4 citations · 7 across the 4 of their papers we have counts for
4 papers
Promoting Equality in Large Language Models: Identifying and Mitigating the Implicit Bias based on Bayesian Theory
Yongxin Deng, Xihe Qiu, Xiaoyu Tan +6
Large language models (LLMs) are trained on extensive text corpora, which inevitably include biased information. Although techniques such as Affective Alignment can mitigate some n…
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Thought
Xiaoyu Tan, Yongxin Deng, Xihe Qiu +5
Large language models (LLMs) have shown exceptional performance as general-purpose assistants, excelling across a variety of reasoning tasks. This achievement represents a signific…
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models
Xihe Qiu, Haoyu Wang, Xiaoyu Tan +6
Effective collaboration in multi-agent systems requires communicating goals and intentions between agents. Current agent frameworks often suffer from dependencies on single-agent e…
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu +1
Effective coordination is crucial for motion control with reinforcement learning, especially as the complexity of agents and their motions increases. However, many existing methods…