Tang, R. ., Pandey, A. ., Jiang, Z. ., Yang, G. ., Kumar, K. ., Lin, J. ., & Türe, F. . (2022). What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ArXiv, abs/2210.04885. https://doi.org/10.48550/arXiv.2210.04885
Reference author: Ferhan Türe
First name
Ferhan
Last name
Türe
Tang, R. ., Kumar, K. ., Yang, G. ., Pandey, A. ., Mao, Y. ., Belyaev, V. ., Emmadi, M. ., Murray, C. ., Türe, F. ., & Lin, J. . (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. ArXiv, abs/2211.11740. https://doi.org/10.48550/arXiv.2211.11740
Tang, R. ., Kumar, K. ., Yang, G. ., Pandey, A. ., Mao, Y. ., Belyaev, V. ., Emmadi, M. ., Murray, C. ., Türe, F. ., & Lin, J. . (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. Presented at the. Retrieved from https://aclanthology.org/2022.emnlp-industry.29
Tang, R. ., Kumar, K. ., Yang, G. ., Pandey, A. ., Mao, Y. ., Belyaev, V. ., Emmadi, M. ., Murray, C. ., Türe, F. ., & Lin, J. . (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. Presented at the. Retrieved from https://aclanthology.org/2022.emnlp-industry.29
Tang, R. ., Kumar, K. ., Yang, G. ., Pandey, A. ., Mao, Y. ., Belyaev, V. ., Emmadi, M. ., Murray, C. ., Türe, F. ., & Lin, J. . (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale. Presented at the. Retrieved from https://aclanthology.org/2022.emnlp-industry.29
Tang, R. ., Zhang, X. ., Ma, X. ., Lin, J. ., & Türe, F. . (2023). Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. ArXiv, abs/2310.07712. https://doi.org/10.48550/ARXIV.2310.07712
Tang, R. ., Zhang, X. ., Ma, X. ., Lin, J. ., & Türe, F. . (2023). Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. ArXiv, abs/2310.07712. https://doi.org/10.48550/ARXIV.2310.07712
Tang, R. ., Zhang, X. ., Lin, J. ., & Türe, F. . (2023). What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations. ArXiv, abs/2311.18812. https://doi.org/10.48550/ARXIV.2311.18812
Tang, R. ., Zhang, X. ., Lin, J. ., & Türe, F. . (2023). What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations. ArXiv, abs/2311.18812. https://doi.org/10.48550/ARXIV.2311.18812