Nuo Chen

According to our database, Nuo Chen authored at least 27 papers between 2022 and 2025.

Collaborative distances:

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

2025

Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference.

Nuo Chen, Moming Duan, Andre Huikai Lin, Qian Wang, Jiaying Wu, Bingsheng He

CoRR, August, 2025

Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration.

Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He

CoRR, August, 2025

Reasoning Models Can be Easily Hacked by Fake Reasoning Bias.

Qian Wang, Yubo Fan, Zhenheng Tang, Nuo Chen, Wenxuan Wang, Bingsheng He

CoRR, July, 2025

HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis.

Qingyun Zou, Nuo Chen, Yao Chen, Bingsheng He, Weng-Fai Wong

CoRR, July, 2025

XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision.

Nuo Chen, Andre Huikai Lin, Jiaying Wu, Junyi Hou, Zining Zhang, Qian Wang, Xidong Wang, Bingsheng He

CoRR, May, 2025

Assessing Judging Bias in Large Reasoning Models: An Empirical Study.

Qian Wang, Zhanzhi Lou, Zhenheng Tang, Nuo Chen, Xuandong Zhao, Wenxuan Zhang, Dawn Song, Bingsheng He

CoRR, April, 2025

JudgeLRM: Large Reasoning Models as a Judge.

Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He

CoRR, April, 2025

What Limits LLM-based Human Simulation: LLMs or Our Design?

Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He

CoRR, January, 2025

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria.

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

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Is Your LLM Outdated? A Deep Look at Temporal Generalization.

ChenghaoZhu ChenghaoZhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari, Benyou Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts.

Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, Yuping Zheng, Benyou Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs.

Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading.

Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He

CoRR, 2024

Evaluating LLMs at Evaluating Temporal Generalization.

Chenghao Zhu, Nuo Chen, Yufei Gao, Benyou Wang

CoRR, 2024

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People.

Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang

CoRR, 2024

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning?

Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li

Proceedings of the International Joint Conference on Neural Networks, 2024

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading.

Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Structure-aware Fine-tuning for Code Pre-trained Models.

Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.

Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.

Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.

Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao

CoRR, 2023

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.

Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li

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

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.

Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao

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

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.

Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li

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

HugNLP: A Unified and Comprehensive Library for Natural Language Processing.

Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.

Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao

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

2022

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.

Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022