Xuanliang Zhang

According to our database1, Xuanliang Zhang authored at least 17 papers between 2024 and 2025.

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

Timeline

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Links

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Bibliography

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

A Survey on Latent Reasoning.
CoRR, July, 2025

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

Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions.
CoRR, June, 2025

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

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals.
CoRR, May, 2025

Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval.
CoRR, April, 2025

MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering.
CoRR, February, 2025

MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL.
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

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

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

DAC: Decomposed Automation Correction for Text-to-SQL.
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

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024


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