Language models for longitudinal analysis of abusive content in Billboard Music Charts
Fuente:
arXiv
Guardado en:
| Autores principales: | Chandra, Rohitash, Suresh, Yathin, Sinha, Divyansh Raj, Jindal, Sanchit |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
por: Wang, Chen, et al.
Publicado: (2024)
por: Wang, Chen, et al.
Publicado: (2024)
Abusive text transformation using LLMs
por: Chandra, Rohitash, et al.
Publicado: (2025)
por: Chandra, Rohitash, et al.
Publicado: (2025)
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
por: Wang, Xuechun, et al.
Publicado: (2024)
por: Wang, Xuechun, et al.
Publicado: (2024)
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
por: Chandra, Rohitash, et al.
Publicado: (2025)
por: Chandra, Rohitash, et al.
Publicado: (2025)
Abusive music and song transformation using GenAI and LLMs
por: Choi, Jiyang, et al.
Publicado: (2026)
por: Choi, Jiyang, et al.
Publicado: (2026)
Large language model for Bible sentiment analysis: Sermon on the Mount
por: Vora, Mahek, et al.
Publicado: (2024)
por: Vora, Mahek, et al.
Publicado: (2024)
An evaluation of LLMs and Google Translate for translation of selected Indian languages via sentiment and semantic analyses
por: Chandra, Rohitash, et al.
Publicado: (2025)
por: Chandra, Rohitash, et al.
Publicado: (2025)
Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
por: He, Zhenghao, et al.
Publicado: (2026)
por: He, Zhenghao, et al.
Publicado: (2026)
Automated evaluation of LLMs for effective machine translation of Mandarin Chinese to English
por: Zhang, Yue, et al.
Publicado: (2026)
por: Zhang, Yue, et al.
Publicado: (2026)
Machine Learning for Detection and Analysis of Novel LLM Jailbreaks
por: Hawkins, John, et al.
Publicado: (2025)
por: Hawkins, John, et al.
Publicado: (2025)
Toward Faithful Retrieval-Augmented Generation with Sparse Autoencoders
por: Xiong, Guangzhi, et al.
Publicado: (2025)
por: Xiong, Guangzhi, et al.
Publicado: (2025)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
por: Xiong, Guangzhi, et al.
Publicado: (2026)
por: Xiong, Guangzhi, et al.
Publicado: (2026)
An evaluation of LLMs for political bias in Western media: Israel-Hamas and Ukraine-Russia wars
por: Chandra, Rohitash, et al.
Publicado: (2026)
por: Chandra, Rohitash, et al.
Publicado: (2026)
An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
por: Sands, Brendan, et al.
Publicado: (2025)
por: Sands, Brendan, et al.
Publicado: (2025)
Retrieving Counterfactuals Improves Visual In-Context Learning
por: Xiong, Guangzhi, et al.
Publicado: (2026)
por: Xiong, Guangzhi, et al.
Publicado: (2026)
Global Ease of Living Index: a machine learning framework for longitudinal analysis of major economies
por: Panat, Tanay, et al.
Publicado: (2025)
por: Panat, Tanay, et al.
Publicado: (2025)
HP-BERT: A framework for longitudinal study of Hinduphobia on social media via language models
por: Singh, Ashutosh, et al.
Publicado: (2025)
por: Singh, Ashutosh, et al.
Publicado: (2025)
ChartEditBench: Evaluating Grounded Multi-Turn Chart Editing in Multimodal Language Models
por: Kapadnis, Manav Nitin, et al.
Publicado: (2026)
por: Kapadnis, Manav Nitin, et al.
Publicado: (2026)
ChartCards: A Chart-Metadata Generation Framework for Multi-Task Chart Understanding
por: Wu, Yifan, et al.
Publicado: (2025)
por: Wu, Yifan, et al.
Publicado: (2025)
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning
por: Kabra, Sanchit, et al.
Publicado: (2025)
por: Kabra, Sanchit, et al.
Publicado: (2025)
A survey of textual cyber abuse detection using cutting-edge language models and large language models
por: Diaz-Garcia, Jose A., et al.
Publicado: (2025)
por: Diaz-Garcia, Jose A., et al.
Publicado: (2025)
Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts
por: Chen, Xiangnan, et al.
Publicado: (2025)
por: Chen, Xiangnan, et al.
Publicado: (2025)
REVEAL: Multi-turn Evaluation of Image-Input Harms for Vision LLM
por: Jindal, Madhur, et al.
Publicado: (2025)
por: Jindal, Madhur, et al.
Publicado: (2025)
Bayesian neural networks via MCMC: a Python-based tutorial
por: Chandra, Rohitash, et al.
Publicado: (2023)
por: Chandra, Rohitash, et al.
Publicado: (2023)
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
por: Goswami, Kanika, et al.
Publicado: (2025)
por: Goswami, Kanika, et al.
Publicado: (2025)
Applications of Large Language Model Reasoning in Feature Generation
por: Chandra, Dharani
Publicado: (2025)
por: Chandra, Dharani
Publicado: (2025)
ErrorMap and ErrorAtlas: Charting the Failure Landscape of Large Language Models
por: Ashury-Tahan, Shir, et al.
Publicado: (2026)
por: Ashury-Tahan, Shir, et al.
Publicado: (2026)
Art or Artifice? Large Language Models and the False Promise of Creativity
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
por: Chakrabarty, Tuhin, et al.
Publicado: (2023)
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
por: Kulkarni, Omkar, et al.
Publicado: (2024)
por: Kulkarni, Omkar, et al.
Publicado: (2024)
ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering
por: Wu, Yifan, et al.
Publicado: (2024)
por: Wu, Yifan, et al.
Publicado: (2024)
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
por: Chen, Zixin, et al.
Publicado: (2025)
por: Chen, Zixin, et al.
Publicado: (2025)
Uniform Discretized Integrated Gradients: An effective attribution based method for explaining large language models
por: Roy, Swarnava Sinha, et al.
Publicado: (2024)
por: Roy, Swarnava Sinha, et al.
Publicado: (2024)
GMLM: Bridging Graph Neural Networks and Language Models for Heterophilic Node Classification
por: Sinha, Aarush
Publicado: (2025)
por: Sinha, Aarush
Publicado: (2025)
Faithful Chart Summarization with ChaTS-Pi
por: Krichene, Syrine, et al.
Publicado: (2024)
por: Krichene, Syrine, et al.
Publicado: (2024)
Aligned at the Start: Conceptual Groupings in LLM Embeddings
por: Khatir, Mehrdad, et al.
Publicado: (2024)
por: Khatir, Mehrdad, et al.
Publicado: (2024)
DynBERG: Dynamic BERT-based Graph neural network for financial fraud detection
por: Kulkarni, Omkar, et al.
Publicado: (2025)
por: Kulkarni, Omkar, et al.
Publicado: (2025)
ChartHal: A Fine-grained Framework Evaluating Hallucination of Large Vision Language Models in Chart Understanding
por: Wang, Xingqi, et al.
Publicado: (2025)
por: Wang, Xingqi, et al.
Publicado: (2025)
Advancing Chart Question Answering with Robust Chart Component Recognition
por: Zheng, Hanwen, et al.
Publicado: (2024)
por: Zheng, Hanwen, et al.
Publicado: (2024)
Abstractive Text Summarization for Contemporary Sanskrit Prose: Issues and Challenges
por: Sinha, Shagun
Publicado: (2025)
por: Sinha, Shagun
Publicado: (2025)
The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories
por: Shah, Raj Sanjay, et al.
Publicado: (2025)
por: Shah, Raj Sanjay, et al.
Publicado: (2025)
Ejemplares similares
-
A longitudinal sentiment analysis of Sinophobia during COVID-19 using large language models
por: Wang, Chen, et al.
Publicado: (2024) -
Abusive text transformation using LLMs
por: Chandra, Rohitash, et al.
Publicado: (2025) -
Evaluation of Google Translate for Mandarin Chinese translation using sentiment and semantic analysis
por: Wang, Xuechun, et al.
Publicado: (2024) -
Longitudinal Abuse and Sentiment Analysis of Hollywood Movie Dialogues using Language Models
por: Chandra, Rohitash, et al.
Publicado: (2025) -
Abusive music and song transformation using GenAI and LLMs
por: Choi, Jiyang, et al.
Publicado: (2026)