Biased Random Walk based Social Regularization for Word Embeddings. - Ziqian Zeng; Xin Liu 039; Yangqiu Song (IJCAI, 2018)

Hyper-Path-Based Representation Learning for Hyper-Networks. - Jie Huang 009; Xin Liu 039; Yangqiu Song (CIKM, 2019)

Relation Discovery with Out-of-Relation Knowledge Base as Supervision. - Yan Liang; Xin Liu 039; Jianwen Zhang; Yangqiu Song (NAACL-HLT (1), 2019)

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. - Ziqian Zeng; Wenxuan Zhou; Xin Liu 039; Yangqiu Song (NAACL-HLT (1), 2019)

Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification. - Huiru Xiao; Xin Liu 039; Yangqiu Song (WWW, 2019)

Neural Subgraph Isomorphism Counting. - Xin Liu 039; Haojie Pan; Mutian He 001; Yangqiu Song; Xin Jiang 002 (CoRR, 2019)

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. - Xin Liu 039; Jiefu Ou; Yangqiu Song; Xin Jiang 002 (IJCAI, 2020)

Neural Subgraph Isomorphism Counting. - Xin Liu 039; Haojie Pan; Mutian He 001; Yangqiu Song; Xin Jiang 002; Lifeng Shang (KDD, 2020)

ASER: A Large-scale Eventuality Knowledge Graph. - Hongming Zhang 009; Xin Liu 039; Haojie Pan; Yangqiu Song; Cane Wing-Ki Leung (WWW, 2020)

A Variational Approach to Unsupervised Sentiment Analysis. - Ziqian Zeng; Wenxuan Zhou; Xin Liu 039; Zizheng Lin; Yangqiu Song; Michael David Kuo; Wan Hang Keith Chiu (CoRR, 2020)

Exploring Discourse Structures for Argument Impact Classification. - Xin Liu 039; Jiefu Ou; Yangqiu Song; Xin Jiang 002 (ACL/IJCNLP (1), 2021)

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. - Xin Liu 039; Yangqiu Song (AAAI, 2022)

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform. - Huiru Xiao; Xin Liu 039; Yangqiu Song; Ginny Y. Wong; Simon See (EMNLP, 2022)

Boosting Graph Structure Learning with Dummy Nodes. - Xin Liu 039; Jiayang Cheng; Yangqiu Song; Xin Jiang 002 (ICML, 2022)

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities. - Hongming Zhang 009; Xin Liu 039; Haojie Pan; Haowen Ke; Jiefu Ou; Tianqing Fang; Yangqiu Song (Artif. Intell., 2022)

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (CoRR, 2022)

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition. - Chunkit Chan; Xin Liu 039; Jiayang Cheng; Zihan Li; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (Findings), 2023)

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (ACL (Findings), 2023)

Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection. - Zheye Deng; Weiqi Wang 001; Zhaowei Wang 003; Xin Liu 039; Yangqiu Song (EMNLP (Findings), 2023)

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering. - Haochen Shi; Weiqi Wang 001; Tianqing Fang; Baixuan Xu; Wenxuan Ding 001; Xin Liu 039; Yangqiu Song (EMNLP (Findings), 2023)

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering. - Weiqi Wang 001; Tianqing Fang; Wenxuan Ding 001; Baixuan Xu; Xin Liu 039; Yangqiu Song; Antoine Bosselut (EMNLP (Findings), 2023)

Self-Consistent Narrative Prompts on Abductive Natural Language Inference. - Chunkit Chan; Xin Liu 039; Tsz Ho Chan; Jiayang Cheng; Yangqiu Song; Ginny Y. Wong; Simon See (IJCNLP (1), 2023)

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints. - Jiaxin Bai; Xin Liu 039; Weiqi Wang 001; Chen Luo 003; Yangqiu Song (NeurIPS, 2023)

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. - Hejie Cui; Xinyu Fang; Zihan Zhang; Ran Xu 002; Xuan Kan; Xin Liu 039; Yue Yu 001; Manling Li; Yangqiu Song; Carl Yang 001 (NeurIPS, 2023)

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. - Xin Liu 039; Zheng Li 018; Yifan Gao 001; Jingfeng Yang 001; Tianyu Cao 001; Zhengyang Wang; Bing Yin; Yangqiu Song (NeurIPS, 2023)

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (CoRR, 2023)

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations. - Chunkit Chan; Jiayang Cheng; Weiqi Wang 001; Yuxin Jiang; Tianqing Fang; Xin Liu 039; Yangqiu Song (CoRR, 2023)

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2023)

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models. - Haoran Li 003; Dadi Guo; Donghao Li; Wei Fan 001; Qi Hu; Xin Liu 039; Chunkit Chan; Duanyi Yao; Yangqiu Song (CoRR, 2023)

Abductive Logical Reasoning on Knowledge Graphs. - Jiaxin Bai; Yicheng Wang; Tianshi Zheng; Yue Guo; Xin Liu 039; Yangqiu Song (CoRR, 2023)

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning. - Weiqi Wang 001; Tianqing Fang; Chunyang Li; Haochen Shi; Wenxuan Ding 001; Baixuan Xu; Zhaowei Wang 003; Jiaxin Bai; Xin Liu 039; Cheng Jiayang; Chunkit Chan; Yangqiu Song (ACL (1), 2024)

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models. - Haoran Li 003; Dadi Guo; Donghao Li; Wei Fan 001; Qi Hu; Xin Liu 039; Chunkit Chan; Duanyi Yao; Yuan Yao 001; Yangqiu Song (ACL (1), 2024)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation. - Jiaxin Bai; Yicheng Wang; Tianshi Zheng; Yue Guo; Xin Liu 039; Yangqiu Song (ACL (1), 2024)

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation. - Zhaowei Wang 003; Wei Fan 001; Qing Zong; Hongming Zhang 009; Sehyun Choi; Tianqing Fang; Xin Liu 039; Yangqiu Song; Ginny Y. Wong; Simon See (ACL (1), 2024)

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. - Cheng Jiayang; Lin Qiu; Chunkit Chan; Xin Liu 039; Yangqiu Song; Zheng Zhang 001 (LREC/COLING, 2024)

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations. - Chunkit Chan; Cheng Jiayang; Weiqi Wang 001; Yuxin Jiang; Tianqing Fang; Xin Liu 039; Yangqiu Song (EACL (Findings), 2024)

Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. - Chunkit Chan; Jiayang Cheng; Xin Liu 039; Yauwai Yim; Yuxin Jiang; Zheye Deng; Haoran Li 003; Yangqiu Song; Ginny Y. Wong; Simon See (ECAI, 2024)

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. - Wenxuan Ding 001; Weiqi Wang 001; Sze Heng Douglas Kwok; Minghao Liu; Tianqing Fang; Jiaxin Bai; Xin Liu 039; Changlong Yu; Zheng Li 018; Chen Luo 003; Qingyu Yin; Bing Yin; et al. (EMNLP (Findings), 2024)

NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding. - Chunkit Chan; Cheng Jiayang; Yauwai Yim; Zheye Deng; Wei Fan 001; Haoran Li 003; Xin Liu 039; Hongming Zhang 009; Weiqi Wang 001; Yangqiu Song (EMNLP (Findings), 2024)

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. - Baixuan Xu; Weiqi Wang 001; Haochen Shi; Wenxuan Ding 001; Huihao Jing; Tianqing Fang; Jiaxin Bai; Xin Liu 039; Changlong Yu; Zheng Li 018; Chen Luo 003; Qingyu Yin; et al. (EMNLP, 2024)

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph. - Zhaowei Wang 003; Haochen Shi; Weiqi Wang 001; Tianqing Fang; Hongming Zhang 009; Sehyun Choi; Xin Liu 039; Yangqiu Song (NAACL-HLT (Findings), 2024)

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. - Yilun Jin; Zheng Li 018; Chenwei Zhang; Tianyu Cao 001; Yifan Gao 001; Pratik Jayarao; Mao Li; Xin Liu 039; Ritesh Sarkhel; Xianfeng Tang; Haodong Wang; Zhengyang Wang; et al. (NeurIPS, 2024)

Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models. - Zizheng Lin; Chunkit Chan; Yangqiu Song; Xin Liu 039 (PRICAI (2), 2024)

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. - Changlong Yu; Xin Liu 039; Jefferson Maia; Yang Li 055; Tianyu Cao 001; Yifan Gao 001; Yangqiu Song; Rahul Goutam; Haiyang Zhang; Bing Yin; Zheng Li 018 (SIGMOD Conference Companion, 2024)

Towards Subgraph Isomorphism Counting with Graph Kernels. - Xin Liu 039; Weiqi Wang 001; Jiaxin Bai; Yangqiu Song (CoRR, 2024)

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning. - Xin Liu 039; Yaran Chen; Dongbin Zhao (CoRR, 2024)

On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions. - Weiqi Wang 001; Tianqing Fang; Haochen Shi; Baixuan Xu; Wenxuan Ding 001; Liyu Zhang 005; Wei Fan 001; Jiaxin Bai; Haoran Li 003; Xin Liu 039; Yangqiu Song (CoRR, 2024)

Persona Knowledge-Aligned Prompt Tuning Method for Online Debate. - Chunkit Chan; Cheng Jiayang; Xin Liu 039; Yauwai Yim; Yuxin Jiang; Zheye Deng; Haoran Li 003; Yangqiu Song; Ginny Y. Wong; Simon See (CoRR, 2024)

Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos. - Xin Liu 039; Yaran Chen (CoRR, 2024)

Intention Knowledge Graph Construction for User Intention Relation Modeling. - Jiaxin Bai; Zhaobo Wang; Junfei Cheng; Dan Yu; Zerui Huang; Weiqi Wang 001; Xin Liu 039; Chen Luo 003; Qi He 002; Yanming Zhu; Bo Li 005; Yangqiu Song (CoRR, 2024)

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. - Zhongwei Wan; Xin Liu 039; Benyou Wang; Jiezhong Qiu; Boyu Li 003; Ting Guo; Guangyong Chen; Yang Wang 002 (ACM Trans. Inf. Syst., 2024)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. - Fengran Mo; Yifan Gao 001; Chuan Meng; Xin Liu 039; Zhuofeng Wu 005; Kelong Mao; Zhengyang Wang; Pei Chen; Zheng Li 018; Xian Li; Bing Yin; Meng Jiang 001 (ACL (1), 2025)

Unsupervised Zero-Shot Reinforcement Learning via Dual-Value Forward-Backward Representation. - Jingbo Sun; Songjun Tu; Qichao Zhang; Haoran Li 010; Xin Liu 039; Yaran Chen; Ke Chen; Dongbin Zhao (ICLR, 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

DAPO: An Open-Source LLM Reinforcement Learning System at Scale. - Qiying Yu; Zheng Zhang 001; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu 039; Haibin Lin; Zhiqi Lin; et al. (CoRR, 2025)

Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery. - Xin Liu 039; Yaran Chen; Guixing Chen; Haoran Li 010; Dongbin Zhao (IEEE Trans. Cybern., 2025)

Cross-Domain Random Pretraining With Prototypes for Reinforcement Learning. - Xin Liu 039; Yaran Chen; Haoran Li 010; Boyu Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2025)

SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding. - Yuqi Yang; Weiqi Wang 001; Baixuan Xu; Wei Fan 001; Qing Zong; Chunkit Chan; Zheye Deng; Xin Liu 039; Yifan Gao 001; Changlong Yu; Chen Luo 003; Yang Li 055; et al. (CoRR, 2025)