| 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 | PanoramaRAG: Enabling Consistent Global Topic Awareness in Graph-Based RAG. | Ding Deng, Xiang Li, Yaqing Zhang, Meng Li, Xiting Wang |
| 2026 | ACL | Influence-based Online Experience Selection for Effective RLHF. | Yifan Gong, Jing Yao, Xiting Wang, Xunlong Wang, Xiaoyuan Yi, Xing Xie |
| 2026 | ACL | SOAR: Supervision from Observation for Agentic Reinforcement Learning. | Meng Li, Lei Li, Xiting Wang, Yi Yuan, Zheng Wei, Jiang Bian, Zang Li |
| 2026 | ACL | Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework. | Jiaqi Weng, Han Zheng, Hanyu Zhang, Ej Zhou, Qinqin He, Jialing Tao, Hui Xue, Zhixuan Chu, Xiting Wang |
| 2026 | ACL | Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text. | Zhihao Xu, Rumei Li, Jiahuan Li, Rongxiang Weng, Jingang Wang, Xunliang Cai, Xiting Wang |
| 2026 | ACL | Understanding Conflicts in Multi-Objective Alignment through Reward Consistency. | Zhihao Xu, Yongqi Tong, Xin Zhang, Jun Zhou, Xiting Wang |
| 2026 | ACL | PAM: Enhancing General Alignment of Large Reasoning Models through Priority-Aware Metacognition. | Zhihao Xu, Fuzhen Yang, Liang Lin, Xiting Wang |
| 2025 | AAAI | RATT: A Thought Structure for Coherent and Correct LLM Reasoning. | Jinghan Zhang, Xiting Wang, Weijieying Ren, Lu Jiang, Dongjie Wang, Kunpeng Liu |
| 2025 | AAAI | Controlling Large Language Models Through Concept Activation Vectors. | Hanyu Zhang, Xiting Wang, Chengao Li, Xiang Ao, Qing He |
| 2025 | ACL | Entropy-based Exploration Conduction for Multi-step Reasoning. | Jinghan Zhang, Xiting Wang, Fengran Mo, Yeyang Zhou, Wanfu Gao, Kunpeng Liu |
| 2025 | ACL | Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. | Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian |
| 2025 | ACL | Optimal Transport-Based Token Weighting scheme for Enhanced Preference Optimization. | Meng Li, Guangda Huzhang, Haibo Zhang, Xiting Wang, Anxiang Zeng |
| 2025 | ACL | Select, Read, and Write: A Multi-Agent Framework of Full-Text-based Related Work Generation. | Xiaochuan Liu, Ruihua Song, Xiting Wang, Xu Chen |
| 2025 | ICLR | Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation. | Wenhui Tan, Boyuan Li, Chuhao Jin, Wenbing Huang, Xiting Wang, Ruihua Song |
| 2025 | PAKDD | HuPer: Human Factors Integrated Persuasive Dialogue Models. | Lingzhen Kong, Chuhao Jin, Ruihua Song, Xiting Wang, Yu Chen |
| 2024 | ACL | Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models. | Changyu Chen, Xiting Wang, Ting-En Lin, Ang Lv, Yuchuan Wu, Xin Gao, Ji-Rong Wen, Rui Yan, Yongbin Li |
| 2024 | ACL | Persuading across Diverse Domains: a Dataset and Persuasion Large Language Model. | Chuhao Jin, Kening Ren, Lingzhen Kong, Xiting Wang, Ruihua Song, Huan Chen |
| 2024 | ACL | Prototypical Reward Network for Data-Efficient RLHF. | Jinghan Zhang, Xiting Wang, Yiqiao Jin, Changyu Chen, Xinhao Zhang, Kunpeng Liu |
| 2024 | COLING | Distillation with Explanations from Large Language Models. | Hanyu Zhang, Xiting Wang, Xiang Ao, Qing He |
| 2024 | EMNLP | BSharedRAG: Backbone Shared Retrieval-Augmented Generation for the E-commerce Domain. | Kaisi Guan, Qian Cao, Yuchong Sun, Xiting Wang, Ruihua Song |
| 2024 | EMNLP | Evaluating Readability and Faithfulness of Concept-based Explanations. | Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang |
| 2024 | NAACL | Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value. | Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie |
| 2023 | AAAI | Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes. | Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie |
| 2023 | ACL | DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation. | Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie |
| 2023 | ICML | Semi-Offline Reinforcement Learning for Optimized Text Generation. | Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan |
| 2023 | KDD | A Causality Inspired Framework for Model Interpretation. | Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen |
| 2023 | WWW | DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision. | Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha |
| 2023 | WWW | Towards Explainable Collaborative Filtering with Taste Clusters Learning. | Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie |
| 2022 | AAAI | Towards Fine-Grained Reasoning for Fake News Detection. | Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie |
| 2022 | EMNLP | Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. | Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu |
| 2022 | IJCAI | Clickbait Detection via Contrastive Variational Modelling of Text and Label. | Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie |
| 2022 | KDD | Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora. | Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan |
| 2022 | KDD | Reinforcement Subgraph Reasoning for Fake News Detection. | Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie |
| 2022 | WWW | Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning. | Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie |
| 2022 | SIGIR | ProFairRec: Provider Fairness-aware News Recommendation. | Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2021 | AAAI | Fairness-aware News Recommendation with Decomposed Adversarial Learning. | Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie |
| 2021 | ACL | PENS: A Dataset and Generic Framework for Personalized News Headline Generation. | Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie |
| 2021 | DASFAA | Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network. | Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Yan Song, Xiang Ao |
| 2021 | IJCAI | Learning Groupwise Explanations for Black-Box Models. | Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie |
| 2021 | KDD | Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. | Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie |
| 2021 | KDD | Reinforcing Pretrained Models for Generating Attractive Text Advertisements. | Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie |
| 2021 | WWW | Learning Fair Representations for Recommendation: A Graph-based Perspective. | Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang |
| 2020 | CIKM | Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. | Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu |
| 2020 | ICML | Distance Metric Learning with Joint Representation Diversification. | Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong |
| 2020 | IJCAI | Towards Explainable Conversational Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen |
| 2020 | SIGIR | Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. | Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie |
| 2019 | AAAI | Explainable Recommendation through Attentive Multi-View Learning. | Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie |
| 2019 | CIKM | STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. | Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu |
| 2019 | ICDM | CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. | Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie |
| 2019 | ICML | Towards a Deep and Unified Understanding of Deep Neural Models in NLP. | Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie |
| 2019 | IJCAI | Co-Attentive Multi-Task Learning for Explainable Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen |
| 2019 | SIGIR | A Neural Influence Diffusion Model for Social Recommendation. | Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang |
| 2018 | ICDM | A Reinforcement Learning Framework for Explainable Recommendation. | Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie |
| 2017 | IJCAI | Improving Learning-from-Crowds through Expert Validation. | Mengchen Liu, Liu Jiang, Junlin Liu, Xiting Wang, Jun Zhu, Shixia Liu |
| 2016 | AAAI | Tracking Idea Flows between Social Groups. | Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, Yangqiu Song |
| 2013 | KDD | Mining evolutionary multi-branch trees from text streams. | Xiting Wang, Shixia Liu, Yangqiu Song, Baining Guo |