1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data
Xuemiao Zhang, Liangyu Xu, Feiyu Duan +5
Large language models (LLMs) generally utilize a consistent data distribution throughout the pretraining process. However, as the model's capability improves, it is intuitive that…
cs.CL2024
Dual Instruction Tuning with Large Language Models for Mathematical Reasoning
Yongwei Zhou, Tiejun Zhao
Recent advancements highlight the success of instruction tuning with large language models (LLMs) utilizing Chain-of-Thought (CoT) data for mathematical reasoning tasks. Despite th…
cs.CL2023★ 1 cited
HopPG: Self-Iterative Program Generation for Multi-Hop Question Answering over Heterogeneous Knowledge
Yingyao Wang, Yongwei Zhou, Chaoqun Duan +2
The semantic parsing-based method is an important research branch for knowledge-based question answering. It usually generates executable programs lean upon the question and then c…