Lichang Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
9
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence. | Sonal Kumar, Simon Sedlcek, Vaibhavi Lokegaonkar, Fernando Lpez, Wenyi Yu, Nishit Anand, Hyeonggon Ryu, Lichang Chen, Maxim Plicka, Miroslav Hlavcek, William Fineas Ellingwood, Sathvik Udupa, Siyuan Hou, Allison Ferner, Sara Barahona, Cecilia Bolaos, Satish Rahi, Laura Herrera-Alarcn, Satvik Dixit, Rupali S. Patil, Soham Deshmukh, Lasha Koroshinadze, Yao Liu, Leibny Paola Garca-Perera, Eleni Zanou, Themos Stafylakis, Joon Son Chung, David Harwath, Chao Zhang, Dinesh Manocha, Alicia Lozano-Diez, Santosh Kesiraju, Sreyan Ghosh, Ramani Duraiswami |
| 2025 | AAAI | 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 |
| 2025 | ACL | From Lists to Emojis: How Format Bias Affects Model Alignment. | Xuanchang Zhang, Wei Xiong, Lichang Chen, Tianyi Zhou, Heng Huang, Tong Zhang |
| 2025 | ICLR | 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, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh |
| 2025 | ICLR | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning. | Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Jiuxiang Gu, Tianyi Zhou |
| 2024 | ACL | Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements. | Ming Li, Jiuhai Chen, Lichang Chen, Tianyi Zhou |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation. | Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan |
| 2024 | ECCV | Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. | Wentao Bao, Lichang Chen, Heng Huang, Yu Kong |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Unbiased Watermark for Large Language Models. | Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang |
| 2024 | ICML | 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 |
| 2024 | ICML | InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models. | Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2023 | EMNLP | PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. | Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng |
| 2023 | EMNLP | How Many Demonstrations Do You Need for In-context Learning? | Jiuhai Chen, Lichang Chen, Chen Zhu, Tianyi Zhou |
| 2020 | ECCV | Graph Edit Distance Reward: Learning to Edit Scene Graph. | Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu |
| 2014 | RTCSA | Design and implementation of gaze tracking system with iPad. | Jiajin Zhang, Liu Di, Lichang Chen |