1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Synthetic Users, Real Differences: an Evaluation Framework for User Simulation in Multi-Turn Conversations
Yu Lu Liu, Hyokun Yun, Tanya Roosta +1
There is growing interest in exploring user simulation as an alternative to gathering and scoring real user-chatbot interactions for AI chatbot evaluation. For this purpose, it is…
cs.CL2023★ 1 cited
Responsible AI Considerations in Text Summarization Research: A Review of Current Practices
Yu Lu Liu, Meng Cao, Su Lin Blodgett +3
AI and NLP publication venues have increasingly encouraged researchers to reflect on possible ethical considerations, adverse impacts, and other responsible AI issues their work mi…
cs.CL2022★ 1 cited
MaskEval: Weighted MLM-Based Evaluation for Text Summarization and Simplification
Yu Lu Liu, Rachel Bawden, Thomas Scialom +2
In text summarization and simplification, system outputs must be evaluated along multiple dimensions such as relevance, factual consistency, fluency, and grammaticality, and a wide…