Language Models over Large-Scale Knowledge Base: on Capacity, Flexibility and Reasoning for New Facts.
Qiyuan He, Yizhong Wang, Jianfei Yu, Wenya Wang. In Proceedings of the 31st International Conference on Computational Linguistics (COLING-25). Abu Dhabi, UAE. January 19-24, 2025.
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning.
Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan. In Proceedings of
the 1st Conference on Language Modeling (COLM-24). Philadelphia, PA, USA. October 7-9, 2024.
Progressive multimodal pivot learning: towards semantic discordance understanding as humans.
Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv. In ACM International Conference on
Information and Knowledge Management (CIKM-24). Boise, Idaho, USA. October 21-25, 2024
Generative Multimodal Data Augmentation for Low-Resource Multimodal Named Entity Recognition.
Ziyan Li, Jianfei Yu, Jia Yang, Wenya Wang, Li Yang, Rui Xia. In ACM International Conference on Multimedia (ACM MM).
Melbourne, Australia. October 28-November 1, 2024.
Sentiment-oriented sarcasm integration for video sentiment analysis enhancement with sarcasm assistance.
Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv. In ACM International Conference on Multimedia (ACM MM).
Melbourne, Australia. October 28-November 1, 2024.
Training Language Models to Generate Text with Citations via Fine-grained Rewards.
Chengyu Huang, Zeqiu Wu, Yushi Hu, Wenya Wang.
In Proceedings of the 62th Annual Meeting of the Association for Computational
Linguistics (ACL-24, main). Bangkok, Thailand. August 11-16, 2024.
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection.
Hui Liu, Wenya Wang, Haoru Li, Haoliang Li.
In Findings of the 62th Annual Meeting of the Association for Computational
Linguistics (ACL-24). Bangkok, Thailand. August 11-16, 2024.
Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.
Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang Xiang Ren.
In Findings of the 62th Annual Meeting of the Association for Computational
Linguistics (ACL-24). Bangkok, Thailand. August 11-16, 2024.
Adapt in Contexts: Effective Domain Adaptation via In-Context Learning.
Quanyu Long, Wenya Wang, Sinno Jialin Pan. In Proceedings of
2023 Conference on Empirical Methods in Natural Language Processing (EMNLP-23). (main)
Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements.
Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin
Choi, Hanna Hajishirzi. In Proceedings of 2023 Conference on Empirical Methods in Natural
Language Processing (EMNLP-23). (main)
Robust Domain Misinformation Detection via Multi-modal Feature Alignment
Hui Liu, Wenya Wang, Hao Sun, Anderson Rocha, and Haoliang Li. IEEE
Transactions on Information Forensics and Security, 2023.
Elaboration-Generating Commonsense Question Answering at Scale.
Wenya Wang, Vivek Srikumar, Hanna Hajishirzi, Noah A. Smith.
In Proceedings of the 61th Annual Meeting of the Association for Computational
Linguistics (ACL-23). Toronto, Canada. July 9-14, 2023. (Long paper)
Interpretable Multimodal Misinformation Detection with Logic Reasoning.
Hui Liu, Wenya Wang, Haoliang Li. In Findings of the 61th
Annual Meeting of the Association for Computational Linguistics (ACL-23). Toronto, Canada.
July 9-14, 2023.
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge
Enhancement.
Hui Liu, Wenya Wang, Haoliang Li. In
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
(EMNLP-22). (Long paper)
Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion
Extraction.
Fengmao Lv, Tao Liang, Zhihui Fei, Wenya Wang.
In IEEE Transactions on Neural Networks and Learning Systems. (TNNLS 2022)
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.
Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan. In Proceedings of the
2022 Annual Conference of the North American Chapter of the Association for Computational
Linguistics (NAACL-22). Seattle, Washington, USA. July 10-15, 2022. (Long paper)
Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 60th Annual Meeting
of the Association for Computational Linguistics (ACL-22). Dublin, Ireland. May 22-27, 2022.
(Long paper)
Variational Deep Logic Network for Joint Inference of Entities and Relations.
Wenya Wang and Sinno Jialin Pan. In Computational
Linguistics. Volume 47 (4), pages 775–812. (CL 2021)
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction
Transfer.
Tao Liang, Wenya Wang, Fengmao Lv. In IEEE
Transactions on Neural Networks and Learning Systems. Pages 1-12. (TNNLS 2021)
Deep Weighted MaxSAT for Aspect-based Opinion Extraction.
Meixi Wu,
Wenya Wang, Sinno Jialin Pan. In Proceedings of the 2020 Conference on
Empirical Methods in Natural Language Processing (EMNLP-20). (Long paper)
Integrating Deep Learning with Logic Fusion for Information Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 34th AAAI Conference
on Artificial Intelligence (AAAI-20). New York, USA. Feb. 7-12, 2020. (Full paper)
Syntactically-Meaningful and Transferable Recursive Neural Networks for Aspect and
Opinion Extraction.
Wenya Wang and Sinno Jialin Pan. In
Computational Linguistics (CL). 2019.
MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization
.
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In 33rd
Conference on Neural Information Processing Systems 2019 (NeurIPS-19). Vancouver, Canada.
Dec. 8-14, 2019. (Full paper)
Cooperative Pruning in Cross-Domain Deep Neural Network Compression.
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In Proceedings of the 28th
International Joint Conference on Artificial Intelligence (IJCAI-19). Macao, China. Aug.
10-16, 2019. (Full paper) [paper]
Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training
Data.
Shangyu Chen, Wenya Wang, Sinno Jialin Pan. In
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA.
Jan. 27 - Feb. 1, 2019. (Full paper) [paper][code]
Transferable Interactive Memory Network for Domain Adaptation in Fine-grained Opinion
Extraction.
Wenya Wang and Sinno Jialin Pan. In
Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-19). Hawaii, USA.
Jan. 27 - Feb. 1, 2019. (Full paper) [paper]
Memory Networks for Fine-grained Opinion Mining.
Wenya
Wang, Sinno Jialin Pan, Daniel Dahlmeier. In Artificial Intelligence (AIJ).
Volume 265, Pages 1-17, 2018. [paper]
Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion
Co-extraction.
Wenya Wang and Sinno Jialin Pan. In
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics
(ACL-18). Melbourne, Australia. July 15-20, 2018. (Long paper) [paper][code/data]
Transition-based Adversarial Network for Cross-lingual Aspect Extraction.
Wenya Wang and Sinno Jialin Pan. In Proceedings of the 27th International
Joint Conference on Artificial Intelligence (IJCAI-18). Stockholm, Sweden. July 13-19,
2018. (Full paper) [paper]
Coupled Multi-layer Attentions for Co-extraction of Aspect and Opinion
Terms.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier,
Xiaokui Xiao. In Proceedings of the 31st AAAI Conference on Artificial Intelligence
(AAAI-17). San Francisco, CA, USA. February 4-9, 2017. (Full paper) [paper][code/data]
Recursive Neural Conditional Random Fields for Aspect-based Sentiment
Analysis.
Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier,
Xiaokui Xiao. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language
Processing (EMNLP-16). Austin, Texas, USA. November 1-5, 2016. (Long paper) [paper][code/data]
