no code implementations • *SEM (NAACL) 2022 • Zheng Qi, Elior Sulem, Haoyu Wang, Xiaodong Yu, Dan Roth
We address this task as a pipeline, first predicting whether two granular events mentioned in the text belong to the same complex event, independently of their position in the text, and then using this to cluster them into complex events.
no code implementations • 19 Oct 2023 • Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao
Finally, we find that the adversarial examples generated by our method are transferable across all considered LLMs.
no code implementations • 29 Sep 2023 • Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
Thirdly, we evaluate the performance of Transformers on GAUDI, particularly in handling long sequences and uncovering performance bottlenecks.
no code implementations • 9 Aug 2023 • Xiaodong Yu, Ben Zhou, Dan Roth
Information retrieval (IR) or knowledge retrieval, is a critical component for many down-stream tasks such as open-domain question answering (QA).
1 code implementation • 14 Apr 2023 • Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
Collaborative filtering (CF) has been proven to be one of the most effective techniques for recommendation.
no code implementations • 1 Nov 2022 • Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
Our evaluation with three scientific surrogates and 32 GPUs illustrates that SOLAR can achieve up to 24. 4X speedup over PyTorch Data Loader and 3. 52X speedup over state-of-the-art data loaders.
no code implementations • 30 Oct 2022 • Ben Zhou, Kyle Richardson, Xiaodong Yu, Dan Roth
Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in developing robust and interpretable NLU systems.
1 code implementation • 21 Dec 2021 • Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan
The pixel-wise mask, especially, is embedded by a group of parameters to construct a lightweight instance-aware transformer.
1 code implementation • 15 Dec 2021 • Xiaodong Yu, Wenpeng Yin, Nitish Gupta, Dan Roth
Third, we retrain and evaluate two state-of-the-art (SOTA) entity linking models, showing the challenges of event linking, and we propose an event-specific linking system EVELINK to set a competitive result for the new task.
1 code implementation • 19 Jul 2021 • Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, ShiLiang Pu
Multi-person pose estimation is an attractive and challenging task.
Ranked #4 on Multi-Person Pose Estimation on COCO minival
1 code implementation • NAACL 2021 • Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, D{\'\i}dac Sur{\'\i}s, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji
We present a new information extraction system that can automatically construct temporal event graphs from a collection of news documents from multiple sources, multiple languages (English and Spanish for our experiment), and multiple data modalities (speech, text, image and video).
no code implementations • *SEM (NAACL) 2022 • Xiaodong Yu, Wenpeng Yin, Dan Roth
Natural Language Processing tasks such as resolving the coreference of events require understanding the relations between two text snippets.
1 code implementation • EMNLP 2020 • Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth
Cross-lingual Entity Linking (XEL), the problem of grounding mentions of entities in a foreign language text into an English knowledge base such as Wikipedia, has seen a lot of research in recent years, with a range of promising techniques.
no code implementations • EMNLP 2018 • Xiaodong Yu, Stephen Mayhew, Mark Sammons, Dan Roth
Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems.
Multilingual Named Entity Recognition named-entity-recognition +2
1 code implementation • LREC 2018 • Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhili Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth