Paper Library

Improving Methodologies for LLM Evaluations Across Global Languages

Akriti Vij, Benjamin Chua, Darshini Ramiah, En Qi Ng, Mahran Morsidi, Naga Nikshith Gangarapu, Sharmini Johnson, Vanessa Wilfred, Vikneswaran Kumaran, Wan Sie Lee, Wenzhuo Yang, Yongsen Zheng, Bill Black, Boming Xia, Frank Sun, Hao Zhang, Qinghua Lu, Suyu Ma, Yue Liu, Chi-kiu Lo, Fatemeh Azadi, Isar Nejadgholi, Sowmya Vajjala, Agnes Delaborde, Nicolas Rolin, Tom Seimandi, Akiko Murakami, Haruto Ishi, Satoshi Sekine, Takayuki Semitsu, Tasuku Sasaki, Angela Kinuthia, Jean Wangari, Michael Michie, Stephanie Kasaon, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim, Daisy Newbold-Harrop, Jessica Wang, Mahmoud Ghanem, Vy Hong

2026-01-22

2601.15706v1

January 19 - January 25, 2026

Attributing and Exploiting Safety Vectors through Global Optimization in Large Language Models

Improving Methodologies for LLM Evaluations Across Global Languages

Beyond Visual Safety: Jailbreaking Multimodal Large Language Models for Harmful Image Generation via Semantic-Agnostic Inputs

Securing LLM-as-a-Service for Small Businesses: An Industry Case Study of a Distributed Chatbot Deployment Platform

LLM Security and Safety: Insights from Homotopy-Inspired Prompt Obfuscation

RECAP: A Resource-Efficient Method for Adversarial Prompting in Large Language Models

PINA: Prompt Injection Attack against Navigation Agents

Sockpuppetting: Jailbreaking LLMs Without Optimization Through Output Prefix Injection

Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching

MirrorGuard: Toward Secure Computer-Use Agents via Simulation-to-Real Reasoning Correction

Ethical Risks in Deploying Large Language Models: An Evaluation of Medical Ethics Jailbreaking

January 12 - January 18, 2026

Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents

TrojanPraise: Jailbreak LLMs via Benign Fine-Tuning

AgenTRIM: Tool Risk Mitigation for Agentic AI

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs

DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection

Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical Evidence

Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM)

Building Production-Ready Probes For Gemini

Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs

Institutional AI: Governing LLM Collusion in Multi-Agent Cournot Markets via Public Governance Graphs

SD-RAG: A Prompt-Injection-Resilient Framework for Selective Disclosure in Retrieval-Augmented Generation

AJAR: Adaptive Jailbreak Architecture for Red-teaming