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Lichang Chen — most-cited papers & profile · Large Language Models
← authors
·
overview
Lichang Chen
14
papers ·
21
citations ·
12
h-index
Sun Yat-sen University · Shanghai Jiao Tong University · Yunnan Agricultural University · Ruijin Hospital · Fuyang City People's Hospital · Zhujiang Hospital · Southern Medical University
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Most-cited papers
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning
2023 · 8 citations
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning
2024 · 1 citations
Self-rewarding correction for mathematical reasoning
2025
Learning to Reason via Mixture-of-Thought for Logical Reasoning
2025
OPTune: Efficient Online Preference Tuning
2024
AlpaGasus: Training A Better Alpaca with Fewer Data
2023
Virtual Prompt Injection for Instruction-Tuned Large Language Models
2023
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
2023
ODIN: Disentangled Reward Mitigates Hacking in RLHF
2024
Top co-authors
Tianyi Zhou
· 4
Heng Huang
· 3
Hai Wang
· 2
Hongxia Jin
· 2
Jiuhai Chen
· 2
Jun Yan
· 2
Shiyang Li
· 2
Vijay Srinivasan
· 2
Vikas Yadav
· 2
Zheng Tang
· 2
Bryan Catanzaro
· 1
Chenlu Ye
· 1
Topics
Training Techniques
Fine-Tuning
Efficiency
Safety & Alignment
Reinforcement Learning
Evaluation
Code
Model Architecture
Prompting
Vision-Language