111 citations · 195 across the 12 of their papers we have counts for
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cs.CL2025
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey
Bo Ni, Zheyuan Liu, Leyao Wang +17
Retrieval-Augmented Generation (RAG) is an advanced technique designed to address the challenges of Artificial Intelligence-Generated Content (AIGC). By integrating context retriev…
cs.CL2020★ 13 cited
Chat as Expected: Learning to Manipulate Black-box Neural Dialogue Models
Haochen Liu, Zhiwei Wang, Tyler Derr +1
Recently, neural network based dialogue systems have become ubiquitous in our increasingly digitalized society. However, due to their inherent opaqueness, some recently raised conc…
cs.CL2019★ 18 cited
Say What I Want: Towards the Dark Side of Neural Dialogue Models
Haochen Liu, Tyler Derr, Zitao Liu +1
Neural dialogue models have been widely adopted in various chatbot applications because of their good performance in simulating and generalizing human conversations. However, there…