output
20172026
most citedGrowth of Two-dimensional Compound Materials: Controllability, Material Quality, and Growth Mechanism

267 citations

Showing cs.CLShow all

7 papers · 1 filter

cs.CL20252 cited

Text Anomaly Detection with Simplified Isolation Kernel

Yang Cao, Sikun Yang, Yujiu Yang +2

Two-step approaches combining pre-trained large language model embeddings and anomaly detectors demonstrate strong performance in text anomaly detection by leveraging rich semantic…

cs.CL20253 cited

Context-Aware Sentiment Forecasting via LLM-based Multi-Perspective Role-Playing Agents

Fanhang Man, Huandong Wang, Jianjie Fang +4

User sentiment on social media reveals the underlying social trends, crises, and needs. Researchers have analyzed users' past messages to trace the evolution of sentiments and reco…

cs.CL20236 cited

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models

Siheng Li, Cheng Yang, Yichun Yin +6

Information-seeking conversation, which aims to help users gather information through conversation, has achieved great progress in recent years. However, the research is still stym…

cs.CL20232 cited

NewsDialogues: Towards Proactive News Grounded Conversation

Siheng Li, Yichun Yin, Cheng Yang +7

Hot news is one of the most popular topics in daily conversations. However, news grounded conversation has long been stymied by the lack of well-designed task definition and scarce…

cs.CL20213 cited

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

Hao Sun, Zhenru Lin, Chujie Zheng +2

Great research interests have been attracted to devise AI services that are able to provide mental health support. However, the lack of corpora is a main obstacle to this research,…

cs.CL20217 cited

Towards Emotional Support Dialog Systems

Siyang Liu, Chujie Zheng, Orianna Demasi +5

Emotional support is a crucial ability for many conversation scenarios, including social interactions, mental health support, and customer service chats. Following reasonable proce…