most citedTowards Better Chain-of-Thought Prompting Strategies: A Survey

25 citations · 48 across the 13 of their papers we have counts for

collaborators

13 papers

eess.AS2023

GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System

Xiaojiao Chen, Sheng Li, Jiyi Li +3

Speaker adaptation systems face privacy concerns, for such systems are trained on private datasets and often overfitting. This paper demonstrates that an attacker can extract speak…

eess.AS2023

Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization

Xiaojiao Chen, Sheng Li, Jiyi Li +3

Current speaker anonymization methods, especially with self-supervised learning (SSL) models, require massive computational resources when hiding speaker identity. This paper propo…

cs.CL2023

Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling Correction

Kunting Li, Yong Hu, Shaolei Wang +4

ChatGPT has demonstrated impressive performance in various downstream tasks. However, in the Chinese Spelling Correction (CSC) task, we observe a discrepancy: while ChatGPT perform…

cs.CL202325 cited

Towards Better Chain-of-Thought Prompting Strategies: A Survey

Zihan Yu, Liang He, Zhen Wu +2

Chain-of-Thought (CoT), a step-wise and coherent reasoning chain, shows its impressive strength when used as a prompting strategy for large language models (LLM). Recent years, the…

cs.CV20231 cited

3D Multiple Object Tracking on Autonomous Driving: A Literature Review

Peng Zhang, Xin Li, Liang He +1

3D multi-object tracking (3D MOT) stands as a pivotal domain within autonomous driving, experiencing a surge in scholarly interest and commercial promise over recent years. Despite…

eess.AS2023

Graph Neural Network Backend for Speaker Recognition

Liang He, Ruida Li, Mengqi Niu

Currently, most speaker recognition backends, such as cosine, linear discriminant analysis (LDA), or probabilistic linear discriminant analysis (PLDA), make decisions by calculatin…