5 citations · 5 across the 3 of their papers we have counts for
4 papers
SALUS: Automated Auditing of NL-to-SQL Benchmarks through Weak Supervision of Multi-Agent Output
Shiyuan Zhou, Ashwin Gerard Colaco, Sainyam Galhotra +1
Natural language to SQL (NL-to-SQL) benchmarks are foundational to progress in data analysis research, yet recent work has shown that widely-used benchmarks contain significant ann…
MADRAG: Multi-Agent Debate with Retrieval-Augmented Generation for Training-Free Analytic Essay Scoring
Ali Keramati, Shiyuan Zhou, Sharad Mehrotra +1
We present MADRAG, a training-free framework for analytic essay scoring that combines multi-agent reasoning with retrieval-augmented grounding. Unlike standard LLM-as-judge approac…
HEPHA: A Mixed-Initiative Image Labeling Tool for Specialized Domains
Shiyuan Zhou, Bingxuan Li, Xiyuan Chen +4
Image labeling is an important task for training computer vision models. In specialized domains, such as healthcare, it is expensive and challenging to recruit specialists for imag…
Rapid Image Labeling via Neuro-Symbolic Learning
Yifeng Wang, Zhi Tu, Yiwen Xiang +4
The success of Computer Vision (CV) relies heavily on manually annotated data. However, it is prohibitively expensive to annotate images in key domains such as healthcare, where da…