1 citations · 1 across the 8 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs
Ankush Raut, Xiaofeng Zhu, Maria Leonor Pacheco
This paper evaluates the ability of Large Language Models (LLMs) to leverage contextual information in the form of structured linguistic representations. Specifically, we examine t…
cs.CL2024
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders
Xiaofeng Zhu, Jaya Krishna Mandivarapu
Although people are impressed by the content generation skills of large language models, the use of LLMs, such as ChatGPT, is limited by the domain grounding of the content. The co…