Papers
HumorReject: Decoupling LLM Safety from Refusal Prefix via a Little Humor
Zihui Wu, Haichang Gao, Jiacheng Luo et al.
Designing Incident Reporting Systems for Harms from General-Purpose AI
Kevin Wei, Lennart Heim
Safe Multi-agent Reinforcement Learning with Natural Language Constraints
Ziyan Wang, Meng Fang, Tristan Tomilin et al.
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
Zixia Wang, Gaojie Jin, Jia Hu et al.
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data
Zijun Wang, Haoqin Tu, Yuhan Wang et al.
Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding
Youze Wang, Zijun Chen, Ruoyu Chen et al.
Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems
Xiaoqing Wang, Keman Huang, Bin Liang et al.
Persistent Instability in LLM’s Personality Measurements: Effects of Scale, Reasoning, and Conversation History
Tommaso Tosato, Saskia Helbling, Yorguin-Jose Mantilla-Ramos et al.
SMPRO: Self-Supervised Visual Preference Alignment via Differentiable Multi-Preference Multi-Group Ranking
Sirnam Swetha, Rui Meng, Shwetha Ram et al.
Beyond Verdicts: Evaluating Language Model Moral Competence
Aaron J Snoswell, Daniel Kilov, Seth Lazar
Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training
Jianfeng Si, Lin Sun, Zhewen Tan et al.
EASE: Practical and Efficient Safety Alignment for Small Language Models
Haonan Shi, Guoli Wang, Tu Ouyang et al.
Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks
Yuval Shapira, Dana Drachsler-Cohen
Detecting Compute Structuring in AI Governance Is Likely Feasible
Emmanouil Seferis, Timothy Fist
Polarity-Aware Probing for Quantifying Latent Alignment in Language Models
Sabrina Sadiekh, Elena Ericheva, Chirag Agarwal
Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation
Hoe Sung Ryu, Christian Wallraven
Confirmation Bias: A Challenge for Scalable Oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon et al.
FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research
Gabriel Recchia, Chatrik Singh Mangat, Issac Li et al.
Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models
Md Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang et al.
Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning
Ankita Raj, Chetan Arora
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
Wei Qian, Chenxu Zhao, Yangyi Li et al.
Beyond I’m Sorry, I Can’t: Dissecting Large-Language-Model Refusal
Nirmalendu Prakash, Yeo Wei Jie, Amir Abdullah et al.
AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment
Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess et al.
Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA
Ayush Pandey, Jai Bardhan, Ishita Jain et al.
LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck et al.