39 citations · 307 across the 48 of their papers we have counts for
49 papers
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
Jiahuan Li, Shujian Huang, Aarron Ching +2
Large language models demonstrate reasonable multilingual abilities, despite predominantly English-centric pretraining. However, the spontaneous multilingual alignment in these mod…
Multi-Candidate Speculative Decoding
Sen Yang, Shujian Huang, Xinyu Dai +1
Large language models have shown impressive capabilities across a variety of NLP tasks, yet their generating text autoregressively is time-consuming. One way to speed them up is sp…
Make BERT-based Chinese Spelling Check Model Enhanced by Layerwise Attention and Gaussian Mixture Model
Yongchang Cao, Liang He, Zhen Wu +1
BERT-based models have shown a remarkable ability in the Chinese Spelling Check (CSC) task recently. However, traditional BERT-based methods still suffer from two limitations. Firs…
Dynamic Demonstrations Controller for In-Context Learning
Fei Zhao, Taotian Pang, Zhen Wu +3
In-context learning (ICL) is a new paradigm for natural language processing (NLP), where a large language model (LLM) observes a small number of demonstrations and a test instance…
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic Corpora
Kanzhi Cheng, Zheng Ma, Shi Zong +3
Generating visually grounded image captions with specific linguistic styles using unpaired stylistic corpora is a challenging task, especially since we expect stylized captions wit…
Measuring Your ASTE Models in The Wild: A Diversified Multi-domain Dataset For Aspect Sentiment Triplet Extraction
Ting Xu, Huiyun Yang, Zhen Wu +3
Aspect Sentiment Triplet Extraction (ASTE) is widely used in various applications. However, existing ASTE datasets are limited in their ability to represent real-world scenarios, h…
An Empirical Study and Improvement for Speech Emotion Recognition
Zhen Wu, Yizhe Lu, Xinyu Dai
Multimodal speech emotion recognition aims to detect speakers' emotions from audio and text. Prior works mainly focus on exploiting advanced networks to model and fuse different mo…
Structure-Unified M-Tree Coding Solver for MathWord Problem
Bin Wang, Jiangzhou Ju, Yang Fan +3
As one of the challenging NLP tasks, designing math word problem (MWP) solvers has attracted increasing research attention for the past few years. In previous work, models designed…
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective
Zheng Ma, Shi Zong, Mianzhi Pan +4
In recent years, vision and language pre-training (VLP) models have advanced the state-of-the-art results in a variety of cross-modal downstream tasks. Aligning cross-modal semanti…
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao, Yuchen Shen, Zhen Wu +1
Multi-Label Few-Shot Aspect Category Detection (FS-ACD) is a new sub-task of aspect-based sentiment analysis, which aims to detect aspect categories accurately with limited trainin…
Zero-Shot 3D Drug Design by Sketching and Generating
Siyu Long, Yi Zhou, Xinyu Dai +1
Drug design is a crucial step in the drug discovery cycle. Recently, various deep learning-based methods design drugs by generating novel molecules from scratch, avoiding traversin…
A Numerical Reasoning Question Answering System with Fine-grained Retriever and the Ensemble of Multiple Generators for FinQA
Bin Wang, Jiangzhou Ju, Yunlin Mao +3
The numerical reasoning in the financial domain -- performing quantitative analysis and summarizing the information from financial reports -- can greatly increase business efficien…
Analyzing the Intensity of Complaints on Social Media
Ming Fang, Shi Zong, Jing Li +3
Complaining is a speech act that expresses a negative inconsistency between reality and human expectations. While prior studies mostly focus on identifying the existence or the typ…
-GLAT: Glancing at Latent Variables for Parallel Text Generation
Yu Bao, Hao Zhou, Shujian Huang +5
Recently, parallel text generation has received widespread attention due to its success in generation efficiency. Although many advanced techniques are proposed to improve its gene…
Modeling Users' Contextualized Page-wise Feedback for Click-Through Rate Prediction in E-commerce Search
Zhifang Fan, Dan Ou, Yulong Gu +7
Modeling user's historical feedback is essential for Click-Through Rate Prediction in personalized search and recommendation. Existing methods usually only model users' positive fe…
Energy-based Unknown Intent Detection with Data Manipulation
Yawen Ouyang, Jiasheng Ye, Yu Chen +3
Unknown intent detection aims to identify the out-of-distribution (OOD) utterance whose intent has never appeared in the training set. In this paper, we propose using energy scores…
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost
Zhen Wu, Lijun Wu, Qi Meng +5
Transformer architecture achieves great success in abundant natural language processing tasks. The over-parameterization of the Transformer model has motivated plenty of works to a…
Non-Autoregressive Translation by Learning Target Categorical Codes
Yu Bao, Shujian Huang, Tong Xiao +3
Non-autoregressive Transformer is a promising text generation model. However, current non-autoregressive models still fall behind their autoregressive counterparts in translation q…
Dual Side Deep Context-aware Modulation for Social Recommendation
Bairan Fu, Wenming Zhang, Guangneng Hu +3
Social recommendation is effective in improving the recommendation performance by leveraging social relations from online social networking platforms. Social relations among users…
Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension
Siyu Long, Ran Wang, Kun Tao +2
Machine reading comprehension (MRC) is the task that asks a machine to answer questions based on a given context. For Chinese MRC, due to the non-literal and non-compositional sema…
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction
Zhen Wu, Chengcan Ying, Fei Zhao +3
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extracting aspect terms and opinion terms from review in the form of opinion pairs or additionally extracting sentime…
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis
Zhen Wu, Chengcan Ying, Xinyu Dai +2
Aspect-based sentiment analysis (ABSA) aims at analyzing the sentiment of a given aspect in a sentence. Recently, neural network-based methods have achieved promising results in ex…
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification
Chengcan Ying, Zhen Wu, Xinyu Dai +2
Aspect-level sentiment classification (ALSC) and aspect oriented opinion words extraction (AOWE) are two highly relevant aspect-based sentiment analysis (ABSA) subtasks. They respe…
Attention Transfer Network for Aspect-level Sentiment Classification
Fei Zhao, Zhen Wu, Xinyu Dai
Aspect-level sentiment classification (ASC) aims to detect the sentiment polarity of a given opinion target in a sentence. In neural network-based methods for ASC, most works emplo…