Zero-shot stance detection (ZSSD) aims to detect stances toward unseen targets. Incorporating background knowledge to enhance transferability between seen and unseen targets constitutes the primary approach of ZSSD. However, these methods often struggle with a knowledge-task disconnect and lack logical consistency in their predictions. To address these issues, we introduce a novel approach named Logically Consistent Chain-of-Thought (LC-CoT) for ZSSD, which improves stance detection by ensuring relevant and logically sound knowledge extraction. LC-CoT employs a three-step process. Initially, it assesses whether supplementary external knowledge is necessary. Subsequently, it uses API calls to retrieve this knowledge, which can be processed by a separate LLM. Finally, a manual exemplar guides the LLM to infer stance categories, using an if-then logical structure to maintain relevance and logical coherence. This structured approach to eliciting background knowledge enhances the model's capability, outperforming traditional supervised methods without relying on labeled data.
Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media
College of Big Data and Internet, Shenzhen Technology University（深圳技术大学大数据与互联网学院）；Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学）；Shenzhen X-Institute（深圳X研究院）；Academy of Cyber, Beijing（北京网络研究院）
Zero-shot Tweet-Level Stance Detection Enhanced by External Knowledge and Reflective Chain-of-Thought Reasoning
School of Cyber Science and Engineering, Sichuan University（四川大学网络空间安全学院）；School of Cyberspace Science and Technology, Beijing Jiaotong University（北京交通大学网络空间安全学院）
Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection
Centre for Frontier AI Research (CFAR), A*STAR（新加坡科技研究局前沿人工智能研究中心（CFAR））；Institute of High Performance Computing (IHPC), A*STAR（新加坡科技研究局高性能计算研究所（IHPC））；DSO National Laboratories（DSO国家实验室）
Cross-target Stance Detection by Exploiting Target Analytical Perspectives
Shenzhen University（深圳大学）；Shenzhen X-Institute（深圳X-Institute）；Shenzhen Technology University（深圳技术大学）；Harbin Institute of Technology（哈尔滨工业大学）；Aoyama Gakuin University（青山学院大学）；South China Agricultural University（华南农业大学）
PRISM of Opinions: A Persona-Reasoned Multimodal Framework for User-centric Conversational Stance Detection
Harbin Institute of Technology, Shenzhen, China（哈尔滨工业大学（深圳））；Peng Cheng Laboratory, Shenzhen, China（鹏城实验室）；Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies（广东省新型安全智能技术重点实验室）；The Hong Kong Polytechnic University, Hong Kong, China（香港理工大学）；Macau University of Science and Technology, Hong Kong, China（澳门科学技术大学）
Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning
Tianjin University（天津大学）；City University of Hong Kong（香港城市大学）；University College London（伦敦大学学院）；Peking University（北京大学）；The Hong Kong University of Science and Technology (Guangzhou)（香港科学与技术大学（广州））；University of Bristol（布里斯托大学）
Rationale-Guided Knowledge Distillation for Cross-Lingual Stance Detection
School of Foreign Studies, Hefei University of Technology（合肥工业大学外国语学院）；School of Computer Science and Information Engineering, Hefei University of Technology（合肥工业大学计算机与信息工程学院）；Hefei Institute of Technology（合肥学院）
Evolutionary Pre-Prompt Optimization for Mathematical Reasoning
Meta AI Paris France（Meta AI）；TAU, INRIA；LISN (CNRS \& Univ. Paris-Saclay) Orsay France；INSA Rouen Normandy, University of Rouen Normandy, LITIS UR 4108 Rouen France；Meta AI；LISN (CNRS \& Univ. Paris-Saclay)；INSA Rouen Normandy, University of Rouen Normandy, LITIS UR 4108
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
School of Communication and Information Engineering, Shanghai University（上海大学通信与信息工程学院）；College of Computer Science and Information Technology, IAU（国际应用技术大学计算机科学与信息学院）；Center for AI Research (CAIR), University of Agder (UiA)（阿格德大学人工智能研究中心）
