MarkLLM: An Open-Source Toolkit for LLM Watermarking

1 code implementation • 16 May 2024 • Leyi Pan, Aiwei Liu, Zhiwei He, Zitian Gao, Xuandong Zhao, Yijian Lu, Binglin Zhou, Shuliang Liu, Xuming Hu, Lijie Wen, Irwin King

However, the abundance of LLM watermarking algorithms, their intricate mechanisms, and the complex evaluation procedures and perspectives pose challenges for researchers and the community to easily experiment with, understand, and assess the latest advancements.

DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking

no code implementations • 30 Mar 2024 • Jiahao Yu, Yihai Duan, Longfei Xu, Chao Chen, Shuliang Liu, Li Chen, Kaikui Liu, Fan Yang, Ning Guo

Multi-scenario route ranking (MSRR) is crucial in many industrial mapping systems.

Disentanglement

HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction

1 code implementation • NAACL 2022 • Xuming Hu, Shuliang Liu, Chenwei Zhang, Shu`ang Li, Lijie Wen, Philip S. Yu

Unsupervised relation extraction aims to extract the relationship between entities from natural language sentences without prior information on relational scope or distribution.

Clustering Contrastive Learning +3