Nuo Chen - RankMe

45 papers A* 3A 1B 1Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvoClinician: A Self-Evolving Agent for Multi-Turn Medical Diagnosis via Test-Time Evolutionary Learning. CoRR Yufei He, Juncheng Liu, Zhiyuan Hu, Yulin Chen, Yue Liu, Yuan Sui, Yibo Li, Nuo Chen, Jun Hu, Bryan Hooi, Xinxing Xu, Jiang Bian
2026	A*	`conf`	ExtendAttack: Attacking Servers of LRMs via Extending Reasoning. AAAI Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang
2026	J	`jnl`	MHRC-Bench: A Multilingual Hardware Repository-Level Code Completion benchmark. CoRR Qingyun Zou, Jiahao Cui, Nuo Chen, Bingsheng He, Weng-Fai Wong
2026	J	`jnl`	Making Bias Non-Predictive: Training Robust LLM Judges via Reinforcement Learning. CoRR Qian Wang, Xuandong Zhao, Zirui Zhang, Zhanzhi Lou, Nuo Chen, Dawn Song, Bingsheng He
2025	J	`jnl`	Assessing Judging Bias in Large Reasoning Models: An Empirical Study. CoRR Qian Wang, Zhanzhi Lou, Zhenheng Tang, Nuo Chen, Xuandong Zhao, Wenxuan Zhang, Dawn Song, Bingsheng He
2025	J	`jnl`	Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration. CoRR Nuo Chen, Yicheng Tong, Jiaying Wu, Minh Duc Duong, Qian Wang, Qingyun Zou, Bryan Hooi, Bingsheng He
2025	—	`conf`	DRBO: Mitigating Short Board Effect via Dynamic Reward Balancing in Multi-reward LLM Optimization. EMNLP (Findings) Nuo Chen, Yufei Gao, Yongnan Jin, Yan Hu, Anningzhe Gao, Lingyong Yan, Benyou Wang
2025	A*	`conf`	Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts. ICLR Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, Yuping Zheng, Benyou Wang
2025	J	`jnl`	ExtendAttack: Attacking Servers of LRMs via Extending Reasoning. CoRR Zhenhao Zhu, Yue Liu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Xinzhong Zhu, Jiaheng Zhang
2025	J	`jnl`	HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis. CoRR Qingyun Zou, Nuo Chen, Yao Chen, Bingsheng He, Weng-Fai Wong
2025	—	`conf`	Is Your LLM Outdated? A Deep Look at Temporal Generalization. NAACL (Long Papers) ChenghaoZhu ChenghaoZhu, Nuo Chen, Yufei Gao, Yunyi Zhang, Prayag Tiwari, Benyou Wang
2025	J	`jnl`	JudgeLRM: Large Reasoning Models as a Judge. CoRR Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He
2025	J	`jnl`	MELLA: Bridging Linguistic Capability and Cultural Groundedness for Low-Resource Language MLLMs. CoRR Yufei Gao, Jiaying Fei, Nuo Chen, Ruirui Chen, Guohang Yan, Yunshi Lan, Botian Shi
2025	—	`conf`	MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria. NAACL (Long Papers) 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
2025	—	`conf`	MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. ACL (Findings) Qian Wang, Tianyu Wang, Zhenheng Tang, Qinbin Li, Nuo Chen, Jingsheng Liang, Bingsheng He
2025	J	`jnl`	PaperDebugger: A Plugin-Based Multi-Agent System for In-Editor Academic Writing, Review, and Editing. CoRR Junyi Hou, Andre Huikai Lin, Nuo Chen, Yiwei Gong, Bingsheng He
2025	J	`jnl`	Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference. CoRR Nuo Chen, Moming Duan, Andre Huikai Lin, Qian Wang, Jiaying Wu, Bingsheng He
2025	J	`jnl`	Reasoning Models Can be Easily Hacked by Fake Reasoning Bias. CoRR Qian Wang, Yubo Fan, Zhenheng Tang, Nuo Chen, Wenxuan Wang, Bingsheng He
2025	J	`jnl`	What Limits LLM-based Human Simulation: LLMs or Our Design? CoRR Qian Wang, Jiaying Wu, Zhenheng Tang, Bingqiao Luo, Nuo Chen, Wei Chen, Bingsheng He
2025	J	`jnl`	XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision. CoRR Nuo Chen, Andre Huikai Lin, Jiaying Wu, Junyi Hou, Zining Zhang, Qian Wang, Xidong Wang, Bingsheng He
2024	J	`jnl`	A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. CoRR Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	J	`jnl`	Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People. CoRR Xidong Wang, Nuo Chen, Junyin Chen, Yan Hu, Yidong Wang, Xiangbo Wu, Anningzhe Gao, Xiang Wan, Haizhou Li, Benyou Wang
2024	A*	`conf`	CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. EMNLP Yuan Li, Bingqiao Luo, Qian Wang, Nuo Chen, Xu Liu, Bingsheng He
2024	J	`jnl`	Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts. CoRR Guorui Zheng, Xidong Wang, Juhao Liang, Nuo Chen, Yuping Zheng, Benyou Wang
2024	J	`jnl`	Evaluating LLMs at Evaluating Temporal Generalization. CoRR Chenghao Zhu, Nuo Chen, Yufei Gao, Benyou Wang
2024	—	`conf`	Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. LREC/COLING Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2024	B	`conf`	Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? IJCNN Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li
2024	—	`conf`	Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. EMNLP (Findings) Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling
2024	J	`jnl`	Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation. CoRR Bolei He, Nuo Chen, Xinran He, Lingyong Yan, Zhenkai Wei, Jinchang Luo, Zhen-Hua Ling
2024	—	`conf`	Structure-aware Fine-tuning for Code Pre-trained Models. LREC/COLING Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024	J	`jnl`	Structure-aware Fine-tuning for Code Pre-trained Models. CoRR Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024	—	`conf`	TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. LREC/COLING Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
2023	J	`jnl`	Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. CoRR Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao
2023	—	`conf`	Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. EMNLP (Findings) Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li
2023	A	`conf`	HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CIKM Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023	J	`jnl`	HugNLP: A Unified and Comprehensive Library for Natural Language Processing. CoRR Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao
2023	J	`jnl`	Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. CoRR Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2023	—	`conf`	Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. EMNLP (Findings) Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao
2023	J	`jnl`	TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. CoRR Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao
2023	—	`conf`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. EMNLP (Findings) Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	J	`jnl`	Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. CoRR Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023	—	`conf`	When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. ACL (Findings) Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023	J	`jnl`	When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. CoRR Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2022	—	`conf`	CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. EMNLP (Findings) Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao
2022	J	`jnl`	CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. CoRR Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao