2 papers
cs.DL2025
ARISE: Agentic Rubric-Guided Iterative Survey Engine for Automated Scholarly Paper Generation
Zi Wang, Xingqiao Wang, Sangah Lee +1
The rapid expansion of scholarly literature presents significant challenges in synthesizing comprehensive, high-quality academic surveys. Recent advancements in agentic systems off…
cs.CL2024
Leveraging large language models for efficient representation learning for entity resolution
Xiaowei Xu, Bi T. Foua, Xingqiao Wang +2
In this paper, the authors propose TriBERTa, a supervised entity resolution system that utilizes a pre-trained large language model and a triplet loss function to learn representat…