Search Results for author: Yunsen Xian

Found 17 papers, 11 papers with code

Beyond the Sequence: Statistics-Driven Pre-training for Stabilizing Sequential Recommendation Model

no code implementations8 Apr 2024 Sirui Wang, Peiguang Li, Yunsen Xian, Hongzhi Zhang

The sequential recommendation task aims to predict the item that user is interested in according to his/her historical action sequence.

Attribute Sequential Recommendation

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection

no code implementations27 Feb 2024 Pei Wang, Keqing He, Yejie Wang, Xiaoshuai Song, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Out-of-domain (OOD) intent detection aims to examine whether the user's query falls outside the predefined domain of the system, which is crucial for the proper functioning of task-oriented dialogue (TOD) systems.

Intent Detection Transfer Learning

Exploiting Duality in Open Information Extraction with Predicate Prompt

1 code implementation20 Jan 2024 Zhen Chen, Jingping Liu, Deqing Yang, Yanghua Xiao, Huimin Xu, ZongYu Wang, Rui Xie, Yunsen Xian

Open information extraction (OpenIE) aims to extract the schema-free triplets in the form of (\emph{subject}, \emph{predicate}, \emph{object}) from a given sentence.

Open Information Extraction Sentence

Entity-Aspect-Opinion-Sentiment Quadruple Extraction for Fine-grained Sentiment Analysis

no code implementations28 Nov 2023 Dan Ma, Jun Xu, ZongYu Wang, Xuezhi Cao, Yunsen Xian

To facilitate research in this new task, we have constructed four datasets (Res14-EASQE, Res15-EASQE, Res16-EASQE, and Lap14-EASQE) based on the SemEval Restaurant and Laptop datasets.

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1

A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

1 code implementation14 Nov 2023 Peng Ding, Jun Kuang, Dan Ma, Xuezhi Cao, Yunsen Xian, Jiajun Chen, ShuJian Huang

Finally, we analyze the failure of LLMs defense from the perspective of prompt execution priority, and propose corresponding defense strategies.

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection

no code implementations20 Oct 2023 Pei Wang, Keqing He, Yutao Mou, Xiaoshuai Song, Yanan Wu, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

Detecting out-of-domain (OOD) intents from user queries is essential for a task-oriented dialogue system.

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT

1 code implementation16 Oct 2023 Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

The tasks of out-of-domain (OOD) intent discovery and generalized intent discovery (GID) aim to extend a closed intent classifier to open-world intent sets, which is crucial to task-oriented dialogue (TOD) systems.

In-Context Learning Intent Discovery

Towards Visual Taxonomy Expansion

1 code implementation12 Sep 2023 Tinghui Zhu, Jingping Liu, Jiaqing Liang, Haiyun Jiang, Yanghua Xiao, ZongYu Wang, Rui Xie, Yunsen Xian

Specifically, on the Chinese taxonomy dataset, our method significantly improves accuracy by 8. 75 %.

Taxonomy Expansion

Exchanging-based Multimodal Fusion with Transformer

1 code implementation5 Sep 2023 Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian

To solve these issues, in this paper, we propose a novel exchanging-based multimodal fusion model MuSE for text-vision fusion based on Transformer.

Image Captioning Multimodal Sentiment Analysis +3

Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA

1 code implementation28 Aug 2023 Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu

Knowledge Base Question Answering (KBQA) aims to answer natural language questions with factual information such as entities and relations in KBs.

Knowledge Base Question Answering Retrieval

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models

no code implementations30 May 2023 Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan

While transformer-based pre-trained language models (PLMs) have dominated a number of NLP applications, these models are heavy to deploy and expensive to use.


Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery

1 code implementation28 May 2023 Yutao Mou, Xiaoshuai Song, Keqing He, Chen Zeng, Pei Wang, Jingang Wang, Yunsen Xian, Weiran Xu

Previous methods suffer from a coupling of pseudo label disambiguation and representation learning, that is, the reliability of pseudo labels relies on representation learning, and representation learning is restricted by pseudo labels in turn.

Intent Discovery Pseudo Label +1

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank

1 code implementation26 May 2023 Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan

In this paper, we propose a novel approach, RankCSE, for unsupervised sentence representation learning, which incorporates ranking consistency and ranking distillation with contrastive learning into a unified framework.

Contrastive Learning Learning-To-Rank +4

Lifting the Curse of Capacity Gap in Distilling Language Models

1 code implementation20 May 2023 Chen Zhang, Yang Yang, Jiahao Liu, Jingang Wang, Yunsen Xian, Benyou Wang, Dawei Song

However, when the capacity gap between the teacher and the student is large, a curse of capacity gap appears, invoking a deficiency in distilling LMs.

Knowledge Distillation

AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System

no code implementations19 May 2022 Xiang Li, Xiaojiang Zhou, Yao Xiao, Peihao Huang, Dayao Chen, Sheng Chen, Yunsen Xian

Industrial search and recommendation systems mostly follow the classic multi-stage information retrieval paradigm: matching, pre-ranking, ranking, and re-ranking stages.

Information Retrieval Neural Architecture Search +3

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