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| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
Search and browse arXiv CS/AI/ML papers, enriched with AI-generated insights.
Generate novel research ideas grounded in real arXiv papers with Brainstorm.
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| Paper | Published | Area | Tags | Intel | Citations |
|---|---|---|---|---|---|
| A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents Benjamin C. M. Fung, Claude Fachkha, Khalil Al-Hussaeni, Martin Weiss Published: 2025-12-23Area: Safety EvaluationCitations: 2 Tags: ai-safety, alignment-training, benchmark, safety-evaluation | 2025-12-23 | Safety Evaluation | ai-safety, alignment-training, benchmark, safety-evaluation | E4 / R3 (98%) | 2 |
| Beyond Context: Large Language Models Failure to Grasp Users Intent Ahmed M. Hussain, Panos Papadimitratos, Salahuddin Salahuddin Published: 2025-12-24Area: Safety EvaluationCitations: 1 Tags: ai-safety, empirical, safety-evaluation | 2025-12-24 | Safety Evaluation | ai-safety, empirical, safety-evaluation | E5 / R3 (94%) | 1 |
| DarkPatterns-LLM: A Multi-Layer Benchmark for Detecting Manipulative and Harmful AI Behavior Haris Khan, Israel Antonio Rosales Laguan, Muneeb Asif, Sadia Asif Published: 2025-12-27Area: Safety EvaluationCitations: 1 Tags: ai-safety, benchmark, safety-evaluation | 2025-12-27 | Safety Evaluation | ai-safety, benchmark, safety-evaluation | E6 / R3 (97%) | 1 |
| Adversarial Lens: Exploiting Attention Layers to Generate Adversarial Examples for Evaluation Kaustubh Dhole Published: 2025-12-29Area: Adversarial RobustnessCitations: - Tags: adversarial-robustness, ai-safety, empirical, safety-evaluation | 2025-12-29 | Adversarial Robustness | adversarial-robustness, ai-safety, empirical, safety-evaluation | E4 / R3 (95%) | - |
| Eliciting Behaviors in Multi-Turn Conversations Andrew Hard, Jing Huang, John Lambert, Lun Wang Published: 2025-12-29Area: Safety EvaluationCitations: - Tags: ai-safety, empirical, safety-evaluation | 2025-12-29 | Safety Evaluation | ai-safety, empirical, safety-evaluation | E4 / R3 (95%) | - |
| Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race? Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang Published: 2025-12-30Area: Adversarial RobustnessCitations: - Tags: adversarial-robustness, ai-safety, empirical, safety-evaluation | 2025-12-30 | Adversarial Robustness | adversarial-robustness, ai-safety, empirical, safety-evaluation | E6 / R3 (94%) | - |
| Safe in the Future, Dangerous in the Past: Dissecting Temporal and Linguistic Vulnerabilities in LLMs Muhammad Abdullahi Said, Muhammad Sammani Sani Published: 2025-12-31Area: Adversarial RobustnessCitations: - Tags: adversarial-robustness, ai-safety, empirical, safety-evaluation | 2025-12-31 | Adversarial Robustness | adversarial-robustness, ai-safety, empirical, safety-evaluation | E6 / R3 (96%) | - |
| CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patterns Chuanpu Liu, Kun Wang, Qiankun Li, Shilinlu Yan Published: 2026-01-02Area: Safety EvaluationCitations: - Tags: adversarial-robustness, ai-safety, benchmark, safety-evaluation | 2026-01-02 | Safety Evaluation | adversarial-robustness, ai-safety, benchmark, safety-evaluation | E6 / R5 (96%) | - |
| The Slow Drift of Support: Boundary Failures in Multi-Turn Mental Health LLM Dialogues Chenyu Sun, Kerry Jiang, Qiyang Pan, Youyou Cheng Published: 2026-01-02Area: Safety EvaluationCitations: - Tags: ai-safety, empirical, safety-evaluation | 2026-01-02 | Safety Evaluation | ai-safety, empirical, safety-evaluation | E6 / R3 (94%) | - |
| How Real is Your Jailbreak? Fine-grained Jailbreak Evaluation with Anchored Reference Chaozhuo Li, Chenxu Wang, Litian Zhang, Rui Pu Published: 2026-01-04Area: Safety EvaluationCitations: - Tags: adversarial-robustness, ai-safety, benchmark, safety-evaluation | 2026-01-04 | Safety Evaluation | adversarial-robustness, ai-safety, benchmark, safety-evaluation | E5 / R3 (96%) | - |
| The Anatomy of Conversational Scams: A Topic-Based Red Teaming Analysis of Multi-Turn Interactions in LLMs Haoming Tang, Siying Hu, Xiangzhe Yuan, Zhenhao Zhang Published: 2026-01-06Area: Safety EvaluationCitations: - Tags: ai-safety, empirical, red-teaming, safety-evaluation | 2026-01-06 | Safety Evaluation | ai-safety, empirical, red-teaming, safety-evaluation | E5 / R3 (93%) | - |
| Jailbreaking LLMs & VLMs: Mechanisms, Evaluation, and Unified Defenses Chao Li, Chaozhuo Li, Litian Zhang, Xi Zhang Published: 2026-01-07Area: Surveys & ReviewsCitations: 1 Tags: adversarial-robustness, ai-safety, safety-evaluation, survey, surveys-reviews | 2026-01-07 | Surveys & Reviews | adversarial-robustness, ai-safety, safety-evaluation, survey, surveys-reviews | E6 / R4 (97%) | 1 |
| MiJaBench: Revealing Minority Biases in Large Language Models via Hate Speech Jailbreaking Arlindo R. Galv茫o Filho, Diogo F. C. Silva, Iago A. Brito, Julia S. Dollis Published: 2026-01-07Area: Safety EvaluationCitations: - Tags: adversarial-robustness, ai-safety, alignment-training, benchmark, safety-evaluation | 2026-01-07 | Safety Evaluation | adversarial-robustness, ai-safety, alignment-training, benchmark, safety-evaluation | E6 / R3 (95%) | - |
| RedBench: A Universal Dataset for Comprehensive Red Teaming of Large Language Models Chris Ngo, Quy-Anh Dang, Truong-Son Hy Published: 2026-01-07Area: Safety EvaluationCitations: - Tags: ai-safety, dataset, red-teaming, safety-evaluation | 2026-01-07 | Safety Evaluation | ai-safety, dataset, red-teaming, safety-evaluation | E5 / R4 (95%) | - |
| What Matters For Safety Alignment? Hui-Ling Zhen, Lihao Yin, Mingxuan Yuan, Xianzhi Yu Published: 2026-01-07Area: Safety EvaluationCitations: - Tags: ai-safety, alignment-training, empirical, safety-evaluation | 2026-01-07 | Safety Evaluation | ai-safety, alignment-training, empirical, safety-evaluation | E5 / R3 (93%) | - |
| AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior Monitor Di Wang, Hanqi Yan, Jingyu Hu, Shu Yang Published: 2026-01-09Area: Safety EvaluationCitations: - Tags: ai-safety, benchmark, safety-evaluation | 2026-01-09 | Safety Evaluation | ai-safety, benchmark, safety-evaluation | E4 / R3 (95%) | - |
| FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments Dongpo Cheng, Fangqi Lou, Heng Lian, Huacan Wang Published: 2026-01-09Area: Safety EvaluationCitations: - Tags: adversarial-robustness, ai-safety, benchmark, safety-evaluation | 2026-01-09 | Safety Evaluation | adversarial-robustness, ai-safety, benchmark, safety-evaluation | E5 / R3 (95%) | - |
| SafePro: Evaluating the Safety of Professional-Level AI Agents Ashwin Nagarajan, Chengzhi Liu, Ching-Chen Kuo, Kaiwen Zhou Published: 2026-01-10Area: Safety EvaluationCitations: - Tags: ai-safety, benchmark, safety-evaluation | 2026-01-10 | Safety Evaluation | ai-safety, benchmark, safety-evaluation | E5 / R3 (94%) | - |
| T3: Benchmarking Sycophancy and Skepticism in Causal Judgment Edward Y. Chang Published: 2026-01-13Area: Safety EvaluationCitations: 1 Tags: ai-safety, benchmark, safety-evaluation | 2026-01-13 | Safety Evaluation | ai-safety, benchmark, safety-evaluation | E5 / R3 (95%) | 1 |
| Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations Aidan Homewood, Alejandro Tlaie, Jacob Charnock, Kyle O'Brien Published: 2026-01-17Area: Safety EvaluationCitations: - Tags: ai-safety, position, safety-evaluation | 2026-01-17 | Safety Evaluation | ai-safety, position, safety-evaluation | E6 / R3 (96%) | - |
| Ethical Risks in Deploying Large Language Models: An Evaluation of Medical Ethics Jailbreaking Chengze Yan, Chutian Huang, Dake Cao, Hanhui Xu Published: 2026-01-19Area: Adversarial RobustnessCitations: - Tags: adversarial-robustness, ai-safety, empirical, safety-evaluation | 2026-01-19 | Adversarial Robustness | adversarial-robustness, ai-safety, empirical, safety-evaluation | E5 / R3 (96%) | - |
| Unlearning in LLMs: Methods, Evaluation, and Open Challenges Larry Heck, Tyler Lizzo Published: 2026-01-19Area: Surveys & ReviewsCitations: - Tags: ai-safety, safety-evaluation, survey, surveys-reviews | 2026-01-19 | Surveys & Reviews | ai-safety, safety-evaluation, survey, surveys-reviews | E7 / R3 (96%) | - |
| VirtualCrime: Evaluating Criminal Potential of Large Language Models via Sandbox Simulation Baicheng Chen, Lanlan Qiu, Tianxing He, Wenchang Gao Published: 2026-01-20Area: Safety EvaluationCitations: 1 Tags: ai-safety, alignment-training, benchmark, safety-evaluation | 2026-01-20 | Safety Evaluation | ai-safety, alignment-training, benchmark, safety-evaluation | E6 / R4 (97%) | 1 |
| Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation Hao Peng, Honglak Lee, Jaekyeom Kim, Lajanugen Logeswaran Published: 2026-01-21Area: Safety EvaluationCitations: 1 Tags: ai-safety, empirical, safety-evaluation | 2026-01-21 | Safety Evaluation | ai-safety, empirical, safety-evaluation | E6 / R3 (95%) | 1 |
| SycoEval-EM: Sycophancy Evaluation of Large Language Models in Simulated Clinical Encounters for Emergency Care Carl Preiksaitis, Christian Rose, Dongshen Peng, Yi Wang Published: 2026-01-23Area: Safety EvaluationCitations: - Tags: ai-safety, benchmark, safety-evaluation | 2026-01-23 | Safety Evaluation | ai-safety, benchmark, safety-evaluation | E5 / R3 (93%) | - |
| White-Box Sensitivity Auditing with Steering Vectors David Evans, Hannah Cyberey, Yangfeng Ji Published: 2026-01-23Area: Safety EvaluationCitations: - Tags: ai-safety, empirical, safety-evaluation | 2026-01-23 | Safety Evaluation | ai-safety, empirical, safety-evaluation | E5 / R3 (97%) | - |
| Beyond Preferences: Learning Alignment Principles Grounded in Human Reasons and Values Bochu Ding, Brandon Fain, Henry Bell, Lara Neubauer da Costa Schertel Published: 2026-01-26Area: Alignment TrainingCitations: - Tags: ai-safety, alignment-training, empirical, safety-evaluation | 2026-01-26 | Alignment Training | ai-safety, alignment-training, empirical, safety-evaluation | E5 / R3 (95%) | - |
| Comparison requires valid measurement: Rethinking attack success rate comparisons in AI red teaming Abhinav Palia, A. Feder Cooper, Alexandra Chouldechova, Dan Vann Published: 2026-01-26Area: Safety EvaluationCitations: 1 Tags: ai-safety, red-teaming, safety-evaluation, theoretical | 2026-01-26 | Safety Evaluation | ai-safety, red-teaming, safety-evaluation, theoretical | E5 / R3 (95%) | 1 |
| Expert Evaluation and the Limits of Human Feedback in Mental Health AI Safety Testing Akanksha Dadlani, Darja Djordjevic, Duncan Eddy, Eugenia Kim Published: 2026-01-26Area: Alignment TrainingCitations: - Tags: ai-safety, alignment-training, empirical, safety-evaluation | 2026-01-26 | Alignment Training | ai-safety, alignment-training, empirical, safety-evaluation | E5 / R3 (94%) | - |
| Reflect: Transparent Principle-Guided Reasoning for Constitutional Alignment at Scale Brandon Fain, Caroline Zhang, Dhaval Potdar, Henry Bell Published: 2026-01-26Area: Alignment TrainingCitations: - Tags: ai-safety, alignment-training, empirical, safety-evaluation | 2026-01-26 | Alignment Training | ai-safety, alignment-training, empirical, safety-evaluation | E5 / R4 (95%) | - |