Papers
Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research
Ninell Oldenburg, Ruchira Dhar, Anders Søgaard
CTPD: Cross Tokenizer Preference Distillation
Truong Nguyen, Phi Van Dat, Ngan Nguyen et al.
A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas
Pranav Narayanan Venkit, Jiayi Li, Yingfan Zhou et al.
Quiet Feature Learning in Algorithmic Tasks
Prudhviraj Naidu, Zixian Wang, Leon Bergen et al.
SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences
Arpan Mukherjee, Marcello Bullo, Deniz Gündüz
Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping
Dena Mujtaba, Brian Hu, Anthony Hoogs et al.
STACK: Adversarial Attacks on LLM Safeguard Pipelines
Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng et al.
Misalignment from Treating Means as Ends
Henrik Marklund, Alex Infanger, Benjamin Van Roy
DETONATE – A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization
Renjith Prasad Kaippilly Mana, Abhilekh Borah, Hasnat Md Abdullah et al.
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.