ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization

no code implementations • 6 May 2024 • Yunxiao Shi, Xing Zi, Zijing Shi, Haimin Zhang, Qiang Wu, Min Xu

The efficiency and personalization characteristics of ERAGent are supported by the Experiential Learner module which makes the AI assistant being capable of expanding its knowledge and modeling user profile incrementally.

Large Language Models Are Neurosymbolic Reasoners

1 code implementation • 17 Jan 2024 • Meng Fang, Shilong Deng, Yudi Zhang, Zijing Shi, Ling Chen, Mykola Pechenizkiy, Jun Wang

A wide range of real-world applications is characterized by their symbolic nature, necessitating a strong capability for symbolic reasoning.

Common Sense Reasoning Math +2

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game

no code implementations • 29 Dec 2023 • Zijing Shi, Meng Fang, Shunfeng Zheng, Shilong Deng, Ling Chen, Yali Du

This problem motivates the area of ad hoc teamwork, in which an agent may potentially cooperate with a variety of teammates to achieve a shared goal.

CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models

1 code implementation • 18 May 2023 • Jiaxu Zhao, Meng Fang, Zijing Shi, Yitong Li, Ling Chen, Mykola Pechenizkiy

We evaluate two popular pretrained Chinese conversational models, CDial-GPT and EVA2. 0, using CHBias.

Response Generation