Cover Image

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Zhiwei, Yang, Kailai, Hovy, Eduard, Ananiadou, Sophia
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information
by: Liu, Zhiwei, et al.
Published: (2024)

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model
by: Liu, Zhiwei, et al.
Published: (2024)

FMDLlama: Financial Misinformation Detection based on Large Language Models
by: Liu, Zhiwei, et al.
Published: (2024)

Emotion Detection for Misinformation: A Review
by: Liu, Zhiwei, et al.
Published: (2023)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis
by: Liu, Zhiwei, et al.
Published: (2024)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models
by: Yang, Kailai, et al.
Published: (2024)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs
by: Liu, Zhiwei, et al.
Published: (2025)

Disentangled VAD Representations via a Variational Framework for Political Stance Detection
by: Xu, Beiyu, et al.
Published: (2025)

Selective Preference Optimization via Token-Level Reward Function Estimation
by: Yang, Kailai, et al.
Published: (2024)

A Sentiment Consolidation Framework for Meta-Review Generation
by: Li, Miao, et al.
Published: (2024)

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)

Implicit Graph, Explicit Retrieval: Towards Efficient and Interpretable Long-horizon Memory for Large Language Models
by: Zhang, Xin, et al.
Published: (2026)

Towards Interpretable Mental Health Analysis with Large Language Models
by: Yang, Kailai, et al.
Published: (2023)

ConspEmoLLM-v2: A robust and stable model to detect sentiment-transformed conspiracy theories
by: Liu, Zhiwei, et al.
Published: (2025)

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning
by: Yu, Zeping, et al.
Published: (2024)

Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models
by: Yu, Zeping, et al.
Published: (2025)

Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing
by: Yu, Zeping, et al.
Published: (2025)

Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs
by: Yu, Zeping, et al.
Published: (2025)

Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis
by: Yu, Zeping, et al.
Published: (2024)

Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering
by: Yu, Zeping, et al.
Published: (2024)

RAAR: Retrieval Augmented Agentic Reasoning for Cross-Domain Misinformation Detection
by: Liu, Zhiwei, et al.
Published: (2026)

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge
by: Cai, Yunna, et al.
Published: (2025)

SynGraph: A Dynamic Graph-LLM Synthesis Framework for Sparse Streaming User Sentiment Modeling
by: Zhang, Xin, et al.
Published: (2025)

Neuron-Level Knowledge Attribution in Large Language Models
by: Yu, Zeping, et al.
Published: (2023)

LLMs for Argument Mining: Detection, Extraction, and Relationship Classification of pre-defined Arguments in Online Comments
by: Guida, Matteo, et al.
Published: (2025)

Deep Learning based Visually Rich Document Content Understanding: A Survey
by: Ding, Yihao, et al.
Published: (2024)

From n-gram to Attention: How Model Architectures Learn and Propagate Bias in Language Modeling
by: Kabir, Mohsinul, et al.
Published: (2025)

Natural Language Processing for Cardiology: A Narrative Review
by: Yang, Kailai, et al.
Published: (2025)

Triggered: A Statistical Analysis of Environmental Influences on Extremist Groups
by: de Kock, Christine, et al.
Published: (2026)

MemAdapter: Fast Alignment across Agent Memory Paradigms via Generative Subgraph Retrieval
by: Zhang, Xin, et al.
Published: (2026)

Factual consistency evaluation of summarization in the Era of large language models
by: Luo, Zheheng, et al.
Published: (2024)

The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models
by: Luo, Zheheng, et al.
Published: (2024)

Religious Bias Landscape in Language and Text-to-Image Models: Analysis, Detection, and Debiasing Strategies
by: Abrar, Ajwad, et al.
Published: (2025)

MentraSuite: Post-Training Large Language Models for Mental Health Reasoning and Assessment
by: Xiao, Mengxi, et al.
Published: (2025)

MAGIC-VQA: Multimodal And Grounded Inference with Commonsense Knowledge for Visual Question Answering
by: Yang, Shuo, et al.
Published: (2025)

Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLMs
by: Kabir, Mohsinul, et al.
Published: (2025)

Retain or Reframe? A Computational Framework for the Analysis of Framing in News Articles and Reader Comments
by: Guida, Matteo, et al.
Published: (2025)

Article and Comment Frames Shape the Quality of Online Comments
by: Guida, Matteo, et al.
Published: (2026)

RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
by: Qin, Zhenkai, et al.
Published: (2025)

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
by: Luo, Zheheng, et al.
Published: (2024)