Imagen de Portada

MultiClimate: Multimodal Stance Detection on Climate Change Videos

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Jiawen, Zuo, Longfei, Peng, Siyao, Plank, Barbara
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

EVADE: LLM-Based Explanation Generation and Validation for Error Detection in NLI
por: Zuo, Longfei, et al.
Publicado: (2025)

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
por: Pangtey, Lata, et al.
Publicado: (2025)

CLIMATELI: Evaluating Entity Linking on Climate Change Data
por: Zhou, Shijia, et al.
Publicado: (2024)

UniChange: Unifying Change Detection with Multimodal Large Language Model
por: Zhang, Xu, et al.
Publicado: (2025)

Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
por: Yuan, Xin, et al.
Publicado: (2023)

What Media Frames Reveal About Stance: A Dataset and Study about Memes in Climate Change Discourse
por: Zhou, Shijia, et al.
Publicado: (2025)

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies between Model Predictions and Human Responses in VQA
por: Lan, Jian, et al.
Publicado: (2024)

ClimateViz: A Benchmark for Statistical Reasoning and Fact Verification on Scientific Charts
por: Su, Ruiran, et al.
Publicado: (2025)

Inter-Stance: A Dyadic Multimodal Corpus for Conversational Stance Analysis
por: Zhang, Xiang, et al.
Publicado: (2026)

Towards Effective Long-Video Event Prediction via Multi-Level Event Semantics Mining
por: Peng, Bo, et al.
Publicado: (2026)

Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm
por: Tong, Jingqi, et al.
Publicado: (2025)

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
por: Luo, Gen, et al.
Publicado: (2024)

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
por: Shi, Yang, et al.
Publicado: (2025)

From Long Videos to Engaging Clips: A Human-Inspired Video Editing Framework with Multimodal Narrative Understanding
por: Wang, Xiangfeng, et al.
Publicado: (2025)

Towards Patronizing and Condescending Language in Chinese Videos: A Multimodal Dataset and Detector
por: Wang, Hongbo, et al.
Publicado: (2024)

OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding
por: Zhao, Tiancheng, et al.
Publicado: (2024)

Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
por: Hu, Kairui, et al.
Publicado: (2025)

IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
por: Ma, David, et al.
Publicado: (2025)

Multimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
por: Nazir, Maham, et al.
Publicado: (2026)

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model
por: Shafique, Bhuiyan Sanjid, et al.
Publicado: (2025)

MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment Grounding
por: Luo, Fuwen, et al.
Publicado: (2025)

VideoStudio: Generating Consistent-Content and Multi-Scene Videos
por: Long, Fuchen, et al.
Publicado: (2024)

RefereeBench: Are Video MLLMs Ready to be Multi-Sport Referees
por: Xu, Yichen, et al.
Publicado: (2026)

VidCoM: Fast Video Comprehension through Large Language Models with Multimodal Tools
por: Qi, Ji, et al.
Publicado: (2023)

VLMT: Vision-Language Multimodal Transformer for Multimodal Multi-hop Question Answering
por: Lim, Qi Zhi, et al.
Publicado: (2025)

Jailbreaking Multimodal Large Language Models using Multi-Clip Video
por: Kang, Choongwon, et al.
Publicado: (2026)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
por: Wang, Bing, et al.
Publicado: (2024)

Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals
por: Wu, Te-Lin, et al.
Publicado: (2021)

MultiMat: Multimodal Program Synthesis for Procedural Materials using Large Multimodal Models
por: Belouadi, Jonas, et al.
Publicado: (2025)

Online Misinformation Detection in Live Streaming Videos
por: Cao, Rui
Publicado: (2025)

Integrating Video and Text: A Balanced Approach to Multimodal Summary Generation and Evaluation
por: Pennec, Galann, et al.
Publicado: (2025)

Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection
por: Yang, Ruichao, et al.
Publicado: (2026)

Insight-A: Attribution-aware for Multimodal Misinformation Detection
por: Wu, Junjie, et al.
Publicado: (2025)

Unlocking Exocentric Video-Language Data for Egocentric Video Representation Learning
por: Dou, Zi-Yi, et al.
Publicado: (2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
por: Fu, Chaoyou, et al.
Publicado: (2024)

Chitranuvad: Adapting Multi-Lingual LLMs for Multimodal Translation
por: Khan, Shaharukh, et al.
Publicado: (2025)

MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning
por: Wang, Yueqian, et al.
Publicado: (2025)

Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
por: Li, Yun, et al.
Publicado: (2025)

MMR-V: What's Left Unsaid? A Benchmark for Multimodal Deep Reasoning in Videos
por: Zhu, Kejian, et al.
Publicado: (2025)

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos
por: Maity, Krishanu, et al.
Publicado: (2024)