Search Results for author: Qinglin Zhu

Found 6 papers, 2 papers with code

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection

1 code implementation ACL 2022 Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu

In this paper, we propose a joint contrastive learning (JointCL) framework, which consists of stance contrastive learning and target-aware prototypical graph contrastive learning.

Contrastive Learning Stance Detection

Mirror: A Multiple-perspective Self-Reflection Method for Knowledge-rich Reasoning

no code implementations22 Feb 2024 Hanqi Yan, Qinglin Zhu, Xinyu Wang, Lin Gui, Yulan He

While Large language models (LLMs) have the capability to iteratively reflect on their own outputs, recent studies have observed their struggles with knowledge-rich problems without access to external resources.

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives

no code implementations16 Feb 2024 Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui

Existing datasets for narrative understanding often fail to represent the complexity and uncertainty of relationships in real-life social scenarios.

Cannot find the paper you are looking for? You can Submit a new open access paper.