Lichang Chen

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 36

Top Topics

Rule Interestingness Measures

Tunable Parameters

Top Venues

Publications

Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation. CoRR (2024)
Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. ACL (Findings) (2024)
Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. CoRR (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR (2024)
Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. CoRR (2024)
Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection. NAACL-HLT (2024)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. ACL (Findings) (2024)
Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang
OPTune: Efficient Online Preference Tuning. CoRR (2024)
Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. ACL (Findings) (2024)
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. NAACL-HLT (2024)
Lichang Chen, Chen Zhu, Davit Soselia, Jiuhai Chen, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro
ODIN: Disentangled Reward Mitigates Hacking in RLHF. CoRR (2024)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training a Better Alpaca with Fewer Data. ICLR (2024)
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Unbiased Watermark for Large Language Models. ICLR (2024)
Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang
Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection. CoRR (2024)
Lichang Chen, Heng Huang, Minhao Cheng
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR (2023)
Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang
GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset. CoRR (2023)
Wentao Bao, Lichang Chen, Heng Huang, Yu Kong
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR (2023)
Lichang Chen, Minhao Cheng, Heng Huang
Backdoor Learning on Sequence to Sequence Models. CoRR (2023)
Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP (2023)
Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou
When do you need Chain-of-Thought Prompting for ChatGPT? CoRR (2023)
Jiuhai Chen, Lichang Chen, Tianyi Zhou
It Takes One to Tango but More Make Trouble? In-Context Training with Different Number of Demonstrations. CoRR (2023)
Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
AlpaGasus: Training A Better Alpaca with Fewer Data. CoRR (2023)
Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, Linda Ruth Petzold
AlpaCare: Instruction-tuned Large Language Models for Medical Application. CoRR (2023)
Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. CoRR (2023)
Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou
How Many Demonstrations Do You Need for In-context Learning? EMNLP (Findings) (2023)
Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR (2023)
Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang
Unbiased Watermark for Large Language Models. CoRR (2023)
Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou
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. CoRR (2023)
Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR (2023)
Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin
Virtual Prompt Injection for Instruction-Tuned Large Language Models. CoRR (2023)
Xiangyu Xu, Lichang Chen, Changjiang Cai, Huangying Zhan, Qingan Yan, Pan Ji, Junsong Yuan, Heng Huang, Yi Xu
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction. CoRR (2023)
Hongyu Zhang, Lichang Chen, Yunhao Zhang, Renjie Hu, Chunjuan He, Yaqing Tan, Jiajin Zhang
A Wearable Real-Time Character Recognition System Based on Edge Computing-Enabled Deep Learning for Air-Writing. J. Sensors 2022 (2022)
Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui
Beyond Farthest Point Sampling in Point-Wise Analysis. CoRR (2021)
Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
Graph Edit Distance Reward: Learning to Edit Scene Graph. CoRR (2020)
Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu
Graph Edit Distance Reward: Learning to Edit Scene Graph. ECCV (19) (2020)
Jiajin Zhang, Yang Housen, Yankang Du, Gao Quan, Peng Lin, Zhang Yue, Lichang Chen
A DMR logic for mitigating the SET induced soft errors in combinational circuits. IEICE Electron. Express 13 (2) (2016)
Jiajin Zhang, Liu Di, Lichang Chen
Design and implementation of gaze tracking system with iPad. RTCSA (2014)