This is the official repository of the EMNLP 2024 paper: Enhancing Pre-Trained Generative Language Models with Question Attended Span Extraction on Machine Reading Comprehension. - lynneeai/QASE
Updated Feb 22, 2024 roomylee / nlp-papers-with-arxiv Star 430 Code Issues Pull requests Statistics and accepted paper list of NLP conferences with arXiv link nlp naacl natural-language-processing acl arxiv computational-linguistics emnlp emnlp2019 acl2020 emnlp2020 Updated Jul 24, 2021 ...
Paper Revision 2024.emnlp-main.1074 Anthology ID 2024.emnlp-main.1074 Type of Change Revision PDF of the Revision or Erratum dem-v2.pdf Brief Description of Changes The revision adds a link to the code repository in the abstract.
Confirm that this is a metadata correction I want to file corrections to make the metadata match the PDF file hosted on the ACL Anthology. Anthology ID 2024.emnlp-main.296 Type of Paper Metadata Correction Paper Title Paper Abstract Auth...
The official repository for our EMNLP 2024 paper Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability. - PKU-ONELab/Themis
Anthology ID 2024.findings-emnlp.406 Type of Change Revision PDF of the Revision or Erratum EMNLP_1414_Revise1 (1).pdf Brief Description of Changes The removal of the redundant summary paragraph at the beginning of Appendix A. A sponsor was added to the Acknowledgments section....
EMNLP2021论文列表已经放出已久,我之前的一篇文章,也给出了PaperList,其中,主会接收了656篇长文、191篇短文,Findings接收了305篇长文、119篇短文。 最近,笔者也是花了几… 阅读全文 训练一个专门捣乱的模型 mathor 屠龙者终成恶龙 三位韩国人在EMNLP 2021 Findings上发表了一篇论文,名为Devil’s Advocate: ...
2024EMNLP-MosLora-Mixture-of-Subspaces in Low-Rank Adaptation 0.基础信息 paper:http://arxiv.org/abs/2406.11909 code:https://github.com/wutaiqiang/moslora keywords: #finetune #LoRA TLDR: 问题:大模型finetune。lora的改进。 方法: 是子空间的混合。思路上和MoE有一点像,但是形式上是和AdaLoRA一样...
模型初始化 研究团队对指令调优的IDEFICS2-8B 模型(Laurençon et al., 2024)进行了微调,模型的各项任务通过相应的提示进行区分。训练期间,超参数保持固定,以确保不同的持续学习轮次和系统变体之间的一致性。在进行首次互动轮次之前,团队使用 104 个成功的人类交互示例对模型进行了初始化微调,并将这些数据在后续的...
select the topics that best align with the core theme of the paper. Exclude topics that are too broad or less relevant. You may list up to 10 topics, using only the topic names in the candidate set. Do not include any explanation. Paper: [DOCUMENT], Candidate topic set: [CANDIDATE ...