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2020 – today
- 2024
[j3]Yiqun Lin
, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui:
Task-Aware Sampling Layer for Point-Wise Analysis. IEEE Trans. Vis. Comput. Graph. 30(10): 6612-6624 (2024)- [c15]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: 4156-4172 - [c14]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: 16160-16176 - [c13]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: 16189-16211 - [c12]Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou:
Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models. CVPR 2024: 14375-14385 - [c11]Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan:
Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation. CVPR 2024: 20155-20164 - [c10]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 - [c9]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. ICLR 2024 - [c8]Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro:
ODIN: Disentangled Reward Mitigates Hacking in RLHF. ICML 2024 - [c7]Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou:
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. ICML 2024 - [c6]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: 6065-6086 - [c5]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: 7602-7635 - [i26]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 abs/2402.07319 (2024) - [i25]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou:
Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. CoRR abs/2402.10110 (2024) - [i24]Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou:
Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. CoRR abs/2402.10614 (2024) - [i23]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 abs/2402.12501 (2024) - [i22]Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan:
Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation. CoRR abs/2403.01619 (2024) - [i21]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 abs/2405.20535 (2024) - [i20]Lichang Chen, Jiuhai Chen, Chenxi Liu, John Kirchenbauer, Davit Soselia, Chen Zhu, Tom Goldstein, Tianyi Zhou, Heng Huang:
OPTune: Efficient Online Preference Tuning. CoRR abs/2406.07657 (2024) - [i19]Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang:
From Lists to Emojis: How Format Bias Affects Model Alignment. CoRR abs/2409.11704 (2024) - [i18]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:
RRM: Robust Reward Model Training Mitigates Reward Hacking. CoRR abs/2409.13156 (2024) - 2023
- [c4]Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou:
How Many Demonstrations Do You Need for In-context Learning? EMNLP (Findings) 2023: 11149-11159 - [c3]Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng:
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP 2023: 13512-13525 - [i17]Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou:
It Takes One to Tango but More Make Trouble? The Number of Demonstrations Needed for In-Context Learning. CoRR abs/2303.08119 (2023) - [i16]Jiuhai Chen, Lichang Chen, Heng Huang, Tianyi Zhou:
When do you need Chain-of-Thought Prompting for ChatGPT? CoRR abs/2304.03262 (2023) - [i15]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 abs/2304.06178 (2023) - [i14]Lichang Chen, Heng Huang, Minhao Cheng:
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR abs/2305.02423 (2023) - [i13]Lichang Chen, Minhao Cheng, Heng Huang:
Backdoor Learning on Sequence to Sequence Models. CoRR abs/2305.02424 (2023) - [i12]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i11]Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou:
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. CoRR abs/2306.03082 (2023) - [i10]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 abs/2307.08701 (2023) - [i9]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 abs/2307.16888 (2023) - [i8]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 abs/2308.12032 (2023) - [i7]Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang:
Unbiased Watermark for Large Language Models. CoRR abs/2310.10669 (2023) - [i6]Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Heng Huang, Jiuxiang Gu, Tianyi Zhou:
Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. CoRR abs/2310.11716 (2023) - [i5]Xinlu Zhang, Chenxin Tian, Xianjun Yang, Lichang Chen, Zekun Li, Linda Ruth Petzold:
AlpaCare: Instruction-tuned Large Language Models for Medical Application. CoRR abs/2310.14558 (2023) - [i4]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 abs/2310.14566 (2023) - [i3]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 abs/2310.18498 (2023) - 2022
- [j2]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: 1-12 (2022) - 2021
- [i2]Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui:
Beyond Farthest Point Sampling in Point-Wise Analysis. CoRR abs/2107.04291 (2021) - 2020
- [c2]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. ECCV (19) 2020: 539-554 - [i1]Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu:
Graph Edit Distance Reward: Learning to Edit Scene Graph. CoRR abs/2008.06651 (2020)
2010 – 2019
- 2016
- [j1]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): 20150927 (2016) - 2014
- [c1]Jiajin Zhang, Liu Di, Lichang Chen:
Design and implementation of gaze tracking system with iPad. RTCSA 2014: 1-5
Coauthor Index
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