| 2026 | ACL | DPWriter: Reinforcement Learning with Diverse Planning Branching for Creative Writing. | Qian Cao, Yahui Liu, Wei Bi, Yi Zhao, Ruihua Song, Xiting Wang, Ruiming Tang, Guorui Zhou, Han Li |
| 2026 | ACL | v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound. | Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, Yuxuan Wang, Qinrong Cui, Wei Bi, Song-Chun Zhu, Bo Zhao, Zilong Zheng |
| 2026 | ACL | DeepSynth-Eval: Objectively Evaluating Information Consolidation in Deep Survey Writing. | Hongzhi Zhang, Yuanze Hu, Tinghai Zhang, Jia Fu, Tao Wang, Junwei Jing, Zhaoxin Fan, Wei Bi, Ruiming Tang, Han Li, Guorui Zhou, Kun Gai |
| 2025 | ACL | ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. | Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang |
| 2025 | COLING | Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks. | Qintong Li, Leyang Cui, Lingpeng Kong, Wei Bi |
| 2025 | EMNLP | What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. | Gangwei Jiang, Yahui Liu, Zhaoyi Li, Wei Bi, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian |
| 2025 | ICLR | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong |
| 2025 | NAACL | Alleviating Hallucinations of Large Language Models through Induced Hallucinations. | Yue Zhang, Leyang Cui, Wei Bi, Shuming Shi |
| 2024 | ACL | GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers. | Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, Wei Bi |
| 2024 | ACL | MAGE: Machine-generated Text Detection in the Wild. | Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang |
| 2024 | ACL | Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. | Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang |
| 2024 | ACL | SEGO: Sequential Subgoal Optimization for Mathematical Problem-Solving. | Xueliang Zhao, Xinting Huang, Wei Bi, Lingpeng Kong |
| 2024 | ACL | BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. | Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong |
| 2024 | COLING | A Frustratingly Simple Decoding Method for Neural Text Generation. | Haoran Yang, Deng Cai, Huayang Li, Wei Bi, Wai Lam, Shuming Shi |
| 2024 | EMNLP | Knowledge Verification to Nip Hallucination in the Bud. | Fanqi Wan, Xinting Huang, Leyang Cui, Xiaojun Quan, Wei Bi, Shuming Shi |
| 2024 | ICASSP | Rethinking Targeted Adversarial Attacks for Neural Machine Translation. | Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung |
| 2024 | ICLR | Retrieval is Accurate Generation. | Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi, Yuexian Zou, Shuming Shi |
| 2024 | ICLR | Knowledge Fusion of Large Language Models. | Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi |
| 2023 | ACL | Effidit: An Assistant for Improving Writing Efficiency. | Shuming Shi, Enbo Zhao, Wei Bi, Deng Cai, Leyang Cui, Xinting Huang, Haiyun Jiang, Duyu Tang, Kaiqiang Song, Longyue Wang, Chenyan Huang, Guoping Huang, Yan Wang, Piji Li |
| 2023 | ACL | Pre-training Multi-party Dialogue Models with Latent Discourse Inference. | Yiyang Li, Xinting Huang, Wei Bi, Hai Zhao |
| 2023 | ACL | Explanation Regeneration via Information Bottleneck. | Qintong Li, Zhiyong Wu, Lingpeng Kong, Wei Bi |
| 2023 | ACL | Explicit Syntactic Guidance for Neural Text Generation. | Yafu Li, Leyang Cui, Jianhao Yan, Yongjing Yin, Wei Bi, Shuming Shi, Yue Zhang |
| 2023 | ACL | Multi-Grained Knowledge Retrieval for End-to-End Task-Oriented Dialog. | Fanqi Wan, Weizhou Shen, Ke Yang, Xiaojun Quan, Wei Bi |
| 2023 | CVPR | Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers. | Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei Wang |
| 2023 | EACL | Bridging the Gap between Pre-Training and Fine-Tuning for Commonsense Generation. | Haoran Yang, Yan Wang, Piji Li, Wei Bi, Wai Lam, Chen Xu |
| 2023 | EMNLP | RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation. | Yue Zhang, Leyang Cui, Enbo Zhao, Wei Bi, Shuming Shi |
| 2023 | EMNLP | Retrieval-Generation Alignment for End-to-End Task-Oriented Dialogue System. | Weizhou Shen, Yingqi Gao, Canbin Huang, Fanqi Wan, Xiaojun Quan, Wei Bi |
| 2023 | EMNLP | Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration. | Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi, Shuming Shi |
| 2023 | EMNLP | TRAMS: Training-free Memory Selection for Long-range Language Modeling. | Haofei Yu, Cunxiang Wang, Yue Zhang, Wei Bi |
| 2022 | ACL | Lexical Knowledge Internalization for Neural Dialog Generation. | Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao |
| 2022 | ACL | A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. | Yu Cao, Wei Bi, Meng Fang, Shuming Shi, Dacheng Tao |
| 2022 | ACL | Event Transition Planning for Open-ended Text Generation. | Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong |
| 2022 | NAACL | On Synthetic Data for Back Translation. | Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu |
| 2021 | AAAI | Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. | Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang |
| 2021 | ACL | Data Augmentation for Text Generation Without Any Augmented Data. | Wei Bi, Huayang Li, Jiacheng Huang |
| 2021 | ACL | REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation. | Jun Gao, Wei Bi, Ruifeng Xu, Shuming Shi |
| 2021 | ACL | Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. | Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao |
| 2021 | CIKM | Uncertainty-Aware Self-Training for Semi-Supervised Event Temporal Relation Extraction. | Pengfei Cao, Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2021 | EMNLP | Set Generation Networks for End-to-End Knowledge Base Population. | Dianbo Sui, Chenhao Wang, Yubo Chen, Kang Liu, Jun Zhao, Wei Bi |
| 2020 | AAAI | Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation. | Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | AAAI | Relevance-Promoting Language Model for Short-Text Conversation. | Xin Li, Piji Li, Wei Bi, Xiaojiang Liu, Wai Lam |
| 2020 | AAAI | Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering. | Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang |
| 2020 | ACL | Learning to Customize Model Structures for Few-shot Dialogue Generation Tasks. | Yiping Song, Zequn Liu, Wei Bi, Rui Yan, Ming Zhang |
| 2020 | ACL | Response-Anticipated Memory for On-Demand Knowledge Integration in Response Generation. | Zhiliang Tian, Wei Bi, Dongkyu Lee, Lanqing Xue, Yiping Song, Xiaojiang Liu, Nevin L. Zhang |
| 2020 | ACL | A Batch Normalized Inference Network Keeps the KL Vanishing Away. | Qile Zhu, Wei Bi, Xiaojiang Liu, Xiyao Ma, Xiaolin Li, Dapeng Wu |
| 2020 | COLING | TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. | Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | COLING | Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems. | Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang |
| 2020 | EMNLP | Dialogue Generation on Infrequent Sentence Functions via Structured Meta-Learning. | Yifan Gao, Piji Li, Wei Bi, Xiaojiang Liu, Michael R. Lyu, Irwin King |
| 2020 | EMNLP | Pretrained Language Models for Dialogue Generation with Multiple Input Sources. | Yu Cao, Wei Bi, Meng Fang, Dacheng Tao |
| 2020 | EMNLP | Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. | Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu |
| 2020 | EMNLP | Event Extraction as Machine Reading Comprehension. | Jian Liu, Yubo Chen, Kang Liu, Wei Bi, Xiaojiang Liu |
| 2020 | HCI | The Conformity Utilization on Community Resources on Base of Urban Renewal - Taking Xinhua Community of Shaoyang City as the Case. | Wei Bi, Yang Gao, Zidong He |
| 2019 | AAAI | Generating Multiple Diverse Responses for Short-Text Conversation. | Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Shuming Shi |
| 2019 | AAAI | Better Fine-Tuning via Instance Weighting for Text Classification. | Zhi Wang, Wei Bi, Yan Wang, Xiaojiang Liu |
| 2019 | ACL | Fine-Grained Sentence Functions for Short-Text Conversation. | Wei Bi, Jun Gao, Xiaojiang Liu, Shuming Shi |
| 2019 | ACL | Are Training Samples Correlated? Learning to Generate Dialogue Responses with Multiple References. | Lisong Qiu, Juntao Li, Wei Bi, Dongyan Zhao, Rui Yan |
| 2019 | ACL | Learning to Abstract for Memory-augmented Conversational Response Generation. | Zhiliang Tian, Wei Bi, Xiaopeng Li, Nevin L. Zhang |
| 2019 | ACL | Unsupervised Rewriter for Multi-Sentence Compression. | Yang Zhao, Xiaoyu Shen, Wei Bi, Akiko Aizawa |
| 2019 | EMNLP | Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework. | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Shuming Shi |
| 2019 | EMNLP | A Discrete CVAE for Response Generation on Short-Text Conversation. | Jun Gao, Wei Bi, Xiaojiang Liu, Junhui Li, Guodong Zhou, Shuming Shi |
| 2019 | NAACL | Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory. | Deng Cai, Yan Wang, Wei Bi, Zhaopeng Tu, Xiaojiang Liu, Wai Lam, Shuming Shi |
| 2018 | EMNLP | Towards Less Generic Responses in Neural Conversation Models: A Statistical Re-weighting Method. | Yahui Liu, Wei Bi, Jun Gao, Xiaojiang Liu, Jian Yao, Shuming Shi |
| 2018 | HCI | Study on Cultural and Creative Experience Model of Featured Towns. | Wei Bi, Yang Gao, Li-Yu Chen, Shu Hua Chang |
| 2018 | HCI | Applying Design Thinking in Real Estate Development. | Li-Yu Chen, Wei Bi, Yang Gao |
| 2018 | HCI | S.A.D in Education and CHEER in Practice: A Case Study of DTIT Program at NTUA. | John G. Kreifeldt, Honglin Li, Ming-Xean Sun, Wei Bi, Rungtai Lin |
| 2018 | HCI | Cross-Cultural Communication in Design Collaboration. | Rungtai Lin, Honglin Li, Jun Wu, Wei Bi |
| 2018 | ICA3PP | MoSa: A Modeling and Sentiment Analysis System for Mobile Application Big Data. | Yaocheng Zhang, Wei Ren, Tianqing Zhu, Wei Bi |
| 2018 | ICCS | Topic-Based Microblog Polarity Classification Based on Cascaded Model. | Quanchao Liu, Yue Hu, Yangfan Lei, Xiangpeng Wei, Guangyong Liu, Wei Bi |
| 2018 | UIC | Collatz Conjecture for 2^100000-1 Is True - Algorithms for Verifying Extremely Large Numbers. | Wei Ren, Simin Li, Ruiyang Xiao, Wei Bi |
| 2014 | AAAI | Multilabel Classification with Label Correlations and Missing Labels. | Wei Bi, James T. Kwok |
| 2014 | UAI | Learning to Predict from Crowdsourced Data. | Wei Bi, Liwei Wang, James T. Kwok, Zhuowen Tu |
| 2013 | ICML | Efficient Multi-label Classification with Many Labels. | Wei Bi, James Tin-Yau Kwok |
| 2012 | ICDM | Hierarchical Multilabel Classification with Minimum Bayes Risk. | Wei Bi, James T. Kwok |
| 2011 | ICML | MultiLabel Classification on Tree- and DAG-Structured Hierarchies. | Wei Bi, James T. Kwok |
| 2009 | ICDM | Transferred Feature Selection. | Wei Bi, Yuan Shi, Zhen-zhong Lan |
| 2009 | ICDM | Extending Semi-supervised Learning Methods for Inductive Transfer Learning. | Yuan Shi, Zhen-zhong Lan, Wei Liu, Wei Bi |