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20202024
most citedExplainable Automated Debugging via Large Language Model-driven Scientific Debugging

14 citations · 34 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CL2023

How Do In-Context Examples Affect Compositional Generalization?

Shengnan An, Zeqi Lin, Qiang Fu +4

Compositional generalization--understanding unseen combinations of seen primitives--is an essential reasoning capability in human intelligence. The AI community mainly studies this…

cs.CL202212 cited

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models

Shengnan An, Yifei Li, Zeqi Lin +6

Recently the prompt-tuning paradigm has attracted significant attention. By only tuning continuous prompts with a frozen pre-trained language model (PLM), prompt-tuning takes a ste…

cs.CL2021

Learning Algebraic Recombination for Compositional Generalization

Chenyao Liu, Shengnan An, Zeqi Lin +6

Neural sequence models exhibit limited compositional generalization ability in semantic parsing tasks. Compositional generalization requires algebraic recombination, i.e., dynamica…

cs.CL2020

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

Yuntao Li, Bei Chen, Qian Liu +4

In Natural Language Interfaces to Databases systems, the text-to-SQL technique allows users to query databases by using natural language questions. Though significant progress in t…

cs.CL20203 cited

Incomplete Utterance Rewriting as Semantic Segmentation

Qian Liu, Bei Chen, Jian-Guang Lou +2

Recent years the task of incomplete utterance rewriting has raised a large attention. Previous works usually shape it as a machine translation task and employ sequence to sequence…