2 citations · 2 across the 5 of their papers we have counts for
6 papers
DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss
Ruixuan Tu, Yuyang Dong
Knowledge distillation (KD) frameworks place teacher and student on the same GPUs, so per-GPU memory limits the teachers that fit. DisaggKD separates them across nodes: teacher rep…
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
Modeling opinion change through social interactions is important for understanding polarization, misinformation, and societal conflict. Recent work simulates opinion dynamics with…
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…
DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely
Forrest Sheng Bao, Ruixuan Tu, Ge Luo +5
Automated summary quality assessment falls into two categories: reference-based and reference-free. Reference-based metrics, historically deemed more accurate due to the additional…