Papers
Mitigating Self-Preference by Authorship Obfuscation
Taslim Mahbub, Shi Feng
Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang et al.
DarkBench+: An Extended Benchmark for Evaluating Dark Patterns in Large Language Models
Yaowen Liu, Shenjia Jing, Yufei Wei et al.
On the Alignment of Large Language Models with Global Human Opinion
Yang Liu, Masahiro Kaneko, Chenhui Chu
MRACL: Multi-Reward Space Guided Adaptive Curriculum Reinforcement Learning for LLMs
Wenxuan Liu, Liangyu Huo, Yi Jing et al.
SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation
Sheng Liu, Tianyu Luan, Phani Nuney et al.
Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models
Aofan Liu, Haoxuan Li, Hongjian Xing et al.
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework
Zi Liang, Liantong Yu, Zhang Shiyu et al.
Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
Zexi Li, Xiangzhu Wang, William F. Shen et al.
Bolster Hallucination Detection via Prompt-Guided Data Augmentation
Wenyun Li, Zheng Zhang, Dongmei Jiang et al.
TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning
Weichen Li, Waleed Mustafa, Marcio Monteiro et al.
How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen
StyleBreak: Revealing Alignment Vulnerabilities in Large Audio-Language Models via Style-Aware Audio Jailbreak
Hongyi Li, Chengxuan Zhou, Chu Wang et al.
ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution
He Li, Xiaojun Chen, Jingcheng He et al.
STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision
Chen Li, Han Zhang, Zhantao Yang et al.
MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control
Juyong Lee, Dongyoon Hahm, June Suk Choi et al.
Selective Weak-to-Strong Generalization
Hao Lang, Fei Huang, Yongbin Li
Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment
Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park et al.
Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment
Shigeki Kusaka, Keita Saito, Mikoto Kudo et al.
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images
Aditya Kumar, Tom Blanchard, Adam Dziedzic et al.
Align to Structure: Aligning Large Language Models with Structural Information
Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee et al.
Transparent Networks for Multivariate Time Series
Minkyu Kim, Suan Lee, Jinho Kim
Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback
Vijay Keswani, Cyrus Cousins, Breanna Nguyen et al.
Benchmarking XAI Explanations with Human-Aligned Evaluations
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier et al.
Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints
Steven J. Jones, Robert E. Wray, John E. Laird