17 citations · 27 across the 14 of their papers we have counts for
14 papers
SurveyLens: A Discipline-Aware Benchmark for Automatic Survey Generation
Beichen Guo, Zhiyuan Wen, Jia Gu +6
Automatic Survey Generation (ASG) aims to produce comprehensive literature surveys by retrieving, organizing, and synthesizing academic papers. Despite rapid progress in specialize…
InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System
Zhiyuan Wen, Jiannong Cao, Zian Wang +3
The exponential growth of academic literature creates urgent demands for comprehensive survey papers, yet manual writing remains time-consuming and labor-intensive. Recent advances…
Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models
Zhiyuan Wen, Yu Yang, Jiannong Cao +3
As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLM…
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
Yicong Li, Yu Yang, Jiannong Cao +3
Recent studies successfully learned static graph embeddings that are structurally fair by preventing the effectiveness disparity of high- and low-degree vertex groups in downstream…
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Jiangshu Du, Yibo Wang, Wenting Zhao +37
This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and ques…
Personality-affected Emotion Generation in Dialog Systems
Zhiyuan Wen, Jiannong Cao, Jiaxing Shen +3
Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried…
Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
Zhiyuan Wen, Jiannong Cao, Yu Yang +2
Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized servi…
Low-Resource Court Judgment Summarization for Common Law Systems
Shuaiqi Liu, Jiannong Cao, Yicong Li +2
Common law courts need to refer to similar precedents' judgments to inform their current decisions. Generating high-quality summaries of court judgment documents can facilitate leg…
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
Wenting Zhao, Ye Liu, Yao Wan +7
Task-Oriented Parsing (TOP) enables conversational assistants to interpret user commands expressed in natural language, transforming them into structured outputs that combine eleme…
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification
Zhongfen Deng, Seunghyun Yoon, Trung Bui +7
Aspect-based meeting transcript summarization aims to produce multiple summaries, each focusing on one aspect of content in a meeting transcript. It is challenging as sentences rel…
JPAVE: A Generation and Classification-based Model for Joint Product Attribute Prediction and Value Extraction
Zhongfen Deng, Hao Peng, Tao Zhang +4
Product attribute value extraction is an important task in e-Commerce which can help several downstream applications such as product search and recommendation. Most previous models…
Generating a Structured Summary of Numerous Academic Papers: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Writing a survey paper on one research topic usually needs to cover the salient content from numerous related papers, which can be modeled as a multi-document summarization (MDS) t…
Long Text and Multi-Table Summarization: Dataset and Method
Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1
Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scatt…
Automatically Select Emotion for Response via Personality-affected Emotion Transition
Wen Zhiyuan, Cao Jiannong, Yang Ruosong +2
To provide consistent emotional interaction with users, dialog systems should be capable to automatically select appropriate emotions for responses like humans. However, most exist…