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Chenghua Lin — most-cited papers & profile · Large Language Models
← authors
·
overview
Chenghua Lin
31
papers ·
74
citations ·
23
h-index
University of Manchester
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning
2024 · 5 citations
Compressing Context to Enhance Inference Efficiency of Large Language Models
2023 · 3 citations
Effective Distillation of Table-based Reasoning Ability from LLMs
2023 · 2 citations
LongEval: A Comprehensive Analysis of Long-Text Generation Through a Plan-based Paradigm
2025 · 1 citations
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching
2025
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
2025
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
2025
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment
2024
Top co-authors
Wenge Rong
· 3
Chenghao Xiao
· 2
Ge Zhang
· 2
Jun Bai
· 2
Xinrun Du
· 2
Yanmeng Wang
· 2
Yiming Liang
· 2
Yuelin Bai
· 2
Bei Li
· 1
Bei Li
· 1
Bo Dong
· 1
Bohao Yang
· 1
Topics
Training Techniques
Fine-Tuning
Evaluation
Efficiency
Code
In-Context Learning
RAG
Safety & Alignment
Reinforcement Learning
Prompting