2 citations · 3 across the 9 of their papers we have counts for
14 papers
Aligned but Flattened: Analyzing the Trade-off between Cultural Alignment and Diversity in LLMs
Jingshen Zhang, Shaoyang Xu, Wenxuan Zhang
Cultural fine-tuning has become the de facto paradigm for building culture-aware large language models (LLMs), yet existing optimization exclusively for alignment scores provides a…
Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack
Long P. Hoang, Hai V. Le, Shaoyang Xu +2
Large language models (LLMs) are rigorously aligned to refuse harmful requests, a process that inherently cultivates a latent capacity to evaluate and recognize unsafe content. In…
Beyond Alignment: Value Diversity as a Collective Property in Multicultural Agent Systems
Shaoyang Xu, Jingshen Zhang, Long P. Hoang +2
Multicultural multi-agent systems are increasingly deployed in globally diverse settings, where different agents are grounded in different cultural backgrounds. Existing cultural e…
Process Rewards with Learned Reliability
Jinyuan Li, Langlin Huang, Chengsong Huang +5
Process Reward Models (PRMs) provide step-level feedback for reasoning, but current PRMs usually output only a single reward score for each step. Downstream methods must therefore…
Training Data Efficiency in Multimodal Process Reward Models
Jinyuan Li, Chengsong Huang, Langlin Huang +4
Multimodal Process Reward Models (MPRMs) are central to step-level supervision for visual reasoning in MLLMs. Training MPRMs typically requires large-scale Monte Carlo (MC)-annotat…
MoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook
Yi Feng, Chen Huang, Zhibo Man +4
Large-scale communities of AI agents are becoming increasingly prevalent, creating new environments for agent-agent social interaction. Prior work has examined multi-agent behavior…