1 citations · 1 across the 4 of their papers we have counts for
4 papers
Instructing Large Language Models to Identify and Ignore Irrelevant Conditions
Zhenyu Wu, Chao Shen, Meng Jiang
Math word problem (MWP) solving requires generating a reasoning path based on a given problem description that often contains irrelevant conditions. Existing chain-of-thought (CoT)…
Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
Zhuoxin Chen, Zhenyu Wu, Yang Ji
Federated learning is designed to enhance data security and privacy, but faces challenges when dealing with heterogeneous data in long-tailed and non-IID distributions. This paper…
Improvements on Recommender System based on Mathematical Principles
Fu Chen, Junkang Zou, Lingfeng Zhou +2
In this article, we will research the Recommender System's implementation about how it works and the algorithms used. We will explain the Recommender System's algorithms based on m…
OpenICL: An Open-Source Framework for In-context Learning
Zhenyu Wu, YaoXiang Wang, Jiacheng Ye +4
In recent years, In-context Learning (ICL) has gained increasing attention and emerged as the new paradigm for large language model (LLM) evaluation. Unlike traditional fine-tuning…