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 ## Updates
 - [03/13]🔥 Our paper ["MMC: Advancing Multimodal Chart Understanding with LLM Instruction Tuning"](https://arxiv.org/pdf/2311.10774.pdf) is accepted to **[NAACL 2024](https://2024.naacl.org)**.
 - [02/26] 🔥 Our [HallusionBench](https://arxiv.org/abs/2310.14566) is accepted by **[CVPR 2024](https://cvpr.thecvf.com)**.
-- [01/15] 🔥 Our work ["Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning"](https://github.com/FuxiaoLiu/LRV-Instruction) is accepted by [ICLR 2024](https://iclr.cc).
+- [01/15] 🔥 Our work ["Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning"](https://github.com/FuxiaoLiu/LRV-Instruction) is accepted by **[ICLR 2024](https://iclr.cc)**.
 - [11/28] 🔥 The full paper is uploaded and can be accessed [here](https://arxiv.org/abs/2310.14566). The dataset is expanded and leaderboard is updated.
 - [11/13] 🔥 Evaluation result on LLaVA-1.5 is updated. More model results to come!
 - [10/27] 🔥 The [leaderboard](https://paperswithcode.com/sota/visual-question-answering-vqa-on-3) and evaluation code is released! **Welcome to update your model on our leaderboard!**