4 papers
Towards Effective Generation of Interactive Visualizations with Vibe Coding: An Empirical Study
Yanshan Zeng, Ruixuan Tu, Zuo Xiang +3
Constructing interactive visualizations has traditionally required substantial human effort, involving both technical implementation and design decision-making. Recently, vibe codi…
DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents
Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai +9
Accurately modeling opinion change through social interactions is crucial for understanding and mitigating polarization, misinformation, and societal conflict. Recent work simulate…
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMs
Forrest Sheng Bao, Miaoran Li, Renyi Qu +13
Summarization is one of the most common tasks performed by large language models (LLMs), especially in applications like Retrieval-Augmented Generation (RAG). However, existing eva…
Is Semantic Chunking Worth the Computational Cost?
Renyi Qu, Ruixuan Tu, Forrest Bao
Recent advances in Retrieval-Augmented Generation (RAG) systems have popularized semantic chunking, which aims to improve retrieval performance by dividing documents into semantica…