Nuo Chen

According to our database, Nuo Chen authored at least 41 papers between 2022 and 2026.

Collaborative distances:

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

2026

CrossAlpha: An Annual-Report Benchmark for Cross-Market Factor Research.

Qian Wang, Zhongyi Tong, Nuo Chen, Zhaomin Wu, Bingsheng He

CoRR, May, 2026

Concordia: Self-Improving Synthetic Tables for Federated LLMs.

Jimin Huang, Duanyu Feng, Nuo Chen, Xiaoyu Wang, Zhiqiang Zhang, Xueqing Peng, Mingquan Lin, Prayag Tiwari, Guojun Xiong, Alejandro Lopez-Lira, Sophia Ananiadou

CoRR, May, 2026

Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation.

Nuo Chen, Yicheng Tong, Yuzhe Yang, Yufei He, Xueyi Zhang, Qingyun Zou, Qian Wang, Bingsheng He

CoRR, April, 2026

Making Bias Non-Predictive: Training Robust LLM Judges via Reinforcement Learning.

Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou, Nuo Chen, Dawn Song, Bingsheng He

CoRR, February, 2026

EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning.

Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian

CoRR, January, 2026

MHRC-Bench: A Multilingual Hardware Repository-Level Code Completion benchmark.

Qingyun Zou, Jiahao Cui, Nuo Chen, Bingsheng He, Weng-Fai Wong

CoRR, January, 2026

PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing.

Junyi Hou, Andre Huikai Lin, Nuo Chen, Yiwei Gong, Bingsheng He

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaboration.

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

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs.

Yufei Gao, Jiaying Fei, Nuo Chen, Ruirui Chen, Guohang Yan, Yunshi Lan, Botian Shi

CoRR, August, 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

MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation.

Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Guojun Xiong, Zhiyang Deng, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie

CoRR, June, 2025

ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.

Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang

CoRR, June, 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

DRBO: Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization.

Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao, Lingyong Yan, Benyou Wang

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

Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation.

Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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