT)** — a task that goes beyond binary mistake detection to attribute *what* semantic role was violated, *when* the mistake became irreversible (Point-of-No-Return), and *where* the mistake occurred in the frame.
 
@@ -49,19 +57,6 @@ Each sample consists of an instruction text and an attempt video, annotated with
 - **Temporal Attribution**: The Point-of-No-Return (PNR) frame where the mistake becomes irreversible (Ego4D-M)
 - **Spatial Attribution**: Bounding box localizing the mistake region in the PNR frame (Ego4D-M)
 
-## Links
-
-- [Paper (arXiv)](https://arxiv.org/abs/2511.20525)
-- [Code (GitHub)](https://github.com/yayuanli/MATT)
-- [Project Page](https://yayuanli.github.io/MATT/)
-
-## Authors
-
-- [Yayuan Li](https://www.linkedin.com/in/yayuan-li-148659272/) — University of Michigan
-- [Aadit Jain](https://www.linkedin.com/in/jain-aadit/) — University of Michigan
-- [Filippos Bellos](https://www.linkedin.com/in/filippos-bellos-168595156/) — University of Michigan
-- [Jason J. Corso](https://www.linkedin.com/in/jason-corso/) — University of Michigan, Voxel51
-
 ## Citation
 
 ```bibtex