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Update paper acceptance details in README
Updated paper acceptance information to include AAAI 2026.
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README.md

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Welcome to the official repository for **LLM2CLIP**! This project leverages large language models (LLMs) as powerful textual teachers for CLIP's visual encoder, enabling more nuanced and comprehensive multimodal learning.
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[![Paper](https://img.shields.io/badge/Paper-arXiv-red)](https://arxiv.org/abs/2411.04997) [![Project Homepage](https://img.shields.io/badge/Project-Homepage-blue)](https://aka.ms/llm2clip) [![HuggingFace Collection](https://img.shields.io/badge/HuggingFace-Collection-orange)](https://huggingface.co/collections/microsoft/llm2clip-672323a266173cfa40b32d4c)
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**Paper:** Accepted to NeurIPS 2024 Workshop: Self-Supervised Learning - Theory and Practice
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**Paper:** Accepted to NeurIPS 2024 Workshop: Self-Supervised Learning - Theory and Practice and AAAI 2026
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