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Bangwei Li

2 accepted papers

2026

Harmonizing Federated Heterogeneous Optimization via Adaptive Objective Rectification

IJCAI 2026

Federated optimization under data heterogeneity presents a significant challenge, often leading to suboptimal model performance. While numerous methods aim to replicate the ideal performance of centralized training, they frequently fall short in highly heterogeneous settings. In this paper, we intro

Cited by 0Scholar
2025

Mitigating Demonstration Bias through Global Coevolutionary Reasoning

ACL 2025finding

Recent advances in large language models (LLMs) have demonstrated the effectiveness of chain-of-thought (CoT) prompting. Few-Shot-CoT relies on task-specific, manually labeled demonstrations, limiting its generalization to unseen tasks. While Zero-Shot-CoT eliminates this reliance, it often underper…