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ORCIDNuo Chen 0002
Person information
- affiliation: National University of Singapore, Singapore
- affiliation (former): East China Normal University, School of Data Science and Engineering, Shanghai, China
Other persons with the same name
- Nuo Chen — disambiguation page
- Nuo Chen 0001
![[0009-0000-5880-4712]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0000-5880-4712")
— Hong Kong University of Science and Technology (Guangzhou), China (and 2 more) - Nuo Chen 0003 — New York University, NY, USA (and 1 more)
- Nuo Chen 0004 — Hong Kong Polytechnic University, Hong Kong (and 1 more)
- Nuo Chen 0005 — Nanjing University of Science and Technology, School of Electronic and Optical Engineering, China
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2020 – today
- 2025
[c15]Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He:
MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. ACL (Findings) 2025: 4998-5036- [c14]Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, Yuping Zheng, Benyou Wang:
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts. ICLR 2025 - [c13]Wentao Ge, Shunian Chen, Hardy Chen, Nuo Chen, Junying Chen, Zhihong Chen, Wenya Xie, Shuo Yan, ChenghaoZhu ChenghaoZhu, Ziyue Lin, Dingjie Song, Xidong Wang, Anningzhe Gao, Zhiyi Zhang, Jianquan Li, Xiang Wan, Benyou Wang:
MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria. NAACL (Long Papers) 2025: 4951-4974 - [c12]ChenghaoZhu ChenghaoZhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari, Benyou Wang:
Is Your LLM Outdated? A Deep Look at Temporal Generalization. NAACL (Long Papers) 2025: 7433-7457 - [i21]Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He:
What Limits LLM-based Human Simulation: LLMs or Our Design? CoRR abs/2501.08579 (2025) - [i20]Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He:
JudgeLRM: Large Reasoning Models as a Judge. CoRR abs/2504.00050 (2025) - [i19]Qian Wang, Zhanzhi Lou, Zhenheng Tang, Nuo Chen, Xuandong Zhao, Wenxuan Zhang, Dawn Song, Bingsheng He:
Assessing Judging Bias in Large Reasoning Models: An Empirical Study. CoRR abs/2504.09946 (2025) - [i18]Nuo Chen, Andre Huikai Lin, Jiaying Wu, Junyi Hou, Zining Zhang, Qian Wang, Xidong Wang, Bingsheng He:
XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision. CoRR abs/2505.11336 (2025) - [i17]Qingyun Zou, Nuo Chen, Yao Chen, Bingsheng He, Weng-Fai Wong:
HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis. CoRR abs/2507.04315 (2025) - [i16]Qian Wang, Yubo Fan, Zhenheng Tang, Nuo Chen, Wenxuan Wang, Bingsheng He:
Reasoning Models Can be Easily Hacked by Fake Reasoning Bias. CoRR abs/2507.13758 (2025) - [i15]Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He:
Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration. CoRR abs/2508.04575 (2025) - [i14]Nuo Chen, Moming Duan, Andre Huikai Lin, Qian Wang, Jiaying Wu, Bingsheng He:
Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference. CoRR abs/2508.04586 (2025) - [i13]Yufei Gao, Jiaying Fei, Nuo Chen, Ruirui Chen, Guohang Yan, Yunshi Lan, Botian Shi:
MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs. CoRR abs/2508.05502 (2025) - 2024
- [c11]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING 2024: 10958-10969 - [c10]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING 2024: 15362-15372 - [c9]Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING 2024: 16713-16726 - [c8]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP 2024: 1094-1106 - [c7]Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li:
Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? IJCNN 2024: 1-8 - [i12]Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang:
Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People. CoRR abs/2403.03640 (2024) - [i11]Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
Structure-aware Fine-tuning for Code Pre-trained Models. CoRR abs/2404.07471 (2024) - [i10]Chenghao Zhu, Nuo Chen, Yufei Gao, Benyou Wang:
Evaluating LLMs at Evaluating Temporal Generalization. CoRR abs/2405.08460 (2024) - [i9]Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He:
A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR abs/2407.09546 (2024) - [i8]Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, Yuping Zheng, Benyou Wang:
Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts. CoRR abs/2410.10626 (2024) - 2023
- [c6]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) 2023: 868-880 - [c5]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM 2023: 5111-5116 - [c4]Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao:
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) 2023: 577-591 - [c3]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) 2023: 7873-7884 - [c2]Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li:
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) 2023: 14857-14873 - [i7]Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao:
HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR abs/2302.14286 (2023) - [i6]Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao:
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. CoRR abs/2305.08088 (2023) - [i5]Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao:
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR abs/2305.10013 (2023) - [i4]Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao:
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR abs/2306.06427 (2023) - [i3]Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao:
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR abs/2306.07285 (2023) - [i2]Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li:
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR abs/2310.13022 (2023) - 2022
- [c1]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. EMNLP (Findings) 2022: 4000-4008 - [i1]Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao:
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR abs/2210.04633 (2022)
Coauthor Index
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