Xin Liu

According to our database, Xin Liu authored at least 50 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

ACM Trans. Inf. Syst., March, 2024

Intention Knowledge Graph Construction for User Intention Relation Modeling.

Jiaxin Bai, Zhaobo Wang, Junfei Cheng, Dan Yu, Zerui Huang, Weiqi Wang, Xin Liu, Chen Luo, Qi He, Yanming Zhu, Bo Li, Yangqiu Song

CoRR, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

CoRR, 2024

Persona Knowledge-Aligned Prompt Tuning Method for Online Debate.

Chunkit Chan, Cheng Jiayang, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong, Simon See

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, Tianqing Fang, Haochen Shi, Baixuan Xu, Wenxuan Ding, Liyu Zhang, Wei Fan, Jiaxin Bai, Haoran Li, Xin Liu, Yangqiu Song

CoRR, 2024

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning.

Xin Liu, Yaran Chen, Dongbin Zhao

CoRR, 2024

Towards Subgraph Isomorphism Counting with Graph Kernels.

Xin Liu, Weiqi Wang, Jiaxin Bai, Yangqiu Song

CoRR, 2024

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.

Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models.

Zizheng Lin, Chunkit Chan, Yangqiu Song, Xin Liu

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph.

Zhaowei Wang, Haochen Shi, Weiqi Wang, Tianqing Fang, Hongming Zhang, Sehyun Choi, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.

Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding.

Chunkit Chan, Cheng Jiayang, Yauwai Yim, Zheye Deng, Wei Fan, Haoran Li, Xin Liu, Hongming Zhang, Weiqi Wang, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.

Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Audience Persona Knowledge-Aligned Prompt Tuning Method for Online Debate.

Chunkit Chan, Jiayang Cheng, Xin Liu, Yauwai Yim, Yuxin Jiang, Zheye Deng, Haoran Li, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Exploring the Potential of ChatGPT on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Cheng Jiayang, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs.

Cheng Jiayang, Lin Qiu, Chunkit Chan, Xin Liu, Yangqiu Song, Zheng Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation.

Zhaowei Wang, Wei Fan, Qing Zong, Hongming Zhang, Sehyun Choi, Tianqing Fang, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation.

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yuan Yao, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning.

Weiqi Wang, Tianqing Fang, Chunyang Li, Haochen Shi, Wenxuan Ding, Baixuan Xu, Zhaowei Wang, Jiaxin Bai, Xin Liu, Cheng Jiayang, Chunkit Chan, Yangqiu Song

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Abductive Logical Reasoning on Knowledge Graphs.

Jiaxin Bai, Yicheng Wang, Tianshi Zheng, Yue Guo, Xin Liu, Yangqiu Song

CoRR, 2023

P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models.

Haoran Li, Dadi Guo, Donghao Li, Wei Fan, Qi Hu, Xin Liu, Chunkit Chan, Duanyi Yao, Yangqiu Song

CoRR, 2023

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery.

Xin Liu, Yaran Chen, Dongbin Zhao

CoRR, 2023

ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations.

Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, Yangqiu Song

CoRR, 2023

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning.

Xin Liu, Yaran Chen, Haoran Li, Boyu Li, Dongbin Zhao

CoRR, 2023

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.

Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.

Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints.

Jiaxin Bai, Xin Liu, Weiqi Wang, Chen Luo, Yangqiu Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Self-Consistent Narrative Prompts on Abductive Natural Language Inference.

Chunkit Chan, Xin Liu, Tsz Ho Chan, Jiayang Cheng, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering.

Weiqi Wang, Tianqing Fang, Wenxuan Ding, Baixuan Xu, Xin Liu, Yangqiu Song, Antoine Bosselut

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

QADYNAMICS: Training Dynamics-Driven Synthetic QA Diagnostic for Zero-Shot Commonsense Question Answering.

Haochen Shi, Weiqi Wang, Tianqing Fang, Baixuan Xu, Wenxuan Ding, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Gold: A Global and Local-aware Denoising Framework for Commonsense Knowledge Graph Noise Detection.

Zheye Deng, Weiqi Wang, Zhaowei Wang, Xin Liu, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition.

Chunkit Chan, Xin Liu, Jiayang Cheng, Zihan Li, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.

Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin

CoRR, 2022

ASER: Towards large-scale commonsense knowledge acquisition via higher-order selectional preference over eventualities.

Hongming Zhang, Xin Liu, Haojie Pan, Haowen Ke, Jiefu Ou, Tianqing Fang, Yangqiu Song

Artif. Intell., 2022

Boosting Graph Structure Learning with Dummy Nodes.

Xin Liu, Jiayang Cheng, Yangqiu Song, Xin Jiang

Proceedings of the International Conference on Machine Learning, 2022

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform.

Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, Simon See

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching.

Xin Liu, Yangqiu Song

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Exploring Discourse Structures for Argument Impact Classification.

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Variational Approach to Unsupervised Sentiment Analysis.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu

CoRR, 2020

ASER: A Large-scale Eventuality Knowledge Graph.

Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Neural Subgraph Isomorphism Counting.

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification.

Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Neural Subgraph Isomorphism Counting.

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang

CoRR, 2019

Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification.

Huiru Xiao, Xin Liu, Yangqiu Song

Proceedings of the World Wide Web Conference, 2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Relation Discovery with Out-of-Relation Knowledge Base as Supervision.

Yan Liang, Xin Liu, Jianwen Zhang, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Hyper-Path-Based Representation Learning for Hyper-Networks.

Jie Huang, Xin Liu, Yangqiu Song

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Biased Random Walk based Social Regularization for Word Embeddings.

Ziqian Zeng, Xin Liu, Yangqiu Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018