Evaluating Large Language Models for Detecting Antisemitism
Fuente:
arXiv
Saved in:
| Main Authors: | Patel, Jay, Mehta, Hrudayangam, Blackburn, Jeremy |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025)
by: Panda, Srikant, et al.
Published: (2025)
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022)
by: Li, Xingxuan, et al.
Published: (2022)
An Exploration of Higher Education Course Evaluation by Large Language Models
by: Yuan, Bo, et al.
Published: (2024)
by: Yuan, Bo, et al.
Published: (2024)
Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
by: Rao, Pooja S. B., et al.
Published: (2025)
by: Rao, Pooja S. B., et al.
Published: (2025)
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)
by: Zhang, Mian, et al.
Published: (2024)
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
by: Hu, Yiran, et al.
Published: (2026)
by: Hu, Yiran, et al.
Published: (2026)
Dr.Academy: A Benchmark for Evaluating Questioning Capability in Education for Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)
by: Chen, Yuyan, et al.
Published: (2024)
Sentient Agent as a Judge: Evaluating Higher-Order Social Cognition in Large Language Models
by: Zhang, Bang, et al.
Published: (2025)
by: Zhang, Bang, et al.
Published: (2025)
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)
by: Hu, Beizhe, et al.
Published: (2023)
Truth Knows No Language: Evaluating Truthfulness Beyond English
by: Figueras, Blanca Calvo, et al.
Published: (2025)
by: Figueras, Blanca Calvo, et al.
Published: (2025)
On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)
by: Franceschelli, Giorgio, et al.
Published: (2023)
Quantifying Risk Propensities of Large Language Models: Ethical Focus and Bias Detection through Role-Play
by: Zeng, Yifan, et al.
Published: (2024)
by: Zeng, Yifan, et al.
Published: (2024)
Cross-Language Bias Examination in Large Language Models
by: Liang, Yuxuan, et al.
Published: (2025)
by: Liang, Yuxuan, et al.
Published: (2025)
Smart Trial: Evaluating the Use of Large Language Models for Recruiting Clinical Trial Participants via Social Media
by: Zhou, Xiaofan, et al.
Published: (2025)
by: Zhou, Xiaofan, et al.
Published: (2025)
Dual-Metric Evaluation of Social Bias in Large Language Models: Evidence from an Underrepresented Nepali Cultural Context
by: Pandey, Ashish, et al.
Published: (2026)
by: Pandey, Ashish, et al.
Published: (2026)
Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models
by: Dahl, Matthew, et al.
Published: (2024)
by: Dahl, Matthew, et al.
Published: (2024)
How Large Language Models are Designed to Hallucinate
by: Ackermann, Richard, et al.
Published: (2025)
by: Ackermann, Richard, et al.
Published: (2025)
Anticipating Innovation Using Large Language Models
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
by: Fenoaltea, Enrico Maria, et al.
Published: (2026)
Open-Ended Wargames with Large Language Models
by: Hogan, Daniel P., et al.
Published: (2024)
by: Hogan, Daniel P., et al.
Published: (2024)
Large Language Models for Education: A Survey
by: Xu, Hanyi, et al.
Published: (2024)
by: Xu, Hanyi, et al.
Published: (2024)
Large Language Models as Misleading Assistants in Conversation
by: Hou, Betty Li, et al.
Published: (2024)
by: Hou, Betty Li, et al.
Published: (2024)
Large Language Models for Medicine: A Survey
by: Zheng, Yanxin, et al.
Published: (2024)
by: Zheng, Yanxin, et al.
Published: (2024)
Are Large Language Models Good Essay Graders?
by: Kundu, Anindita, et al.
Published: (2024)
by: Kundu, Anindita, et al.
Published: (2024)
Evaluating Large Language Models Against Human Annotators in Latent Content Analysis: Sentiment, Political Leaning, Emotional Intensity, and Sarcasm
by: Bojic, Ljubisa, et al.
Published: (2025)
by: Bojic, Ljubisa, et al.
Published: (2025)
A Systematic Analysis of Biases in Large Language Models
by: Zhang, Xulang, et al.
Published: (2025)
by: Zhang, Xulang, et al.
Published: (2025)
Large Language Models as symbolic DNA of cultural dynamics
by: Pourdavood, Parham, et al.
Published: (2025)
by: Pourdavood, Parham, et al.
Published: (2025)
Large Language Models (LLMs) as Agents for Augmented Democracy
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
by: Gudiño-Rosero, Jairo, et al.
Published: (2024)
Regulating Large Language Models: A Roundtable Report
by: Nicholas, Gabriel, et al.
Published: (2024)
by: Nicholas, Gabriel, et al.
Published: (2024)
UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)
by: Li, Zhonghang, et al.
Published: (2024)
The Human Condition as Reflected in Contemporary Large Language Models
by: Neuman, W. Russell
Published: (2026)
by: Neuman, W. Russell
Published: (2026)
Dual Traits in Probabilistic Reasoning of Large Language Models
by: Li, Shenxiong, et al.
Published: (2024)
by: Li, Shenxiong, et al.
Published: (2024)
Semantic Consistency for Assuring Reliability of Large Language Models
by: Raj, Harsh, et al.
Published: (2023)
by: Raj, Harsh, et al.
Published: (2023)
LocalValueBench: A Collaboratively Built and Extensible Benchmark for Evaluating Localized Value Alignment and Ethical Safety in Large Language Models
by: Meadows, Gwenyth Isobel, et al.
Published: (2024)
by: Meadows, Gwenyth Isobel, et al.
Published: (2024)
Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)
by: Sun, Zhongxiang, et al.
Published: (2025)
A Comprehensive Survey on the Trustworthiness of Large Language Models in Healthcare
by: Aljohani, Manar, et al.
Published: (2025)
by: Aljohani, Manar, et al.
Published: (2025)
DarkBench: Benchmarking Dark Patterns in Large Language Models
by: Kran, Esben, et al.
Published: (2025)
by: Kran, Esben, et al.
Published: (2025)
Large Language Model for Mental Health: A Systematic Review
by: Guo, Zhijun, et al.
Published: (2024)
by: Guo, Zhijun, et al.
Published: (2024)
PRISM: A Methodology for Auditing Biases in Large Language Models
by: Azzopardi, Leif, et al.
Published: (2024)
by: Azzopardi, Leif, et al.
Published: (2024)
Large Language Models are Zero-Shot Next Location Predictors
by: Beneduce, Ciro, et al.
Published: (2024)
by: Beneduce, Ciro, et al.
Published: (2024)
AuditWen:An Open-Source Large Language Model for Audit
by: Huang, Jiajia, et al.
Published: (2024)
by: Huang, Jiajia, et al.
Published: (2024)
Similar Items
-
AccessEval: Benchmarking Disability Bias in Large Language Models
by: Panda, Srikant, et al.
Published: (2025) -
Evaluating Psychological Safety of Large Language Models
by: Li, Xingxuan, et al.
Published: (2022) -
An Exploration of Higher Education Course Evaluation by Large Language Models
by: Yuan, Bo, et al.
Published: (2024) -
Invisible Filters: Cultural Bias in Hiring Evaluations Using Large Language Models
by: Rao, Pooja S. B., et al.
Published: (2025) -
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy
by: Zhang, Mian, et al.
Published: (2024)