1 code implementation • Findings (NAACL) 2022 • Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan
In this paper, we study the challenge of analytical reasoning of text and collect a new dataset consisting of questions from the Law School Admission Test from 1991 to 2016.
1 code implementation • EMNLP 2020 • Siyuan Wang, Zhongyu Wei, Zhihao Fan, Zengfeng Huang, Weijian Sun, Qi Zhang, Xuanjing Huang
Human evaluation also proves that our model is able to generate relevant and informative questions.
1 code implementation • COLING 2022 • Yinzi Li, Wei Chen, Zhongyu Wei, Yujun Huang, Chujun Wang, Siyuan Wang, Qi Zhang, Xuanjing Huang, Libo Wu
Existing research for argument representation learning mainly treats tokens in the sentence equally and ignores the implied structure information of argumentative context.
1 code implementation • 11 Mar 2024 • Yuhang Lai, Siyuan Wang, Shujun Liu, Xuanjing Huang, Zhongyu Wei
We introduce ALaRM, the first framework modeling hierarchical rewards in reinforcement learning from human feedback (RLHF), which is designed to enhance the alignment of large language models (LLMs) with human preferences.
no code implementations • 26 Feb 2024 • Yuanyuan Liang, Keren Tan, Tingyu Xie, Wenbiao Tao, Siyuan Wang, Yunshi Lan, Weining Qian
Graph Databases (Graph DB) are widely applied in various fields, including finance, social networks, and medicine.
1 code implementation • 18 Feb 2024 • Siyuan Wang, Zhuohan Long, Zhihao Fan, Zhongyu Wei, Xuanjing Huang
Towards a more scalable, robust and fine-grained evaluation, we implement six reframing operations to construct evolving instances testing LLMs against diverse queries, data noise and probing their problem-solving sub-abilities.
1 code implementation • 18 Feb 2024 • Siyuan Wang, Zhongyu Wei, Yejin Choi, Xiang Ren
Our analysis of GPT-series models over a rule subset reveals significant gaps in LLMs' logic understanding compared to human performance, especially in compositional and structural complex rules with certain bias patterns.
1 code implementation • 15 Feb 2024 • Zhihao Fan, Jialong Tang, Wei Chen, Siyuan Wang, Zhongyu Wei, Jun Xi, Fei Huang, Jingren Zhou
To simulate the procedure, we collect high-quality medical records to create patient, examiner, and medical director agents.
no code implementations • 9 Jan 2024 • Jiajun Liu, Siyuan Wang, Guangming Zhu, Liang Zhang, Ning li, Eryang Gao
We explore the performance of the model, including using styles randomly sampled from a prior normal distribution to generate images with various free-hand sketching styles, disentangling the painters' styles from known free-hand sketches to generate images with specific styles, and generating images of unknown classes that are not in the training set.
1 code implementation • 8 Jan 2024 • Huanyu Liu, JianFeng Cai, Tingjia Zhang, Hongsheng Li, Siyuan Wang, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang
Automated conversion methods are essential to overcome manual conversion challenges.
no code implementations • 21 Dec 2023 • Jing Li, Qiu-Feng Wang, Kaizhu Huang, Rui Zhang, Siyuan Wang
To train Diff-Oracle effectively, we propose to obtain pixel-level paired oracle character images (i. e., style and content images) by a pre-trained image-to-image translation model.
1 code implementation • 13 Dec 2023 • Guangming Zhu, Siyuan Wang, Tianci Wu, Liang Zhang
Humans can recognize varied sketches of a category easily by identifying the concurrence and layout of the intrinsic semantic components of the category, since humans draw free-hand sketches based a common consensus that which types of semantic components constitute each sketch category.
1 code implementation • 30 Nov 2023 • Guangming Zhu, Siyuan Wang, Qing Cheng, Kelong Wu, Hao Li, Liang Zhang
With the recent surge in the use of touchscreen devices, free-hand sketching has emerged as a promising modality for human-computer interaction.
1 code implementation • 13 Nov 2023 • Huihan Li, Yuting Ning, Zeyi Liao, Siyuan Wang, Xiang Lorraine Li, Ximing Lu, Wenting Zhao, Faeze Brahman, Yejin Choi, Xiang Ren
We further use the data generated by LINK to construct a dataset Logic-Induced-Long-Tail (LINT) that can be used to evaluate downstream models on the long-tail distribution; LINT contains 108K knowledge statements spanning four domains.
1 code implementation • 23 Oct 2023 • Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei
We propose Multiple Experts Fine-tuning Framework to build a financial large language model (LLM), DISC-FinLLM.
2 code implementations • 20 Sep 2023 • Shengbin Yue, Wei Chen, Siyuan Wang, Bingxuan Li, Chenchen Shen, Shujun Liu, Yuxuan Zhou, Yao Xiao, Song Yun, Xuanjing Huang, Zhongyu Wei
We propose DISC-LawLLM, an intelligent legal system utilizing large language models (LLMs) to provide a wide range of legal services.
no code implementations • 24 Jul 2023 • Siyuan Wang, Wenchuan Wu, Chenhui Lin, Binbin Chen
The development of energy conversion techniques enhances the coupling between the gas network and power system.
no code implementations • 2 Jun 2023 • Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang, Hongbin Suo, Yulong Wan
Self-supervised pre-trained models such as Wav2vec2, Hubert, and WavLM have been shown to significantly improve many speech tasks.
1 code implementation • 2 Jun 2023 • Haoyu Wang, Siyuan Wang, Wei-Qiang Zhang, Jinfeng Bai
Multilingual self-supervised speech representation models have greatly enhanced the speech recognition performance for low-resource languages, and the compression of these huge models has also become a crucial prerequisite for their industrial application.
1 code implementation • 23 May 2023 • Siyuan Wang, Zhongyu Wei, Meng Han, Zhihao Fan, Haijun Shan, Qi Zhang, Xuanjing Huang
The results demonstrate the effectiveness of our method on logical reasoning over KGs in both inductive and transductive settings.
no code implementations • 16 May 2023 • Siyuan Wang, Jianming Zheng, Xuejun Hu, Fei Cai, Chengyu Song, Xueshan Luo
Event detection (ED) is aimed to identify the key trigger words in unstructured text and predict the event types accordingly.
no code implementations • 6 Apr 2023 • Qiong Wu, Siyuan Wang, Pingyi Fan, Qiang Fan
Furthermore, as vehicles have different local training time due to various sizes of local data and their different computing capabilities, asynchronous federated learning (AFL) is employed to facilitate the RSU to update the global model immediately after receiving a local model to reduce the aggregation delay.
no code implementations • 21 Jan 2023 • Siyuan Wang, Zhongyu Wei, Jiarong Xu, Taishan Li, Zhihao Fan
Recent pre-trained language models (PLMs) equipped with foundation reasoning skills have shown remarkable performance on downstream complex tasks.
1 code implementation • COLING 2022 • Siyuan Wang, Zhongyu Wei, Zhihao Fan, Qi Zhang, Xuanjing Huang
In this paper, we propose an interpretable stepwise reasoning framework to incorporate both single-hop supporting sentence identification and single-hop question generation at each intermediate step, and utilize the inference of the current hop for the next until reasoning out the final result.
1 code implementation • 3 Aug 2022 • Siyuan Wang, Qiong Wu, Qiang Fan, Pingyi Fan, Jiangzhou Wang
For the traditional federated learning (FL), vehicles train the data locally to obtain a local model and then upload the local model to the RSU to update the global model, thus the data privacy can be protected through sharing model parameters instead of data.
no code implementations • 19 Jul 2022 • Jian Liu, Rui Bo, Siyuan Wang
Finally, the amount of capacity upgrade will be chosen by balancing the cost-reduction rate of the objective function on parameters and the cost of the line upgrade.
1 code implementation • 13 Jul 2022 • Junjun Pan, Siyuan Wang, Junxuan Bai, Ju Dai
The video and qualitative experimental results demonstrate that the complex motion sequences generated by our algorithm can achieve diverse and smooth motion transitions between keyframes, even for long-term synthesis.
no code implementations • 11 Jun 2022 • Zhihao Fan, Zhongyu Wei, Jingjing Chen, Siyuan Wang, Zejun Li, Jiarong Xu, Xuanjing Huang
These two steps are iteratively performed in our framework for continuous learning.
no code implementations • 17 Dec 2021 • Jiayu Ding, Siyuan Wang, Qin Chen, Zhongyu Wei
The results demonstrate significant performance reduction on both answer and supporting facts prediction, verifying the effectiveness of our reasoning chain based attack method for multi-hop reasoning models and the vulnerability of them.
1 code implementation • Findings (NAACL) 2022 • Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Jianqing Fan
We propose our TAiloring neGative Sentences with Discrimination and Correction (TAGS-DC) to generate synthetic sentences automatically as negative samples.
no code implementations • 12 Sep 2021 • Zhihao Fan, Zhongyu Wei, Zejun Li, Siyuan Wang, Haijun Shan, Xuanjing Huang, Jianqing Fan
Existing research for image text retrieval mainly relies on sentence-level supervision to distinguish matched and mismatched sentences for a query image.
no code implementations • 19 Aug 2021 • Tong Liu, Siyuan Wang, Jingchao Fu, Lei Chen, Zhongyu Wei, Yaqi Liu, Heng Ye, Liaosa Xu, Weiqiang Wan, Xuanjing Huang
Existing system dealing with online complaint provides a final decision without explanations.
1 code implementation • 2 Aug 2021 • Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan
Complex reasoning aims to draw a correct inference based on complex rules.
no code implementations • 21 Jun 2021 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Ruize Wang, Zejun Li, Haijun Shan, Xuanjing Huang
Considering that theme concepts can be learned from both images and captions, we propose two settings for their representations learning based on TTN.
2 code implementations • Findings (ACL) 2022 • Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan
Logical reasoning of text requires understanding critical logical information in the text and performing inference over them.
Ranked #7 on Reading Comprehension on ReClor
1 code implementation • 14 Apr 2021 • Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan
Analytical reasoning is an essential and challenging task that requires a system to analyze a scenario involving a set of particular circumstances and perform reasoning over it to make conclusions.
1 code implementation • NAACL 2021 • Zhihao Fan, Yeyun Gong, Dayiheng Liu, Zhongyu Wei, Siyuan Wang, Jian Jiao, Nan Duan, Ruofei Zhang, Xuanjing Huang
We therefore introduce a new layer named dynamic mask attention network (DMAN) with a learnable mask matrix which is able to model localness adaptively.
Ranked #11 on Machine Translation on WMT2014 English-German
no code implementations • COLING 2020 • Zhihao Fan, Yeyun Gong, Zhongyu Wei, Siyuan Wang, Yameng Huang, Jian Jiao, Xuanjing Huang, Nan Duan, Ruofei Zhang
Commonsense generation aims at generating plausible everyday scenario description based on a set of provided concepts.
1 code implementation • 3 Sep 2019 • Siyuan Wang, Junjie Lv, Yuanyuan Hu, Dong Liang, Minghui Zhang, Qiegen Liu
At the stage of prior learning, transformed feature images obtained by undecimated wavelet transform are stacked as an input of denoising autoencoder network (DAE).
1 code implementation • ACL 2019 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Xuanjing Huang
Existing research usually employs the architecture of CNN-RNN that views the generation as a sequential decision-making process and the entire dataset vocabulary is used as decoding space.
no code implementations • COLING 2018 • Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, Xuanjing Huang
Visual Question Generation (VQG) aims to ask natural questions about an image automatically.