RLRF:Reinforcement Learning from Reflection through Debates as Feedback for Bias Mitigation in LLMs

no code implementations • 15 Apr 2024 • Ruoxi Cheng, Haoxuan Ma, Shuirong Cao, Tianyu Shi

Biases and stereotypes in Large Language Models (LLMs) can have negative implications for user experience and societal outcomes.

Bias Detection Logical Reasoning +1

Revisiting the Role of Similarity and Dissimilarity in Best Counter Argument Retrieval

no code implementations • 18 Apr 2023 • Hongguang Shi, Shuirong Cao, Cam-Tu Nguyen

Following the definition that the best counter-argument addresses the same aspects as the input argument while having the opposite stance, we aim to develop an efficient and effective model for scoring counter-arguments based on similarity and dissimilarity metrics.

Argument Retrieval Learning-To-Rank +1