no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Adapting word order from one language to another is a key problem in cross-lingual structured prediction.
no code implementations • EMNLP 2021 • Tao Ji, Yong Jiang, Tao Wang, Zhongqiang Huang, Fei Huang, Yuanbin Wu, Xiaoling Wang
Transition systems usually contain various dynamic structures (e. g., stacks, buffers).
1 code implementation • Findings (NAACL) 2022 • Senhui Zhang, Tao Ji, Wendi Ji, Xiaoling Wang
Event detection is a classic natural language processing task.
1 code implementation • 18 Apr 2024 • Jie Wang, Tao Ji, Yuanbin Wu, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang, Xiaoling Wang
Generalizing to longer sentences is important for recent Transformer-based language models.
1 code implementation • 16 Feb 2024 • Yi Lu, Xin Zhou, wei he, Jun Zhao, Tao Ji, Tao Gui, Qi Zhang, Xuanjing Huang
Instead of allowing each head to attend to the full sentence, which struggles with generalizing to longer sequences due to out-of-distribution (OOD) issues, we allow each head to process in-distribution length by selecting and attending to important context chunks.
1 code implementation • 2 Feb 2024 • Shihan Dou, Yan Liu, Haoxiang Jia, Limao Xiong, Enyu Zhou, Wei Shen, Junjie Shan, Caishuang Huang, Xiao Wang, Xiaoran Fan, Zhiheng Xi, Yuhao Zhou, Tao Ji, Rui Zheng, Qi Zhang, Xuanjing Huang, Tao Gui
The advancement of large language models (LLMs) has significantly propelled the field of code generation.
1 code implementation • 30 Jan 2024 • Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
This technique introduces a fusion network to unify the processing of outputs from different visual experts, while bridging the gap between image encoders and pre-trained LLMs.
Ranked #52 on Visual Question Answering on MM-Vet
1 code implementation • 11 Jan 2024 • Binghai Wang, Rui Zheng, Lu Chen, Yan Liu, Shihan Dou, Caishuang Huang, Wei Shen, Senjie Jin, Enyu Zhou, Chenyu Shi, Songyang Gao, Nuo Xu, Yuhao Zhou, Xiaoran Fan, Zhiheng Xi, Jun Zhao, Xiao Wang, Tao Ji, Hang Yan, Lixing Shen, Zhan Chen, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
We introduce a series of novel methods to mitigate the influence of incorrect and ambiguous preferences in the dataset and fully leverage high-quality preference data.
no code implementations • 11 Dec 2023 • Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen
They either learn to construct plans from scratch in a bottom-up manner or guide the plan generation behavior of traditional optimizer using hints.
1 code implementation • 2 Dec 2021 • Chenxiao Liu, Guanzhi Deng, Tao Ji, Difei Tang, Silai Zheng
One challenge for evaluating current sequence- or dialogue-level chatbots, such as Empathetic Open-domain Conversation Models, is to determine whether the chatbot performs in an emotionally consistent way.
1 code implementation • 15 Mar 2021 • Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan
Previous CCG supertaggers usually predict categories using multi-class classification.
1 code implementation • ACL 2019 • Tao Ji, Yuanbin Wu, Man Lan
We investigate the problem of efficiently incorporating high-order features into neural graph-based dependency parsing.
Ranked #12 on Dependency Parsing on Penn Treebank
no code implementations • CONLL 2018 • Tao Ji, Yufang Liu, Yijun Wang, Yuanbin Wu, Man Lan
We describe the graph-based dependency parser in our system (AntNLP) submitted to the CoNLL 2018 UD Shared Task.
no code implementations • CONLL 2017 • Tao Ji, Yuanbin Wu, Man Lan
We present a multilingual dependency parser with a bidirectional-LSTM (BiLSTM) feature extractor and a multi-layer perceptron (MLP) classifier.