10 citations · 20 across the 7 of their papers we have counts for
4 papers · 1 filter
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
Boshi Wang, Hao Fang, Jason Eisner +2
Tools are essential for large language models (LLMs) to acquire up-to-date information and take consequential actions in external environments. Existing work on tool-augmented LLMs…
Text-to-SQL Error Correction with Language Models of Code
Ziru Chen, Shijie Chen, Michael White +5
Despite recent progress in text-to-SQL parsing, current semantic parsers are still not accurate enough for practical use. In this paper, we investigate how to build automatic text-…
Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
Kai Zhang, Bernal Jiménez Gutiérrez, Yu Su
Recent work has shown that fine-tuning large language models (LLMs) on large-scale instruction-following datasets substantially improves their performance on a wide range of NLP ta…
Compositional Generalization for Natural Language Interfaces to Web APIs
Saghar Hosseini, Ahmed Hassan Awadallah, Yu Su
This paper presents Okapi, a new dataset for Natural Language to executable web Application Programming Interfaces (NL2API). This dataset is in English and contains 22,508 question…