Papers

• COMPASS: A Framework for Evaluating Organization-Specific Policy Alignment in LLMs (2026)
  Dasol Choi et al.
  1.94
• K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts (2026)
  Nahyun Lee et al.
  1.94
• Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models (2026)
  Malikeh Ehghaghi et al.
  1.94
• ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration (2026)
  Ruofeng Yang et al.
  1.89
• The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure (2026)
  Yubo Li et al.
  1.89
• Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL (2026)
  Sudong Wang et al.
  1.83
• Statistical Estimation of Adversarial Risk in Large Language Models under Best-of-N Sampling (2026)
  Mingqian Feng et al.
  1.67
• The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 (2025)
  Kaiwen Zhou et al.
  1.28
• Using Mechanistic Interpretability to Craft Adversarial Attacks against Large Language Models (2025)
  Thomas Winninger et al.
  1.28
• SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation (2025)
  Junsong Chen et al.
  1.28
• Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment (2025)
  Xiaojun Jia et al.
  1.28
• Cascading Adversarial Bias from Injection to Distillation in Language Models (2025)
  Harsh Chaudhari et al.
  1.28
• TRiSM for Agentic AI: A Review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems (2025)
  Shaina Raza et al.
  1.28
• SAFEFLOW: A Principled Protocol for Trustworthy and Transactional Autonomous Agent Systems (2025)
  Peiran Li et al.
  1.28
• Finding Dori: Memorization in Text-to-Image Diffusion Models Is Less Local Than Assumed (2025)
  Antoni Kowalczuk et al.
  1.28
• AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models (2025)
  Zihao Zhu et al.
  1.28
• Imperceptible Jailbreaking against Large Language Models (2025)
  Kuofeng Gao et al.
  1.28
• CLINIC: Evaluating Multilingual Trustworthiness in Language Models for Healthcare (2025)
  Akash Ghosh et al.
  1.28
• Hybrid Attribution Priors for Explainable and Robust Model Training (2025)
  Zhuoran Zhang et al.
  1.28
• Jailbroken: How Does LLM Safety Training Fail? (2023)
  Alexander Wei et al.
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• Moral Foundations of Large Language Models (2023)
  Marwa Abdulhai et al.
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• Can LLMs Follow Simple Rules? (2023)
  Norman Mu et al.
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• WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models (2024)
  Liwei Jiang et al.
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• Hallucinating AI Hijacking Attack: Large Language Models and Malicious Code Recommenders (2024)
  David Noever et al.
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