Saved in:
| Main Authors: | Szelestey, Adam, van Engelen, Sofie, Huang, Tianhao, Snelders, Justin, Zeng, Qintao, Deng, Songgaojun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.15511 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025)
by: Chapala, Sashank, et al.
Published: (2025)
Benchmarking Political Persuasion Risks Across Frontier Large Language Models
by: Chen, Zhongren, et al.
Published: (2026)
by: Chen, Zhongren, et al.
Published: (2026)
Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
by: Zhang, Weijia, et al.
Published: (2025)
by: Zhang, Weijia, et al.
Published: (2025)
PakBBQ: A Culturally Adapted Bias Benchmark for QA
by: Hashmat, Abdullah, et al.
Published: (2025)
by: Hashmat, Abdullah, et al.
Published: (2025)
Factuality or Fiction? Benchmarking Modern LLMs on Ambiguous QA with Citations
by: Patel, Maya, et al.
Published: (2024)
by: Patel, Maya, et al.
Published: (2024)
GermanPartiesQA: Benchmarking Commercial Large Language Models and AI Companions for Political Alignment and Sycophancy
by: Batzner, Jan, et al.
Published: (2024)
by: Batzner, Jan, et al.
Published: (2024)
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention
by: Wan, Yixin, et al.
Published: (2024)
by: Wan, Yixin, et al.
Published: (2024)
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)
Evaluating Proactive Risk Awareness of Large Language Models
by: Luo, Xuan, et al.
Published: (2026)
by: Luo, Xuan, et al.
Published: (2026)
Position: It's Time to Act on the Risk of Efficient Personalized Text Generation
by: Iofinova, Eugenia, et al.
Published: (2025)
by: Iofinova, Eugenia, et al.
Published: (2025)
Wikipedia in the Era of LLMs: Evolution and Risks
by: Huang, Siming, et al.
Published: (2025)
by: Huang, Siming, et al.
Published: (2025)
GT-HarmBench: Benchmarking AI Safety Risks Through the Lens of Game Theory
by: Cobben, Pepijn, et al.
Published: (2026)
by: Cobben, Pepijn, et al.
Published: (2026)
Question-Answering (QA) Model for a Personalized Learning Assistant for Arabic Language
by: Sammoudi, Mohammad, et al.
Published: (2024)
by: Sammoudi, Mohammad, et al.
Published: (2024)
FaStfact: Faster, Stronger Long-Form Factuality Evaluations in LLMs
by: Wan, Yingjia, et al.
Published: (2025)
by: Wan, Yingjia, et al.
Published: (2025)
Emergent Social Intelligence Risks in Generative Multi-Agent Systems
by: Huang, Yue, et al.
Published: (2026)
by: Huang, Yue, et al.
Published: (2026)
Navigating the Risks of Using Large Language Models for Text Annotation in Social Science Research
by: Lin, Hao, et al.
Published: (2025)
by: Lin, Hao, et al.
Published: (2025)
SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
by: Haas, Lukas, et al.
Published: (2025)
by: Haas, Lukas, et al.
Published: (2025)
KoSimpleQA: A Korean Factuality Benchmark with an Analysis of Reasoning LLMs
by: Ko, Donghyeon, et al.
Published: (2025)
by: Ko, Donghyeon, et al.
Published: (2025)
MalAlgoQA: Pedagogical Evaluation of Counterfactual Reasoning in Large Language Models and Implications for AI in Education
by: Liu, Naiming, et al.
Published: (2024)
by: Liu, Naiming, et al.
Published: (2024)
Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine
by: Yang, Yifan, et al.
Published: (2024)
by: Yang, Yifan, et al.
Published: (2024)
A Framework to Assess the Persuasion Risks Large Language Model Chatbots Pose to Democratic Societies
by: Chen, Zhongren, et al.
Published: (2025)
by: Chen, Zhongren, et al.
Published: (2025)
Industry Risk Assessment via Hierarchical Financial Data Using Stock Market Sentiment Indicators
by: Zhu, Hongyin
Published: (2023)
by: Zhu, Hongyin
Published: (2023)
LatentQA: Teaching LLMs to Decode Activations Into Natural Language
by: Pan, Alexander, et al.
Published: (2024)
by: Pan, Alexander, et al.
Published: (2024)
Red Lines and Grey Zones in the Fog of War: Benchmarking Legal Risk, Moral Harm, and Regional Bias in Large Language Model Military Decision-Making
by: Drinkall, Toby
Published: (2025)
by: Drinkall, Toby
Published: (2025)
Understanding and Mitigating Risks of Generative AI in Financial Services
by: Gehrmann, Sebastian, et al.
Published: (2025)
by: Gehrmann, Sebastian, et al.
Published: (2025)
What do Large Language Models Say About Animals? Investigating Risks of Animal Harm in Generated Text
by: Kanepajs, Arturs, et al.
Published: (2025)
by: Kanepajs, Arturs, et al.
Published: (2025)
Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
by: Kausar, Zahida, et al.
Published: (2025)
by: Kausar, Zahida, et al.
Published: (2025)
Evaluating Reliability Asymmetries in Chinese Factual Search and AI Answers
by: Liu, Geng, et al.
Published: (2025)
by: Liu, Geng, et al.
Published: (2025)
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis
by: Verma, Rakesh M., et al.
Published: (2024)
by: Verma, Rakesh M., et al.
Published: (2024)
SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
by: Lee, Kyeongryul, et al.
Published: (2025)
by: Lee, Kyeongryul, et al.
Published: (2025)
Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks
by: Chen, Sirui, et al.
Published: (2025)
by: Chen, Sirui, et al.
Published: (2025)
Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation
by: Grabb, Declan, et al.
Published: (2024)
by: Grabb, Declan, et al.
Published: (2024)
Prompt-Counterfactual Explanations for Generative AI System Behavior
by: Goethals, Sofie, et al.
Published: (2026)
by: Goethals, Sofie, et al.
Published: (2026)
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered
by: Mirza, Imran, et al.
Published: (2025)
by: Mirza, Imran, et al.
Published: (2025)
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy
by: Wang, Huandong, et al.
Published: (2025)
by: Wang, Huandong, et al.
Published: (2025)
Why They Disagree: Decoding Differences in Opinions about AI Risk on the Lex Fridman Podcast
by: Truong, Nghi, et al.
Published: (2025)
by: Truong, Nghi, et al.
Published: (2025)
A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024
by: Thompson, Horacio, et al.
Published: (2024)
by: Thompson, Horacio, et al.
Published: (2024)
Generative AI in Saudi Arabia: A National Survey of Adoption, Risks, and Public Perceptions
by: AlDakheel, Abdulaziz, et al.
Published: (2026)
by: AlDakheel, Abdulaziz, et al.
Published: (2026)
An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models
by: Payne, Kenneth
Published: (2025)
by: Payne, Kenneth
Published: (2025)
LLMs as Strategic Actors: Behavioral Alignment, Risk Calibration, and Argumentation Framing in Geopolitical Simulations
by: Solopova, Veronika, et al.
Published: (2026)
by: Solopova, Veronika, et al.
Published: (2026)
Similar Items
-
Mitigating Social Desirability Bias in Random Silicon Sampling
by: Chapala, Sashank, et al.
Published: (2025) -
Benchmarking Political Persuasion Risks Across Frontier Large Language Models
by: Chen, Zhongren, et al.
Published: (2026) -
Beyond Natural Language Plans: Structure-Aware Planning for Query-Focused Table Summarization
by: Zhang, Weijia, et al.
Published: (2025) -
PakBBQ: A Culturally Adapted Bias Benchmark for QA
by: Hashmat, Abdullah, et al.
Published: (2025) -
Factuality or Fiction? Benchmarking Modern LLMs on Ambiguous QA with Citations
by: Patel, Maya, et al.
Published: (2024)