Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …

For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Well-designed prompts can guide text-to-image models to generate amazing images.
However, the performant prompts are often model-specific and misaligned with user input …

Code-generating large language models map natural language to code. However, only a
small portion of the infinite space of naturalistic utterances is effective at guiding code …

To solve complex tasks, large language models (LLMs) often require multiple rounds of
interactions with the user, sometimes assisted by external tools. However, current evaluation …

Text-to-SQL has attracted attention from both the natural language processing and database
communities because of its ability to convert the semantics in natural language into SQL …

Recent advances in deep learning have greatly propelled the research on semantic parsing.
Improvement has since been made in many downstream tasks, including natural language …

In-context learning with large language models (LLMs) has recently caught increasing
attention due to its superior few-shot performance on various tasks. However, its …

Interactive semantic parsing based on natural language (NL) feedback, where users provide
feedback to correct the parser mistakes, has emerged as a more practical scenario than the …

We study the task of semantic parse correction with natural language feedback. Given a
natural language utterance, most semantic parsing systems pose the problem as one-shot …