activity
20242026
collaborators

7 papers

cs.CL2026

Seeing is Believing? Evaluating Vision-Language Model Susceptibility in Agent-to-Agent Multimodal Persuasion

Haoyi Qiu, Yilun Zhou, Pranav Narayanan Venkit +4

As autonomous agents increasingly interact, they inevitably attempt to influence one another. While prior work in text-only settings has explored the dynamics of Agent-to-Agent (A2…

cs.CL2026

From Preferences to Prejudice: The Role of Alignment Tuning in Shaping Social Bias in Video Diffusion Models

Zefan Cai, Haoyi Qiu, Haozhe Zhao +6

Recent advances in video diffusion models have significantly enhanced text-to-video generation, particularly through alignment tuning using reward models trained on human preferenc…

cs.CL2025

Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies

Haoyi Qiu, Kung-Hsiang Huang, Ruichen Zheng +2

Large vision-language models (LVLMs) are increasingly deployed in globally distributed applications, such as tourism assistants, yet their ability to produce culturally appropriate…

cs.CL2025

MMGR: Multi-Modal Generative Reasoning

Zefan Cai, Haoyi Qiu, Tianyi Ma +9

Video foundation models generate visually realistic and temporally coherent content, but their reliability as world simulators depends on whether they capture physical, logical, an…

cs.CL2025

Evaluating Cultural and Social Awareness of LLM Web Agents

Haoyi Qiu, Alexander R. Fabbri, Divyansh Agarwal +4

As large language models (LLMs) expand into performing as agents for real-world applications beyond traditional NLP tasks, evaluating their robustness becomes increasingly importan…

cs.CL2024

VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language Models

Haoyi Qiu, Wenbo Hu, Zi-Yi Dou +1

Large Vision-Language Models (LVLMs) suffer from hallucination issues, wherein the models generate plausible-sounding but factually incorrect outputs, undermining their reliability…