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20232026
most citedA Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

12 citations · 14 across the 10 of their papers we have counts for

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cs.CL2023

Improving Generalization in Language Model-Based Text-to-SQL Semantic Parsing: Two Simple Semantic Boundary-Based Techniques

Daking Rai, Bailin Wang, Yilun Zhou +1

Compositional and domain generalization present significant challenges in semantic parsing, even for state-of-the-art semantic parsers based on pre-trained language models (LMs). I…

cs.CL2023★ 1 cited

Explaining Large Language Model-Based Neural Semantic Parsers (Student Abstract)

Daking Rai, Yilun Zhou, Bailin Wang +1

While large language models (LLMs) have demonstrated strong capability in structured prediction tasks such as semantic parsing, few amounts of research have explored the underlying…