1 code implementation • 4 Mar 2024 • Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
Knowledge graph completion (KGC) is a widely used method to tackle incompleteness in knowledge graphs (KGs) by making predictions for missing links.
1 code implementation • 28 Feb 2024 • Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen
In this paper, we propose two model editing studies and validate them in the medical domain: (1) directly editing the factual medical knowledge and (2) editing the explanations to facts.
no code implementations • 27 Feb 2024 • Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma
As foundation models (FMs) continue to shape the landscape of AI, the in-context learning (ICL) paradigm thrives but also encounters issues such as toxicity, hallucination, disparity, adversarial vulnerability, and inconsistency.
no code implementations • 18 Feb 2024 • Zhaorun Chen, Zhuokai Zhao, Zhihong Zhu, Ruiqi Zhang, Xiang Li, Bhiksha Raj, Huaxiu Yao
Recent advancements in large language models (LLMs) have shown promise in multi-step reasoning tasks, yet their reliance on extensive manual labeling to provide procedural feedback remains a significant impediment.
no code implementations • 19 Nov 2023 • Xuxin Cheng, Bowen Cao, Qichen Ye, Zhihong Zhu, Hongxiang Li, Yuexian Zou
Specifically, in fine-tuning, we apply mutual learning and train two SLU models on the manual transcripts and the ASR transcripts, respectively, aiming to iteratively share knowledge between these two models.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • ICCV 2023 • Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou
Due to two annoying issues in video grounding: (1) the co-existence of some visual entities in both ground truth and other moments, \ie semantic overlapping; (2) only a few moments in the video are annotated, \ie sparse annotation dilemma, vanilla contrastive learning is unable to model the correlations between temporally distant moments and learned inconsistent video representations.
no code implementations • 30 Mar 2023 • Hao An, Dongsheng Chen, Weiyuan Xu, Zhihong Zhu, Yuexian Zou
However, these methods are not able to fully leverage the trigger information and even bring noise to relation extraction.
no code implementations • ICCV 2023 • Yaowei Li, Bang Yang, Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yuexian Zou
Automatic radiology report generation has attracted enormous research interest due to its practical value in reducing the workload of radiologists.
no code implementations • 12 Mar 2023 • Tengtao Song, Nuo Chen, Ji Jiang, Zhihong Zhu, Yuexian Zou
Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks.
no code implementations • 15 Jan 2023 • Hongxiang Li, Meng Cao, Xuxin Cheng, Zhihong Zhu, Yaowei Li, Yuexian Zou
Video grounding aims to locate a moment of interest matching the given query sentence from an untrimmed video.
1 code implementation • 8 Nov 2022 • Zhihong Zhu, Weiyuan Xu, Xuxin Cheng, Tengtao Song, Yuexian Zou
Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios.