Cover Image

ToxVidLM: A Multimodal Framework for Toxicity Detection in Code-Mixed Videos

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maity, Krishanu, Poornash, A. S., Saha, Sriparna, Bhattacharyya, Pushpak
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unveiling the Invisible: Captioning Videos with Metaphors
by: Kalarani, Abisek Rajakumar, et al.
Published: (2024)

Enhancing Adverse Drug Event Detection with Multimodal Dataset: Corpus Creation and Model Development
by: Sahoo, Pranab, et al.
Published: (2024)

Unlocking Financial Insights: An advanced Multimodal Summarization with Multimodal Output Framework for Financial Advisory Videos
by: Das, Sarmistha, et al.
Published: (2025)

Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions
by: Ghosh, Akash, et al.
Published: (2024)

VidEgoThink: Assessing Egocentric Video Understanding Capabilities for Embodied AI
by: Cheng, Sijie, et al.
Published: (2024)

Explain Thyself Bully: Sentiment Aided Cyberbullying Detection with Explanation
by: Maity, Krishanu, et al.
Published: (2024)

CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
by: Poppi, Tobia, et al.
Published: (2026)

SurgVidLM: Towards Multi-grained Surgical Video Understanding with Large Language Model
by: Wang, Guankun, et al.
Published: (2025)

CoPE-VideoLM: Leveraging Codec Primitives For Efficient Video Language Modeling
by: Sarkar, Sayan Deb, et al.
Published: (2026)

InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions
by: Zhang, Pan, et al.
Published: (2024)

When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset
by: Das, Sarmistha, et al.
Published: (2025)

Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
by: Yun, Sukmin, et al.
Published: (2024)

MMGeoLM: Hard Negative Contrastive Learning for Fine-Grained Geometric Understanding in Large Multimodal Models
by: Sun, Kai, et al.
Published: (2025)

SafeVid: Toward Safety Aligned Video Large Multimodal Models
by: Wang, Yixu, et al.
Published: (2025)

Meme-ingful Analysis: Enhanced Understanding of Cyberbullying in Memes Through Multimodal Explanations
by: Jha, Prince, et al.
Published: (2024)

RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages
by: Kashid, Harshvivek, et al.
Published: (2024)

xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs
by: Ryoo, Michael S., et al.
Published: (2024)

VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
by: Jiang, Lingjie, et al.
Published: (2025)

AdaVid: Adaptive Video-Language Pretraining
by: Patel, Chaitanya, et al.
Published: (2025)

Yes, this is what I was looking for! Towards Multi-modal Medical Consultation Concern Summary Generation
by: Tiwari, Abhisek, et al.
Published: (2024)

InstructVid2Vid: Controllable Video Editing with Natural Language Instructions
by: Qin, Bosheng, et al.
Published: (2023)

A Comprehensive Survey of Hallucination in Large Language, Image, Video and Audio Foundation Models
by: Sahoo, Pranab, et al.
Published: (2024)

CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models
by: Li, Jingyao, et al.
Published: (2025)

Vid-LLM: A Compact Video-based 3D Multimodal LLM with Reconstruction-Reasoning Synergy
by: Chen, Haijier, et al.
Published: (2025)

AdaCodec: A Predictive Visual Code for Video MLLMs
by: Hou, Haowen, et al.
Published: (2026)

VidVec: Unlocking Video MLLM Embeddings for Video-Text Retrieval
by: Tzachor, Issar, et al.
Published: (2026)

CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
by: Chen, Zeyu, et al.
Published: (2026)

UniCode: Learning a Unified Codebook for Multimodal Large Language Models
by: Zheng, Sipeng, et al.
Published: (2024)

MathCoder-VL: Bridging Vision and Code for Enhanced Multimodal Mathematical Reasoning
by: Wang, Ke, et al.
Published: (2025)

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos
by: Song, Tingyu, et al.
Published: (2025)

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

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

Can Video Large Multimodal Models Think Like Doubters-or Double-Down: A Study on Defeasible Video Entailment
by: Zhang, Yue, et al.
Published: (2025)

BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations
by: Feng, Weixi, et al.
Published: (2025)

Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
by: Saha, Pramit, et al.
Published: (2024)

CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion
by: Yu, Shoubin, et al.
Published: (2024)

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
by: Fu, Xingyu, et al.
Published: (2025)

GUI-World: A Video Benchmark and Dataset for Multimodal GUI-oriented Understanding
by: Chen, Dongping, et al.
Published: (2024)

VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?
by: Tang, Yolo Y., et al.
Published: (2024)

RelightVid: Temporal-Consistent Diffusion Model for Video Relighting
by: Fang, Ye, et al.
Published: (2025)