:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Jiang, Ye, Wang, Yimin
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2407.12879
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection
by: Jiang, Ye, et al.
Published: (2024)

Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
by: Wang, Xinyi, et al.
Published: (2023)

FaKnow: A Unified Library for Fake News Detection
by: Zhu, Yiyuan, et al.
Published: (2024)

Multi-view autoencoders for Fake News Detection
by: Pereira, Ingryd V. S. T., et al.
Published: (2025)

Large Language Models are Good Relational Learners
by: Wu, Fang, et al.
Published: (2025)

Binary Classifier Optimization for Large Language Model Alignment
by: Jung, Seungjae, et al.
Published: (2024)

Team QUST at SemEval-2023 Task 3: A Comprehensive Study of Monolingual and Multilingual Approaches for Detecting Online News Genre, Framing and Persuasion Techniques
by: Jiang, Ye
Published: (2023)

Context Over Content: Exposing Evaluation Faking in Automated Judges
by: Gupta, Manan, et al.
Published: (2026)

AfroBench: How Good are Large Language Models on African Languages?
by: Ojo, Jessica, et al.
Published: (2023)

Neighborhood-Order Learning Graph Attention Network for Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2025)

HSFN: Hierarchical Selection for Fake News Detection building Heterogeneous Ensemble
by: Coutinho, Sara B., et al.
Published: (2025)

Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models
by: Vamshi, Bodla Krishna, et al.
Published: (2026)

Groma: Localized Visual Tokenization for Grounding Multimodal Large Language Models
by: Ma, Chuofan, et al.
Published: (2024)

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions
by: Tsymbalov, Aleksandr, et al.
Published: (2025)

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
by: Wang, Hengyi, et al.
Published: (2024)

Large Language Model Enhanced Clustering for News Event Detection
by: Tarekegn, Adane Nega
Published: (2024)

Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
by: Tong, Zhao, et al.
Published: (2025)

Modality Interactive Mixture-of-Experts for Fake News Detection
by: Liu, Yifan, et al.
Published: (2025)

In-context Autoencoder for Context Compression in a Large Language Model
by: Ge, Tao, et al.
Published: (2023)

Large Language Models are Miscalibrated In-Context Learners
by: Li, Chengzu, et al.
Published: (2023)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)

Towards Visual Text Grounding of Multimodal Large Language Model
by: Li, Ming, et al.
Published: (2025)

Visual Question Decomposition on Multimodal Large Language Models
by: Zhang, Haowei, et al.
Published: (2024)

Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
by: Wang, Taihang, et al.
Published: (2024)

Fake News Detection After LLM Laundering: Measurement and Explanation
by: Das, Rupak Kumar, et al.
Published: (2025)

On Speculative Decoding for Multimodal Large Language Models
by: Gagrani, Mukul, et al.
Published: (2024)

Unified Hallucination Detection for Multimodal Large Language Models
by: Chen, Xiang, et al.
Published: (2024)

The Role of Diversity in In-Context Learning for Large Language Models
by: Xiao, Wenyang, et al.
Published: (2025)

Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
by: Li, Hongji, et al.
Published: (2025)

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
by: Xu, Xiaoman, et al.
Published: (2024)

Large Multimodal Models for Low-Resource Languages: A Survey
by: Lupascu, Marian, et al.
Published: (2025)

Concurrent Linguistic Error Detection (CLED): a New Methodology for Error Detection in Large Language Models
by: Zhu, Jinhua, et al.
Published: (2024)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
by: Hua, Wenyue, et al.
Published: (2024)

Large AI Model Empowered Multimodal Semantic Communications
by: Jiang, Feibo, et al.
Published: (2023)

What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
by: Li, Lingbo, et al.
Published: (2025)

Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification
by: Huang, Wenxuan, et al.
Published: (2024)

Measuring Social Norms of Large Language Models
by: Yuan, Ye, et al.
Published: (2024)

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
by: Xu, Xiaoyue, et al.
Published: (2024)

Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization
by: Bansal, Hritik, et al.
Published: (2024)

Detecting Memorization in Large Language Models
by: Slonski, Eduardo
Published: (2024)