CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. - Nuo Chen 002; Qiushi Sun; Renyu Zhu; Xiang Li 067; Xuesong Lu; Ming Gao 001 (EMNLP (Findings), 2022)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

HugNLP: A Unified and Comprehensive Library for Natural Language Processing. - Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Wenkang Huang; Chengyu Wang 001; Ming Gao 001 (CIKM, 2023)

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Ming Gao 001; Xiaoli Li 001; Xiang Li 067 (EMNLP (Findings), 2023)

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Xiang Li 067; Ming Gao 001 (EMNLP (Findings), 2023)

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Xiang Li 067 (EMNLP (Findings), 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. - Qiushi Sun; Chengcheng Han 004; Nuo Chen 002; Renyu Zhu; Jingyang Gong; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Ming Gao 001; Xiang Li 067 (LREC/COLING, 2024)

Structure-aware Fine-tuning for Code Pre-trained Models. - Jiayi Wu 001; Renyu Zhu; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

CryptoTrade: A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. - Yuan Li 032; Bingqiao Luo; Qian Wang 002; Nuo Chen 002; Xu Liu 014; Bingsheng He (EMNLP, 2024)

Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Xiaoli Li 001 (IJCNN, 2024)

Apollo: An Lightweight Multilingual Medical LLM towards Democratizing Medical AI to 6B People. - Xidong Wang; Nuo Chen 002; Junyin Chen; Yan Hu; Yidong Wang; Xiangbo Wu; Anningzhe Gao; Xiang Wan; Haizhou Li 001; Benyou Wang (CoRR, 2024)

Evaluating LLMs at Evaluating Temporal Generalization. - Chenghao Zhu; Nuo Chen 002; Yufei Gao; Benyou Wang (CoRR, 2024)

A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading. - Yuan Li 032; Bingqiao Luo; Qian Wang 002; Nuo Chen 002; Xu Liu 014; Bingsheng He (CoRR, 2024)

MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs. - Qian Wang 002; Tianyu Wang; Zhenheng Tang; Qinbin Li; Nuo Chen 002; Jingsheng Liang; Bingsheng He (ACL (Findings), 2025)

Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Experts. - Guorui Zheng; Xidong Wang; Juhao Liang; Nuo Chen 002; Yuping Zheng; Benyou Wang (ICLR, 2025)

Is Your LLM Outdated? A Deep Look at Temporal Generalization. - ChenghaoZhu ChenghaoZhu; Nuo Chen 002; Yufei Gao; Yunyi Zhang; Prayag Tiwari; Benyou Wang (NAACL (Long Papers), 2025)

MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria. - Wentao Ge; Shunian Chen; Hardy Chen; Nuo Chen 002; Junying Chen; Zhihong Chen; Wenya Xie; Shuo Yan; ChenghaoZhu ChenghaoZhu; Ziyue Lin; Dingjie Song; Xidong Wang; et al. (NAACL (Long Papers), 2025)

What Limits LLM-based Human Simulation: LLMs or Our Design? - Qian Wang 002; Jiaying Wu; Zhenheng Tang; Bingqiao Luo; Nuo Chen 002; Wei Chen; Bingsheng He (CoRR, 2025)

JudgeLRM: Large Reasoning Models as a Judge. - Nuo Chen 002; Zhiyuan Hu; Qingyun Zou; Jiaying Wu; Qian Wang 002; Bryan Hooi; Bingsheng He (CoRR, 2025)

Assessing Judging Bias in Large Reasoning Models: An Empirical Study. - Qian Wang 002; Zhanzhi Lou; Zhenheng Tang; Nuo Chen 002; Xuandong Zhao; Wenxuan Zhang; Dawn Song; Bingsheng He (CoRR, 2025)

XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision. - Nuo Chen 002; Andre Huikai Lin; Jiaying Wu; Junyi Hou; Zining Zhang 001; Qian Wang 002; Xidong Wang; Bingsheng He (CoRR, 2025)

HLStrans: Dataset for LLM-Driven C-to-HLS Hardware Code Synthesis. - Qingyun Zou; Nuo Chen 002; Yao Chen 008; Bingsheng He; Weng-Fai Wong (CoRR, 2025)

Reasoning Models Can be Easily Hacked by Fake Reasoning Bias. - Qian Wang 002; Yubo Fan; Zhenheng Tang; Nuo Chen 002; Wenxuan Wang; Bingsheng He (CoRR, 2025)

Beyond Brainstorming: What Drives High-Quality Scientific Ideas? Lessons from Multi-Agent Collaboration. - Nuo Chen 002; Yicheng Tong; Jiaying Wu; Minh Duc Duong; Qian Wang 002; Qingyun Zou; Bryan Hooi; Bingsheng He (CoRR, 2025)

Position: The Current AI Conference Model is Unsustainable! Diagnosing the Crisis of Centralized AI Conference. - Nuo Chen 002; Moming Duan; Andre Huikai Lin; Qian Wang 002; Jiaying Wu; Bingsheng He (CoRR, 2025)