most citedLarge Language Models and Causal Inference in Collaboration: A Survey

14 citations · 22 across the 10 of their papers we have counts for

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cs.CL2025

The Hidden Language of Harm: Examining the Role of Emojis in Harmful Online Communication and Content Moderation

Yuhang Zhou, Yimin Xiao, Wei Ai +1

Social media platforms have become central to modern communication, yet they also harbor offensive content that challenges platform safety and inclusivity. While prior research has…

cs.CL2025

DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data

Yuhang Zhou, Jing Zhu, Shengyi Qian +7

Large Language Models (LLMs) are increasingly aligned with human preferences through Reinforcement Learning from Human Feedback (RLHF). Among RLHF methods, Group Relative Policy Op…

cs.CL2025

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs

Yuhang Zhou, Giannis Karamanolakis, Victor Soto +5

The recent success of specialized Large Language Models (LLMs) in domains such as mathematical reasoning and coding has led to growing interest in methods for merging these expert…

cs.CL2024★ 1 cited

Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios

Yuhang Zhou, Wei Ai

There is increasing interest in distilling task-specific knowledge from large language models (LLM) to smaller student models. Nonetheless, LLM distillation presents a dual challen…

cs.CL2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation

Yuhang Zhou, Jing Zhu, Paiheng Xu +5

Large language models (LLMs) have significantly advanced various natural language processing tasks, but deploying them remains computationally expensive. Knowledge distillation (KD…

cs.CL2024★ 14 cited

Large Language Models and Causal Inference in Collaboration: A Survey

Xiaoyu Liu, Paiheng Xu, Junda Wu +10

Causal inference has shown potential in enhancing the predictive accuracy, fairness, robustness, and explainability of Natural Language Processing (NLP) models by capturing causal…

cs.CL2024★ 3 cited

Emojis Decoded: Leveraging ChatGPT for Enhanced Understanding in Social Media Communications

Yuhang Zhou, Paiheng Xu, Xiyao Wang +3

Emojis, which encapsulate semantics beyond mere words or phrases, have become prevalent in social network communications. This has spurred increasing scholarly interest in explorin…