Dingzirui Wang

According to our database1, Dingzirui Wang authored at least 29 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
How Do Language Models Understand Tables? A Mechanistic Analysis of Cell Location.
CoRR, February, 2026

When Does Context Help? Error Dynamics of Contextual Information in Large Language Models.
CoRR, February, 2026

2025
A survey of table reasoning with large language models.
Frontiers Comput. Sci., September, 2025

Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond.
CoRR, September, 2025

Multi-Layer Attention is the Amplifier of Demonstration Effectiveness.
CoRR, August, 2025

V-SYNTHESIS: Task-Agnostic Synthesis of Consistent and Diverse In-Context Demonstrations from Scratch via V-Entropy.
CoRR, June, 2025

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.
CoRR, June, 2025

HIT-SCIR at IJCKG2025: Multi-step Text-to-SQL System.
Proceedings of the Knowledge Graphs - 14th International Joint Conference, 2025

MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DAC: Decomposed Automation Correction for Text-to-SQL.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

2024
ConDA: state-based data augmentation for context-dependent text-to-SQL.
Int. J. Mach. Learn. Cybern., August, 2024

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types.
CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.
CoRR, 2024

FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats.
CoRR, 2024

Multi-Hop Table Retrieval for Open-Domain Text-to-SQL.
CoRR, 2024

Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing.
Int. J. Mach. Learn. Cybern., December, 2023

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning.
CoRR, 2023

MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Survey on Table-and-Text HybridQA: Concepts, Methods, Challenges and Future Directions.
CoRR, 2022

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL.
CoRR, 2022

Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022


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