A Unified Generation-Retrieval Framework for Image Captioning. - Chunpu Xu; Wei Zhao 033; Min Yang 007; Xiang Ao 001; Wangrong Cheng; Jinwen Tian (CIKM, 2019)

Interactive Dual Generative Adversarial Networks for Image Captioning. - Junhao Liu 001; Kai Wang 036; Chunpu Xu; Zhou Zhao 001; Ruifeng Xu 001; Ying Shen 001; Min Yang 007 (AAAI, 2020)

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning. - Chunpu Xu; Yu Li; Chengming Li; Xiang Ao 001; Min Yang 007; Jinwen Tian (COLING, 2020)

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. - Chunpu Xu; Min Yang 007; Chengming Li; Ying Shen 001; Xiang Ao 001; Ruifeng Xu 001 (AAAI, 2021)

#HowYouTagTweets: Learning User Hashtagging Preferences via Personalized Topic Attention. - Yuji Zhang 002; Yubo Zhang; Chunpu Xu; Jing Li 049; Ziyan Jiang; Baolin Peng (EMNLP (1), 2021)

Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. - Chunpu Xu; Min Yang 007; Xiang Ao 001; Ying Shen 001; Ruifeng Xu 001; Jinwen Tian (Knowl. Based Syst., 2021)

Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification. - Chunpu Xu; Jing Li 049 (EMNLP, 2022)

Understanding Social Media Cross-Modality Discourse in Linguistic Space. - Chunpu Xu; Hanzhuo Tan; Jing Li 049; Piji Li (EMNLP (Findings), 2022)

Topic-Guided Self-Introduction Generation for Social Media Users. - Chunpu Xu; Jing Li 049; Piji Li; Min Yang (ACL (Findings), 2023)

Align on the Fly: Adapting Chatbot Behavior to Established Norms. - Chunpu Xu; Steffi Chern; Ethan Chern; Ge Zhang 009; Zekun Wang; Ruibo Liu; Jing Li; Jie Fu 001; Pengfei Liu 003 (CoRR, 2023)

Muffin: Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback. - Jiashuo Wang; Chunpu Xu; Chak Tou Leong; Wenjie Li 002; Jing Li 049 (ACL (Findings), 2024)

RePALM: Popular Quote Tweet Generation via Auto-Response Augmentation. - Erxin Yu; Jing Li 049; Chunpu Xu (ACL (Findings), 2024)

PopALM: Popularity-Aligned Language Models for Social Media Trendy Response Prediction. - Erxin Yu; Jing Li 049; Chunpu Xu (LREC/COLING, 2024)

Mitigating Unhelpfulness in Emotional Support Conversations with Multifaceted AI Feedback. - Jiashuo Wang; Chunpu Xu; Chak Tou Leong; Wenjie Li 002; Jing Li 049 (CoRR, 2024)

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark. - Ge Zhang 009; Xinrun Du; Bei Chen; Yiming Liang; Tongxu Luo; Tianyu Zheng; Kang Zhu; Yuyang Cheng; Chunpu Xu; Shuyue Guo; Haoran Zhang; Xingwei Qu; et al. (CoRR, 2024)

RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. - Chi-Min Chan; Chunpu Xu; Ruibin Yuan; Hongyin Luo; Wei Xue 002; Yike Guo; Jie Fu 001 (CoRR, 2024)

Towards a Client-Centered Assessment of LLM Therapists by Client Simulation. - Jiashuo Wang; Yang Xiao; Yanran Li; Changhe Song; Chunpu Xu; Chenhao Tan; Wenjie Li (CoRR, 2024)

Large Language Models for Disease Diagnosis: A Scoping Review. - Shuang Zhou 012; Zidu Xu; Mian Zhang; Chunpu Xu; Yawen Guo; Zaifu Zhan; Sirui Ding; Jiashuo Wang; Kaishuai Xu; Yi Fang; Liqiao Xia; Jeremy Yeung; et al. (CoRR, 2024)

MIO: A Foundation Model on Multimodal Tokens. - Zekun Wang; King Zhu; Chunpu Xu; Wangchunshu Zhou; Jiaheng Liu; Yibo Zhang; Jiashuo Wang; Ning Shi; Siyu Li; Yizhi Li; Haoran Que; Zhaoxiang Zhang 001; et al. (CoRR, 2024)

Boosting Policy and Process Reward Models with Monte Carlo Tree Search in Open-Domain QA. - Chi-Min Chan; Chunpu Xu; Junqi Zhu; Jiaming Ji; Donghai Hong; Pengcheng Wen; Chunyang Jiang; Zhen Ye; Yaodong Yang 001; Wei Xue 002; Sirui Han; Yike Guo (ACL (Findings), 2025)

Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. - Yang Xiao; Jiashuo Wang; Qiancheng Xu; Changhe Song; Chunpu Xu; Yi Cheng; Wenjie Li; Pengfei Liu (ACL (1), 2025)

HICL: Hashtag-Driven In-Context Learning for Social Media Natural Language Understanding. - Hanzhuo Tan; Chunpu Xu; Jing Li 049; Yuqun Zhang; Zeyang Fang; Zeyu Chen; Baohua Lai (IEEE Trans. Neural Networks Learn. Syst., 2025)

J1: Exploring Simple Test-Time Scaling for LLM-as-a-Judge. - Chi-Min Chan; Chunpu Xu; Jiaming Ji; Zhen Ye; Pengcheng Wen; Chunyang Jiang; Yaodong Yang 001; Wei Xue 002; Sirui Han; Yike Guo (CoRR, 2025)

Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States. - Yang Xiao; Jiashuo Wang; Qiancheng Xu; Changhe Song; Chunpu Xu; Yi Cheng; Wenjie Li 002; Pengfei Liu 003 (CoRR, 2025)

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling. - Yang Xiao; Jiashuo Wang; Ruifeng Yuan; Chunpu Xu; Kaishuai Xu; Wenjie Li 002; Pengfei Liu 003 (CoRR, 2025)

Enhancing User Engagement in Socially-Driven Dialogue through Interactive LLM Alignments. - Jiashuo Wang; Kaitao Song; Chunpu Xu; Changhe Song; Yang Xiao; Dongsheng Li 002; Lili Qiu; Wenjie Li 002 (CoRR, 2025)