Update README.md

README.md

@@ -10,13 +10,13 @@ license: apache-2.0
 
 <div align="center">
 
-[![DCASE 2026](https://img.shields.io/badge/DCASE%202026-Task%205%20Dev%20Set-red.svg)](https://dcase.community/challenge2026/index#task5)
+[![DCASE 2026 Task 5](https://img.shields.io/badge/DCASE%202026-Task%205%20Dev%20Set-red.svg)](https://dcase.community/challenge2026/task-audio-dependent-question-answering)
 [![Paper](https://img.shields.io/badge/Paper-ICLR%202026-b31b1b.svg)](https://arxiv.org/abs/2509.21060)
 [![Training Set](https://img.shields.io/badge/Training%20Set-AudioMCQ--StrongAC--GeminiCoT-yellow.svg)](https://huggingface.co/datasets/Harland/AudioMCQ-StrongAC-GeminiCoT)
 
 </div>
 
-This is the official **Development Set** for [DCASE 2026 Challenge Task 5: Audio-Dependent Question Answering (ADQA)](https://dcase.community/challenge2026/index#task5).
+This is the official **Development Set** for [DCASE 2026 Challenge Task 5: Audio-Dependent Question Answering (ADQA)](https://dcase.community/challenge2026/task-audio-dependent-question-answering).
 
 The ADQA task focuses on addressing **"Textual Hallucination"** in Large Audio-Language Models (LALMs) — where models pass audio understanding benchmarks by relying on text prompts and internal linguistic priors rather than actual audio perception. ADQA introduces a rigorous evaluation framework using **Audio-Dependency Filtering (ADF)** to ensure questions cannot be answered through common sense or text-only reasoning.
 
@@ -96,10 +96,10 @@ This dataset is distributed under the **Apache-2.0** license.
 If you use this development set or participate in DCASE 2026 Task 5, please cite:
 
 ```bibtex
-@inproceedings{he2025audiomcq,
+@article{he2025measuring,
   title={Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models},
-  author={He, Haolin and others},
-  booktitle={Proceedings of the International Conference on Learning Representations (ICLR)},
-  year={2026}
+  author={He, Haolin and Du, Xingjian and Sun, Renhe and Dai, Zheqi and Xiao, Yujia and Yang, Mingru and Zhou, Jiayi and Li, Xiquan and Liu, Zhengxi and Liang, Zining and others},
+  journal={arXiv preprint arXiv:2509.21060},
+  year={2025}
 }
 ```