Measuring and Mitigating Toxicity in Large Language Models: A Comprehensive Replication Study
Fuente:
arXiv
Saved in:
| Main Authors: | Surana, Mokshit, Rathod, Archit, Satishkumar, Akshaj |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair and Calibrated Toxicity Detection with Robust Training and Abstention
by: Surana, Mokshit
Published: (2026)
by: Surana, Mokshit
Published: (2026)
CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
by: Suresh, Sathya Krishnan, et al.
Published: (2025)
by: Suresh, Sathya Krishnan, et al.
Published: (2025)
Leveraging Large Language Models and Topic Modeling for Toxicity Classification
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2024)
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2024)
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)
by: Pulkundwar, Parth, et al.
Published: (2025)
A Critical Evaluation of AI Feedback for Aligning Large Language Models
by: Sharma, Archit, et al.
Published: (2024)
by: Sharma, Archit, et al.
Published: (2024)
Large Language Models For Text Classification: Case Study And Comprehensive Review
by: Kostina, Arina, et al.
Published: (2025)
by: Kostina, Arina, et al.
Published: (2025)
Large Language Models on Graphs: A Comprehensive Survey
by: Jin, Bowen, et al.
Published: (2023)
by: Jin, Bowen, et al.
Published: (2023)
PromptScreen: Efficient Jailbreak Mitigation Using Semantic Linear Classification in a Multi-Staged Pipeline
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
by: Rao, Akshaj Prashanth, et al.
Published: (2025)
A Comprehensive Study on Quantization Techniques for Large Language Models
by: Lang, Jiedong, et al.
Published: (2024)
by: Lang, Jiedong, et al.
Published: (2024)
Bias in Large Language Models: Origin, Evaluation, and Mitigation
by: Guo, Yufei, et al.
Published: (2024)
by: Guo, Yufei, et al.
Published: (2024)
GLBench: A Comprehensive Benchmark for Graph with Large Language Models
by: Li, Yuhan, et al.
Published: (2024)
by: Li, Yuhan, et al.
Published: (2024)
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models
by: Zheng, Kening, et al.
Published: (2024)
by: Zheng, Kening, et al.
Published: (2024)
Measuring Moral Inconsistencies in Large Language Models
by: Bonagiri, Vamshi Krishna, et al.
Published: (2024)
by: Bonagiri, Vamshi Krishna, et al.
Published: (2024)
Self-ensemble: Mitigating Confidence Mis-calibration for Large Language Models
by: Xu, Zicheng, et al.
Published: (2025)
by: Xu, Zicheng, et al.
Published: (2025)
Addressing Stereotypes in Large Language Models: A Critical Examination and Mitigation
by: Kazi, Fatima
Published: (2025)
by: Kazi, Fatima
Published: (2025)
Preference Tuning For Toxicity Mitigation Generalizes Across Languages
by: Li, Xiaochen, et al.
Published: (2024)
by: Li, Xiaochen, et al.
Published: (2024)
Risks, Causes, and Mitigations of Widespread Deployments of Large Language Models (LLMs): A Survey
by: Sakib, Md Nazmus, et al.
Published: (2024)
by: Sakib, Md Nazmus, et al.
Published: (2024)
Multimodal Large Language Models for Medicine: A Comprehensive Survey
by: Ye, Jiarui, et al.
Published: (2025)
by: Ye, Jiarui, et al.
Published: (2025)
Data-driven Discovery with Large Generative Models
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
by: Balestriero, Randall, et al.
Published: (2023)
by: Balestriero, Randall, et al.
Published: (2023)
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
by: Siddiqui, S M Tahmid, et al.
Published: (2026)
by: Siddiqui, S M Tahmid, et al.
Published: (2026)
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
by: Son, Seungwoo, et al.
Published: (2024)
by: Son, Seungwoo, et al.
Published: (2024)
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
by: Yu, Yijiong, et al.
Published: (2024)
by: Yu, Yijiong, et al.
Published: (2024)
Beyond the Prompt in Large Language Models: Comprehension, In-Context Learning, and Chain-of-Thought
by: Jiao, Yuling, et al.
Published: (2026)
by: Jiao, Yuling, et al.
Published: (2026)
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
by: Wu, Xingyu, et al.
Published: (2023)
by: Wu, Xingyu, et al.
Published: (2023)
Assessing Factual Music Comprehension in Large Audio Language Models
by: Lin, Daniel Chenyu, et al.
Published: (2025)
by: Lin, Daniel Chenyu, et al.
Published: (2025)
Continual Learning of Large Language Models: A Comprehensive Survey
by: Shi, Haizhou, et al.
Published: (2024)
by: Shi, Haizhou, et al.
Published: (2024)
Measuring Non-Adversarial Reproduction of Training Data in Large Language Models
by: Aerni, Michael, et al.
Published: (2024)
by: Aerni, Michael, et al.
Published: (2024)
Dynamic Attention-Guided Context Decoding for Mitigating Context Faithfulness Hallucinations in Large Language Models
by: Huang, Yanwen, et al.
Published: (2025)
by: Huang, Yanwen, et al.
Published: (2025)
A Systematic Study of In-the-Wild Model Merging for Large Language Models
by: Hitit, Oğuz Kağan, et al.
Published: (2025)
by: Hitit, Oğuz Kağan, et al.
Published: (2025)
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
by: Rafailov, Rafael, et al.
Published: (2023)
by: Rafailov, Rafael, et al.
Published: (2023)
Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)
by: Li, Yuangang, et al.
Published: (2025)
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models
by: Eiras, Francisco, et al.
Published: (2024)
by: Eiras, Francisco, et al.
Published: (2024)
Labels Generated by Large Language Models Help Measure People's Empathy in Vitro
by: Hasan, Md Rakibul, et al.
Published: (2025)
by: Hasan, Md Rakibul, et al.
Published: (2025)
A Comprehensive Survey on Long Context Language Modeling
by: Liu, Jiaheng, et al.
Published: (2025)
by: Liu, Jiaheng, et al.
Published: (2025)
Measuring Social Norms of Large Language Models
by: Yuan, Ye, et al.
Published: (2024)
by: Yuan, Ye, et al.
Published: (2024)
BA-LoRA: Bias-Alleviating Low-Rank Adaptation to Mitigate Catastrophic Inheritance in Large Language Models
by: Chang, Yupeng, et al.
Published: (2024)
by: Chang, Yupeng, et al.
Published: (2024)
CORE: Comprehensive Ontological Relation Evaluation for Large Language Models
by: Dwivedi, Satyam, et al.
Published: (2026)
by: Dwivedi, Satyam, et al.
Published: (2026)
Similar Items
-
Fair and Calibrated Toxicity Detection with Robust Training and Abstention
by: Surana, Mokshit
Published: (2026) -
CS-Sum: A Benchmark for Code-Switching Dialogue Summarization and the Limits of Large Language Models
by: Suresh, Sathya Krishnan, et al.
Published: (2025) -
Leveraging Large Language Models and Topic Modeling for Toxicity Classification
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2024) -
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024) -
A Concise Review of Hallucinations in LLMs and their Mitigation
by: Pulkundwar, Parth, et al.
Published: (2025)