Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore's Low-Resource Languages
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Yujia, Hee, Ming Shan, Nakov, Preslav, Lee, Roy Ka-Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
by: Ng, Ri Chi, et al.
Published: (2024)
by: Ng, Ri Chi, et al.
Published: (2024)
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models
by: Hee, Ming Shan, et al.
Published: (2024)
by: Hee, Ming Shan, et al.
Published: (2024)
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
by: Wu, Yuhao, et al.
Published: (2024)
by: Wu, Yuhao, et al.
Published: (2024)
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
by: Hee, Ming Shan, et al.
Published: (2025)
by: Hee, Ming Shan, et al.
Published: (2025)
SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
by: Ng, Ri Chi, et al.
Published: (2026)
by: Ng, Ri Chi, et al.
Published: (2026)
Exploring Language Model Generalization in Low-Resource Extractive QA
by: Sengupta, Saptarshi, et al.
Published: (2024)
by: Sengupta, Saptarshi, et al.
Published: (2024)
Toxicity-Aware Few-Shot Prompting for Low-Resource Singlish Translation
by: Ge, Ziyu, et al.
Published: (2025)
by: Ge, Ziyu, et al.
Published: (2025)
Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning
by: Hee, Ming Shan, et al.
Published: (2024)
by: Hee, Ming Shan, et al.
Published: (2024)
HateXScore: A Metric Suite for Evaluating Reasoning Quality in Hate Speech Explanations
by: Hu, Yujia, et al.
Published: (2026)
by: Hu, Yujia, et al.
Published: (2026)
ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety
by: Bates, Luke, et al.
Published: (2025)
by: Bates, Luke, et al.
Published: (2025)
UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases
by: Tomar, Raj Vardhan, et al.
Published: (2025)
by: Tomar, Raj Vardhan, et al.
Published: (2025)
Rethinking STS and NLI in Large Language Models
by: Wang, Yuxia, et al.
Published: (2023)
by: Wang, Yuxia, et al.
Published: (2023)
Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models
by: Gao, Lang, et al.
Published: (2024)
by: Gao, Lang, et al.
Published: (2024)
DUAL-Bench: Measuring Over-Refusal and Robustness in Vision-Language Models
by: Ren, Kaixuan, et al.
Published: (2025)
by: Ren, Kaixuan, et al.
Published: (2025)
Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition
by: Alhindi, Tariq, et al.
Published: (2023)
by: Alhindi, Tariq, et al.
Published: (2023)
Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh
by: Laiyk, Nurkhan, et al.
Published: (2025)
by: Laiyk, Nurkhan, et al.
Published: (2025)
Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)
by: Su, Jinyan, et al.
Published: (2023)
InstructAV: Instruction Fine-tuning Large Language Models for Authorship Verification
by: Hu, Yujia, et al.
Published: (2024)
by: Hu, Yujia, et al.
Published: (2024)
Resource Consumption Red-Teaming for Large Vision-Language Models
by: Gao, Haoran, et al.
Published: (2025)
by: Gao, Haoran, et al.
Published: (2025)
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
by: Xiao, Yunze, et al.
Published: (2024)
by: Xiao, Yunze, et al.
Published: (2024)
Safe at the Margins: A General Approach to Safety Alignment in Low-Resource English Languages -- A Singlish Case Study
by: Lim, Isaac, et al.
Published: (2025)
by: Lim, Isaac, et al.
Published: (2025)
Code-Switching Red-Teaming: LLM Evaluation for Safety and Multilingual Understanding
by: Yoo, Haneul, et al.
Published: (2024)
by: Yoo, Haneul, et al.
Published: (2024)
Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback
by: Afzal, Osama Mohammed, et al.
Published: (2025)
by: Afzal, Osama Mohammed, et al.
Published: (2025)
UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models
by: Vashurin, Roman, et al.
Published: (2025)
by: Vashurin, Roman, et al.
Published: (2025)
Arabic Dataset for LLM Safeguard Evaluation
by: Ashraf, Yasser, et al.
Published: (2024)
by: Ashraf, Yasser, et al.
Published: (2024)
CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings
by: Orel, Daniil, et al.
Published: (2025)
by: Orel, Daniil, et al.
Published: (2025)
HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
by: Mekky, Ali, et al.
Published: (2025)
by: Mekky, Ali, et al.
Published: (2025)
Multimodal Large Language Models to Support Real-World Fact-Checking
by: Geng, Jiahui, et al.
Published: (2024)
by: Geng, Jiahui, et al.
Published: (2024)
From Chaos to Clarity: Claim Normalization to Empower Fact-Checking
by: Sundriyal, Megha, et al.
Published: (2023)
by: Sundriyal, Megha, et al.
Published: (2023)
How Does Prefix Matter in Reasoning Model Tuning?
by: Tomar, Raj Vardhan, et al.
Published: (2026)
by: Tomar, Raj Vardhan, et al.
Published: (2026)
Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect
by: Shang, Guokan, et al.
Published: (2024)
by: Shang, Guokan, et al.
Published: (2024)
FMI_SU_Yotkova_Kastreva at SemEval-2026 Task 13: Lightweight Detection of LLM-Generated Code via Stylometric Signals
by: Yotkova, Elitsa, et al.
Published: (2026)
by: Yotkova, Elitsa, et al.
Published: (2026)
Adaptive Conformal Prediction for Improving Factuality of Generations by Large Language Models
by: Rubashevskii, Aleksandr, et al.
Published: (2026)
by: Rubashevskii, Aleksandr, et al.
Published: (2026)
DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
by: Thareja, Rushil, et al.
Published: (2025)
by: Thareja, Rushil, et al.
Published: (2025)
Interpreting Bias in Large Language Models: A Feature-Based Approach
by: Prakash, Nirmalendu, et al.
Published: (2024)
by: Prakash, Nirmalendu, et al.
Published: (2024)
MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation
by: Elozeiri, Kareem, et al.
Published: (2025)
by: Elozeiri, Kareem, et al.
Published: (2025)
Missci: Reconstructing Fallacies in Misrepresented Science
by: Glockner, Max, et al.
Published: (2024)
by: Glockner, Max, et al.
Published: (2024)
Grounding Fallacies Misrepresenting Scientific Publications in Evidence
by: Glockner, Max, et al.
Published: (2024)
by: Glockner, Max, et al.
Published: (2024)
Shifting Long-Context LLMs Research from Input to Output
by: Wu, Yuhao, et al.
Published: (2025)
by: Wu, Yuhao, et al.
Published: (2025)
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing
by: Agarwal, Siddhant, et al.
Published: (2024)
by: Agarwal, Siddhant, et al.
Published: (2024)
Similar Items
-
SGHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Singapore
by: Ng, Ri Chi, et al.
Published: (2024) -
Recent Advances in Hate Speech Moderation: Multimodality and the Role of Large Models
by: Hee, Ming Shan, et al.
Published: (2024) -
LongGenBench: Benchmarking Long-Form Generation in Long Context LLMs
by: Wu, Yuhao, et al.
Published: (2024) -
Demystifying Hateful Content: Leveraging Large Multimodal Models for Hateful Meme Detection with Explainable Decisions
by: Hee, Ming Shan, et al.
Published: (2025) -
SEAHateCheck: Functional Tests for Detecting Hate Speech in Low-Resource Languages of Southeast Asia
by: Ng, Ri Chi, et al.
Published: (2026)