11 citations · 22 across the 6 of their papers we have counts for
6 papers
Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models
Qingyue Wang, Yanhe Fu, Yanan Cao +3
Recently, large language models (LLMs), such as GPT-4, stand out remarkable conversational abilities, enabling them to engage in dynamic and contextually relevant dialogues across…
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
Qingyue Wang, Liang Ding, Yanan Cao +5
Zero-shot transfer learning for Dialogue State Tracking (DST) helps to handle a variety of task-oriented dialogue domains without the cost of collecting in-domain data. Existing wo…
Moto: Enhancing Embedding with Multiple Joint Factors for Chinese Text Classification
Xunzhu Tang, Rujie Zhu, Tiezhu Sun +1
Recently, language representation techniques have achieved great performances in text classification. However, most existing representation models are specifically designed for Eng…
CKG: Dynamic Representation Based on Context and Knowledge Graph
Xunzhu Tang, Tiezhu Sun, Rujie Zhu +1
Recently, neural language representation models pre-trained on large corpus can capture rich co-occurrence information and be fine-tuned in downstream tasks to improve the performa…
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
Ruipeng Jia, Xingxing Zhang, Yanan Cao +3
In zero-shot multilingual extractive text summarization, a model is typically trained on English summarization dataset and then applied on summarization datasets of other languages…
HIN: Hierarchical Inference Network for Document-Level Relation Extraction
Hengzhu Tang, Yanan Cao, Zhenyu Zhang +4
Document-level RE requires reading, inferring and aggregating over multiple sentences. From our point of view, it is necessary for document-level RE to take advantage of multi-gran…