Emnlp 2024 Papersowl. Emnlp 2024 invites the submission of long and short papers featuring substantial, original, and unpublished research on empirical methods for natural language processing. Unlearning large language models via negative response and model parameter average shaojie shi, xiaoyu tan, xihe qiu, chao qu, kexin nie, yuan cheng, wei.
Comparing journalist coverage of press releases with llms. Emnlp industry track 2024 invites the submission of papers featuring substantial, original, and unpublished research on empirical methods for natural language processing.
