Li, Shuang

Improving Factuality and Reasoning in Language Models through Multiagent Debate

Du, Y., Li, S., Torralba, A., Tenenbaum, J. B., & Mordatch, I. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1,202

Adaptive deep feature learning network with Nesterov momentum and its application to rotating machinery fault diagnosis

Tang, S., Shen, C., Wang, D., Li, S., Huang, W., & Zhu, Z. (2018) · Neurocomputing

Machine Fault Diagnosis TechniquesFault Detection and Control Systems

Cited by 94

Vision-aided inertial navigation for pinpoint planetary landing

Li, S., Cui, P., & Cui, H. (2007) · Aerospace Science and Technology

Inertial Sensor and NavigationSpacecraft Dynamics and Control

Cited by 90

Onboard Mission Planning for Agile Satellite Using Modified Mixed-Integer Linear Programming

She, Y., Li, S., & Zhao, Y. (2018) · Aerospace Science and Technology

Spacecraft Dynamics and ControlSpacecraft Design and Technology

Cited by 88

Changes in the potential multiple cropping system in response to climate change in China from 1960–2010

Liu, L., Xu, X., Zhuang, D., Chen, X., & Li, S. (2013) · PLoS ONE

Climate change impacts on agricultureSoil and Land Suitability Analysis

Cited by 74

Improved Contrastive Divergence Training of Energy Based Models

Du, Y., Li, S., Tenenbaum, J., & Mordatch, I. (2020) · arXiv

Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning

Cited by 36

From Persona to Personalization: A Survey on Role-Playing Language Agents

Chen, J., Wang, X., Xu, R., Yuan, S., Zhang, Y., Shi, W., Xie, J., Li, S., Yang, R., Zhu, T., et al. (2024) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 15

Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains

Subramaniam, V., Du, Y., Tenenbaum, J. B., Torralba, A., Li, S., & Mordatch, I. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2