2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025
A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text
Alicia Sagae, Chia-Jung Lee, Sandeep Avula +2
Current methods for evaluating large language models (LLMs) typically focus on high-level tasks such as text generation, without targeting a particular AI application. This approac…
cs.AI2020★ 2 cited
Long Document Ranking with Query-Directed Sparse Transformer
Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee +1
The computing cost of transformer self-attention often necessitates breaking long documents to fit in pretrained models in document ranking tasks. In this paper, we design Query-Di…
cs.CL2020
Incorporating Behavioral Hypotheses for Query Generation
Ruey-Cheng Chen, Chia-Jung Lee
Generative neural networks have been shown effective on query suggestion. Commonly posed as a conditional generation problem, the task aims to leverage earlier inputs from users in…