Reference author: Xilun Chen

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Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452

Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval. ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452

Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.findings-emnlp.423

Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.findings-emnlp.423

Lin, S.-C. ., Gao, L. ., Oguz, B. ., Xiong, W. ., Lin, J. ., Yih, W.- tau ., & Chen, X. . (2024). FLAME: Factuality-Aware Alignment for Large Language Models. ArXiv, abs/2405.01525. https://doi.org/10.48550/ARXIV.2405.01525

Li, M. ., Chen, X. ., Holtzman, A. ., Chen, B. ., Lin, J. ., Yih, W.- tau ., & Lin, X. V. (2024). Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. ArXiv, abs/2405.19325. https://doi.org/10.48550/ARXIV.2405.19325