11 citations · 25 across the 8 of their papers we have counts for
8 papers
Policy-driven Knowledge Selection and Response Generation for Document-grounded Dialogue
Longxuan Ma, Jiapeng Li, Mingda Li +2
Document-grounded dialogue (DGD) uses documents as external knowledge for dialogue generation. Correctly understanding the dialogue context is crucial for selecting knowledge from…
Through the Lens of Core Competency: Survey on Evaluation of Large Language Models
Ziyu Zhuang, Qiguang Chen, Longxuan Ma +7
From pre-trained language model (PLM) to large language model (LLM), the field of natural language processing (NLP) has witnessed steep performance gains and wide practical uses. T…
I run as fast as a rabbit, can you? A Multilingual Simile Dialogue Dataset
Longxuan Ma, Weinan Zhang, Shuhan Zhou +3
A simile is a figure of speech that compares two different things (called the tenor and the vehicle) via shared properties. The tenor and the vehicle are usually connected with com…
PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
Long Ma, Kai Lu, Tianbo Che +3
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities in low-context situations and noisy scenarios like the presence of spelling mistakes and t…
SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation
Longxuan Ma, Ziyu Zhuang, Weinan Zhang +2
This paper introduces a novel Self-supervised Fine-grained Dialogue Evaluation framework (SelF-Eval). The core idea is to model the correlation between turn quality and the entire…
A Compare Aggregate Transformer for Understanding Document-grounded Dialogue
Longxuan Ma, Weinan Zhang, Runxin Sun +1
Unstructured documents serving as external knowledge of the dialogues help to generate more informative responses. Previous research focused on knowledge selection (KS) in the docu…
A Survey of Document Grounded Dialogue Systems (DGDS)
Longxuan Ma, Wei-Nan Zhang, Mingda Li +1
Dialogue system (DS) attracts great attention from industry and academia because of its wide application prospects. Researchers usually divide the DS according to the function. How…
Dynamic Feature Generation Network for Answer Selection
Longxuan Ma, Pengfei Wang, Lei Zhang
Extracting appropriate features to represent a corpus is an important task for textual mining. Previous attention based work usually enhance feature at the lexical level, which lac…