Imagen de Portada

Towards Detecting Contextual Real-Time Toxicity for In-Game Chat

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Zachary, Grenan-Godbout, Nicolas, Rabbany, Reihaneh
Formato:	Preprint
Publicado:	2023
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection
por: Yang, Zachary, et al.
Publicado: (2025)

Combining Confidence Elicitation and Sample-based Methods for Uncertainty Quantification in Misinformation Mitigation
por: Rivera, Mauricio, et al.
Publicado: (2024)

Uncertainty Resolution in Misinformation Detection
por: Orlovskiy, Yury, et al.
Publicado: (2024)

OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detection
por: Livernoche, Victor, et al.
Publicado: (2025)

Toxicity Detection Should Measure Contextual Harm, Not Text-Intrinsic Badness
por: Berezin, Sergei, et al.
Publicado: (2025)

PSK@EEUCA 2026: Fine-Tuning Large Language Models with Synthetic Data Augmentation for Multi-Class Toxicity Detection in Gaming Chat
por: Pulipaka, Srikar Kashyap
Publicado: (2026)

PairBench: Are Vision-Language Models Reliable at Comparing What They See?
por: Feizi, Aarash, et al.
Publicado: (2025)

Kurtosis-Guided Denoising Score Matching for Tabular Anomaly Detection
por: Livernoche, Victor, et al.
Publicado: (2026)

$\texttt{BluePrint}$: A Social Media User Dataset for LLM Persona Evaluation and Training
por: Bück-Kaeffer, Aurélien, et al.
Publicado: (2025)

Higher-Order Transformers With Kronecker-Structured Attention
por: Omranpour, Soroush, et al.
Publicado: (2024)

Token Trails: Navigating Contextual Depths in Conversational AI with ChatLLM
por: Kowsher, Md., et al.
Publicado: (2024)

Real-Time Detection of Hallucinated Entities in Long-Form Generation
por: Obeso, Oscar, et al.
Publicado: (2025)

BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects
por: Hasan, Jakir, et al.
Publicado: (2025)

Real Time Detection and Quantitative Analysis of Spurious Forgetting in Continual Learning
por: Wang, Weiwei
Publicado: (2025)

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
por: Feizi, Aarash, et al.
Publicado: (2024)

Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
por: Balestriero, Randall, et al.
Publicado: (2023)

Towards Building a Robust Toxicity Predictor
por: Bespalov, Dmitriy, et al.
Publicado: (2024)

Evaluating the Performance of ChatGPT for Spam Email Detection
por: Si, Shijing, et al.
Publicado: (2024)

Beyond Architectures: Evaluating the Role of Contextual Embeddings in Detecting Bipolar Disorder on Social Media
por: Hasan, Khalid, et al.
Publicado: (2025)

MARCO: Multi-Agent Real-time Chat Orchestration
por: Shrimal, Anubhav, et al.
Publicado: (2024)

Toxicity Detection towards Adaptability to Changing Perturbations
por: Kang, Hankun, et al.
Publicado: (2024)

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
por: Chuang, Yung-Sung, et al.
Publicado: (2024)

Batched Contextual Reinforcement: A Task-Scaling Law for Efficient Reasoning
por: Yang, Bangji, et al.
Publicado: (2026)

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
por: Xu, Austin, et al.
Publicado: (2025)

Detecting Relevant Information in High-Volume Chat Logs: Keyphrase Extraction for Grooming and Drug Dealing Forensic Analysis
por: Alves, Jeovane Honório, et al.
Publicado: (2023)

Tagengo: A Multilingual Chat Dataset
por: Devine, Peter
Publicado: (2024)

Benchmarking ChatGPT on Algorithmic Reasoning
por: McLeish, Sean, et al.
Publicado: (2024)

TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
por: Liu, Chenxi, et al.
Publicado: (2024)

Assessing the Impact of Prompting Methods on ChatGPT's Mathematical Capabilities
por: Chen, Yuhao, et al.
Publicado: (2023)

RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
por: Kagaya, Tomoyuki, et al.
Publicado: (2024)

Are Large Language Models Good Temporal Graph Learners?
por: Huang, Shenyang, et al.
Publicado: (2025)

Can we trust the evaluation on ChatGPT?
por: Aiyappa, Rachith, et al.
Publicado: (2023)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques
por: Tang, Zhengyang, et al.
Publicado: (2025)

M-QUEST -- Meme Question-Understanding Evaluation on Semantics and Toxicity
por: De Giorgis, Stefano, et al.
Publicado: (2026)

Fairness of ChatGPT
por: Li, Yunqi, et al.
Publicado: (2023)

When Models Examine Themselves: Vocabulary-Activation Correspondence in Self-Referential Processing
por: Dadfar, Zachary Pedram
Publicado: (2026)

Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
por: Minder, Julian, et al.
Publicado: (2025)

PrivacyMind: Large Language Models Can Be Contextual Privacy Protection Learners
por: Xiao, Yijia, et al.
Publicado: (2023)

Contextually Entangled Gradient Mapping for Optimized LLM Comprehension
por: Sisate, Colin, et al.
Publicado: (2025)

Teaching LLMs How to Learn with Contextual Fine-Tuning
por: Choi, Younwoo, et al.
Publicado: (2025)