Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning

no code implementations • 6 Feb 2024 • Yanfang Zhang, Yiliu Sun, Yibing Zhan, Dapeng Tao, DaCheng Tao, Chen Gong

The experimental results on popular LLMs, such as GPT-3. 5-turbo and Gemini-pro, show that our IR method enhances the overall accuracy of factual reasoning by 27. 33% and mathematical proof by 31. 43%, when compared with traditional DR methods.

More Industry-friendly: Federated Learning with High Efficient Design

no code implementations • 16 Dec 2020 • Dingwei Li, Qinglong Chang, Lixue Pang, Yanfang Zhang, Xudong Sun, Jikun Ding, Liang Zhang

Although many achievements have been made since Google threw out the paradigm of federated learning (FL), there still exists much room for researchers to optimize its efficiency.

Federated Learning Vocal Bursts Intensity Prediction