LLM Safety

LLM: Large Language Model

Follow this topic Ask about this topic

Momentum

36 papers in the last four weeks, up 200% on the four weeks before. 0.4% of all new papers.

Jul 13Week of Sep 28

Latest papers 272

All topics

Social Pressure Breaks Majority Voting in LLM Safety Panels
Aug 5, 2026Yibo Hu, Jiaming QuNormative Conformity in Language Models Safety Filtering
Illinois Institute of Technology · Amazon
DataRx: Missingness-Aware Sampling for Safer Large Language Model Task-Specific Fine-Tuning
Aug 5, 2026Junbo Zhang, Qianli Zhou, Xinyang Deng +1Language Model Safety Evaluation LLM Fine-Tuning
Northwestern Polytechnical University
Aligned in Form, Not in Meaning: The Comprehension - Containment Decoupling of LLM Safety in Low-Resource Bangla Derogatory Speech
Aug 3, 2026Shadab Bin Habib, A K M Ferdous Reza Habib, Subarno Neel +1Language Model Safety Evaluation LLM Safety Alignment
Department of Computer Science and Engineering Islamic University of Technology, Dhaka, Bangladesh
Long-term Measurements: Towards a Longitudinal Understanding of Human-AI Interactions
Aug 3, 2026Nicole Mitchell, Dhruv Agarwal, Maty Bohacek +2Language Model Safety Evaluation Human-AI Interaction
♢Google Research · ♡Google DeepMind · ♠Cornell University +1
EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers
Aug 3, 2026Junyeong Park, Jieun Han, Haneul Yoo +3LLM Safety Benchmarks Generative AI in Education
KAIST · NYU · Google Cloud AI Research
A Blind Spot in Alignment: Quantifying Biosecurity Risks in Large Language Models
Aug 3, 2026Shu Quan, Tianfang Hao, Sitong Fang +8LLM Safety Benchmarks LLM Safety
Institute for Artificial Intelligence, Peking University · The Hong Kong University of Science and Technology (Guangzhou) · Beijing Academy of Artificial Intelligence
Auditable Release Control for Pedagogical Leakage in LLM Tutors
Aug 1, 2026Nizam KadirLLM Auditing LLM Guardrails
Science, Mathematics and Technology Singapore University of Technology and Design (SUTD) Singapore
Safeguards Based on Copyable Context Cannot Provide Reliable Safety for LLMs
Jul 30, 2026Pingyu Wu, Lingyao Zhu, Weiming Zhang +1Adversarial Attacks on LLMs Safety Filtering
University of Science and Technology of China · Hefei AiDA Lab · Zhejiang Wanli University
Reasoning in Real World Clinical Care: Why Large Language Models Are Not Yet Safe for Autonomous Clinical Decision Support
Jul 29, 2026Shayndhan Sivanathan, Shravan Nageswaran, Mehdi Zadem +10Clinical Triage Clinical Decision Support
Atman Labs · Oxford University Hospitals · Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford +11
Shieldstral
Jul 28, 2026Antonia Calvi, Avinash Sooriyarachchi, Giada Pistilli +273Language Model Safety Evaluation Content Moderation
Many-body Tipping Dynamics of ChatGPT-like AIs
Jul 28, 2026Frank Yingjie Huo, Neil F. JohnsonLLM Reliability LLM Safety
Department of Physics, The George Washington University, Washington, DC, USA
Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards
Jul 27, 2026Xi Li, Shu Zhao, Xiaohan Zou +6Adversarial Attacks on VLMs Multimodal Large Language Models
University of Alabama at Birmingham · NVIDIA · Penn State University +4
SAGE: Safety-First Defense-in-Depth Guardrails for Verified Lifecycle Control of High-Impact Generative AI
Jul 24, 2026Mahdi EslamimehrLLM Guardrails AI Safety Evaluation
Quandary Peak Research
Not All LLM Reasoning is Visible in the Chain-of-Thought
Jul 24, 2026Vatsal Baherwani, Tom Goldstein, Ashwinee PandaCoT Faithfulness LLM Interpretability
New York University · University of Maryland · TogetherAI
Analysing Self-Harm Representations in Language Models: a Cross-Architecture Study
Jul 24, 2026Luis Espinosa-Anke, Carla Perez-AlmendrosLLM Safety Representation Geometry in Language Models
Cardiff University
Same Dangerous Objective, Opposite Advice: Direct Exposure versus Multi-Agent Mediation
Jul 23, 2026Linjun LiMulti-Agent LLM Systems LLM Safety
Department of Mathematics, University of Pennsylvania, Philadelphia, PA.
IssueTrojanBench: Benchmarking AI Coding Agents Against Malicious Issue Requests
Jul 22, 2026Ankur Singh, Jinqiu Yang, Tse-Hsun ChenAI Coding Agents AI Agent Security
Concordia University Montr´eal, Canada
Sound Probabilistic Safety Bounds for Large Language Models
Jul 22, 2026Mahdi Nazeri, Anne-Kathrin Schmuck, Sadegh Soudjani +1Language Model Safety Evaluation Confidence Estimation in Language Models
Department of Computer Science, University of Oxford, UK · Max Planck Institute for Software Systems, Germany · School of Computer Science, University of Birmingham, UK
Adaptive Capitulation: A Structural Failure Mode of LLM Responses in Vulnerability Contexts
Jul 21, 2026Eunna LeeLanguage Model Safety Evaluation LLM Refusal Behavior
Independent Researcher
Don't Want Your LLM to Recommend Nuclear Strike? Try Asking It in Japanese
Jul 21, 2026Rian TouchentMoral Reasoning in Language Models Language Model Safety Evaluation
ALMAnaCH · Sorbonne Université / INRIA Paris ALMAnaCH Team
Judge-dependent safety gains and model-specific helpfulness costs of evidence-sufficiency prompting in clinical LLMs
Jul 20, 2026Koyar AfrasyabLLM-as-a-Judge LLM Prompting
Kinvectum AB, Sweden
Risk Governance for Generative AI Mental Health Support: A Multi-Turn Safety Architecture
Jul 17, 2026Anabela C. Areias, Catarina Botelho, António Farinhas +7Emotional Support Conversation Mental Health
Sword Health, New York, NY, United States · Yale Child Study Center, Yale School of Medicine, New Haven, CT, United States · Department of Psychology, University of Virginia, Charlottesville, VA, USA
Securing LLMs in the Wild: Privacy and Security Challenges at the Edge
Jul 13, 2026Ren-Yi Huang, Mingchen Li, Dumindu Samaraweera +1LLM Inference Efficiency Edge Computing
Department of Electrical and Computer Engineering, University of South Florida · Department of Mathematics, Embry-Riddle Aeronautical University
HyperSafe: Inference-Time Safety Recovery for Fine-Tuned Language Models
Jul 13, 2026Aznaur Aliev, Carlos Hinojosa, Abdelrahman Eldesokey +3LLM Fine-Tuning LLM Safety Alignment
King Abdullah University of Science and Technology, Saudi Arabia
Who Analyses the Analyser? Self-Validating LLM Hazard Analysis with Constitutional Meta-STPA
Jul 9, 2026Samuel Tetteh, Udip Shrestha, Joshua R. Waite +1LLM Auditing LLM Safety
Mechanical Engineering, Iowa State University · Electrical and Computer Engineering, Iowa State University · Translational AI Center, Iowa State University
A safety-oriented hypothetico-deductive framework for AI-assisted differential diagnosis
Jul 9, 2026Fan Ma, Mauro Giuffrè, Donald Wright +12Scientific Reasoning Medical Diagnosis
Department of Biomedical Informatics and Data Science, Yale School of Medicine, Yale University, New Haven, USA · Department of Medical, Surgical and Health Sciences, Università degli Studi di Trieste, Trieste, Italy · Department of Emergency Medicine, Yale School of Medicine, Yale University, New Haven, USA +3
Alignment Plausibility: A New Standard for Assuring AI in Healthcare
Jul 8, 2026Gwydion Williams, Sara Zannone, Bilal A MateenLLM Alignment Healthcare
PATH, United Kingdom · UCL, United Kingdom
DT-Guard: Intent-Driven Reasoning-Active Training for Reasoning-Free LLM Safety Guardrail
Jul 7, 2026He Liu, Changtao Miao, Xinjie Yang +12Reasoning Distillation LLM Guardrails
Ant Digital Technologies, Ant Group
Out-of-Distribution Generalization of Risk Aversion in Language Models
Jul 2, 2026Kristina Zhang, Junior Chinomso Okoroafor, Benjamin Maltbie +3LLM Safety Benchmarks OOD Generalization
Massachusetts Institute of Technology, Cambridge, MA, USA.
Online Safety Monitoring for LLMs
Jul 2, 2026Mona Schirmer, Metod Jazbec, Alexander Timans +3Language Model Safety Evaluation LLM Safety
UvA Bosch-Delta Lab, University of Amsterdam · University of Wisconsin Madison · Johns Hopkins University

Aug 5, 2026, cs.CLJ/K move · Enter open · S save

Social Pressure Breaks Majority Voting in LLM Safety Panels

Yibo Hu, Jiaming Qu

Illinois Institute of Technology · Amazon

Normative Conformity in Language Models Safety Filtering LLM Safety LLM Safety Evaluation Majority Voting

Open paper AskPDF arXiv

Large language models (LLMs) are increasingly used to detect unsafe content. A common approach is to combine judgments from a panel of models to correct individual mistakes, but this benefit may disappear when every model sees the same misleading context before voting. We study this risk in a controlled two-round experiment. Each model first judges an item alone, then judges it again after six simulated peers either assert the wrong label or abstain. We combine the final judgments by majority vote. Across six open-weight LLMs and six datasets, we find that the wrong-label peer message raises the average reviewer false-alarm rate from 56.5% under silent peers to 87.5%, and majority voting raises the panel false-alarm rate to 100%. Without an asserted label, the same panel outperforms its average member. The effect is strongly asymmetric: reviewers follow pushes toward "unsafe" far more than pushes toward "safe" (about 75% versus 17%), so the panel's false-alarm rate rises sharply while its harmful-miss rate changes little. The proprietary-model probe shows substantial variation across models. These results identify susceptibility to shared social cues as a failure mode of safety panels and provide a simple pre-deployment diagnostic.

Momentum

Related topics

Latest papers 272