activity
20232026
most citedLabeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects

6 citations · 12 across the 9 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CL2025

Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA

Pu Zhao, Arash Akbari, Xuan Shen +16

Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are pro…

cs.LG2025

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought

Jiachen Zhao, Yiyou Sun, Weiyan Shi +1

Large language models can generate long chain-of-thought (CoT) reasoning, yet prior work suggests that CoT can be post-hoc rationalization rather than a faithful reflection of the…

cs.CL2025

LLMs Encode Harmfulness and Refusal Separately

Jiachen Zhao, Jing Huang, Zhengxuan Wu +2

LLMs are trained to refuse harmful instructions, but do they truly understand harmfulness beyond just refusing? Prior work has shown that LLMs' refusal behaviors can be mediated by…

cs.CY2025★ 6 cited

Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects

Isabel O. Gallegos, Chen Shani, Weiyan Shi +4

As generative artificial intelligence (AI) enables the creation and dissemination of information at massive scale and speed, it is increasingly important to understand how people p…

cs.HC2025★ 2 cited

Proactive Conversational Agents with Inner Thoughts

Xingyu Bruce Liu, Shitao Fang, Weiyan Shi +3

One of the long-standing aspirations in conversational AI is to allow them to autonomously take initiatives in conversations, i.e., being proactive. This is especially challenging…