Lichang Chen

According to our database, Lichang Chen authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Task-Aware Sampling Layer for Point-Wise Analysis.

Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui

IEEE Trans. Vis. Comput. Graph., October, 2024

OmnixR: Evaluating Omni-modality Language Models on Reasoning across Modalities.

Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

CoRR, 2024

RRM: Robust Reward Model Training Mitigates Reward Hacking.

Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasiia Makarova, Jeremiah Z. Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh

CoRR, 2024

From Lists to Emojis: How Format Bias Affects Model Alignment.

Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang

CoRR, 2024

OPTune: Efficient Online Preference Tuning.

Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang

CoRR, 2024

Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning.

Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold

CoRR, 2024

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection.

Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models.

Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ODIN: Disentangled Reward Mitigates Hacking in RLHF.

Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unbiased Watermark for Large Language Models.

Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AlpaGasus: Training a Better Alpaca with Fewer Data.

Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation.

Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.

Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.

Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning.

Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Your Vision-Language Model Itself Is a Strong Filter: Towards High-Quality Instruction Tuning with Data Selection.

Ruibo Chen, Yihan Wu, Lichang Chen, Guodong Liu, Qi He, Tianyi Xiong, Chenxi Liu, Junfeng Guo, Heng Huang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

GPT-4 Vision on Medical Image Classification - A Case Study on COVID-19 Dataset.

Ruibo Chen, Tianyi Xiong, Yihan Wu, Guodong Liu, Zhengmian Hu, Lichang Chen, Yanshuo Chen, Chenxi Liu, Heng Huang

CoRR, 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.

Fuxiao Liu, Tianrui Guan, Zongxia Li, Lichang Chen, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

CoRR, 2023

AlpaCare: Instruction-tuned Large Language Models for Medical Application.

Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, Linda Ruth Petzold

CoRR, 2023

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning.

Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou

CoRR, 2023

Virtual Prompt Injection for Instruction-Tuned Large Language Models.

Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin

CoRR, 2023

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning.

Wentao Bao, Lichang Chen, Heng Huang, Yu Kong

CoRR, 2023

Backdoor Learning on Sequence to Sequence Models.

Lichang Chen, Minhao Cheng, Heng Huang

CoRR, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.

Lichang Chen, Heng Huang, Minhao Cheng

CoRR, 2023

Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction.

Xiangyu Xu, Lichang Chen, Changjiang Cai, Huangying Zhan, Qingan Yan, Pan Ji, Junsong Yuan, Heng Huang, Yi Xu

CoRR, 2023

When do you need Chain-of-Thought Prompting for ChatGPT?

Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou

CoRR, 2023

It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning.

Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou

CoRR, 2023

How Many Demonstrations Do You Need for In-context Learning?

Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer.

Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

A Wearable Real-Time Character Recognition System Based on Edge Computing-Enabled Deep Learning for Air-Writing.

Hongyu Zhang, Lichang Chen, Yunhao Zhang, Renjie Hu, Chunjuan He, Yaqing Tan, Jiajin Zhang

J. Sensors, 2022

2021

Beyond Farthest Point Sampling in Point-Wise Analysis.

Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui

CoRR, 2021

2020

Graph Edit Distance Reward: Learning to Edit Scene Graph.

Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu

Proceedings of the Computer Vision - ECCV 2020, 2020

2016

A DMR logic for mitigating the SET induced soft errors in combinational circuits.

Jiajin Zhang, Yang Housen, Yankang Du, Gao Quan, Peng Lin, Zhang Yue, Lichang Chen

IEICE Electron. Express, 2016

2014

Design and implementation of gaze tracking system with iPad.

Jiajin Zhang, Liu Di, Lichang Chen

Proceedings of the 2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications, 2014