1 code implementation • 29 May 2023 • Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji
In our experiments, we conduct a robustness evaluation of RoBERTa models to demonstrate the effectiveness of our evaluation framework, and further show the rationality of each component in the framework.
no code implementations • 26 May 2023 • Ruixiang Tang, Dehan Kong, Longtao Huang, Hui Xue
Large language models (LLMs) have recently shown great potential for in-context learning, where LLMs learn a new task simply by conditioning on a few input-label pairs (prompts).
1 code implementation • 16 Dec 2022 • Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun
With the evergrowing sizes of pre-trained models (PTMs), it has been an emerging practice to only provide the inference APIs for users, namely model-as-a-service (MaaS) setting.
1 code implementation • 21 Oct 2022 • Ning Shi, Bin Tang, Bo Yuan, Longtao Huang, Yewen Pu, Jie Fu, Zhouhan Lin
Text editing, such as grammatical error correction, arises naturally from imperfect textual data.
1 code implementation • 21 Oct 2022 • Shengyuan Hou, Jushi Kai, Haotian Xue, Bingyu Zhu, Bo Yuan, Longtao Huang, Xinbing Wang, Zhouhan Lin
Recent works have revealed that Transformers are implicitly learning the syntactic information in its lower layers from data, albeit is highly dependent on the quality and scale of the training data.
1 code implementation • 19 Oct 2022 • Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun
We discuss the deficiencies in previous work and propose our suggestions that the research on the Security-oriented adversarial NLP (SoadNLP) should: (1) evaluate their methods on security tasks to demonstrate the real-world concerns; (2) consider real-world attackers' goals, instead of developing impractical methods.
1 code implementation • 17 Oct 2022 • Xiaohui Song, Longtao Huang, Hui Xue, Songlin Hu
Capturing emotions within a conversation plays an essential role in modern dialogue systems.
Ranked #1 on Emotion Recognition in Conversation on EmoryNLP
1 code implementation • ICASSP 2022 • Xiaohui Song, Liangjun Zang, Rong Zhang, Songlin Hu, Longtao Huang
However, the spread impact of emotions in a conversation is rarely addressed in existing researches.
Ranked #5 on Emotion Recognition in Conversation on MELD
2 code implementations • 24 Apr 2022 • Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang, Linhao Luo, Jiarun Zhang, Longtao Huang, Yuan He
Virtual try-on(VTON) aims at fitting target clothes to reference person images, which is widely adopted in e-commerce. Existing VTON approaches can be narrowly categorized into Parser-Based(PB) and Parser-Free(PF) by whether relying on the parser information to mask the persons' clothes and synthesize try-on images.
1 code implementation • ACL 2022 • Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu
However, manual verbalizers heavily depend on domain-specific prior knowledge and human efforts, while finding appropriate label words automatically still remains challenging. In this work, we propose the prototypical verbalizer (ProtoVerb) which is built directly from training data.
no code implementations • ACL 2020 • He Zhao, Longtao Huang, Rong Zhang, Quan Lu, Hui Xue
To this end, this paper proposes an end-to-end method to solve the task of Pair-wise Aspect and Opinion Terms Extraction (PAOTE).
Aspect-Based Sentiment Analysis (ABSA) Multi-Task Learning +2
1 code implementation • 9 Sep 2018 • Jiewei Lu, Zhun Fan, Ce Zheng, Jingan Feng, Longtao Huang, Wenji Li, Erik D. Goodman
Telemedicine, which has great potential to alleviate the growing demand of the diagnosis of ophthalmologic diseases, is an effective method to achieve timely strabismus detection.