Design and implementation of gaze tracking system with iPad. - Jiajin Zhang; Liu Di; Lichang Chen (RTCSA, 2014)

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)

Graph Edit Distance Reward: Learning to Edit Scene Graph. - Lichang Chen; Guosheng Lin; Shijie Wang; Qingyao Wu (ECCV (19), 2020)

Beyond Farthest Point Sampling in Point-Wise Analysis. - Yiqun Lin; Lichang Chen; Haibin Huang; Chongyang Ma; Xiaoguang Han 001; Shuguang Cui (CoRR, 2021)

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)

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. - Lichang Chen; Jiuhai Chen; Heng Huang; Minhao Cheng (EMNLP, 2023)

How Many Demonstrations Do You Need for In-context Learning? - Jiuhai Chen; Lichang Chen; Chen Zhu 001; Tianyi Zhou 001 (EMNLP (Findings), 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 001; Tianyi Zhou 001 (CoRR, 2023)

When do you need Chain-of-Thought Prompting for ChatGPT? - Jiuhai Chen; Lichang Chen; Heng Huang; Tianyi Zhou 001 (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 001; Heng Huang; Yi Xu 002 (CoRR, 2023)

PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. - Lichang Chen; Heng Huang; Minhao Cheng (CoRR, 2023)

Backdoor Learning on Sequence to Sequence Models. - Lichang Chen; Minhao Cheng; Heng Huang (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)

Reflection-Tuning: Data Recycling Improves LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Heng Huang; Jiuxiang Gu; Tianyi Zhou 001 (CoRR, 2023)

AlpaCare: Instruction-tuned Large Language Models for Medical Application. - Xinlu Zhang; Chenxin Tian; Xianjun Yang; Lichang Chen; Zekun Li 008; Linda Ruth Petzold (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 001 (CoRR, 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)

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 (ACL (Findings), 2024)

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. - Ming Li; Lichang Chen; Jiuhai Chen; Shwai He; Jiuxiang Gu; Tianyi Zhou 001 (ACL (Findings), 2024)

Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. - Ming Li; Jiuhai Chen; Lichang Chen; Tianyi Zhou 001 (ACL (Findings), 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 003; Xijun Wang 002; Lichang Chen; Furong Huang; Yaser Yacoob; Dinesh Manocha; Tianyi Zhou 001 (CVPR, 2024)

Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation. - Tianyu Luan; Zhong Li; Lele Chen; Xuan Gong; Lichang Chen; Yi Xu 002; Junsong Yuan 001 (CVPR, 2024)

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. - Wentao Bao; Lichang Chen; Heng Huang; Yu Kong 001 (ECCV (14), 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 001; Heng Huang; Hongxia Jin (ICLR, 2024)

Unbiased Watermark for Large Language Models. - Zhengmian Hu; Lichang Chen; Xidong Wu; Yihan Wu; Hongyang Zhang 001; Heng Huang (ICLR, 2024)

ODIN: Disentangled Reward Mitigates Hacking in RLHF. - Lichang Chen; Chen Zhu 001; Jiuhai Chen; Davit Soselia; Tianyi Zhou 001; Tom Goldstein; Heng Huang; Mohammad Shoeybi; Bryan Catanzaro (ICML, 2024)

InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. - Lichang Chen; Jiuhai Chen; Tom Goldstein; Heng Huang; Tianyi Zhou 001 (ICML, 2024)

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. - Ming Li; Yong Zhang 058; Zhitao Li 002; Jiuhai Chen; Lichang Chen; Ning Cheng 001; Jianzong Wang; Tianyi Zhou 001; Jing Xiao 006 (NAACL-HLT, 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 (NAACL-HLT, 2024)

OPTune: Efficient Online Preference Tuning. - Lichang Chen; Jiuhai Chen; Chenxi Liu; John Kirchenbauer; Davit Soselia; Chen Zhu 001; Tom Goldstein; Tianyi Zhou 001; Heng Huang (CoRR, 2024)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasiia Makarova; et al. (CoRR, 2024)

Task-Aware Sampling Layer for Point-Wise Analysis. - Yiqun Lin; Lichang Chen; Haibin Huang; Chongyang Ma; Xiaoguang Han 001; Shuguang Cui (IEEE Trans. Vis. Comput. Graph., 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 (AAAI, 2025)

From Lists to Emojis: How Format Bias Affects Model Alignment. - Xuanchang Zhang; Wei Xiong 015; Lichang Chen; Tianyi Zhou 001; Heng Huang; Tong Zhang 001 (ACL (1), 2025)

RRM: Robust Reward Model Training Mitigates Reward Hacking. - Tianqi Liu 002; Wei Xiong 015; Jie Ren 006; Lichang Chen; Junru Wu; Rishabh Joshi; Yang Gao; Jiaming Shen; Zhen Qin 001; Tianhe Yu; Daniel Sohn; Anastasia Makarova; et al. (ICLR, 2025)

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 001; Heng Huang; Ming-Hsuan Yang 001; Boqing Gong (ICLR, 2025)

BbGSD: Black-boned Sheep Genome SNP Database. - Chunjuan He; Lichang Chen; Juntao Cao; Yuqing Zhong; Zhendong Gao; Weidong Deng; Jiajin Zhang (Database J. Biol. Databases Curation, 2025)

Self-rewarding correction for mathematical reasoning. - Wei Xiong 015; Hanning Zhang; Chenlu Ye; Lichang Chen; Nan Jiang 008; Tong Zhang 001 (CoRR, 2025)

Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models. - Simeng Han; Stephen Xia; Grant Zhang; Howard Dai; Chen Liu; Lichang Chen; Hoang Huy Nguyen; Hongyuan Mei; Jiayuan Mao; R. Thomas McCoy (CoRR, 2025)

Learning to Reason via Mixture-of-Thought for Logical Reasoning. - Tong Zheng; Lichang Chen; Simeng Han; R. Thomas McCoy; Heng Huang (CoRR, 2025)