most citedThe MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

42 citations · 130 across the 11 of their papers we have counts for

collaborators

16 papers

cs.CL2024

Towards Faithful Natural Language Explanations: A Study Using Activation Patching in Large Language Models

Wei Jie Yeo, Ranjan Satapathy, Erik Cambria

Large Language Models (LLMs) are capable of generating persuasive Natural Language Explanations (NLEs) to justify their answers. However, the faithfulness of these explanations sho…

cs.CL202413 cited

XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Erik Cambria, Lorenzo Malandri, Fabio Mercorio +2

In this survey, we address the key challenges in Large Language Models (LLM) research, focusing on the importance of interpretability. Driven by increasing interest from AI and bus…

cs.CL2024

Prompted Aspect Key Point Analysis for Quantitative Review Summarization

An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh +1

Key Point Analysis (KPA) aims for quantitative summarization that provides key points (KPs) as succinct textual summaries and quantities measuring their prevalence. KPA studies for…

cs.MM20242 cited

EmpathyEar: An Open-source Avatar Multimodal Empathetic Chatbot

Hao Fei, Han Zhang, Bin Wang +3

This paper introduces EmpathyEar, a pioneering open-source, avatar-based multimodal empathetic chatbot, to fill the gap in traditional text-only empathetic response generation (ERG…

cs.AI20242 cited

The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition

Shahin Amiriparian, Lukas Christ, Alexander Kathan +8

The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge (MuSe-P…

cs.CL2023

A Survey on Semantic Processing Techniques

Rui Mao, Kai He, Xulang Zhang +4

Semantic processing is a fundamental research domain in computational linguistics. In the era of powerful pre-trained language models and large language models, the advancement of…