Xiang Deng

Orcid: 0000-0002-9214-7151

Affiliations:
  • The Ohio State University, Columbus, OH, USA


According to our database1, Xiang Deng authored at least 20 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Mind2Web: Towards a Generalist Agent for the Web.
CoRR, 2023

Exploring Chain-of-Thought Style Prompting for Text-to-SQL.
CoRR, 2023

LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

A More Accessible Web with Natural Language Interface.
Proceedings of the 20th International Web for All Conference, 2023

Models and Practice of Neural Table Representations.
Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

Roll Up Your Sleeves: Working with a Collaborative and Engaging Task-Oriented Dialogue System.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023

Exploring Chain of Thought Style Prompting for Text-to-SQL.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
TURL: Table Understanding through Representation Learning.
SIGMOD Rec., 2022

Bootstrapping a User-Centered Task-Oriented Dialogue System.
CoRR, 2022

Shepherd Pre-trained Language Models to Develop a Train of Thought: An Iterative Prompting Approach.
CoRR, 2022

DOM-LM: Learning Generalizable Representations for HTML Documents.
CoRR, 2022

Iteratively Prompt Pre-trained Language Models for Chain of Thought.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Structure-Grounded Pretraining for Text-to-SQL.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ReasonBERT: Pre-trained to Reason with Distant Supervision.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2019
Easy-to-Hard: Leveraging Simple Questions for Complex Question Generation.
CoRR, 2019

Automatic Table completion using Knowledge Base.
CoRR, 2019

Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019


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